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基于改进遗传算法的钛合金TC18铣削参数优化 被引量:8

Optimization of Parameters for Milling Titanium Alloy TC18 with Improve Genetic Algorithm
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摘要 钛合金TC18因其热强度高、抗腐蚀性好等优点在航空航天制造业中得到关注,但是其化学活性大、导热性差等缺点给加工带来诸多困难。针对钛合金TC18的加工过程,建立了铣削参数数学模型及其约束条件,以材料去除率为目标函数,利用改进遗传算法对钛合金TC18铣削参数进行优化,得到的切削参数缩短了加工时间,提高了效率。并以实验验证了该方法的实用性和有效性。 Titanium alloy TC18 is interesting in Aircraft and Spacecraft manufacture because of its high temperature strength and good resistance to chemical corrosion, but it is hard to be machined due to its weakness in chemical activity and thermal conductivity, we create a mathematical model and constraint conditions for machining parameters by means of studying the machining process. In the model, Material Removal Rate is made as the objective function, and the machining parameters are optimized by using an improved Genetic algorithm in order to reduce machining time and increase efficiency. The experiment results show that the proposed algorithm is useful and valuable in engineering specialties.
出处 《组合机床与自动化加工技术》 北大核心 2010年第5期41-43,共3页 Modular Machine Tool & Automatic Manufacturing Technique
关键词 改进遗传算法 参数优化 材料去除率 钛合金TC18 improved genetic algorithm optimization of parameters material removal rate titanium alloy TC18
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