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Journal articles on the topic 'ABAQUS python scripting'
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1
Yeda, Lian, Zhang Bing, and Wu Renqiang. "Application of Python language in UOE molding simulation of pipeline steel." MATEC Web of Conferences 242 (2018): 01018. http://dx.doi.org/10.1051/matecconf/201824201018.
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The ABAQUS plug-in interface based on Python language realizes geometrical design and automatic modeling of gas pipeline UOE molding, which solves the cumbersome problem of manually building complexgeometric models. In this study, the algorithm for different sizes of pipelines corresponding to different molds was designed. At the same time, as the ABAQUS kernel scripting program was written, a GUI interface was developed. The interface was used to realize automatic modeling and analysis and control of the calculation work, which laid a solid foundation for practical engineering application analysis.
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Gu, Tian, Cheng Xi Lei, and Zhong Wen Xing. "Study on the Phase Transformation Simulation of Hot-Stamping." Advanced Materials Research 486 (March 2012): 492–96. http://dx.doi.org/10.4028/www.scientific.net/amr.486.492.
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The temperature fields in hot-stamping process for BR1500HS steel sheet was simulated under the ABAQUS environment. Python scripting language was used for post-processing module of ABAQUS for secondary development, to obtain the volume fraction of martensite based on the formulas proposed by Koistinen and Marburger. The comparison results between simulation and metallograph show that the simulation can predict the volume fraction of martensitic effectively and thus can provide the guidance for the optimizing process parameters.
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Tang, Wei. "Application of ABAQUS Secondary Development in Finite Element Analysis of the Bend Roller." Advanced Materials Research 187 (February 2011): 609–13. http://dx.doi.org/10.4028/www.scientific.net/amr.187.609.
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Bend roller is a key component of belt conveyor. Its reliability and service life have serious impacts on the performance of conveyor. In this study, Python was used as the programming langrage to complete Secondary Development, mainly focused on complied User Interface and Scripting Program. Taking one meter bend roller as an example, its parametric analysis was accomplished, the results showed that program interface was friendly and feasible, and the design efficiency can be improved distinctly, further more it provided a theoretical basis for bend roller design and optimization.
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Jin, Xia, Lu Wei Zhuang, Yi Dong Bao, and Yong Kun Han. "Development of a Rubber Diaphragm Forming Simulation System Based on ABAQUS." Key Engineering Materials 725 (December 2016): 604–9. http://dx.doi.org/10.4028/www.scientific.net/kem.725.604.
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Rubber diaphragm forming is one of very important manufacture method in aircraft manufacturing. In order to achieve the purpose of precise forming and high efficient simulation of the rubber diaphragm forming for the aircraft sheet metal parts in CAE software of ABAQUS, first the blank design module is developed and embedded into ABAQUS in the use of one step inverse finite element method because there is no blank design algorithm in ABAQUS. Then according to the characteristics of the rubber diaphragm forming, development technology on ABAQUS is applied to develop a rubber diaphragm forming simulation system based on combining Graphical User Interface GUI and the scripting language of Python. In this system, the parameter definition plug-in and finite element modeling module are designed to save a lot of tedious steps, so the blank parameters and process parameters can be defined rapidly and the simulation process can be simplified in ABAQUS, which can greatly improve the analysis speed and improve the efficiency of the finite element method. Finally the accuracy and effectiveness of the rubber diaphragm forming simulation system are verified by the simulation of a typical part that is a door frame bracket of aircraft.
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He, Wen Tao, Jing Xi Liu, and De Xie. "Two-Dimensional Crack Growth Simulation under Mixed-Mode Loading." Applied Mechanics and Materials 577 (July 2014): 301–4. http://dx.doi.org/10.4028/www.scientific.net/amm.577.301.
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In this paper, an efficient simulation program (FCG-System) is proposed to simulate 2D fatigue crack growth under mixed-mode loading conditions. The simulation is basically an incremental crack extension procedure. An object-oriented modeling frame is proposed for simulating fatigue crack growth of complex structures. The modeling frame is developed in the context of the commercial FE code ABAQUS, utilizing Python language and ABAQUS Scripting Interface (ASI). The highly automatic finite element simulation method is not only used for a single crack tip, but also has been extended to the system of interactive multiple cracks. The robustness and the accuracy of the new simulation code will be shown by two examples, including single crack growth and multiple cracks growth. Those applications indicate that the implementation of the FCG-System, as proposed herein, can be a useful tool for this class of fatigue crack growth.
