Lei Shang, Suxia Huang, Jianhua Hu, Hezong Li, Yong Pang
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引用次数: 0
Abstract
The purpose of this work is to study the effect of anisotropic plasticity on the micro-deep drawing of the 304 stainless steel foils through a combination of experimental testing and numerical modeling. A phenomenological anisotropic model, with the Yld2004-18p yield function, is used to model the anisotropic plasticity deformation of the material. Based on the miniature tensile experimental data and Voce's hardening law, the coefficients in the Yld2004-18p function were calibrated. The FE modelling was implemented using ABAQUS to simulate the micro-deep drawing experiments. The wall thickness and height of the cylindrical cup obtained by the simulation have shown to be reasonably close to the experimental values, and the distribution of ears is the same as the experimental results. It has shown that the Yld2004-18p anisotropic yield function can accurately describe the anisotropic behavior of 304 stainless steel foils during the micro-deep drawing process.
期刊介绍:
The Journal publishes and disseminates original research in the field of material forming. The research should constitute major achievements in the understanding, modeling or simulation of material forming processes. In this respect ‘forming’ implies a deliberate deformation of material.
The journal establishes a platform of communication between engineers and scientists, covering all forming processes, including sheet forming, bulk forming, powder forming, forming in near-melt conditions (injection moulding, thixoforming, film blowing etc.), micro-forming, hydro-forming, thermo-forming, incremental forming etc. Other manufacturing technologies like machining and cutting can be included if the focus of the work is on plastic deformations.
All materials (metals, ceramics, polymers, composites, glass, wood, fibre reinforced materials, materials in food processing, biomaterials, nano-materials, shape memory alloys etc.) and approaches (micro-macro modelling, thermo-mechanical modelling, numerical simulation including new and advanced numerical strategies, experimental analysis, inverse analysis, model identification, optimization, design and control of forming tools and machines, wear and friction, mechanical behavior and formability of materials etc.) are concerned.