Journal articles: 'Mechanical Properties Optimization'

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Dzhonov, Ts, I. Angelov, and S. Stoyanov. "Optimization of mechanical properties for steel 23G2SAF." Strength of Materials 19, no. 5 (1987): 657–61. http://dx.doi.org/10.1007/bf01524300.

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Mo, Yu Zhen, and Jia Chu Xu. "Studies on Mechanical Properties and Optimization Model of PI/SiO₂ Nanocomposite Based on Materials Studio." Advanced Materials Research 1049-1050 (October 2014): 54–57. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.54.

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The unit cell models of PI/SiO2 nanocomposite was built by Materials Studio. The stiffness matrix and mechanical properties parameters such as Young modulus, shear modulus, bulk modulus and Poisson ratio of the unit cells were achieved after molecular dynamic (MD) optimizations and calculations. The influence factors on the mechanical properties of nanocomposite were analyzed. Finally, the optimization model was achieved.

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Venu, Borigorla, L. Suvarna Raju, and K. Venkata Rao. "Multiobjective optimization of friction stir weldments of AA2014-T651 by teaching–learning-based optimization." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, no. 6 (2019): 1146–55. http://dx.doi.org/10.1177/0954406219891755.

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This study focuses on optimization of process parameters, which may result in improved mechanical properties of the friction stir weldments of AA2014-T651. Plain taper and threaded taper cylindrical tool pin profiles were used for the study. A set of experiments was conducted at different levels of tool rotational and weld speeds using two tool pin profiles. Mechanical properties such as tensile strength, yield strength, impact strength, percentage of elongation, and hardness were measured. Objective functions are developed for the five mechanical properties in terms of input parameters. The input parameters were optimized using teaching–learning-based optimization algorithm technique to improve mechanical properties. The teaching–learning-based optimization algorithm suggested three best combinations such as combination-I (940 r/min and 32 mm/min), combination-II (1100 r/min and 40 mm/min), and combination-III (1205 r/min and 45 mm/min). The optimization is also validated with experimental results.

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Kuś, Wacław, Mohammed Javeed Akhter, and Tadeusz Burczyński. "Optimization of Monolayer MoS2 with Prescribed Mechanical Properties." Materials 15, no. 8 (2022): 2812. http://dx.doi.org/10.3390/ma15082812.

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Various technological challenges are essentially material problems in our times. New functional and functional graded nanomaterials are constructed of components with predefined properties. The design of nanostructures with predefined mechanical properties was considered in this paper. This study applies the evolutionary algorithm (EA) to the optimization problem in the design of nanomaterials. The optimal design combined EA with molecular dynamics to identify the size of the void for the prescribed elastic properties in monolayer 2D MoS2 nanostructures. The numerical results show that the proposed EA and the use of optimization method allowed accurately obtaining nanostructures with predefined mechanical material properties by introducing elliptical voids in the 2D MoS2 nanosheets.

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Jawahar, P., V. Payak, J. Chandradass, and P. Prabhu. "Optimization of mechanical properties of CNT-rubber nanocomposites." Materials Today: Proceedings 45 (2021): 7183–89. http://dx.doi.org/10.1016/j.matpr.2021.02.413.

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Yu, Lei, and Zhaolei Liu. "Mechanical Properties Optimization of Fiber Reinforced Foam Concrete." MATEC Web of Conferences 67 (2016): 03022. http://dx.doi.org/10.1051/matecconf/20166703022.

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Zhang, Hengliang, Danmei Xie, Chu Nie, and Zongjie Zhang. "Optimization of Quench History for Superior Mechanical Properties." Procedia Engineering 16 (2011): 506–10. http://dx.doi.org/10.1016/j.proeng.2011.08.1117.

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Anil Singh, Dr. Rupinder Singh Johal, and Sulekha. "Optimization of Mechanical Properties of Aluminium Hybrid Metal Matrix Composite and Its Major Applications." International Journal of Scientific Research in Science, Engineering and Technology 11, no. 3 (2024): 444–50. https://doi.org/10.32628/ijsrset241474.

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This article describes how to optimize the mechanical properties of aluminium hybrid metal matrix composite (Al-HMMC) in order to reduce weight and cost while increasing the material's strength, stiffness, toughness, and durability. “Some optimization techniques and applications are presented in this article; Matrix alloy optimization, processing parameter optimization, and surface treatment optimization are examples of hybrid reinforcement optimization that display different elements that influence the optimizations and their methods. The influence of different factors and the need for large experimental data sets are also covered in this article, with reference to earlier research. The major applications of Al-HMMC, including the automotive, sports, marine, and aerospace industries, as well as industrial automation for components and its future directions, are also covered in this article. This essay came to the conclusion that the most crucial aspect of engineering for resolving complicated problems is feature modeling, estimate, and optimization. When designing and optimizing the process variables to be employed throughout the manufacturing phase, significant benefits of the calculating methodologies are identified. Optimal parameter selection, system placement, result analysis, production digitization, power consumption reduction, and real-world issue resolution are all made possible by these techniques.” Therefore, additional study is required in the future to optimize the structure and composition of hybrid reinforcement in order to attain better mechanical characteristics.

