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

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Veröffentlicht in:Management and Production Engineering Review vol. 16, no. 1 (2025)
1. Verfasser: ISMARTAYA, Kristian
Weitere Verfasser: LIMANTA, Dimitri Manggala, NUGRAHA, Aditya, SUKWADI, Ronald, YANG, Ching-Chow
Veröffentlicht:
Polish Academy of Sciences
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022 |a 2082-1344 
035 |a 3180904789 
045 2 |b d20250101  |b d20250331 
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100 1 |a ISMARTAYA, Kristian 
245 1 |a Investigation of CNC Lathe Machining Parameters for AMS 5643 using Taguchi-RSM with CAM Simulation Approach 
260 |b Polish Academy of Sciences  |c 2025 
513 |a Journal Article 
520 3 |a 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. 
653 |a Response surface methodology 
653 |a Parameter identification 
653 |a Lathes 
653 |a Cycle time 
653 |a Raw materials 
653 |a Material removal rate (machining) 
653 |a Taguchi methods 
653 |a Stainless steels 
653 |a Software 
653 |a Process parameters 
653 |a Optimization 
653 |a Mechanical properties 
653 |a Simulation 
653 |a Process engineering 
653 |a Optimization techniques 
653 |a Design 
653 |a Aerospace industry 
653 |a Stainless steel 
653 |a Cutting tools 
653 |a Manufacturing 
653 |a Aerospace engineering 
653 |a Aerospace materials 
653 |a Energy consumption 
700 1 |a LIMANTA, Dimitri Manggala 
700 1 |a NUGRAHA, Aditya 
700 1 |a SUKWADI, Ronald 
700 1 |a YANG, Ching-Chow 
773 0 |t Management and Production Engineering Review  |g vol. 16, no. 1 (2025) 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3180904789/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3180904789/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch