Journal articles: 'Joint optimization'

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Stichler, Jaynelle F., and Laurie Ecoff. "Joint Optimization." JONA: The Journal of Nursing Administration 39, no. 4 (April 2009): 156–59. http://dx.doi.org/10.1097/nna.0b013e31819c9b95.

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Singh, Ranjeet, and Er Gora Ram Sharma. "Analysis and Optimization of T Shape Weld Joint Using FEA." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (December 31, 2022): 1783–88. http://dx.doi.org/10.22214/ijraset.2022.48154.

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Abstract: The weld joints are used in various types of mechanical and civil engineering structures to strengthen the joints. The strength of T shaped weld joint significantly depends upon the design parameters of weld joint. The current research is intended to investigate the T shaped weld joint using techniques of Finite Element Analysis (FEA). The FEA analysis is conducted on T shaped weld joint using ANSYS simulation package. The optimization studies are conducted on T shaped weld joint to determine the effect weld joint parameters on induced deformation. From the optimization studies, the dimensions corresponding to weld height is determined for maximum and minimum deformation of T shaped weld joint.

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Ozer, Halil, and Ozkan Oz. "Joint Stress Optimization by the Hybrid Adhesive Lap Joint." Advanced Materials Research 445 (January 2012): 1000–1004. http://dx.doi.org/10.4028/www.scientific.net/amr.445.1000.

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Hybrid adhesive joint is an alternative stress reduction technique for the adhesively bonded joints. Hybrid adhesive means that it is used dual adhesives in the overlap region. Adhesive having high modulus of elasticity should be located in the middle of the bondline and the other adhesive having low modulus of elasticity at the ends. In this study, the effect of the hybrid adhesive bondline on the distributions of the peeling, shear and von Mises stress components at the single lap joint were investigated by using three-dimensional finite element model. The results show that the considered stress components can be optimized by using hybrid adhesive joint.

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Genaldy, Ashraf, and Abdolazim Houshyar. "Optimization Techniques in Occupational Biomechanics." Proceedings of the Human Factors Society Annual Meeting 33, no. 11 (October 1989): 672–76. http://dx.doi.org/10.1177/154193128903301110.

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In most detailed representations of joint mechanics incorporating the effects of muscle forces in biomechanical models the number of available force-carrying structures crossing the joints are in excess of the number of available equilibrium of the joint. Unless one makes gross anatomical and functional simplifications, the mathematical description of joint mechanics involves an undetermined set of equations. Different approaches have been taken by researchers to solve this statically indeterminate problem, but the intuitive reasonableness of optimization in body function has led investigators to use numeral optimization procedures in the prediction of muscle force activity. This paper reviews and evaluates various optimization techniques applied to occupational biomechanics.

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Zhu, Nanhai, and Jinlei Liu. "Multiobjective Topology Optimization of Spatial-Structure Joints." Advances in Civil Engineering 2021 (April 10, 2021): 1–13. http://dx.doi.org/10.1155/2021/5530644.

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To realize the static and dynamic multiobjective topology optimization of joints in spatial structures, structural topology optimization is carried out to maximize the stiffness under static multiload conditions and maximize the first third-order dynamic natural frequencies. According to the single-objective optimization results, the objective function of the multiobjective topology optimization of joints is established by using the compromise programming method, and the weight coefficient of each static load condition is determined by using the analytic hierarchy process. Subsequently, under the constraint of the volume fraction, the multiobjective topology optimization of joints is realized by minimizing the multiobjective function. Finally, the optimized structure is smoothed to obtain a smoother joint, and its mechanical properties are compared with those of the hollow ball joint. The results indicate that the multiobjective topology optimization that considers the static stiffness and dynamic frequency can effectively improve the mechanical properties of the structure. Through the research on multiobjective topology optimization, a new type of spatial joint with reasonable stress, a novel form, and aesthetic shape can be obtained, which mitigates the shortcomings of single-objective topology optimization. In comparison to hollow spherical joints with the same weight, topology-optimized joints have a superior ability to resist deformation and improve low-order frequency, which verifies the feasibility of applying multiobjective topology optimization to the lightweight design of joints.

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Li, Xinning, Qin Yang, Hu Wu, Shuai Tan, Qun He, Neng Wang, and Xianhai Yang. "Joints Trajectory Planning of Robot Based on Slime Mould Whale Optimization Algorithm." Algorithms 15, no. 10 (September 29, 2022): 363. http://dx.doi.org/10.3390/a15100363.

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The joints running trajectory of a robot directly affects it’s working efficiency, stationarity and working quality. To solve the problems of slow convergence speed and weak global search ability in the current commonly used joint trajectory optimization algorithms, a joint trajectory planning method based on slime mould whale optimization algorithm (SMWOA) was researched, which could obtain the joint trajectory within a short time and with low energy consumption. On the basis of analyses of the whale optimization algorithm (WOA) and slime mould algorithm (SMA) in detail, the SMWOA was proposed by combining the two methods. By adjusting dynamic parameters and introducing dynamic weights, the proposed SMWOA increased the probability of obtaining the global optimal solution. The optimized results of 15 benchmark functions verified that the optimization accuracy of the SMWOA is clearly better than that of other classical algorithms. An experiment was carried out in which this algorithm was applied to joint trajectory optimization. Taking 6-DOF UR5 manipulator as an example, the results show that the optimized running time of the joints is reduced by 37.674% compared with that before optimization. The efficiency of robot joint motion was improved. This study provides a theoretical basis for the optimization of other engineering fields.

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Dunchenkin, P. V., V. A. Cherekaeva, T. V. Yakovleva, and A. V. Krysko. "Topological Optimization of Interconnection of Multilayer Composite Structures." Computation 11, no. 5 (April 25, 2023): 87. http://dx.doi.org/10.3390/computation11050087.

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This study focuses on the topological optimization of adhesive overlap joints for structures subjected to longitudinal mechanical loads. The aim is to reduce peak stresses at the joint interface of the elements. Peak stresses in such joints can lead to failure of both the joint and the structure itself. A new approach based on Rational Approximation of Material Properties (RAMP) and the Finite Element Method (FEM) has been proposed to minimize peak stresses in multi-layer composite joints. Using this approach, the Mises peak stresses of the optimal structural joint have been significantly reduced by up to 50% under mechanical loading in the longitudinal direction. The paper includes numerical examples of different types of structural element connections.

