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G3鎳基合金熱擠壓模具型腔優(yōu)化設(shè)計(jì)
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國家自然科學(xué)基金和上海寶鋼集團(tuán)公司重點(diǎn)資助項(xiàng)目(50831008)


Optimization Design of Die Profile during Hot Extrusion of G3 Nickel-Base Alloy
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    摘要:

    基于修正的Archard磨損模型，對(duì)G3鎳基合金熱擠壓成形工藝中擠壓模具磨損行為進(jìn)行了有限元分析。采用BP神經(jīng)網(wǎng)絡(luò)建立熱擠壓模具形狀和磨損深度的映射關(guān)系。以模具表面磨損深度均勻分布為目標(biāo)，結(jié)合遺傳算法(genetic algorithm， GA)，提出了一種集三者為一體的G3鎳基合金熱擠壓模具型腔優(yōu)化設(shè)計(jì)方法。計(jì)算結(jié)果表明，模具型腔經(jīng)過優(yōu)化后，最大磨損深度值降低約30%，磨損深度沿錐模表面分布更均勻，表明這種優(yōu)化設(shè)計(jì)方法可以提高擠壓模具的耐磨性能和使用壽命

    Abstract:

    The hot extrusion process of G3 nickel-base alloy was modeled and analyzed by the finite-element method (FEM) to obtain the wear depth of nodes on the die surface based on the modified Archard wear theory. BP neutral network was applied to identify the relationship between the die profile and wear depth of the extrusion die. A genetic algorithm (GA) was used to optimize the die profile which yields more uniform wear distribution on die surface. Thus, the FEM, neutral network, and genetic algorithm were combined to develop a method for the design of the optimal shape of a hot extrusion die. The result shows that the maximum wear depth of the extrusion die is decreased by about 30%, and the wear distribution along the die profile surface is more uniform, indicating that the above approach can improve the wear resistance and the life of extrusion die in hot extrusion of G3 alloy

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王寶順,董建新,張麥倉. G3鎳基合金熱擠壓模具型腔優(yōu)化設(shè)計(jì)[J].稀有金屬材料與工程,2011,40(7):1157~1162.[Wang Baoshun, Dong Jianxin, Zhang Maicang. Optimization Design of Die Profile during Hot Extrusion of G3 Nickel-Base Alloy[J]. Rare Metal Materials and Engineering,2011,40(7):1157~1162.]
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  • 收稿日期:2010-07-07
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