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Shui, Xiao Ju, Yi Du Zhang, and Qiong Wu. "Mesoscopic Model for SiCP/Al Composites and Simulation on the Cutting Process." Applied Mechanics and Materials 487 (January 2014): 189–94. http://dx.doi.org/10.4028/www.scientific.net/amm.487.189.
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For deep application of the FEM on the study of cutting mechanism of SiCP/Al, the article completed the algorithm to generate the mesoscopic model of SiCP/Al with the parameterization of the shape and volume fraction of SiC based on the ABAQUS scripting language python. Two-dimensional randomly distributed circular particles model, circular mixed with regular polygon particles model and arbitrary polygon model are generated with volume fraction of 30% and cutting simulations were carried out on the models. Results show that cutting force of SiCP/Al with uniform distribution and size of circular particles will be relatively stable and during the cutting process, stress field changes with the shape and distribution of the particles and the relative position of the particles and tool. Poor surface quality was mainly caused by the interaction among the tool, the particles and the matrix material.
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He, Lin, Cong Liu, and Zhen Yu Wu. "Parametric Modeling and Stability Analysis of Temporary Grandstand." Applied Mechanics and Materials 578-579 (July 2014): 907–16. http://dx.doi.org/10.4028/www.scientific.net/amm.578-579.907.
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Temporary grandstands bear crowd load, which is created when spectators jumping on the structure. The simplified loads applied to temporary grandstand have been obtained based on experiment data of human body jumping forces. By the ABAQUS software, the parametric and automatic modeling of three-dimensional (3D) temporary grandstand structures has been realized with Python scripting. The linear buckling analysis and nonlinear buckling analysis of the structure have been carried out. The ultimate bearing capacity and the structural deformation under crowd load have been acquired. Results show that the nonlinear effect of the structure under crowd load is very obvious; the linear buckling analysis cannot get the ultimate bearing capacity of the structure and the first order buckling mode cannot simulate the final deformation of the structure either. The research of this paper greatly improve the efficiency of the construction and automation design of temporary structures and reveal the mechanical behavior of such structure to a certain degree.
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Ying, Zhang, Lian Zhanghua, Wei Chenxin, and Nguejio Florent Brice. "Research on damage progression of drill string material based on the extended finite element method." Science Progress 104, no. 3 (July 2021): 003685042110422. http://dx.doi.org/10.1177/00368504211042258.
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In this paper, the process of crack propagation is investigated using the extended finite element method at the mesoscale to study the drill pipe fracture mechanism. Firstly, the property of the S135 drill pipe was analyzed through physical and chemical experiments and the scanning electron microscope method. After that, a grain distribution model of the drill pipe material at the mesoscale was established by the Python scripting language on ABAQUS platform. Furthermore, the extended finite element method was applied to study crack dynamic propagation. And the distribution of stress and strain during the crack propagation were obtained at the mesoscale grain model. Finally, by the mesomechanics “homogenization” method, the stress and strain of the crack propagation model at different times were analyzed, and the influence of crack propagation on drill pipe material was obtained. Simulation results show that, although drill pipe material at the macroscopic scale is in the elastic stage, plastic zone and micro-crack propagation may also exist at the mesoscale. The proposed method in this paper studied the stress distribution in the crack tip during the propagation, which is a benefit for exploring the fracture mechanism of drill pipe.
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Abdelrahman, A. H. A., Siwei Liu, Yao-Peng Liu, and Siu-Lai Chan. "Simulation of Thin-Walled Members with Arbitrary-Shaped Cross-Sections for Static and Dynamic Analyses." International Journal of Structural Stability and Dynamics 20, no. 12 (October 10, 2020): 2050128. http://dx.doi.org/10.1142/s021945542050128x.
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The main objective of this paper is to validate a finite-element (FE) modeling protocol to simulate thin-walled members for static and dynamic analyses. Arbitrary-shaped cross-sections, including open, closed, and multicellular sections can be efficiently modeled for further advanced study. The framework is thoroughly validated and verified using the existing analytical and closed-form solutions, as well as experimental results available in literature. This work is motivated by the higher accuracy of the shell FE-based modeling to capture the local and global complex behaviors of thin-walled members with asymmetric sections. Higher computational expenses, however, are required for such sophisticated shell finite element models (SFEM). Accordingly, a framework hosted in MATLAB and implementing the python scripting technique in ABAQUS, is developed, which includes eigen buckling, static nonlinear, modal frequency and dynamic time-history analyses. For a more modeling convenience, various parameters are incorporated such as imperfections, residual stresses, material definitions, element choice, meshing control, and boundary conditions. Several examples are provided to illustrate the application of the proposed framework, and to prove the robustness and accuracy of the generated FE models. This paper concludes with the efficiency of implementing SFEMs for simulating thin-walled members; thereby, establishing a more accurate and advanced structural analysis.