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Li, Xiao Wen, Ping Li, Zhuang Lin, and Dong Mei Yang. "Analysis and Optimization of Metal to Composite Joints for Marine Structures." Applied Mechanics and Materials 556-562 (May 2014): 91–95. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.91.

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Composite to metal joints as important components of marine structures are gradually found in the marine industry. The purpose of this study is to investigate mechanical performance and optimization method of the composite sandwich to steel joints. The main emphasis was placed on the mechanical properties of a hybrid joint between a sandwich glass fibre reinforced plastic superstructure and a steel main hull. Based on the experiments of a base joint, a new finite element method was used to analyze a series of joints. The optimized joint was presented due to reducing weight and enhancing the mechanical performance. The numerical predictions of the base hybrid joint showed a very good correlation with the experiment results, which validated the reliability of the new finite element method. The strength of the optimized joint was also evaluated by finite element method. The result is similar to the base joint. And there is no additional stress concentration in weak parts. The optimized joint has 30% lower weight than the base joint, and the stress is only about 5% ~ 56% of the base one. The results of the present work imply that the change of geometric parameter is an effective method to improve the performance of the metal to composite joint.

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Armaos, P. "A Study of Joint Cost Inclusion in Linear Programming Optimization." Engineering, Technology & Applied Science Research 3, no. 4 (August 11, 2013): 473–78. http://dx.doi.org/10.48084/etasr.327.

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The concept of Structural Optimization has been a topic or research over the past century. Linear Programming Optimization has proved being the most reliable method of structural optimization. Global advances in linear programming optimization have been recently powered by University of Sheffield researchers, to include joint cost, self-weight and buckling considerations. A joint cost inclusion scopes to reduce the number of joints existing in an optimized structural solution, transforming it to a practically viable solution. The topic of the current paper is to investigate the effects of joint cost inclusion, as this is currently implemented in the optimization code. An extended literature review on this subject was conducted prior to familiarization with small scale optimization software. Using IntelliFORM software, a structured series of problems were set and analyzed. The joint cost tests examined benchmark problems and their consequent changes in the member topology, as the design domain was expanding. The findings of the analyses were remarkable and are being commented further on. The distinct topologies of solutions created by optimization processes are also recognized. Finally an alternative strategy of penalizing joints is presented.

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Li, Xinyue, Lei Lu, Cheng Fan, Fusheng Liang, Lining Sun, and Lei Zhang. "Ball-End Cutting Tool Posture Optimization for Robot Surface Milling Considering Different Joint Load." Applied Sciences 13, no. 9 (April 24, 2023): 5328. http://dx.doi.org/10.3390/app13095328.

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Robots with openness and flexibility have attracted a large number of researchers to conduct in-depth studies in the field of surface machining. However, there is a redundant degree of freedom (DOF) in 6-DOF robot machining: when a ball end milling cutter is used to process curved parts, the tool point needs to strictly follow the planned milling trajectory, but the tool axis vector only needs to be within a certain range. During the machining process, the rotation of the tool around its axis is not constrained. Therefore, it is necessary to optimize the redundant DOF. Aiming at the redundant DOF of the tool axis vector in ball end milling for surface parts, a Redundancy Optimization strategy for Minimum Joint trajectory (ROMJ) is proposed. It takes the shortest trajectory of robot joints as the optimization objective, and the numerical optimization method is adopted to carry out the optimal design of tool axis vector trajectory in the milling process. Before optimization, to decrease the data volume, the number of track points is sampled and adjusted based on curve characterization errors. In the optimization process, considering the obvious difference in the load quality characteristics of the robot joints, a Redundancy Optimization strategy for Minimum Joint trajectory considering the different Load of joints (ROMJ-L) is proposed. The load difference coefficients of each joint are introduced into the optimization objective of the trajectory of robot joints. By using this method, the optimal design of each joint trajectory of the robot is realized. In order to verify the methods proposed in this paper, a comparison experiment is carried out. The results show that under the same tool point trajectory, the proposed methods can significantly reduce the robot joint trajectory, and the joint trajectory is influenced by the load difference of each joint. Finally, an Eflin-10 robot is used to process the butterfly trajectory tool path by the trajectory planned by the ROMJ-L method, and the results show that the method is practical.

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Grenville, N. Delia, and Brian M. Kleiner. "Level of Joint Optimization." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 13 (October 1998): 959–63. http://dx.doi.org/10.1177/154193129804201303.

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The macroergonomic construct of joint optimization was operationally defined as time allotment to the personnel and technological subsystems in a laboratory quality inspection experiment. Individual and group performance as well as perceived level of joint optimization were measured for each treatment condition. The experiment was organized as a one-factor between subjects design with six levels: 30%, 40%, 50%, 60%, 70% and 80% allotted to the technological subsystem. While there were no significant differences in individual performance due to the amount of time allotted to tasks in the technical or social subsystems, differences did occur at the group performance level. Overall, the results of the study are encouraging and suggest there may be a cause and effect relationship between time allotment and level of joint optimization and performance in the technical subsystem.

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Kamal, Shoaib, V. Parthiban, G. Puthilibai, M. Thirumal Azhagan, Neel Kamal, T. S. Senthil, and Simon Yishak. "Investigation on Tensile Behaviour of Different Weld Joints through Taguchi Approach." Advances in Materials Science and Engineering 2022 (May 10, 2022): 1–9. http://dx.doi.org/10.1155/2022/5258014.

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Friction stir welding is a dependable method of joining metals and other materials. Relatively joint configuration-specific welding process parameters have not yet been tuned. This work is concerned with the Taguchi orthogonal arrays to perform an analysis of variance. In this study, FSW joint configurations of AA6262-T6 Al alloy, such as butt, lap, and T joints, were studied for optimization. An orthogonal array of welds was selected using the Taguchi method. After the welds were constructed, the ultimate tensile strength of each joint was examined for statistical optimization. The lack of parameter optimization studies for butt, lap, and T joints prompted this research to fill the void. As a result, each joint arrangement must be optimised for mechanical properties and a set of parameters must be developed.