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Lawal, S. L., and S. A. Afolalu. "Effect of Welding Process Parameters on the Mechanical Properties of TIG and MIG Welds in HSS X65 Pipe-A Review." IOP Conference Series: Earth and Environmental Science 1322, no. 1 (2024): 012009. http://dx.doi.org/10.1088/1755-1315/1322/1/012009.

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Abstract The study focused on the importance of the different welding parameters on the mechanical behavior of High Strength Steel (HSS) X65 steel pipes by reviewing the advantages of parameter optimization for the Tungsten Inert Gas (TIG) - Metal Inert Gas (MIG) welding processes. The parameters considered in the study include welding speed, welding current, welding voltage and gas flowrate of the welding. The effects of improper selection and parameter optimizations were highlighted and illustrated using different metallurgical and mechanical instances. The outcome of the study indicates that adequate parameter optimization aids in obtaining good weld quality with adequate mechanical and microstructural properties. Furthermore, it helps in the determination of variation in hardness in the heat affected zone as well as the base metal. Thus, this study provides insight to welding engineers on the importance of parameter optimization in the welding of steel pipe.

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Kumar, Ravinder, and Dr Dinesh Kumar. "Optimization of Process Parameters on Tig Welding to Enhance Mechanical Properties of AA-6351 T6 Alloy." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (2019): 505–9. http://dx.doi.org/10.31142/ijtsrd23831.

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Li, Zihao, Shiqiang Li, and Zhihua Wang. "Multiscale Concurrent Topology Optimization and Mechanical Property Analysis of Sandwich Structures." Materials 17, no. 24 (2024): 6086. https://doi.org/10.3390/ma17246086.

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Based on the basic theoretical framework of the Bi-directional Evolutionary Structural Optimization method (BESO) and the Solid Isotropic Material with Penalization method (SIMP), this paper presents a multiscale topology optimization method for concurrently optimizing the sandwich structure at the macro level and the core layer at the micro level. The types of optimizations are divided into macro and micro concurrent topology optimization (MM), macro and micro gradient concurrent topology optimization (MMG), and macro and micro layered gradient concurrent topology optimization (MMLG). In order to compare the multiscale optimization method with the traditional macroscopic optimization method, the sandwich simply supported beam is illustrated as a numerical example to demonstrate the functionalities and superiorities of the proposed method. Moreover, several samples are printed through micro-nano 3D printing technology, and then the static three-point bending experiments and the numerical simulations are carried out. The mechanical properties of the optimized structures in terms of deformation modes, load-bearing capacity, and energy absorption characteristics are compared and analyzed in detail. Finally, the multiscale optimization methods are extended to the design of 2D sandwich cantilever beams and 3D sandwich fully clamped beams.

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Liu, Fengcheng, Tao Xu, Yung William Sasy Chan, and Konstantinos Daniel Tsavdaridis. "Grid Optimization of Free-Form Spatial Structures Considering the Mechanical Properties." Buildings 14, no. 10 (2024): 3191. http://dx.doi.org/10.3390/buildings14103191.

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In recent years, the application of free-form surface spatial grid structures in large public buildings has become increasingly common. The layouts of grids are important factors that affect both the mechanical performance and aesthetic appeal of such structures. To achieve a triangular grid with good mechanical performance and uniformity on free-form surfaces, this study proposes a new method called the “strain energy gradient optimization method”. The grid topology is optimized to maximize the overall stiffness, by analyzing the sensitivity of nodal coordinates to the overall strain energy. The results indicate that the overall strain energy of the optimized grid has decreased, indicating an improvement in the structural stiffness. Specifically, compared to the initial grid, the optimized grid has a 30% decrease in strain energy and a 43.3% decrease in maximum nodal displacement. To optimize the smoothness of the grid, the study further applies the Laplacian grid smoothing method. Compared to the mechanically adjusted grid, the structural mechanical performance does not significantly change after smoothing, while the geometric indicators are noticeably improved, with smoother lines and regular shapes. On the other hand, compared to the initial grid, the smoothed grid has a 21.4% decrease in strain energy and a 28.3% decrease in maximum nodal displacement.

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Szafranska, Halina, and Ryszard Korycki. "Multicriteria Optimization of the Mechanical Properties in Laminated Seams." Materials 14, no. 11 (2021): 2989. http://dx.doi.org/10.3390/ma14112989.

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In order to ensure a comprehensive evaluation of laminated seams in working clothing, a series of research was carried out to determine the correlation between the parameters of the seam lamination process (i.e., the temperature, the time, the pressure) and the mechanical properties of laminated seams. The mechanical properties were defined by means of the maximum breaking force, the relative elongation at break and the total bending rigidity. The mechanical indexes were accepted as the measure of durability and stability of laminated seams. The correlation between the lamination process parameters and the final properties of the tested seams in working clothing was proposed using a three-factor plan 33. Finally, the single-criteria optimization was introduced and the objective functional is the generalized utility function U. Instead of three independent optimization problems, the single problem was applied, and the global objective function was a weighted average of partial criteria with the assumed weight values. The problem of multicriteria weighted optimization was solved using the determined weights and the ranges of acceptable/unacceptable values.

