The Application of an Abaqus Preprocessor Based on Python Language in a DAHC Negative Poisson Ratio Structure

The double-arrow hollow cylinder (DAHC) has excellent mechanical properties under axial compression loads due to its negative Poisson ratio structure. To improve finite element simulation efficiency for parameter optimization analysis, an automatic modeling program for DAHC negative Poisson ratio st...

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Published in:Crystals (Basel) Vol. 15; no. 2; p. 181
Main Authors: Sun, Xiaoting, Yu, Guibo, Zhu, Xiujie, Che, Jinli, Yan, Yuanyuan, Wang, Wei
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.02.2025
Subjects:
Arrays
automatic modeling
Efficiency
Finite element method
Image compression
Language preprocessors
Laser beam melting
Mechanical properties
Modelling
negative poisson ratio
Optimization
Parameters
Poisson's ratio
Python
selective laser melt additive manufacturing
Shock absorbers
Software
static test
ISSN:2073-4352, 2073-4352
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Abstract The double-arrow hollow cylinder (DAHC) has excellent mechanical properties under axial compression loads due to its negative Poisson ratio structure. To improve finite element simulation efficiency for parameter optimization analysis, an automatic modeling program for DAHC negative Poisson ratio structures was developed on the ABAQUS platform using Python. The sample was manufactured using selective laser melting additive manufacturing based on the solid model and then simulated using the finite element method. The accuracy of the automatic modeling method was confirmed by comparing load–displacement curves and deformation cloud images with static compression test results. The DAHC automatic modeling program based on Python can reduce workload during parameter optimization analysis and improve finite element analysis efficiency.
AbstractList The double-arrow hollow cylinder (DAHC) has excellent mechanical properties under axial compression loads due to its negative Poisson ratio structure. To improve finite element simulation efficiency for parameter optimization analysis, an automatic modeling program for DAHC negative Poisson ratio structures was developed on the ABAQUS platform using Python. The sample was manufactured using selective laser melting additive manufacturing based on the solid model and then simulated using the finite element method. The accuracy of the automatic modeling method was confirmed by comparing load–displacement curves and deformation cloud images with static compression test results. The DAHC automatic modeling program based on Python can reduce workload during parameter optimization analysis and improve finite element analysis efficiency.
Author Yu, Guibo
Sun, Xiaoting
Yan, Yuanyuan
Zhu, Xiujie
Wang, Wei
Che, Jinli
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SubjectTerms Arrays
automatic modeling
Efficiency
Finite element method
Image compression
Language preprocessors
Laser beam melting
Mechanical properties
Modelling
negative poisson ratio
Optimization
Parameters
Poisson's ratio
Python
selective laser melt additive manufacturing
Shock absorbers
Software
static test
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