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Du, Wenfeng, Hui Wang, Liming Zhu, Yannan Zhao, Yingqi Wang, Runqi Hao, and Mijia Yang. "Innovative Joint for Cable Dome Structure Based on Topology Optimization and Additive Manufacturing." Materials 14, no. 18 (September 8, 2021): 5158. http://dx.doi.org/10.3390/ma14185158.

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Aiming at the problems of a low material utilization rate and uneven stress distribution of cast-steel support joints in cable dome structures, topology optimization and additive manufacturing methods are used for optimization design and integrated manufacturing. First, the basic principle and calculation process of topology optimization are briefly introduced. Then, the initial model of the support joint is calculated and analyzed by using the universal software ANSYS Workbench 2020R2 and Altair OptiStruct, and the optimized joint is imported into Discovery Live to smooth the surface. The static behaviors of three types of joints (topology-optimized joints, joints after the smoothing treatment, and joints from practical engineering) are compared and analyzed. Finally, the joints are printed by using fused deposition modeling (FDM) technology and laser-based powder bed fusion (LBPBF) technology in additive manufacturing. The results show that the new support joint in the cable dome structure obtained by the topology optimization method has the advantages of a novel shape, a high material utilization rate, and a uniform stress distribution. Additive manufacturing technology can allow the manufacture of complex shape components with high precision and high speed. The combination of topology optimization and additive manufacturing effectively realizes the advanced design and integrated manufacturing of support joints for cable dome structures.

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Lin, Yi-Chung, Jack Farr, Kevin Carter, and Benjamin J. Fregly. "Response Surface Optimization for Joint Contact Model Evaluation." Journal of Applied Biomechanics 22, no. 2 (May 2006): 120–30. http://dx.doi.org/10.1123/jab.22.2.120.

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When optimization is used to evaluate a joint contact model's ability to reproduce experimental measurements, the high computational cost of repeated contact analysis can be a limiting factor. This paper presents a computationally-efficient response surface optimization methodology to address this limitation. Quadratic response surfaces were fit to contact quantities (contact force, maximum pressure, average pressure, and contact area) predicted by a discrete element contact model of the tibiofemoral joint for various combinations of material modulus and relative bone pose (i.e., position and orientation). The response surfaces were then used as surrogates for costly contact analyses in optimizations that minimized differences between measured and predicted contact quantities. The methodology was evaluated theoretically using six sets of synthetic (i.e., computer-generated) contact data, and practically using one set of experimental contact data. For the synthetic cases, the response surface optimizations recovered all contact quantities to within 3.4% error. For the experimental case, they matched all contact quantities to within 6.3% error except for maximum contact pressure, which was in error by up to 50%. Response surface optimization provides rapid evaluation of joint contact models within a limited range of relative bone poses and can help identify potential weaknesses in contact model formulation and/or experimental data quality.

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Yao Song, Yao Song, Limin Xiao Yao Song, Liang Wang Limin Xiao, Wei Wei Liang Wang, and Jinquan Wang Wei Wei. "Joint Online Optimization of Task Rescheduling and Data Redistribution." 網際網路技術學刊 24, no. 1 (January 2023): 011–22. http://dx.doi.org/10.53106/160792642023012401002.

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<p>Wide-area distributed computing environment is the main platform for storing large amounts of data and conducting wide-area computing. Tasks and data are jointly scheduled among multiple computing platforms to improve system efficiency. However, large network latency and limited bandwidth in wide-area networks may cause a large delay in scheduling information and data migration, which brings low task execution efficiency and a long time waiting for data. Traditional works mainly focus on allocating tasks based on data locality or distributing data replications, but optimizing task allocation or data placement alone is insufficient from a global perspective. To mitigate the impact of large network latency and limited bandwidth on system performance, joint online optimization of task rescheduling and data redistribution is proposed in this study. The task allocation and data placement can be adjusted collaboratively during the system running process through the task stealing and backfilling mechanism and the data replication placement mechanism. The experimental results indicate that compared with the state-of-the-art method, the proposed method improves the system throughput and computing resource utilization by 20.67% and 20.26% respectively, and can significantly reduce the global data migration costs.</p> <p> </p>

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He, Dajiang, Bohan Liu, Zhenwu Wang, You Shu, and Minghui Liu. "Study on Fault Optimization of Intermediate Joint of Power Cable." Journal of Physics: Conference Series 2260, no. 1 (April 1, 2022): 012025. http://dx.doi.org/10.1088/1742-6596/2260/1/012025.

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Abstract Cable joints are often prone to failure due to loose contact, small contact area and increased contact resistance, resulting in obvious heating. In the existing cable emergency repair work, the cable joints of the original section of the cable and the access end are made on site. Due to the long production time, the emergency repair speed is reduced. Therefore, this paper studies the connection mode of the new cable joint to make the contact between conductors more sufficient and the contact resistance smaller, and designs a scheme of three-phase cable plug-in intermediate joint with high safety and simple installation; at the position of cable joint, three kinds of flexible conductive polymer materials suitable for joint connection are proposed to be used at the contact gap between conductor and conductor, conductor and conductor sleeve, so as to make close contact, reduce contact resistance and further reduce the incidence of cable joint failure.

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Darvekar, Sanjay K., S. Shankar Ganesh, and A. B. Koteswara Rao. "Design Optimization of 3-DOF Hybrid Manipulator." ECS Transactions 107, no. 1 (April 24, 2022): 663–71. http://dx.doi.org/10.1149/10701.0663ecst.

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Studies related to reachable workspace, inverse kinematics, and best dimensions of 3-DOF Hybrid Manipulator (HM) are presented in this paper. This mechanism possesses both serial and parallel links. A third revolute joint is added in the five-linkage structure having two actuated revolute joints. The third revolute joint is added in such a way that its axis should pass through the axes of the two actuated revolute joints. This produces a structure called a hybrid mechanism consisting of parallel and serial links. The inverse kinematics analysis is implemented for obtaining the joint positions of the HM. The reachable workspace of the manipulator is found using inverse kinematic equations, and finally, the Global Conditioning Index (GCI) is used for optimization to find the optimal dimensions of the HM. The corresponding dimensions obtained based on the optimization by considering maximum GCI as an objective gives the best dimensions that are free from singularities. Here optimization is carried using Genetic Algorithms (GAs).

