MUITI-OBJECTIVE OPTIMAZATION IN THE ELECTRICAL DISCHARGE MACHINING OF THE TA7 BASED ON BSO ALGORITHM

ZHANG LiXin; YANG Kang; LI YuXi

doi:10.16579/j.issn.1001.9669.2018.03.022

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MUITI-OBJECTIVE OPTIMAZATION IN THE ELECTRICAL DISCHARGE MACHINING OF THE TA7 BASED ON BSO ALGORITHM

更新时间：2022-09-22

- MUITI-OBJECTIVE OPTIMAZATION IN THE ELECTRICAL DISCHARGE MACHINING OF THE TA7 BASED ON BSO ALGORITHM
- Journal of Mechanical Strength Vol. 40, Issue 3, Pages: 639-646(2018)
- 作者机构：
  
  1. 西安理工大学高等技术学院
  2. 西安北方光电科技防务有限公司
  3. 西安现代控制技术研究所
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2018.03.022
  CLC：
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ZHANG LiXin, YANG Kang, LI YuXi. MUITI-OBJECTIVE OPTIMAZATION IN THE ELECTRICAL DISCHARGE MACHINING OF THE TA7 BASED ON BSO ALGORITHM. [J]. 40(3):639-646(2018)
DOI：

ZHANG LiXin, YANG Kang, LI YuXi. MUITI-OBJECTIVE OPTIMAZATION IN THE ELECTRICAL DISCHARGE MACHINING OF THE TA7 BASED ON BSO ALGORITHM. [J]. 40(3):639-646(2018) DOI： 10.16579/j.issn.1001.9669.2018.03.022.

摘要

针对现有电火花机床上没有钛合金加工电规准的问题,设计中心组合实验,综合考量空载电压、峰值电流、脉冲宽度以及脉冲间隔对TA7电火花加工材料去除率、表面粗糙度和电极损耗率的影响。建立材料去除率、表面粗糙度和电极损耗率的预测模型。为了同时兼顾材料去除率、表面粗糙度和电极损耗率这三个相互矛盾的工艺目标,建立工艺目标优化模型,设计头脑风暴算法对优化模型进行求解。对优化结果进行验证:材料去除率、表面粗糙度和电极损耗率的实测值与优化结果的平均相对误差分别为5%、4.7%、5.5%。验证结果表明头脑风暴算法可以有效的获得TA7钛合金电火花加工的最佳工艺参数。

Abstract

For the existing EDM machine,there is no specification of titanium alloy processing standard,the design center combination experiment,comprehensive consideration of no-load voltage,peak current,pulse width and pulse interval on TA7 EDM material removal rate,surface roughness and electrode Loss rate. The prediction model of material removal rate,surface roughness and electrode loss rate was established. In order to take into account the three conflicting process objectives of material removal rate,surface roughness and electrode loss rate,a process objective optimization model was established,and the brainstorm algorithm was designed to solve the optimization model. The results show that the average relative error between the measured value of material removal rate,surface roughness and electrode loss is 5%,4. 7% and 5. 5%,respectively. The results show that the brainstorm algorithm can effectively obtain the best process parameters of TA7 titanium alloy EDM.

关键词

电火花成形加工TA7材料去除率头脑风暴算法

Keywords

Electrical discharge machiningTA7Material removal rateBrain storm optimization algorithm

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School of Mechanical and Precision Instrument Engineering,Xi’an University of Technology

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