Investigation of CNC Lathe Machining Parameters for AMS 5643 using Taguchi-RSM with CAM Simulation Approach

被引:0
作者
Ismartaya, Kristian [1 ]
Limanta, Dimitri Manggala [2 ]
Nugraha, Aditya [2 ]
Sukwadi, Ronald [3 ]
Yang, Ching-Chow [4 ]
机构
[1] Duta Wacana Christian Univ, Prod Design, Yogyakarta, Indonesia
[2] Polytech ATMI Surakarta, Manufacture Technol Engn, Surakarta, Indonesia
[3] Atma Jaya Catholic Univ Indonesia, Fac Engn, Jl Jenderal Sudirman 51, Jakarta 12930, Indonesia
[4] Chung Yuan Christian Univ, Ind & Syst Engn, Taoyuan, Taiwan
关键词
Aerospace component; AMS; 5643; CAM simulation; Optimization; Taguchi-RSM; TURNING PROCESS; OPTIMIZATION; STEEL; TIME;
D O I
10.24425/mper.2025.153931
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Aerospace components use AMS 5643 stainless steel as a raw material. Material toughness and hardness are challenges in the roughing machining process on CNC lathes. We designed experiments combining Taguchi-Response Surface Method to optimize multi-response: cycle time, material removal rate, and cutting power. This study uses CAM Espirit TNG and Celos Tech software simulations as an experimental approach. Confirmation test results show that changing process parameters in simulation software is able to produce a response that is close to reality. This research succeeded in identifying the contribution of machining process factors and finding parameters with optimal multi-response.
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页数:13
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共 39 条
[11]   Impact of the laser scanning strategy on the quality of 17-4PH stainless steel parts manufactured by selective laser melting [J].
Giganto, Sara ;
Martinez-Pellitero, Susana ;
Barreiro, Joaquin ;
Leo, Paola ;
Castro-Sastre, Ma Angeles .
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2022, 20 :2734-2747
[12]   Experimental Investigation of Machining Time and Optimization of Machining Parameters Using RSM and Genetic Algorithm on 2205 - Duplex Stainless Steel [J].
Gopal, Mahesh ;
Gutema, Endalkachew Mosisa ;
Solomon, Yigrem .
INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH IN AFRICA, 2022, 60 :1-13
[13]  
Gupta Kapil, 2022, Key Engineering Materials, V910, P411, DOI 10.4028/p-3w62bv
[14]   Grey relational analysis for optimal process variables during turning on CNC lathe [J].
Gupta, Pankaj ;
Singh, Bhagat ;
Shrivastava, Yogesh .
MATERIALS TODAY-PROCEEDINGS, 2022, 51 :228-233
[15]  
Hoesen Y.A., 2024, Eng. Proc., V63, P20, DOI [10.3390/engproc2024063020, DOI 10.3390/ENGPROC2024063020]
[16]   Experimental investigation of SC108 clamping components hardening parameter based on AISI 4140 steel to distortion minimization [J].
Ismartaya, Kristian ;
Purnomo, Roberts ;
Bawono, Baju ;
Anggoro, Paulus Wisnu .
COGENT ENGINEERING, 2023, 10 (01)
[17]  
Karim Md Rezaul, 2020, Advanced Materials Research, V1158, P115, DOI 10.4028/www.scientific.net/AMR.1158.115
[18]   Additive Manufacturing of 17-4PH Alloy: Tailoring the Printing Orientation for Enhanced Aerospace Application Performance [J].
Kovacs, Sandor Endre ;
Miko, Tamas ;
Troiani, Enrico ;
Markatos, Dionysios ;
Petho, Daniel ;
Gergely, Greta ;
Varga, Laszlo ;
Gacsi, Zoltan .
AEROSPACE, 2023, 10 (07)
[19]   Self-lubrication of porous metal injection molded (MIM) 17-4PH stainless steel by impregnated paraffin wax [J].
Kultamaa, Matti ;
Monkkonen, Kari ;
Saarinen, Jarkko J. ;
Suvanto, Mika .
TRIBOLOGY INTERNATIONAL, 2022, 174
[20]   Effect of heat treatment on microstructure and mechanical properties of 17-4PH stainless steel manufactured by laser-powder bed fusion [J].
Li, Cong ;
Chen, Yunlong ;
Zhang, Xiaoyong ;
Liu, Tingting ;
Peng, Yong ;
Wang, Kehong .
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2023, 26 :5707-5715