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Schindler, H. J., S. Rues, J. C. Türp, K. Schweizerhof, and J. Lenz. "Jaw Clenching: Muscle and Joint Forces, Optimization Strategies." Journal of Dental Research 86, no. 9 (September 2007): 843–47. http://dx.doi.org/10.1177/154405910708600907.

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Realistic masticatory muscle and temporomandibular joint forces generated during bilateral jaw clenching are largely unknown. To determine which clenching directions load masticatory muscles and temporomandibular joints most heavily, we investigated muscle and joint forces based on feedback-controlled electromyograms of all jaw muscles, lines of action, geometrical data from the skull, and physiological cross-sectional areas acquired from the same individuals. To identify possible motor control strategies, we applied objective functions. The medial pterygoid turned out to be the most heavily loaded muscle for all bite directions. Biting with accentuated horizontal force components provoked the highest loading within the medial and lateral pterygoids. The largest joint forces were also found for these bite directions. Conversely, the lowest joint forces were detected during vertical biting. Additionally, joint forces with a clear posterior orientation were found. Optimization strategies with the elastic energy as objective function revealed the best fit with the calculated results.

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Sun, Ming Nan, Guo Fu Yin, and Liang Mi. "Optimization Method of Machining Center Multi-Joint Stiffness Based on Orthogonal Experiment and FEA." Materials Science Forum 697-698 (September 2011): 253–57. http://dx.doi.org/10.4028/www.scientific.net/msf.697-698.253.

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Machine tool joint stiffness has important affects on the dynamic characteristics of the whole machine tool. It is a challenging task to optimize multi-joint stiffness of the overall structure. By discussing the distribution of stiffness of linear guides, ball screws, bolt joints and bearings, a discrete optimization method of multi-joint stiffness of a machining center was presented based on orthogonal experiment and FEA. Mean frequency formulation was adopted to define the index of orthogonal optimization. According to the principle of orthogonal experiment, optimization levels were found out, sequence of the factors on the index of the orthogonal experiment was listed and significant factors were determined. Results of this research proved the validity and feasibility of the discrete optimization method of multi-joint stiffness of the whole machine tool by combining orthogonal experiment and FEA.

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Glavan, Mitja, Jernej Klemenc, Vili Malnarič, and Domen Šeruga. "Incorporation of a Simplified Mechanical Joint Model into Numerical Analysis." Strojniški vestnik - Journal of Mechanical Engineering 68, no. 1 (January 15, 2022): 3–13. http://dx.doi.org/10.5545/sv-jme.2021.7329.

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In the development of new joining technologies, incorporation of mechanical joints in computer analyses for the evaluation of structures can be carried out by a practical, simplified mechanical joint model. Here, two most frequently used joining technologies were analysed, a self-piercing rivet joint and a clinch joint. Physical tests of static load capacity of the joints were performed and numerical models for simulations were set-up. An optimization method was designed for estimating the material parameters of the mechanical joint for the needs of numerical analyses. For optimization purposes during the plan of experiments, a range of possible parameter values was investigated using a response surface method, results of simulations, results of physical tests and a genetic algorithm. The results of simulations using the optimal values of the material parameters are comparable to the experimental observations for the both joints.

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Zhang, Zhongke, Xuanbai Li, Zaolong Zhao, Changming Jiang, and Huaxia Zhao. "Process Optimization and Formation Analysis of Friction Plug Welding of 6082 Aluminum Alloy." Metals 10, no. 11 (October 30, 2020): 1454. http://dx.doi.org/10.3390/met10111454.

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The response surface analysis method was used to systematically study the effect of various parameters on the tensile strength of 6082 aluminum alloy friction plug welding (FPW) joints in this work. The fluidity of the joint and microstructure were observed with a metallurgical microscope. Combined with the temperature field and force analysis, the reason why the root of the joint appears as a weak zone was explained. The results showed that the degree of influence on the tensile strength of FPW joints was rotational speed > upsetting speed > welding time. The optimal FPW joint was obtained when the rotational speed was 2254 rpm, the upsetting speed was 2 mm/s, and the welding time was 25 s, so the tensile strength could reach 262.34 MPa. The microstructure of the FPW joint appeared heterogeneous. According to the different plastic metal fluidities of the joint, it could be divided into four areas. The interaction force at the friction interface was not strong at the root of the FPW joint, so the root often becomes the weak area of the FPW joint.

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An, Jiping, Xinhong Li, Zhibin Zhang, Wanxin Man, and Guohui Zhang. "Joint Trajectory Planning of Space Modular Reconfigurable Satellites Based on Kinematic Model." International Journal of Aerospace Engineering 2020 (December 30, 2020): 1–17. http://dx.doi.org/10.1155/2020/8872788.

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This paper investigates the application of particle swarm optimization (PSO) algorithm to plan joint trajectories of the space modular reconfigurable satellite (SMRS). SMRS changes its configuration by joint motions to complete various space missions; its movement stability is affected by joints motions because of the dynamic coupling effect in space. To improve the movement stability in reconfiguration progress, this paper establishes the optimization object equation to characterize the movement stability of SMRS in its reconfiguration process. The velocity-level and position-level kinematic models based on the proposed virtual joint coordinate system of SMRS are derived. The virtual joint coordinate system solves the problem of asymmetric joint coordinate system resulted by the asymmetric joint arrangement of SMRS. The six-order and seven-order polynomial curves are chosen to parameterize the joint trajectories and ensure the continuous position, velocity, and acceleration of joint motions. Finally, PSO algorithm is used to optimize the trajectory parameters in two cases. Consistent optimization results in terms of the six-order and seven-order polynomial in both cases prove the PSO algorithm can be effectively used for joint trajectory planning of SMRS.

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Wu, Ying, and Xu Zhou. "Modeling and Optimization Research of a Planar Six Bar Mechanism." Applied Mechanics and Materials 215-216 (November 2012): 921–25. http://dx.doi.org/10.4028/www.scientific.net/amm.215-216.921.