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Džugan, Jan, Martina Maresova, and Pavel Podany. "Dynamic Mechanical Properties of Sugarcane." Advanced Materials Research 811 (September 2013): 314–18. http://dx.doi.org/10.4028/www.scientific.net/amr.811.314.

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New design of a sugarcane shredder is being performed within a research project. This kind of equipment used to be traditionally designed on the basis experiences up to recent time. With increasing demand for the material economic utilization and reliable service, new material optimized design of shredders is required. In order to be able to perform qualified design and material optimization, service conditions has to be known. The paper is dealing with determination of sugarcane mechanical properties under dynamic loading, as the shredding process is performed at high velocities in the range of several meters per second. The mechanical properties of the sugarcane are going to be subsequently used for calculation of in operation loading on shredder components in the further steps.

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Chen, Si, Zhaohui Wang, and Mi Lv. "Mechanical properties optimization of the steering column based on multi-objective optimization design." Advances in Mechanical Engineering 8, no. 12 (2016): 168781401668294. http://dx.doi.org/10.1177/1687814016682941.

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The mechanical properties of the steering column have a significant influence on the comfort and stability of a vehicle. In order for the mechanical properties to be improved, the rotary swaging process of the steering column is studied in this article. The process parameters, including axial feed rate, hammerhead speed, and hammerhead radial reduction, are systematically analyzed and optimized based on a multi-objective optimization design. The response surface methodology and the genetic algorithm are employed for optimal process parameters to be obtained. The maximum damage value, the maximum forming load, and the equivalent strain difference obtained with the optimal process parameters are, respectively, decreased by 30.09%, 7.44%, and 57.29% compared to the initial results. The comparative results present that the quality of the steering column is improved. The torque experiments and fatigue experiments are conducted with the optimal steering column. The maximum torque is measured to be 260 NM, and the service life is measured to be 2 weeks (40 NM, 2500 times), which are, respectively, increased by 8.3% and 8.69% compared to the initial results. The above results display that the mechanical properties of the steering column are optimized to verify the feasibility of the multi-objective optimization method.

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Islam, Mohammad Mirazul, Dina B. AbuSamra, Alexandru Chivu, et al. "Optimization of Collagen Chemical Crosslinking to Restore Biocompatibility of Tissue-Engineered Scaffolds." Pharmaceutics 13, no. 6 (2021): 832. http://dx.doi.org/10.3390/pharmaceutics13060832.

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Collagen scaffolds, one of the most used biomaterials in corneal tissue engineering, are frequently crosslinked to improve mechanical properties, enzyme tolerance, and thermal stability. Crosslinkers such as 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride (EDC) are compatible with tissues but provide low crosslinking density and reduced mechanical properties. Conversely, crosslinkers such as glutaraldehyde (GTA) can generate mechanically more robust scaffolds; however, they can also induce greater toxicity. Herein, we evaluated the effectivity of double-crosslinking with both EDC and GTA together with the capability of sodium metabisulfite (SM) and sodium borohydride (SB) to neutralize the toxicity and restore biocompatibility after crosslinking. The EDC-crosslinked collagen scaffolds were treated with different concentrations of GTA. To neutralize the free unreacted aldehyde groups, scaffolds were treated with SM or SB. The chemistry involved in these reactions together with the mechanical and functional properties of the collagen scaffolds was evaluated. The viability of the cells grown on the scaffolds was studied using different corneal cell types. The effect of each type of scaffold treatment on human monocyte differentiation was evaluated. One-way ANOVA was used for statistical analysis. The addition of GTA as a double-crosslinking agent significantly improved the mechanical properties and enzymatic stability of the EDC crosslinked collagen scaffold. GTA decreased cell biocompatibility but this effect was reversed by treatment with SB or SM. These agents did not affect the mechanical properties, enzymatic stability, or transparency of the double-crosslinked scaffold. Contact of monocytes with the different scaffolds did not trigger their differentiation into activated macrophages. Our results demonstrate that GTA improves the mechanical properties of EDC crosslinked scaffolds in a dose-dependent manner, and that subsequent treatment with SB or SM partially restores biocompatibility. This novel manufacturing approach would facilitate the translation of collagen-based artificial corneas to the clinical setting.

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Li, Lin, Yi Gao, Yan Lin He, Wei Shi, Mei Zhang, and Xiao Gang Lu. "Optimization of Mechanical Properties of High Strength TRIP Steels." Materials Science Forum 783-786 (May 2014): 854–58. http://dx.doi.org/10.4028/www.scientific.net/msf.783-786.854.

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Traditional TRIP steels have been developed for several decades, however, when thestrength reaches 1000MPa, the elongation rate is difficult to be raised over 20%. In the light ofthermodynamics, phase diagram of TRIP steel containing rather high amount of Al is optimized andthe attractive function of Al, which largely increases carbon solubility in austenite is found. As highercarbon content leads to higher stability of austenite and better TRIP effect of TRIP steel, newcomposition of high strength TRIP steel with high amount Al is designed as well as heat treatmentprocesses. The newly developed TRIP steel exhibits superior mechanical properties and the productof its strength and plasticity is higher than 30000 MPa%, i.e., the target of the mechanical propertiesof 3th generation automotive steel.