10
Elruby, A. Y., Sam Nakhla, and A. Hussein. "Automating XFEM Modeling Process for Optimal Failure Predictions." Mathematical Problems in Engineering 2018 (August 7, 2018): 1–14. http://dx.doi.org/10.1155/2018/1654751.
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The eXtended Finite Element Method (XFEM) is a versatile method for solving crack propagation problems. Meanwhile, XFEM predictions for crack onset and propagation rely on the stress field which tends to converge at a slower rate than that of displacements, making it challenging to capture critical load at crack onset accurately. Furthermore, identifying the critical region(s) for XFEM nodal enrichments is user-dependent. The identification process can be straightforward for small-scale test specimen while in other cases such as complex structures it can be unmanageable. In this work a novel approach is proposed with three major objectives; (1) alleviate user-dependency; (2) enhance predictions accuracy; (3) minimize computational effort. An automatic critical region(s) identification based on material selected failure criterion is developed. Moreover, the approach enables the selection of optimized mesh necessary for accurate prediction of failure loads at crack initiation. Also, optimal enrichment zone size determination is automated. The proposed approach was developed as an iterative algorithm and implemented in ABAQUS using Python scripting. The proposed algorithm was validated against our test data of unnotched specimens and relevant test data from the literature. The results of the predicted loads/displacements at failure are in excellent agreement with measurements. Crack onset locations were in very good agreement with observations from testing. Finally, the proposed algorithm has shown a significant enhancement in the overall computational efficiency compared to the conventional XFEM. The proposed algorithm can be easily implemented into user-built or commercial finite element codes.
11
Vu, Duc Hieu. "Developing Python scripting for mesh convergence in Abaqus." Journal of Science and Technique 5, no. 1 (July 7, 2022). http://dx.doi.org/10.56651/lqdtu.jst.v5.n01.365.sce.
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The difficulty in solving finite element programs is to estimate the appropriate element size to obtain a reliable solution. Therefore, the element(s) size and meshing density is required to be determined reasonably. However, almost models ignored that problem or have to solve it by hand. In addition, the processes recreate meshing, and updating the total model is a really big deal because of time-consuming. To establish a proper mesh convergence method, it is required to plot the curve for a critical result (typically stress or displacement) in a specific part or point in the considered model versus mesh density. To deal with it, the article is aimed to introduce how to use the Python script to estimate mesh convergence. The method uses the Python script automatically to refine the mesh and update the system. In addition, at least three convergence results are displayed to plot a curve which can be used to indicate the achieved convergence. Finally, the article also suggests some critical conditions for implicit and explicit problems to archive the optimum convergence.
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Chou, Kuang-Wu, and Chang-Wei Huang. "A NEW ELEMENT-BASED METHOD FOR SOLVING STRUCTURAL TOPOLOGY OPTIMIZATION PROBLEMS WITH NON-UNIFORM MESHES." Proceedings of International Structural Engineering and Construction 8, no. 1 (July 2021). http://dx.doi.org/10.14455/isec.2021.8(1).str-19.
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This study proposes a new element-based method to solve structural topology optimization problems with non-uniform meshes. The objective function is to minimize the compliance of a structure, subject to a volume constraint. For a structure of a fixed volume, the method is intended to find a topology that could almost conform to the compliance minimum. The method is refined from the evolutionary switching method, whose policy of exchanging elements is improved by replacing some empirical decisions with ones according to optimization theories. The method has the evolutionary stage and the element exchange stage to conduct topology optimization. The evolutionary stage uses the evolutionary structural optimization method to remove inefficient elements until the volume constraint is satisfied. The element exchange stage performs a procedure refined from the element exchange method. Notably, the procedures of both stages are refined to conduct non-uniform finite element meshes. The proposed method was implemented to use the Abaqus Python scripting interface to call the services of Abaqus such as running analysis and retrieving the output database of an analysis. Numerical examples demonstrate that the proposed optimization method could determine the optimal topology of a structure that is subject to a volume constraint and whose mesh is non-uniform.
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Shrivastava, Sachin, and P. M. Mohite. "Design and Optimization of a Composite Canard Control Surface of an Advanced Fighter Aircraft under Static Loading." Curved and Layered Structures 2, no. 1 (January 1, 2015). http://dx.doi.org/10.1515/cls-2015-0006.