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For being convenient for researching the dynamic characteristic and the improvement and use of the planar six bar mechanism, for improving the dynamic technical performance, the three-dimensional solid model of the mechanism was established with ADAMS. Each part of the model in ADAMS was set up. Simulation analysis on the working process of the mechanism was achieved. The structure optimization parameters of the mechanism were obtained. The result proves that the vertical location of revolute joint of link and rocker, the location of revolute joint of crank and frame, the horizontal locations of two revolute joints of link are almost no impact on the vertical speed of slider. The vertical locations of revolute joint of frame and rocker and revolute joint of block and slider have less impact on the vertical speed and acceleration of slider. The vertical location of revolute joint of link and crank, the horizontal locations of revolute joint of frame and rocker and revolute joint of block and slider have greater impact on the maximum vertical speed and acceleration of slider.

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Das, Subhankar, Rajdeep Majumder, and Sangita Singh. "Cable joint installation time optimization." IEEE Transactions on Dielectrics and Electrical Insulation 24, no. 6 (December 2017): 3959–65. http://dx.doi.org/10.1109/tdei.2017.006776.

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Seo, Y. K., S. Yu, and A. Gafurov. "CV-joint remanufacturing parameter optimization." International Journal of Automotive Technology 15, no. 4 (May 28, 2014): 603–10. http://dx.doi.org/10.1007/s12239-014-0063-1.

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Gao, Yong, Fang Zhang, and Yuanyuan Li. "Robust Optimization of Planar Constrained Mechanical System with Varying Joint Clearance Size Based on Sensitivity Analysis." Shock and Vibration 2020 (January 29, 2020): 1–21. http://dx.doi.org/10.1155/2020/6079249.

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This paper is devoted to a general methodological study on sensitivity analysis and robust optimization for a planar crank-slider mechanism in presence of joint clearances and random parameters and investigate the effects of parameter uncertainty on optimization results when joint clearance sizes are constantly changing due to wear. The first-order sensitivity analysis based on the response surface proxy model is performed. Then, a multiobjective robust optimization algorithm based on sensitivity analysis is carried out to reduce the undesirable effects of joint clearances and random parameters. In the algorithm, a multiobjective robust optimization model derived from the mean and variance of the objective function is constructed. Here, the objective function is defined based on the consideration of reducing the contact force generated at all clearance joints. Additionally, in order to balance computational accuracy and efficiency in the multiobjective robust optimization process, high-precision Kriging agent models are established. The optimum values of design variables are determined by combining Monte Carlo sampling and multiobjective particle swarm optimization method. By combining the Baumgarte approach with Lankarani–Nikravesh contact force model and Coulomb friction model, the dynamic equations of the planar multibody system with clearance joints are established. The uniform probability distribution is applied for characterizing random parameters. Simulation results show that the influence of design variable variations on the objective function changes in relation to the joint clearance size, but their relative influence degree on the objective function will not vary with the size of joint clearances. Moreover, the optimal solution selected on the Pareto front will affect the average levels and peak fluctuations of the dynamic responses in multibody systems.

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Ozer, Halil, and Ozkan Oz. "Joint Stress Optimization by the Hybrid Adhesive Lap Joint." Advanced Materials Research 445 (January 2012): 1000–1004. http://dx.doi.org/10.4028/scientific5/amr.445.1000.

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MAEKAWA, Tomiya, Jyo SHIMURA, Shigeru KUROSAKI, and Mutsumi MIYAGAWA. "1835 Optimization of Joint Configuration for Bonded Lap Joint." Proceedings of Conference of Kanto Branch 2012.18 (2012): 575–76. http://dx.doi.org/10.1299/jsmekanto.2012.18.575.

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Zaman, Rahid, Yujiang Xiang, Jazmin Cruz, and James Yang. "Three-dimensional asymmetric maximum weight lifting prediction considering dynamic joint strength." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 235, no. 4 (January 9, 2021): 437–46. http://dx.doi.org/10.1177/0954411920987035.

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In this study, the three-dimensional (3D) asymmetric maximum weight lifting is predicted using an inverse-dynamics-based optimization method considering dynamic joint torque limits. The dynamic joint torque limits are functions of joint angles and angular velocities, and imposed on the hip, knee, ankle, wrist, elbow, shoulder, and lumbar spine joints. The 3D model has 40 degrees of freedom (DOFs) including 34 physical revolute joints and 6 global joints. A multi-objective optimization (MOO) problem is solved by simultaneously maximizing box weight and minimizing the sum of joint torque squares. A total of 12 male subjects were recruited to conduct maximum weight box lifting using squat-lifting strategy. Finally, the predicted lifting motion, ground reaction forces, and maximum lifting weight are validated with the experimental data. The prediction results agree well with the experimental data and the model’s predictive capability is demonstrated. This is the first study that uses MOO to predict maximum lifting weight and 3D asymmetric lifting motion while considering dynamic joint torque limits. The proposed method has the potential to prevent individuals’ risk of injury for lifting.

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Eschweiler, Jörg, Maximilian Praster, Valentin Quack, Jianzhang Li, Björn Rath, Frank Hildebrand, and Filippo Migliorini. "Comparison of Optimization Strategies for Musculoskeletal Modeling of the Wrist for Therapy Planning in Case of Total Wrist Arthroplasty." Life 12, no. 4 (April 2, 2022): 527. http://dx.doi.org/10.3390/life12040527.

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The human wrist joint is an elegant mechanism. The wrist allows the positioning and orienting of the hand to the forearm. The computational modeling of the human hand, especially of the wrist joint, can reveal important information about biomechanical mechanisms and provide the basis for its dysfunction and pathologies. For instance, this could be used for therapy planning in total wrist arthroplasty (TWA). In this study, different optimization methods and sensitivity analyses of anatomical parameters for musculoskeletal modeling were presented. Optimization includes finding the best available value of an objective function, including a variety of different types of objective functions. In the simplest case, optimization consists of maximizing or minimizing a function by systematically choosing input values from within an allowed set and computing the value of the function. Optimization techniques are used in many facets, such as the model building of joints or joint systems such as the wrist. The purpose of this study is to show the variability and influence of the included information for modeling, investigating the biomechanical function and load situation of the joint in representative scenarios. These possibilities to take them into account by an optimization and seem essential for the application of computational modeling to joint pathologies.

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Damor, Alpeshkumar B., and Vinay J. Patel. "Response Surface Optimization for Compliant Joint of Humanoid Robot Using ANSYS - Design of Experiment." Indian Journal Of Science And Technology 17, no. 22 (June 3, 2024): 2271–82. http://dx.doi.org/10.17485/ijst/v17i22.3169.