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Iliasu, G. B., A. A. Kogo, and M. K. Yakubu. "Optimization of mechanical properties of chitosan/phenol formaldehyde composite." Bayero Journal of Pure and Applied Sciences 11, no. 1 (2018): 229–35. http://dx.doi.org/10.4314/bajopas.v11i1.39.

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The Frechet distribution which has a scale and shape parameters, has been found to have wide application in modelling extreme events such as radioactive emission, flood, rainfall, seismic analysis, wind speed, etc. In this research paper, the Bayesian analysis of scale parameter of Frechet distribution was considered. It is necessary to know the best combination of prior distribution and loss function for the parameter estimation. Posterior distribution was derived by uniform and Jeffrey’s prior under the square error, Precautionary, Quadratic and Weighted balance loss function. Bayes estimation and their corresponding risk was obtained by the above stated priors and loss function. Monte Carlo simulations was conducted to compare the performance of the estimators. It is evident that weighted balance loss function when used with uniform prior provides the least posterior risk.Keywords: Frechet Distribution, Non-Informative Prior, Bayesian Estimation, Loss Functions, Monte Carlo Simulations

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Saravanan, S., and Pandian Pitchipoo. "Optimization of GMAW Parameters to Improve the Mechanical Properties." Applied Mechanics and Materials 813-814 (November 2015): 456–61. http://dx.doi.org/10.4028/www.scientific.net/amm.813-814.456.

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In this paper, multi objective optimization of Gas Metal Arc Welding GMAW) parameters are carried out to yield good mechanical strength in welded joints. Most of the failures are occurred on the welded elements due to the setting of improper welding parameters. The strength of welded joints in GMAW depends on several input process parameters such as welding current, welding voltage, gas flow rate, torch angle, welding speed, wire size and electrode feed rate. Wrong selection of these process parameters will lead to bad quality welds. So there is a need to control the process parameters to obtain good quality welded joints. For getting the better values of these parameters, it needs to conduct experiments by varying the input process parameters that are affecting the strength of the welded joints. In this work nine experimental runs based on an L9 orthogonal array of Taguchi method are performed to optimize the strength of the welded joint. To achieve this Grey Relational Analysis (GRA) is used. In this work Aluminum6063 material is used as base material.

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Peng, Yi-Sen, Bai-You Cheng, and Tung-Chi Liu. "Mechanical Properties and Optimization Strategies of Tree Fork Structures." Plants 14, no. 2 (2025): 167. https://doi.org/10.3390/plants14020167.

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Trees are complex and dynamic living structures, where structural stability is essential for survival and for public safety in urban environments. Tree forks, as structural junctions, are key to tree integrity but are prone to failure under stress. The specific mechanical contributions of their internal conical structures remain largely unexplored. This study explores how conical structures optimize stress distribution, filling key gaps in the understanding of tree fork mechanics and supporting safety assessments. This study focused on the following factors: (1) external shape, (2) internal conical reinforcement, (3) interface of the conical connection, and (4) material changes within the conical structure. By analyzing physical samples to extract structural and morphological features, simulating these features in controlled variable models, and performing finite element analysis, we explored mechanical behavior, stress distribution, and performance characteristics, revealing the factors and mechanisms that strengthen tree forks. Insights from this study may facilitate safety assessments and inform pruning strategies for urban tree management.

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Asadi, A., S. A. Sadough Vanini, and A. Farrokhi. "Optimization of mechanical properties of Al2O3–SiC nanocomposite body." Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications 225, no. 4 (2011): 266–76. http://dx.doi.org/10.1177/1464420711418429.

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Shen, Xiang, and Zhonghua Ni. "Multi-Objective Design Optimization of Coronary Stent Mechanical Properties." Advanced Science Letters 4, no. 3 (2011): 835–38. http://dx.doi.org/10.1166/asl.2011.1307.

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Ghasemi, Ali, Reza Amiri Chayjan, and Hossein Jahanian Najafabadi. "Optimization of granular waste production based on mechanical properties." Waste Management 75 (May 2018): 82–93. http://dx.doi.org/10.1016/j.wasman.2018.02.019.

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Cruz-Chávez, Marco Antonio, Sergio A. Serna-Barquera, Jazmín Juárez-Chávez, R. J. Romero, Martín H. Cruz-Rosales, and Bernardo Campillo-Illanes. "Optimization-heuristic of mechanical properties of acicular ferrite steel." Materials Science and Engineering: A 721 (April 2018): 65–73. http://dx.doi.org/10.1016/j.msea.2018.02.076.

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Roshani, M., A. Sabour Rouhaghdam, M. Aliofkhazraei, and A. Heydari Astaraee. "Optimization of mechanical properties for pulsed anodizing of aluminum." Surface and Coatings Technology 310 (January 2017): 17–24. http://dx.doi.org/10.1016/j.surfcoat.2016.12.046.

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Majdzadeh-Ardakani, Kazem, Amir H. Navarchian, and Farhad Sadeghi. "Optimization of mechanical properties of thermoplastic starch/clay nanocomposites." Carbohydrate Polymers 79, no. 3 (2010): 547–54. http://dx.doi.org/10.1016/j.carbpol.2009.09.001.

