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Machine tool selection based on fuzzy evaluation and optimization of cutting parameters

 

ZHANG Bao-ping1, GUAN Shi-xi1, ZHANG Bo1, WANG Bin2, TIAN Tian2

 

(1. College of Mechatronic Engineering, North University of China, Taiyuan 030051, China;2. North General Power Group Co., Ltd., Datong 037036, China)

 

Abstract: The paper analyzes the factors influencing machine tool selection. By using fuzzy mathematics theory, we  establish a theorietical model for optimal machine tool selection considering geometric features, clamping size, machining range, machining precision and surface roughness. By means of fuzzy comprehensive   evaluation method, the membership degree of machine tool selection and the largest comprehensive evaluation index are determined. Then the reasonably automatic selection of machine tool is realized in the generative computer aided process planning (CAPP) system. Finally, the finite element model based on ABAQUS is established and the cutting process of machine tool is simulated. According to the theoretical and empirical cutting parameters and the curve of surface residual stress,  the optimal cutting parameters can be determined.

 

Key words:  fuzzy evaluation; machine selection; computer aided process planning(CAPP); parameter optimization

 

CLD number: TH164   Document code: A

 

Article ID: 1674-8042(2015)04-0384-06   doi: 10.3969/j.issn.1674-8042.2015.04.014

 

References

 

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基于模糊评判的机床类型选择及切削参数优化

 

张保平1, 关世玺1, 张博1, 王斌2, 田甜2

 

 (1. 中北大学 机电工程学院, 山西 太原 030051; 2. 北方通用动力集团有限公司, 山西 大同 037036)

 

摘要:对影响机床选择的各个因素进行了分析, 利用模糊数学理论, 根据零件几何特征、 机床装夹尺寸、 加工范围、 加工精度、 加工表面粗糙度等因素建立了机床优化选择的理论模型, 并利用模糊综合评判法确定了机床选择的隶属度及最大综合评判指标, 在创成式CAPP系统中实现了机床的合理自动选择。 建立了ABAQUS有限元模型, 对机床的钻削过程进行仿真, 分别得到了理论上和经验上的切削参数与切削力、 切削参数与加工表面残余应力的关系曲线图, 从而找到了最优的切削参数。

 

关键词:模糊评判; 机床选择; CAPP; 参数优化

 

引用格式:ZHANG Bao-ping, GUAN Shi-xi, ZHANG Bo, et al. Machine tool selection based on fuzzy evaluation and optimization of cutting parameters. Journal of Measurement Science and Instrumentation, 2015, 6(4): 384-389. [doi: 10.3969/j.issn.1674-8042.2015.04.014]
 

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