Measurement of Aluminum Alloy Automotive Cover Parts Forming Parts Based on ARGUS System

Authors

  • Congbiao Liu

DOI:

https://doi.org/10.54097/4q145p23

Keywords:

Stamping forming, ARGUS mesh strain measurement system, simulation, aluminum alloy automotive panels.

Abstract

 This article takes the outer panel of an aluminum alloy engine hood as the research object, uses the finite element analysis software Dynaform for finite element analysis simulation, and uses the ARGUS mesh strain measurement system to conduct experimental analysis on the solid formed parts. This article mainly completes the experimental verification of parameters such as thinning rate measurement for a formed aluminum alloy automotive cover using the ARGUS grid strain measurement system. By comparing simulation results with experimental measurement results, check whether the formed part is feasible under this process parameter. To ensure the accuracy of the results, 21 points distributed in different parts of the formed part were taken and measured using the ARGUS grid strain measurement system to check whether the simulation results are close to the experimental results.

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References

Wenchao X, Hanrong C, Wei L, et al. Multi objective optimization with automatic simulation for partition temperature control in aluminum hot stamping process [J] Structural and Multidisciplinary Optimization, 2022, 65 (3):

Cai, Hanrong, Xiao, et al. The prediction of part thickness using machine learning in aluminum hot stamping process with partition temperature control [J] The International Journal of Advanced Manufacturing Technology, 2022119 (5-6): 1-12

Francisco A S D, Silva A F M, Benedito J O S D, et al. Multi objective optimization and fine element method combined with optimization via Monte Carlo simulation in a stamping process under uncertainty [J] The International Journal of Advanced Manufacturing Technology, 2021117 (1-2): 305-327

Yanmin X, Kai F, Meiyu D, et al. Robust optimization of stamping process based on ¬Bayesian estimation [J] ¬Journal of Manufacturing Processes, 2023101245-258

SunG, Li G, Li Q Variable fidelity design based on surveying and artistic be colony algorithm for sheet metal forming processes Fine Elements in Analysis&Design, 2012,59 (none): 76-90

Jaremenko Christian, Ravikumar Nishant, Affronti Emanuela, et al. Determination of For ming Limits in Sheet Metal Forming Using Deep Learning [J] Materials (Basel, Switzerland), 2019,12 (7): 1051

Zhang Shaohua. Research on Stamping Rebound Control and Profile Compensation of Aluminum Alloy Engine Hood Outer Panel [D]. Jilin University, 2018

Gao Wenping. Simulation of stamping process for left rear wheel cover inner plate based on DYNAFORM [D]. Jilin, Jilin University, 2014

Zang Qiqi, Yan Huajun, Zhang Shuangjie, etc Analysis of Aluminum Alloy Automotive Floor Beam Forming and Optimization of Process Parameters Based on Dynaform [J] Journal of Plastic Engineering, 2019, 26 (02): 125-131

Yang Shucai, Li Qiang, Yang Songtao Research on the influence of deep drawing forming parameters on motor shell based on Dynaform numerical simulation [J] Aerospace Precision Manufacturing Technology, 2018, 54 (3): 1-6

Literature and Art. Optimization Design of Drawing Process Parameters Based on Response Surface Method [D]. Huazhong University of Science and Technology, 2013

Liu Zhenshan, Li Yingdong, Zhao Jingwei, etc Research on aluminum alloy materials and application technologies for automotive lightweighting [J] China Materials Progress, 2022, 41 (10): 786-795+807

Wu Fengling, Cao Zhenyu, Jia Huipeng, et al. Design of Aluminum Alloy Fuel Tank End Cap Process and Closing Mold Structure [J]. Forging Technology, 2023,48 (11): 179-184+195

Qiangjun. Multi objective optimization of forming process parameters for automotive hood inner panels. Forging Technology, 2016, 41 (4): 41-44

Xie Yanmin. Research on Robust Optimization Design of Sheet Metal Forming Process Based on Kriging Model and Grey Relational Analysis [D]. Shanghai Jiao Tong University, 2007

Hossein G T ,Hassan N M ,Hossein A R , et al.Experimental-numerical analysis of ductile damage modeling of aluminum alloy using a hybrid approach: ductile fracture critria and adaptive neural-fuzzy system (ANFIS)[J].International Journal of Modelling and S-imulation,2023,43(5):736-751.

Xinyu H ,Bin Z ,Claudia C , et al.Experimental investigation on the quasi-static structural properties of carbon fibre/metal hybrids processed by roll forming[J].Journal of Materials Processing Tech.,2022,310

Husmann S ,Kuhlenkötter B .Investigation for an Automated Avoidance of Ring Climbing in Radial-Axial Ring Rolling[J].Procedia Engineering,2017,2071242-1247.

Mugendiran V ,Gnanavelbabu A .Comparison of plastic strains on AA5052 by single point incremental forming process using digital image processing[J].Journal of Mechanical Science and Technology,2017,31(6):2943-2949.

Husmann S ,Kuhlenkötter B .Investigation for an Automated Avoidance of Ring Climbing in Radial-Axial Ring Rolling[J].Procedia Engineering,2017,2071242-1247.

El-Kenawy E S M, Eid M M, Saber M, et al. MbGWO-SFS: Modified binary grey wolf optimizer based on stochastic fractal search for feature selection[J]. IEEE Access, 2020, 8: 107635-107649.

Anwar A ,Ali M A ,Majed A , et al.Manufacturing energy and environmental evaluation of metallic sheets reshaping based on theoretical models and cradle-to-gate assessment[J].Journal of Cleaner Production,2023,416

Tonan K ,Akira K ,Takashi H , et al.Efficient Folding Algorithms for Convex Poly-hedra[J].Discrete Computational Geometry,2022,70(4):1499-1522.

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Published

21-05-2024

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Section

Articles

How to Cite

Liu, C. (2024). Measurement of Aluminum Alloy Automotive Cover Parts Forming Parts Based on ARGUS System . Academic Journal of Science and Technology, 11(1), 26-30. https://doi.org/10.54097/4q145p23