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Objective: A Compliant Joint of humanoid robot is a spring-loaded assembly, which is used to interact safely with the environment, and it helps to stabilized sudden shock and vibration in the robotic system. At the moment, compliant joints are required to optimize their size and dimensions which result into optimized weight and factor of safety of humanoid robot. Methods: Analysis is carried out using Response Surface Methodology (RSM) and Multi-Objective Genetic Algorithm (MOGA) using ANSYS. The current study employed goal-driven optimisation using ANSYS Workbench to minimise weight and achieve the required factor of safety range for the compliant joint. To find out range of variables such as rim thickness, shaft diameter, base thickness, module thickness and spoke thickness affecting on responses such as factor of safety and geometrical mass of compliant joint single factor single response parametric analysis is carried out. Findings: Based on trend of preliminary analysis variable range and combinations are selected to study interaction effect of parameters to obtain favorable factor of safety and low geometrical mass. The optimized compliant joint is compared with various design and validated through the developed actual module. Novelty: Eventually, the geometry mass of the compliant joint was reduced from 0.8604 kg to 0.6449 kg, resulting in a lighter weight (24.06% reduction) with a 1.7533 factor of safety and more compact in size (outer diameter is shrink from 142 to 126 mm). Keywords: Compliant joint, Goal driven optimization, Response surface optimization, Design of experiment, Humanoid robot

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Sarantinos, Nikolaos, Vassilis Kostopoulos, Gandolfo Di Vita, and Gianni Campoli. "Shape optimization of single-pin reinforcement in metal-composite joints." International Journal of Structural Integrity 11, no. 3 (November 1, 2019): 381–94. http://dx.doi.org/10.1108/ijsi-07-2019-0074.

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Purpose Utilizing through-the-thickness pin reinforcement in metal-to-composite joints can significantly increase the joint mechanical properties, enabling the introduction to a whole new field of applications in joining technology. However, with the rise of advanced pin manufacturing techniques – such as additive layer manufacturing, little research has been performed on the pin shape optimization and its behavior. The paper aims to discuss this issue. Design/methodology/approach In this study, a numerical shape optimization algorithm is used to produce optimized pin shapes for several initial pin dimension parameters, having as objective to achieve a more uniform stress distribution along the surface of the pin, enhancing the pin strength and joint integrity. Findings Results showed that pin shape is a crucial factor in the mechanical response of the pin. In Mode I, the presence of an undercut feature on the pin head can increase the ultimate load of the pin by +250 percent, while in Mode II, the base diameter is the dominant feature in the joint ultimate strength. Originality/value With these results, the paper aims to utilize commercial available numerical software to explore optimization capabilities in joints strength. These optimization capabilities show that it could be used for the enhancement of metal-to-composite joints response.

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Padmanaban, R., V. Muthukumaran, and A. Vighnesh. "Parameter Optimization for Friction Stir Welding AA1100." Applied Mechanics and Materials 813-814 (November 2015): 462–66. http://dx.doi.org/10.4028/www.scientific.net/amm.813-814.462.

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Friction stir welding (FSW) has become a potential solid state joining technique with considerable advantages over conventional joining process. Defect-free friction stir welded joints with high joint strength are obtained when optimum process parameters are used. Although a large number of parameters govern the FSW process, the tool rotation speed, Welding speed and tool geometry are key parameters that influence the joint strength. In this work, a statistical model relating process parameters and the tensile strength (TS) of friction stir welded AA1100 joints is build using response surface methodology. The four independent variables are tool rotational speed (TRS), welding speed (WS), shoulder diameter (SD) and pin diameter (PD). Central Composite design is used and Analysis of Variance at 95% confidence level was applied to assess the adequacy of the developed model. Genetic algorithm is used for optimizing the parameters. The optimum process parameter values predicted using the genetic algorithm are as follows. Tool rotation speed: 1001.9 rpm; welding speed: 62 mm/min; shoulder diameter: 17.8 mm and pin diameter: 6.5 mm. The corresponding tensile strength of the joints is 73.1556 MPa

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Yuan, Yuan, Zukui Li, and Biao Huang. "Robust optimization approximation for joint chance constrained optimization problem." Journal of Global Optimization 67, no. 4 (May 21, 2016): 805–27. http://dx.doi.org/10.1007/s10898-016-0438-0.

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Mousavian, Elham, and Claudia Casapulla. "Joint Layout Design: Finding the Strongest Connections within Segmental Masonry Arched Forms." Infrastructures 7, no. 1 (January 9, 2022): 9. http://dx.doi.org/10.3390/infrastructures7010009.

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Segmental arched forms composed of discrete units are among the most common construction systems, ranging from historic masonry vaults to contemporary precast concrete shells. Simple fabrication, transport, and assembly have particularly made these structural systems convenient choices to construct infrastructures such as bridges in challenging environmental conditions. The most important drawback of segmental vaults is basically the poor mechanical behaviour at the joints connecting their constituent segments. The influence of the joint shape and location on structural performances has been widely explored in the literature, including studies on different stereotomy, bond patterns, and interlocking joint shapes. To date, however, a few methods have been developed to design optimal joint layouts, but they are limited to extremely limited geometric parameters and material properties. To remedy this, this paper presents a novel method to design the strongest joint layout in 2D arched structures while allowing joints to take on a range of diverse shapes. To do so, a masonry arched form is represented as a layout of potential joints, and the optimization problems developed based on the two plastic methods of classic limit analysis and discontinuity layout optimization find the joint layout that corresponds to the maximum load-bearing capacity.

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Zhang, Taihui, Honglei An, and Hongxu Ma. "Joint torque and velocity optimization for a redundant leg of quadruped robot." International Journal of Advanced Robotic Systems 14, no. 5 (September 1, 2017): 172988141773189. http://dx.doi.org/10.1177/1729881417731897.

