Multi-Criteria Selection of the Optimal Parameters for High-Speed Machining of Aluminum Alloy Al7075 Thin-Walled Parts

被引:26
|
作者
Lukic, Dejan [1 ]
Cep, Robert [2 ]
Vukman, Jovan [1 ]
Antic, Aco [1 ]
Djurdjev, Mica [3 ]
Milosevic, Mijodrag [1 ]
机构
[1] Univ Novi Sad, Fac Tech Sci, Dept Prod Engn, Novi Sad 21000, Serbia
[2] Tech Univ Ostrava, Fac Mech Engn, Dept Machining Assembly & Engn Metrol, Ostrava 70800, Czech Republic
[3] Univ Novi Sad, Tech Fac Mihajlo Pupin, Dept Mech Engn, Zrenjanin 23000, Serbia
关键词
thin-walled parts; aluminum alloy Al7075; high speed milling; optimization of machining parameters; MCDM methods; correlation analysis; DECISION-MAKING; SURFACE QUALITY; OPTIMIZATION; DEFORMATION; WORKPIECES; PREDICTION; STRESS; VIKOR;
D O I
10.3390/met10121570
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Thin-walled parts made of aluminum alloy are mostly used as structural elements in the aerospace, automobile, and military industries due to good homogeneity, corrosion resistance, and the excellent ratio between mechanical properties and mass. Manufacturing of these parts is mainly performed by removing a large volume of material, so it is necessary to choose quality machining parameters that will achieve high productivity and satisfactory quality and accuracy of machining. Using the Taguchi methodology, an experimental plan is created and realized. Based on its results and comparative analysis of multi-criteria decision making (MCDM) methods, optimal levels of machining parameters in high-speed milling of thin-walled parts made of aluminum alloy Al7075 are selected. The varying input parameters are wall thickness, cutting parameters, and tool path strategies. The output parameters are productivity, surface quality, dimensional accuracy, the accuracy of forms and surface position, representing the optimization criteria. Selection of the optimal machining parameter levels and their ranking is realized using 14 MCDM methods. Afterward, the obtained results are compared using correlation analysis. At the output, integrative decisions were made on selecting the optimal level and rank of alternative levels of machining parameters.
引用
收藏
页码:1 / 22
页数:22
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