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Tutmez, Bulent, and Uzay Kaymak. "Fuzzy optimization of slab production from mechanical stone properties." Structural and Multidisciplinary Optimization 37, no. 1 (2008): 71–76. http://dx.doi.org/10.1007/s00158-007-0216-1.

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Doustgani, Amir. "Optimization of mechanical and structural properties of PVA nanofibers." Journal of Industrial Textiles 46, no. 3 (2016): 901–13. http://dx.doi.org/10.1177/1528083715601511.

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Sumirat, Iwan, Noriyuki Yamamoto, and S. Shimamura. "Optimization of Thermal and Mechanical Properties in Nanoporous Materials." Transactions of the Materials Research Society of Japan 36, no. 2 (2011): 281–84. http://dx.doi.org/10.14723/tmrsj.36.281.

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Rasouli, D., Sh Khameneh Asl, A. Akbarzadeh, and G. H. Daneshi. "Optimization of mechanical properties of a micro alloyed steel." Materials & Design 30, no. 6 (2009): 2167–72. http://dx.doi.org/10.1016/j.matdes.2008.08.024.

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Lin, J., J. Luo, and Trevor A. Dean. "Techniques for Determining Mechanical Properties of Power-Law Materials by Instrumented Indentation Tests." Key Engineering Materials 340-341 (June 2007): 555–62. http://dx.doi.org/10.4028/www.scientific.net/kem.340-341.555.

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A novel optimization approach is proposed to extract mechanical properties of a power law material from its given experimental nano-indentation P-h curves. A set of equations have been established to relate the P-h curve to mechanical properties, E, σ y and n, of a material. Using the proposed optimization approach, convergence studies were carried out for the determination of the mechanical properties of materials. It was found that the mechanical properties of an elastic-plastic material usually cannot be uniquely determined using a single loading and unloading P-h curve. Thus a technique has also been developed to determine the material properties from indentation p-h curves using indenters with two different angles. This enables the mechanical properties of materials to be uniquely determined.

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RAJU, L. Suvarna, and Borigorla VENU. "Meta-heuristic optimization of copper friction stir weldments." INCAS BULLETIN 12, no. 2 (2020): 163–71. http://dx.doi.org/10.13111/2066-8201.2020.12.2.14.

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This work focused on the optimization of process parameters, which may result in increasing mechanical properties of copper weldments. The different tool pin profiles such as plain taper cylindrical, taper cylindrical with threaded, triangular, square, pentagonal and hexagonal having constant shoulder diameters were used to fabricate the weldments. The experiments were conducted at different levels of tool rotational speed and weld speeds using six different tool pin profiles. The experimental results revealed that the defect free weldments could be obtained by using different tool pin profiles. From the investigation, it was found the weldments made by using a square (SQ) tool pin profile resulted in better mechanical properties compared to other tool pin profiles. Objective functions are developed for the mechanical properties in terms of input parameters. The input parameters of an SQ tool pin profile were optimized using a metaheuristic optimization based algorithm named teaching learning based optimization (TLBO) technique to improve mechanical properties. The TLBO suggests a combination of 900 rpm of tool rotation speed and 40 mm/min weld speed for better properties.

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Researcher. "SELECTIVE LASER MELTING PROCESS OPTIMIZATION AND MECHANICAL PROPERTIES EVOLUTION OF ALSI10MG." International Journal of Mechanical Engineering and Technology (IJMET) 15, no. 4 (2024): 16–29. https://doi.org/10.5281/zenodo.13150708.

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Unlike conventional methods that involve removing components from a product, the groundbreaking idea behind additive manufacturing (AM) is the gradual creation of materials. A computer-controlled laser is often used in additive manufacturing to shape and consolidate powder feedstock in a layer-by-layer fashion to arbitrary shapes. The aerospace, defense, automotive, and biomedical sectors have high standards, and AM is now being refined to create complex-shaped functional metallic components out of metals, alloys, and other materials. Lightweight structural components with series similar mechanical characteristics may be produced using Selective Laser Melting (SLM), one of the AM technologies that eliminates the requirement for part specific tooling or downstream sintering procedures, among other things. The low weight and excellent mechanical and chemical qualities of aluminium make it an ideal material for such environmentally designed components. We need further information on how processing circumstances and material qualities affect the microstructural and mechanical properties of AM produced components as well as the metallurgical processes that produce them. Following this, we provide a comprehensive overview of AM's material and process components, including the mechanical and microstructural features of AM-processed parts as well as the physical characteristics of AM-optimized materials. Ultimately, the samples made using SLM-Alsi10Mg demonstrated an ultimate tensile strength of 150 MPa, yield strength of 120 MPa, and an elongation of 20%, as determined by the testing data. Mechanical properties of AlSi10Mg, additive manufacturing, laser powder bed fusion, selective laser melting, and related terms.

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Valášek, Petr, and Miroslav Müller. "Optimization of Adhesive Bonds with Particle Fillers." Materials Science Forum 883 (January 2017): 70–74. http://dx.doi.org/10.4028/www.scientific.net/msf.883.70.

