Optimization of Cutting Insert Geometric Parameters based on Entropy-weighting TOPSIS
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摘要: 为了解决车刀刀片的几何参数优选问题,提高加工质量和加工效率,提出了基于熵权逼近理想解排序(Technique for order preference by similarity to ideal solution,TOPSIS)的车刀刀片几何参数优选方法。该方法利用TOPSIS决策模型,结合有限元数值分析技术,综合考虑车削加工过程中的刀片磨损、切削力、刀屑接触温度及接触应力等多个结果指标,对刀片形状、后角、刀尖半径进行正交试验方案设计,采用DEFORM-3D分析得到不同方案下的指标值;利用熵权确定加权因子,构建加权归一化矩阵,确定各方案序列到理想解的距离,获得各方案的相对接近度。最后,根据各因子各水平对排序结果的影响程度,确定优化的刀片几何参数组合。通过实例对硬质合金刀片几何参数进行了优化选择。计算结果表明了该方法的可行性和有效性。Abstract: In order to solve the multi-objective optimization problem of cutting insert geometric parameters and avoid the unsatisfactory processing effect in turning, an optimization decision method based on entropy-weight Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was proposed. By using TOPSIS model and finite element method, and considering the results such as wear depth, cutting force, tool-chip interface temperature and tool-chip interface pressure, the controllable factors of cutting insert shapes, relief angle, nose radius were planned for orthogonal experiment design, and the objective values were received by numerical analysis. Due to the determination of entropy weight coefficient, a weighted normalized matrix of multi-objective optimization was built. The distance between experiment design sequence and ideal solution was calculated to get relative approach degrees, and the existing schemes were ordered. According to the effects of each factor on the results, the optimal geometry parameter combination was determined. On this basis, the geometric parameters of cemented carbide inserts are provided by engineering practice and the results shows that the proposed method is valid and feasible.
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Key words:
- cutting inserts geometry /
- entropy weight /
- TOPSIS /
- numerical analysis
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[1] Tamizharasan T, Senthil Kumar N. Optimization of cutting insert geometry using deform-3d:numerical simulation and experimental validation[J]. International Journal of Simulation Modelling, 2012,11(2):65-76 [2] Tamizharasan T, Senthilkumar N. Numerical simulation of effects of machining parameters and tool geometry using DEFORM-3D:optimization and experimental validation[J]. World Journal of Modelling and Simulation, 2014,10(1):49-59 [3] 程耀楠.三维复杂槽型铣刀片槽型优化原理与优化技术的研究[D].哈尔滨:哈尔滨理工大学,2008 Cheng Y N. Study on groove optimization principle and technology of complex three-dimension grooves milling insert[D]. Harbin:Harbin University of Science and Technology, 2008(in Chinese) [4] 潘峰.自回转车刀切削仿真分析及实验研究[D].西安:西安理工大学,2009 Pan F. Research on self-rotary tool's cutting simulating and experiment[M]. Xi'an:Xi'an University of Science and Technology, 2009(in Chinese) [5] Yen Y C, Jain A, Altan T. A finite element analysis of orthogonal machining using different tool edge geometries[J]. Journal of Materials Processing Technology, 2004,146(1):72-81 [6] Zouhar J, Piska M. Modelling the orthogonal machining process using cutting tools with different geometry[J]. MM Science Journal, 2008,10:48-51 [7] Gurbuz H, Kurt A, Ciftci I, et al. The influence of chip breaker geometry on tool stresses in turning[J]. Strojniski Vestnik-Journal of Mechanical Engineering, 2011,57(2):91-99 [8] Qian L, Hossan M R. Effect on cutting force in turning hardened tool steels with cubic boron nitride inserts[J]. Journal of Materials Processing Technology, 2007,191(1-3):274-278 [9] Duan C Z, Dou T, Cai Y J, et al. Finite element simulation and experiment of chip formation process during high speed machining of AISI 1045 hardened steel[J]. International Journal of Recent Trends in Engineering, 2009,1(5):46-50 [10] 谢延敏,于沪平,陈军,等.基于灰色系统理论的方盒件拉深稳健设计[J].机械工程学报,2007,43(3):54-59 Xie T M, Yu H P, Chen J, et al. Application of grey theory in deep drawing robust design[J]. Chinese Journal of Mechanical Engineering, 2007,43(3):54-59(in Chinese) [11] 彭茂林,杨自春,曹跃云,等.涡轮叶片低周疲劳可靠性稳健设计优化研究[J].中国电机工程学报,2013,33(11):104-111 Peng M L, Yang Z C, Cao Y Y, et al. Research on low cycle fatigue reliability-based robust design optimization of turbine blade[J]. Proceedings of the CSEE, 2013,33(11):104-111(in Chinese) [12] 黄风立,林建平,钟美鹏,等.注塑成型工艺多目标稳健设计及优化算法[J].同济大学学报(自然科学版),2011,39(2):287-291,298 Huang F L, Lin J P, Zhong M P, et al. Multi-objective robust design and optimum algorithm in injection molding processing[J]. Journal of Tongji University Science (Natural Science), 2011,39(2):287-291,298(in Chinese) [13] 程锦,谭建荣,余加红.基于TOPSIS的注塑工艺参数多目标稳健优化设计[J].机械工程学报,2011,47(6):27-32 Cheng J, Tan J R, Yu J H. Multi-objective robust optimization of injection molding process parameters based on TOPSIS[J]. Journal of Mechanical Engineering, 2011,47(6):27-32(in Chinese) [14] 李金鹏,李武,岳超源,等.权重信息不完全的序数型多属性决策TOPSIS法[J].计算机集成制造系统,2013,19(6):1408-1413 Li J P, Li W, Yue C Y, et al. TOPSIS algorithm for ordinal multi-attribute decision making with incomplete weight information[J]. Computer Integrated Manufacturing System, 2013,19(6):1408-1413(in Chinese) [15] 杜彦斌,曹华军,刘飞,等.基于熵权与层次分析法的机床再制造方案综合评价[J].计算机集成制造系统,2011,17(1):84-88 Du Y B, Cao H J, Liu F, et al. Evaluation of machine tool remanufacturing scheme based on entropy weight and AHP[J]. Computer Integrated Manufacturing System, 2011,17(1):84-88(in Chinese) [16] 胡权威,乔立红,张洪伟.薄壁结构件铣削参数有限元正交优势分析及优化[J].机械工程学报,2013,49(21):176-184 Hu Q W, Qiao L H, Zhang H W. Optimization of thin-walled part milling parameters based on finite element and orthogonal dominance analysis[J]. Journal of Mechanical Engineering, 2013,49(21):176-184(in Chinese) [17] 罗蓬,胡侨丹,夏巨谌,等.车削过程的三维有限元数值模拟[J].华中科技大学学报(自然科学版),2006,34(4):89-92 Luo P, Hu Q D, Xia J C, et al. Three-dimensional finite element modeling of turning[J]. Journal of Huazhong University of Science & Technology (Nature Science Edition), 2006,34(4):89-92(in Chinese)
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