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Hydraulic actuated quadruped robot similar to BigDog has two primary performance requirements, load capacity and walking speed, so that it is necessary to balance joint torque and joint velocity when designing the dimension of single leg and controlling its motion. On the one hand, because there are three joints per leg on sagittal plane, it is necessary to firstly optimize the distribution of torque and angular velocity of every joint on the basis of their different requirements. On the other hand, because the performance of hydraulic actuator is limited, it is significant to keep the joint torque and angular velocity in actuator physical limitations. Therefore, it is essential to balance the joint torque and angular velocity which have negative correlation under the condition of constant power of the hydraulic actuator. The main purpose of this article is to optimize the distribution of joint torques and velocity of a redundant single leg with joint physical limitations. Firstly, a modified optimization criterion combining joint torques with angular velocity that takes both support phase and flight phase into account is proposed, and then the modified optimization criterion is converted into a normal quadratic programming problem. A kind of recurrent neural network is used to solve the quadratic program problem. This method avoids tremendous matrix inversion and fits for time-varying system. The achieved optimized distribution of joint torques and velocity is useful for aiding mechanical design and the following motion control. Simulation results presented in this article confirm the efficiency of this optimization algorithm.

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Chen, Man‐Tai, Wenkang Zuo, Yuner Huang, Bin Cheng, and Jincheng Zhao. "Novel Paradigm for Steel Joints in Gridshell Structures: from Structural Optimization to Advanced Construction." ce/papers 6, no. 3-4 (September 2023): 781–87. http://dx.doi.org/10.1002/cepa.2714.

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AbstractNovel integrated computer‐aided paradigm/workflow for the topology optimization (TO) and additive manufacturing (AM) of steel joints in gridshell structures is proposed. The architecture scheme of gridshell structure was first established and numerically analyzed through Grasshopper parametric platform. Based on the extracted joint geometric parameters and the corresponding loading conditions, the initial joint structures were parametrically modelled using the subdivision surface method. Further parametric TO design was accomplished by the bi‐directional evolutionary structural optimization (BESO) method on the basis of cloud computing server. A series of mesh smoothing and reverse modelling algorithms were applied to the optimized joint to obtain a closed smooth surface in the NURBS form, which was then output as STL file for additive manufacturing. One typical optimized joint was additively manufactured using selective laser melting. The proposed workflow can be extended to a much wider range of spatial structures with various joint types.

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Zhang, Weixi, Wouter De Corte, Xian Liu, and Luc Taerwe. "Optimization Study on Longitudinal Joints in Quasi-Rectangular Shield Tunnels." Applied Sciences 11, no. 2 (January 8, 2021): 573. http://dx.doi.org/10.3390/app11020573.

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There are large bending moments in quasi-rectangular shield tunnels due to their deviation from the circular shape, and as for other types of shield tunnels, the longitudinal joints are the most critical parts in the lining structure. A new type of joint with ductile iron joint panels (DIJPs) was installed in quasi-rectangular tunnels to solve these problems. The distance from the bolts to the segment’s inner surface was improved for better performance under specific bending moment types. Both tests and finite element modeling (FEM) simulations were conducted to investigate the effect of the bolt position improvements. The resistances to crack appearance increased by 33.6% and 18.0% for positive and negative moment cases, respectively. The resistances to crack penetration increased by 13.8% and 18.4% for positive and negative cases. From the FEM approach, it was found that the behavior of the joint under the design bending moment range can be divided into three stages, whereby the bolts are only active from the second stage on. The effects of other optimizing methods, such as enhancement of concrete properties and increase of bolt diameters and numbers, are explored. Through comparison, it is believed that optimizing the joint section to increase the lever arm between bolts and the compression zone can improve the joint behavior most effectively. This optimization direction is recommended when designing a shield tunnel joint with DIJPs.

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Zhang, Weixi, Wouter De Corte, Xian Liu, and Luc Taerwe. "Optimization Study on Longitudinal Joints in Quasi-Rectangular Shield Tunnels." Applied Sciences 11, no. 2 (January 8, 2021): 573. http://dx.doi.org/10.3390/app11020573.

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There are large bending moments in quasi-rectangular shield tunnels due to their deviation from the circular shape, and as for other types of shield tunnels, the longitudinal joints are the most critical parts in the lining structure. A new type of joint with ductile iron joint panels (DIJPs) was installed in quasi-rectangular tunnels to solve these problems. The distance from the bolts to the segment’s inner surface was improved for better performance under specific bending moment types. Both tests and finite element modeling (FEM) simulations were conducted to investigate the effect of the bolt position improvements. The resistances to crack appearance increased by 33.6% and 18.0% for positive and negative moment cases, respectively. The resistances to crack penetration increased by 13.8% and 18.4% for positive and negative cases. From the FEM approach, it was found that the behavior of the joint under the design bending moment range can be divided into three stages, whereby the bolts are only active from the second stage on. The effects of other optimizing methods, such as enhancement of concrete properties and increase of bolt diameters and numbers, are explored. Through comparison, it is believed that optimizing the joint section to increase the lever arm between bolts and the compression zone can improve the joint behavior most effectively. This optimization direction is recommended when designing a shield tunnel joint with DIJPs.

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Hwang, Duckdong, Janghoon Yang, Sung-Sik Nam, and Hyoung-Kyu Song. "Full Duplex Relaying with Intelligent Reflecting Surface: Joint Beamforming and Phase Adjustment." Mathematics 10, no. 17 (August 26, 2022): 3075. http://dx.doi.org/10.3390/math10173075.

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In this paper, an optimization algorithm is proposed for the system, where a decode-and-forward (DaF) protocol based full duplex relay (FDR) and an intelligent reflecting surface (IRS) work together to deliver message signals from a source to a destination. The transmission is carried out in a single time frame due to the full duplex nature of the FDR and IRS. The joint optimization of the beamformers for the multiple antenna sets at the source along with the FDR antenna sets and the phase adjustment of the reflecting elements at the IRS is proposed. Though separate optimizations of the beamformers and the phase adjustment were available previously, the joint one is more challenging due to the increased number of signal paths and the impacts from these new paths. To accommodate conflicting requirements from different paths, the reflecting elements of the IRS are cleverly grouped into the corresponding number of sets, where the requirements are met separately through the optimizations of the phase values of the corresponding group. For the beamformer optimization, we parameterize the beamforming vectors, which results in two concave optimization problems for the source and for the FDR relay. These optimization sets are implemented in an alternating manner to reach a reasonable solution. Simulation results are provided to illustrate the impacts of the proposed algorithm in various implementation scenarios and parameter sets. These results identify the gains the proposed algorithm provides and the scenarios where these gains are expected.

