Multi-Response Optimization of Face Milling Performance Considering Tool Path Strategies in Machining of Al-2024

被引:25
作者
Abd Ali, Raneen [1 ]
Mia, Mozammel [2 ]
Khan, Aqib Mashood [1 ]
Chen, Wenliang [1 ]
Gupta, Munish Kumar [3 ]
Pruncu, Catalin Iulian [4 ,5 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Mech & Elect Engn, Nanjing 210016, Jiangsu, Peoples R China
[2] Ahsanullah Univ Sci & Technol, Mech & Prod Engn, Dhaka 1208, Bangladesh
[3] Chandigarh Univ, Univ Ctr Res & Dev, Gharuan 140413, Punjab, India
[4] Imperial Coll London, Mech Engn, Exhibit Rd, London SW7 2AZ, England
[5] Univ Birmingham, Sch Engn, Mech Engn, Birmingham B15 2TT, W Midlands, England
基金
中国国家自然科学基金;
关键词
face milling; surface roughness; grey relation analysis; tool path strategy; multi-objective optimization; GREY RELATIONAL ANALYSIS; MATERIAL REMOVAL RATE; SURFACE-ROUGHNESS; CUTTING PARAMETERS; TAGUCHI; SELECTION; DIRECTION; DESIGN; STEEL; WEAR;
D O I
10.3390/ma12071013
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
It is hypothesized that the orientation of tool maneuvering in the milling process defines the quality of machining. In that respect, here, the influence of different path strategies of the tool in face milling is investigated, and subsequently, the best strategy is identified following systematic optimization. The surface roughness, material removal rate and cutting time are considered as key responses, whereas the cutting speed, feed rate and depth of cut were considered as inputs (quantitative factors) beside the tool path strategy (qualitative factor) for the material Al 2024 with a torus end mill. The experimental plan, i.e., 27 runs were determined by using the Taguchi design approach. In addition, the analysis of variance is conducted to statistically identify the effects of parameters. The optimal values of process parameters have been evaluated based on Taguchi-grey relational analysis, and the reliability of this analysis has been verified with the confirmation test. It was found that the tool path strategy has a significant influence on the end outcomes of face milling. As such, the surface topography respective to different cutter path strategies and the optimal cutting strategy is discussed in detail.
引用
收藏
页数:19
相关论文
共 44 条
[21]   Multi-objective optimization of surface roughness, thrust force, and torque produced by novel drill geometries using Taguchi-based GRA [J].
Meral, Guven ;
Sarikaya, Murat ;
Mia, Mozammel ;
Dilipak, Hakan ;
Seker, Ulvi ;
Gupta, Munish K. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 101 (5-8) :1595-1610
[22]   Multi-response optimization of end milling parameters under through-tool cryogenic cooling condition [J].
Mia, Mozammel .
MEASUREMENT, 2017, 111 :134-145
[23]   Analysis and Verification of Surface Roughness Constitution Model After Machining Process [J].
Miko, Edward ;
Nowakowski, Lukasz .
XIIITH INTERNATIONAL SCIENTIFIC AND ENGINEERING CONFERENCE HERMETIC SEALING, VIBRATION RELIABILITY AND ECOLOGICAL SAFETY OF PUMP AND COMPRESSOR MACHINERY-HERVICON-2011, 2012, 39 :395-404
[24]   Influence of tool path strategy on the cycle time of high-speed milling [J].
Monreal, M ;
Rodriguez, CA .
COMPUTER-AIDED DESIGN, 2003, 35 (04) :395-401
[25]   Multi-objective optimization of surface roughness and cutting forces in high-speed turning of Inconel 718 using Taguchi grey relational analysis (TGRA) [J].
Pawade, Raju Shrihari ;
Joshi, Suhas S. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2011, 56 (1-4) :47-62
[26]   Optimisation of multiple response characteristics on end milling of aluminium alloy using Taguchi-Grey relational approach [J].
Pillai, Jayakrishnan Unnikrishna ;
Sanghrajka, Ikshit ;
Shunmugavel, Manikandakumar ;
Muthuramalingam, T. ;
Goldberg, Moshe ;
Littlefair, Guy .
MEASUREMENT, 2018, 124 :291-298
[27]   Cutting Force and Surface Finish Analysis of Machining Additive Manufactured Titanium Alloy Ti-6Al-4V [J].
Polishetty, Ashwin ;
Shunmugavel, Manikanda ;
Goldberg, Moshe ;
Littlefair, Guy ;
Singh, Raj Kumar .
INTERNATIONAL CONFERENCE ON SUSTAINABLE MATERIALS PROCESSING AND MANUFACTURING (SMPM 2017), 2016, 7 :284-289
[28]   Optimal selection of machining direction for three-axis milling of sculptured parts [J].
Quinsat, Y ;
Sabourin, L .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2006, 27 (11-12) :1132-1139
[29]   Experimental investigation of machinability characteristics and multi-response optimization of end milling in aluminium composites using RSM based grey relational analysis [J].
Rajeswari, B. ;
Amirthagadeswaran, K. S. .
MEASUREMENT, 2017, 105 :78-86
[30]   The influence of finishing milling strategies on texture, roughness and dimensional deviations on the machining of complex surfaces [J].
Ramos, AM ;
Relvas, C ;
Simoes, JA .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2003, 136 (1-3) :209-216