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AbstractThe minimization of weight and maximization of payload is an ever challenging design procedure for air vehicles. The present study has been carried out with an objective to redesign control surface of an advanced all-metallic fighter aircraft. In this study, the structure made up of high strength aluminum, titanium and ferrous alloys has been attempted to replace by carbon fiber composite (CFC) skin, ribs and stiffeners. This study presents an approach towards development of a methodology for optimization of first-ply failure index (FI) in unidirectional fibrous laminates using Genetic-Algorithms (GA) under quasi-static loading. The GAs, by the application of its operators like reproduction, cross-over, mutation and elitist strategy, optimize the ply-orientations in laminates so as to have minimum FI of Tsai-Wu first-ply failure criterion. The GA optimization procedure has been implemented in MATLAB and interfaced with commercial software ABAQUS using python scripting. FI calculations have been carried out in ABAQUS with user material subroutine (UMAT). The GA's application gave reasonably well-optimized ply-orientations combination at a faster convergence rate. However, the final optimized sequence of ply-orientations is obtained by tweaking the sequences given by GA's based on industrial practices and experience, whenever needed. The present study of conversion of an all metallic structure to partial CFC structure has led to 12% of weight reduction. Therefore, the approach proposed here motivates designer to use CFC with a confidence.
14
Jain, Ria, Kunal Kapur, Jiaqi Wang, Yin Yu, Diarmid Flatley, and Lina Kim. "Soft Robotics in Body Assistance: An Intelligent Rehabilitation Device with Soft Continuum Actuation." Journal of Student Research 10, no. 1 (March 31, 2021). http://dx.doi.org/10.47611/jsrhs.v10i1.1393.
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In an effort to improve rehabilitation devices, the applications of soft robotics technologies to prosthetics and physical therapy was explored, particularly due to the benefits of the inherent properties of soft materials. A conceptual design for a soft robotics device prototype is proposed to assist with physical therapy for wrist tendonitis and arthritis, carpal tunnel syndrome, fractures and sprains, and compromised motor skills due to chronic stroke. The device assists in four motions that are commonly performed in wrist therapy: flexion, extension, and rotation (clockwise and counterclockwise) using soft pneumatic actuators to guide movements. The distinct directions were achieved by varying the lateral and radial strain limiting layers. The device uses embodied intelligence to make the device dynamically adaptable in real time, allowing for a customizable recovery process. A detailed model of the device was developed and the viability of the design was assessed using a suite of state-of-the-art simulation tools and limited hardware prototyping. Simulations were performed through integration of Rhinoceros 3D, Grasshopper 3D, Firefly, an Arduino microcontroller, biosensors, Python scripting, and visual parametric programming. Pressure and materials were simulated and tested in Simulia Abaqus and Autodesk Fusion 360. Several parametric variations were tried using simulations and the predictions revealed that rubber silicone at a pressure of 10 kiloPascals is the optimal choice.
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Sobotka, James C., and R. Craig McClung. "Verification of Stress-Intensity Factor Solutions by Uncertainty Quantification." Journal of Verification, Validation and Uncertainty Quantification 4, no. 2 (June 1, 2019). http://dx.doi.org/10.1115/1.4044868.
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Abstract This paper summarizes an emerging process to establish credibility for surrogate models that cover multidimensional, continuous solution spaces. Various features lead to disagreement between the surrogate model's results and results from more precise computational benchmark solutions. In our verification process, this disagreement is quantified using descriptive statistics to support uncertainty quantification, sensitivity analysis, and surrogate model assessments. Our focus is stress-intensity factor (SIF) solutions. SIFs can be evaluated from simulations (e.g., finite element analyses), but these simulations require significant preprocessing, computational resources, and expertise to produce a credible result. It is not tractable (or necessary) to simulate a SIF for every crack front. Instead, most engineering analyses of fatigue crack growth (FCG) employ surrogate SIF solutions based on some combination of mechanics, interpolation, and SIF solutions extracted from earlier analyses. SIF values from surrogate solutions vary with local stress profiles and nondimensional degrees-of-freedom that define the geometry. The verification process evaluates the selected stress profiles and the sampled geometries using the surrogate model and a benchmark code (abaqus). The benchmark code employs a Python scripting interface to automate model development, execution, and extraction of key results. The ratio of the test code SIF to the benchmark code SIF measures the credibility of the solution. Descriptive statistics of these ratios provide convenient measures of relative surrogate quality. Thousands of analyses support visualization of the surrogate model's credibility, e.g., by rank-ordering of the credibility measure.