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Szabó, Ferenc János. "Optimization of key joints." Multidiszciplináris Tudományok 13, no. 2 (December 15, 2023): 153–62. http://dx.doi.org/10.35925/j.multi.2023.2.14.

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Key-joints are used in many drives and rotating elements in engineering practice. Nowadays decreasing the dead-weight of the structures is more and more important (in vehicle industry, aircrafts, etc.). This paper shows an optimization process for minimum weight design of key-joints. For the solution of the optimization problem a 3D grapho-analytical optimization process is used, based on the Kuhn–Tucker optimality criterium. During the graphic part of the process, three dimensional diagrams show the behaviour of the objective function and of the design constraints, which makes easy to read the optimum solution from the diagram. The final optimum solution is given in a table numerically too. For better demonstration, the finite element analysis of the three dimensional CAD model of the optimal joint is shown.

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Wu, Jianguo, Jingyu Zhai, Yangyang Yan, Hongwei Lin, Siquan Chen, and Jianping Luo. "Simulation and Optimization of Connection-Strength Performance of Axial Extrusion Joint." Materials 15, no. 7 (March 25, 2022): 2433. http://dx.doi.org/10.3390/ma15072433.

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Axial extrusion-connection technology is one of the important connection technologies for hydraulic piping systems, with high sealing performance and mechanical strength. In this paper, the finite-element-modeling method is used to simulate the experimental process of the connection strength of the axial extrusion joint. The generation mechanism and calculation method of the connection strength are analyzed. To optimize the joint strength, orthogonal testing and grey correlation analysis are used to analyze the influencing factors of joint strength. The key factors affecting joint strength are obtained as the friction coefficient μ1, μ2 between joint components and the groove angle θ1 of the fittings body. The back-propagation (BP) neural-network algorithm is used to establish the connection-strength model of the joint and the genetic algorithm is used to optimize it. The optimal connection strength is 8.237 kN and the optimal combination of influencing factors is 0.2, 0.4 and 76.8°. Compared with the prediction results of the neural-network genetic algorithm, the relative error of the finite-element results is 3.9%, indicating that the method has high accuracy. The results show that the extrusion-based joining process offers significant advantages in the manufacture of high-strength titanium tubular joints.

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Yu, Boyan, and Yisai Gao. "Multi-Physics Fields Simulations and Optimization of Solder Joints in Advanced Electronic Packaging." Chips 1, no. 3 (November 17, 2022): 191–209. http://dx.doi.org/10.3390/chips1030013.

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The endurability of solder joints in the ball-grid array (BGA) packaging is crucial to the functioning of the microelectronic system. To improve electronic packaging reliability, this paper is dedicated to numerically optimize solder joint array configuration and study the influence of multi-physical fields on solder joint reliability. The uniqueness of this study is that on the basis of temperature field and stress field, the electric field is added to realize the coupling simulation of three physical fields. In addition, the “Open Angle” is mathematically defined to describe the array configuration, and it was used to reveal the influence factors of solder joint fatigue, including stress, temperature, and current density. In the single solder joint model, the impacts of geometric shape and working conditions on the maximum value and distribution of these evaluation factors (stress, temperature, and current density) were investigated. Overall, the numerical investigation gives the optimal configuration, geometric shape, and working condition of solder joints, which benefits the design of endurable and efficient BGA packaging.

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Aksu, H. A., and M. Salehi. "Joint optimization of TCQ-TCM systems." IEEE Transactions on Communications 44, no. 5 (May 1996): 529–33. http://dx.doi.org/10.1109/26.494293.

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Chunlin, Li, and Li Layuan. "Joint contexts optimization for mobile grid." Computers & Electrical Engineering 36, no. 6 (November 2010): 1123–39. http://dx.doi.org/10.1016/j.compeleceng.2010.05.001.

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Sze, Vivienne, and Anantha P. Chandrakasan. "Joint Algorithm-Architecture Optimization of CABAC." Journal of Signal Processing Systems 69, no. 3 (May 26, 2012): 239–52. http://dx.doi.org/10.1007/s11265-012-0678-2.

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Erdbrügge, Martina, Sonja Kuhnt, and Nikolaus Rudak. "Joint optimization of independent multiple responses." Quality and Reliability Engineering International 27, no. 5 (June 22, 2011): 689–703. http://dx.doi.org/10.1002/qre.1229.

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Darwish, S. M., and A. M. Al-Samhan. "Optimization of Artificial Hip Joint Parameters." Materialwissenschaft und Werkstofftechnik 40, no. 3 (March 2009): 218–23. http://dx.doi.org/10.1002/mawe.200900430.

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Dobrotă, Dan, and Valentin Petrescu. "The optimization of welding regimes for obtaining corrosion resistant welded constructions." MATEC Web of Conferences 290 (2019): 01003. http://dx.doi.org/10.1051/matecconf/201929001003.

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Most of the technological equipment has welded metal structures in its composition, which are strongly affected by the corrosion phenomenon. In order to achieve a reduction of the corrosion phenomenon it is very important that the welded joints are made using optimal parameters of the welding regime. In the research were made 6 different welded specimens, respectively 3 for the welded T-shaped joint and 3 for the cross-welded joint. The welded joints were made of 10 mm thick using S 355JR steel by the MAG welding process and using welding wire G4 Si 1 as an additive. For the 6 specimens were made analyzes of the metallographic structure thus observing what are parameters of the welding regime that allows to obtain the welded joints with high corrosion resistance.

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Cui, Bing Yan, and Zhen Lin Jin. "Analysis of Structural Parameter and Design of Elbow Joint Rehabilitation Parallel Robot." Advanced Materials Research 749 (August 2013): 322–27. http://dx.doi.org/10.4028/www.scientific.net/amr.749.322.

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Elbow joint is one of the body's important joints, most of the activities of the human body are inseparable from the elbow joint, and including taking and holding movements.In order to increase the workspace of elbow joint, a novel elbow joint rehabilitation parallel robot based on 2-DOF orthogonal spherical parallel mechanism is proposed. First, the position inverse solution equation of elbow joint is established. Further, the workspace of elbow joint is analyzed. The optimal structural parameters are obtained by use of the objective function of optimization method. Finally, the virtual prototype of elbow joint rehabilitation parallel robot is designed using optimal structural dimensions parameters.

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Journal articles on the topic 'Joint optimization'

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