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Micro-particle composites can find application in the area of bonded joints. Adhesive bonds rank among progressively developing technologies of material joining. Its usage is found in various industry branches, where they compete the conventional methods of material joining. Optimization of adhesive bonds is discussed topic with respect to mechanical properties as well as its price. This work describes the optimization of adhesives by way of particle micro fillers – glass powder, iron powder and aluminium powder. Shear strength of steel adherents, such as one of key mechanical properties of adhesives, was used for description of effect of inclusion of particles on adhesive. This paper evaluates filled adhesives from the mechanical properties point of view. Image analysis of adhesive bonds and fracture areas were made on stereoscopic microscope and on electron microscope.

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Liao, Xuezhi, Hongbo Wang, Baoyu Li, and Xiaoning Zhao. "Optimization design of a novel zero Poisson’s ratio honeycomb structure for in-plane mechanical performance." Journal of Physics: Conference Series 2478, no. 12 (2023): 122014. http://dx.doi.org/10.1088/1742-6596/2478/12/122014.

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Abstract The excellent deformation performance of structure is the material basis of intelligent morphing aircraft. In this study, a zero Poisson’s ratio honeycomb structure consisting of sinusoidal corrugated walls is applied to morphing aircraft. The in-plane mechanical properties of the structure are deduced theoretically based on the assumption of small strain. According to the application requirements of tensile deformation and shear deformation, an optimization model is established with geometric parameters as optimization variables, and its mechanical properties are optimized by interior point method. The results show that the equivalent mechanical properties of the new zero-Poisson ratio honeycomb structure are greatly improved. The research provides important reference for the innovative design and optimization of honeycomb structures.

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Abhishek, C. Shinkar Ganesh D. Ghuge. "STRUCTURAL INTEGRITY AND OPTIMIZATION OF WELDED STRUCTURE." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 7 (2016): 244–51. https://doi.org/10.5281/zenodo.56971.

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Almost all operation in any industry requires welding. It is indispensable to enhance the various parameters of welding process so that good quality of structure will be obtain which will be reliable and have good strengthening properties. The welding process parameters such as electrodes, inert gas, current, voltage etc. are being focused by industries. In this research paper we have find the optimum current for electrodes mostly use in industries as the industries now a days are preferring for high quality product in lower cost.  ARC Welding is old and commonly used for joining the two metal. The study is carried out to investigate the influence of welding speed, groove angle, Current and Voltage on strength of mechanical properties such as tensile test, impact test. Mechanical testing are carried out to find out the mechanical properties of butt weld joint.  

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S., Sivasankaran, R. Ammar Hany, S. Alaboodi Abdulaziz, and Sajid Mohammad. "Mathematical Modeling (Buckingham's  Theorem) and Optimization Technique on Mechanically Alloyed Nanocomposite Materials." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 1915–21. https://doi.org/10.35940/ijeat.D8948.049420.

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<em>This research work is focused to develop and investigate the mathematical linear and non-linear modelling techniques for mechanically alloyed nanocomposites materials. These conventional and non-conventional artificial intelligent models could predict the both physical and mechanical properties of some nanocomposites materials. The conventional techniques such as dimensional analysis using Buckingham -theory, regression analysis and its hybrid approach; and non-conventional approaches like neural networks, fuzzy theory and adaptive fuzzy theory have addressed through this research work. The most significant input parameters which would affect the mechanical alloying processes, namely, milling time (t, min), ball-to-powder ratio (B), milling speed (N, rpm), ball size (D, mm), percentage of reinforcement (R, %) sintering temperature (T, K), sintering time (ts, min) and consolidation pressure (P, MPa) can be used for the various models. The various responses as physical and mechanical properties to be used are crystallite size (d, nm), bulk hardness (H, MPa), bulk density (ρ, kg/m3 ), tensile strength (σy , MPa), matrix particle size (Z, μm), compressive strength (σu, MPa), and percentage of elongation (e, %). Through this research work, we can select an optimum input parameter as per our required output properties, predicting the physical and mechanical behavior of nanocomposites and select the best linear & non-linear methods.</em>

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Ma, Xiaoying, Zhili Sun, Peng Cui, and Junwei Wu. "Optimization of the welding process parameters of Mg–5Gd–3Y magnesium alloy plates with a hybrid Kriging and particle swarm optimization algorithm." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 232, no. 22 (2017): 4038–48. http://dx.doi.org/10.1177/0954406217747911.

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Selecting suitable welding process parameters to obtain optimal mechanical properties of the weld bead in AC gas tungsten arc welding is of vital importance. This paper presents a combination method of the Kriging model and particle swarm optimization for optimizing welding process parameters to achieve the optimum mechanical properties, such as the tensile strength and micro-hardness, of the weld bead in AC gas tungsten arc welding of GW53 magnesium alloy plates. The Taguchi orthogonal array is first employed to construct a database including the input process parameters (welding speed, welding current, and protection gas flow) and the responses (the tensile strength and micro-hardness of the weld joint). Then, the Kriging model is used to establish the relationships between the input process parameters and the responses. The optimal mechanical properties of the weld bead corresponding to the welding process parameters are obtained by the proposed hybrid Kriging and particle swarm optimization algorithm. Finally, the effectiveness of the proposed method is verified by contrasting the mechanical properties, such as the tensile strength and the average micro-hardness, in the welding base metal and the weld bead. Furthermore, the main reasons for the decrease in the mechanical properties of welded plates are described in this paper.

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Kang, J. J., A. A. Becker, and W. Sun. "A combined dimensional analysis and optimization approach for determining elastic–plastic properties from indentation tests." Journal of Strain Analysis for Engineering Design 46, no. 8 (2011): 749–59. http://dx.doi.org/10.1177/0309324711421723.

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Loading–unloading curves obtained from indentation experiments can be used to extract elastic-plastic mechanical properties using the finite element (FE) method. However, extensive computation times are required in such an approach due to the fact that the optimization procedure is based on iterative FE computations. In this study, a combined dimensional analysis and optimization approach is developed for the determination of the elastic-plastic mechanical properties of power law materials, without the need for iterative FE analysis. A parametric study using FE analysis is first conducted to construct the appropriate dimensional functions. The optimization algorithm with either a single indenter or dual indenters is then used to obtain the material properties from the given loading–unloading curves. Different sets of materials properties are used and the accuracy and validity of the predicted mechanical properties using the single indenter or dual indenters are assessed.

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Zhang, Erlin, Jing Ren, Shengyi Li, Lei Yang, and Gaowu Qin. "Optimization of mechanical properties, biocorrosion properties and antibacterial properties of as-cast Ti–Cu alloys." Biomedical Materials 11, no. 6 (2016): 065001. http://dx.doi.org/10.1088/1748-6041/11/6/065001.

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Azhaguvel, N., S. Charles, and M. Senthilkumar. "OPTIMIZATION OF MECHANICAL PROPERTIES OF E-GLASS WOVEN FABRIC COMPOSITE." Transactions of the Canadian Society for Mechanical Engineering 41, no. 3 (2017): 375–86. http://dx.doi.org/10.1139/tcsme-2017-1026.

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Manufacturing of composite material has been an extensive area of research as they have high strength-to-weight ratio that are equivalent or superior to many metallic materials. This paper describes the preparation of E-Glass (woven fabric) Fiber Reinforced Polymer Composite (GFRP) with different fiber mat material, orientation and resin. The purpose of this paper is to investigate the influence of the process parameters on the mechanical properties of GFRP composite using Taguchi experimental design in combination with Grey Relational Analysis (GRA). The conclusion revealed that fiber orientation and resin were the most influential factor on the mechanical properties, respectively. It is observed that the optimum properties were obtained at 400 fabric mat, polyester resin, 45°/–45°orientation.

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Genecya, G., D. R. Adhika, Widayani, and T. D. K. Wungu. "Optimization of mechanical properties of carrageenan-based bioplastic as food packaging." IOP Conference Series: Earth and Environmental Science 1201, no. 1 (2023): 012079. http://dx.doi.org/10.1088/1755-1315/1201/1/012079.

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Abstract Several types of plastic materials are widely used in food packaging because it has good mechanical and physical properties. However, the types of plastic used in food packaging, such as polyethylene (PE), polypropylene (PP), and polycarbonate (PC), are petroleum-based plastic that is not renewable, not biodegradable, and causes environmental pollution. One option to overcome this problem is to make bioplastic using renewable sources, one of which is carrageenan. Carrageenan is a polysaccharide used in bioplastic synthesis, but it has shortcomings in terms of mechanical properties. Thereby it needs additional supporting materials to improve its mechanical properties. This study aims to obtain optimal mechanical properties such as tensile strength, elongation, and modulus of elasticity. We optimized two variables in this study: glycerol concentration (1, 2, 3, 4, and 5%) and montmorillonite concentration (10, 20, and 30%). Optimization was carried out in two stages; the first stage was the optimization of glycerol concentrations, and the second stage was the optimization of montmorillonite concentrations. The optimum condition was obtained at 3% (v/v) glycerol and 20% (w/w) montmorillonite which gives a tensile strength value of 3.43 MPa, elongation of 47.01%, and Young Modulus of 7.31 MPa. Based on these optimization results, carrageenan-based bioplastic, especially on %EAB value, are comparable with other commercial plastic for food packaging.

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Kashif, Muhammad, Syed Talha Ali Hamdani, Yasir Nawab, Muhammad Ayub Asghar, Muhammad Umair, and Khubab Shaker. "Optimization of 3D woven preform for improved mechanical performance." Journal of Industrial Textiles 48, no. 7 (2018): 1206–27. http://dx.doi.org/10.1177/1528083718760802.

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For structural design applications, through-thickness characteristics of reinforcement played a vital role, which is why 3D woven preforms are recommended for such applications. These characteristics are mainly dependent on the fiber and yarn positioning in reinforcement. Although research has been conducted for characterizing woven composites, special attention has not been made on weave pattern parameter which directly affects the mechanical performance of composites. In this research work, 3D orthogonal layer to layer and through thickness woven structures with different interlocking patterns have been thoroughly studied for their mechanical properties, thickness, air permeability and areal density. Natural fibers when used with biodegradable matrix find use in structural, as well as low to medium impact applications for automobiles. Jute yarn was used to produce four-layered 3D woven structures, as synthetic fibers will not give a biodegradable composite part. The focus of this study is to optimize weave pattern, which is robust in design, degradable preforms and easy to reproduce. The main objective of this research focused on the effectiveness of weaving patterns on physical and mechanical properties as well as to optimize the weave pattern for optimum performance. Grey relational analysis was used for the optimization of the robust weave pattern. The results showed that hybrid structures can be useful for improving the properties of the orthogonal layer to layer and through thickness woven structures. It was also noted that weft-way 3D woven structures can provide comparable mechanical properties with warp-way 3D woven structures.

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Solovykh, E. K., I. V. Shepelenko, M. I. Chernovol, V. P. Shumliakivsky, A. E. Solovuch, and S. E. Katerynych. "Multicriteria optimization of heat-resistant coatings detonation spraying technology." Problems of Tribology 28, no. 4/110 (2023): 36–43. http://dx.doi.org/10.31891/2079-1372-2023-110-4-36-43.

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The paper presents the multi-criteria optimization results of heat-resistant coatings detonation spraying technology. The following criteria for optimization of detonation spraying technology are chosen: critical deformation of coating fracture, adhesion-cohesion equal strength of coating and specific technological cost of coating application. Dependences of the strength properties values of the studied detonation coatings at change of technological and constructive factors have been obtained. It is proved that the greatest influence on the mechanical properties of the studied detonation coatings is exerted by the material of the hardened part and the material composition of the sprayed coating, which is caused by the difference in their thermophysical, chemical and mechanical properties, as well as by the physical and chemical processes occurring during the formation of the sprayed layer. The optimum technological parameters allowing to obtain coatings with specified mechanical properties have been established.

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Cruz-Salgado, J., S. Alonso-Romero, A. Estrada-Monje, and R. Zitzumbo-Guzman. "MECHANICAL PROPERTIES OPTIMIZATION OF A PET/WOOD COMPOSITE BYMIXTURE EXPERIMENTS." Revista Mexicana de Ingeniería Química 15, no. 2 (2016): 643–54. http://dx.doi.org/10.24275/rmiq/mat1241.

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Spišák, Emil, Ivan Gajdoš, and Ján Slota. "Optimization of FDM Prototypes Mechanical Properties with Path Generation Strategy." Applied Mechanics and Materials 474 (January 2014): 273–78. http://dx.doi.org/10.4028/www.scientific.net/amm.474.273.

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This paper present result of a study evaluating the influence of path generation strategy on mechanical properties of Fused Deposition Modeling (FDM) prototypes. Several scientific studies were researching the problematic of path generation and internal structure of FDM prototypes. Mostly the influence on mechanical properties was observed. This paper is aimed on determine the influence of outline number and internal air-gap on tensile strength of parts built from ULTEM 9085. For this two variables was determined the influence on built time and consumption of modeling material. Result show that proper model orientation when the orientation of load is known, can help to reduce the build time and material consumption.

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Choi, Yongkyu, Taeha Ryu, Nakhyun Kim, and Jeongeun Kim. "A Study on the Mechanical Properties Optimization of Solid Propellant." Journal of the Korean Society of Propulsion Engineers 19, no. 6 (2015): 91–97. http://dx.doi.org/10.6108/kspe.2015.19.6.091.

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Krstic, V. D. "Optimization of Mechanical Properties in SiC Control of the Microstructure." MRS Bulletin 20, no. 2 (1995): 46–48. http://dx.doi.org/10.1557/s0883769400049228.

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The optimization of mechanical properties through microstructural design in metallurgical industries has been used successfully for many years. In comparison, the microstructural design in ceramics has been less successful, mainly due to the complexity and difficulties associated with low diffusivity (in their monolithic form) and to the ability to be sintered at elevated temperatures. For years, many structural ceramics could not be sintered to high densities (>95% of their theoretical density) without large quantities of sintering aids. A typical example is silicon carbide (SiC), which has a unique combination of properties, such as: high hardness and wear resistance, considerable strength at high temperatures, and excellent thermal conductivity, but, due to a high level of covalent bonding and consequently low diffusion rates, it cannot be sintered to high density (without the addition of sintering aids) even at temperatures approaching 3000°C.Since the first successful sintering of SiC with small additions of boron and carbon in the early 1970s, remarkable progress has been made in developing a wide range of properties for the microstructure, including fracture toughness from 3–4 MPa m½ to 12–14 MPa m½ four-point-bending strength from 300 MPa to over 900 MPa, and thermal conductivity from 60 to 260 W/m K.4This article presents the most recent developments in SiC ceramics, emphasizing optimization of mechanical properties through microstructure control. The discussion is limited to β-phase SiC pressureless sintering, using oxide additives.

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Kuzmin, A. N., A. A. Filippov, G. V. Pachurin, and D. A. Goncharova. "Optimization of perlite steels mechanical properties for car fasteners stamping." IOP Conference Series: Materials Science and Engineering 695 (December 5, 2019): 012030. http://dx.doi.org/10.1088/1757-899x/695/1/012030.

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Azhaguvel, N., S. Charles, and M. Senthilkumar. "OPTIMIZATION OF MECHANICAL PROPERTIES OF E-GLASS WOVEN FABRIC COMPOSITE." Transactions of the Canadian Society for Mechanical Engineering 41, no. 3 (2017): 375–86. http://dx.doi.org/10.1139/tcsme-2017-0026.

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Journal articles on the topic 'Mechanical Properties Optimization'

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