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Investigation of TiAlN, AlTiN, and TiAlSiN Coated Inserts on the Machining Performance of AISI 420 Steel and Multi-Objective Optimization of Process Parameters
https://orcid.org/http://orcid.org/0000-0002-6539-1466
The impact of cutting parameters on the SR of machined work piece and tool flank wear during machining of AISI 420 martensitic stainless steel is studied in the research study. PVD-CAE coated TiAlN, AlTiN, and TiAlSiN cutting tool inserts were employed for machining. The potential influence of cutting parameters was determined using analysis of variance. To optimise the process parameters influencing roughness and tool wear, Taguchi methodology based L9 orthogonal array was selected. A multi-objective optimization strategy based on grey relation and fuzzy control had been employed in this investigation. Grey relation analysis was used to improve the process parameters, which were then fuzzified using the Mamdani fuzzy engine. The parameter combination of speed 120 m/min, CD − 1.5 mm, F − 0.1 mm/rev and TiAlN coating was proven to be the best optimized setting.
Investigation of TiAlN, AlTiN, and TiAlSiN Coated Inserts on the Machining Performance of AISI 420 Steel and Multi-Objective Optimization of Process Parameters
https://orcid.org/http://orcid.org/0000-0002-6539-1466
The impact of cutting parameters on the SR of machined work piece and tool flank wear during machining of AISI 420 martensitic stainless steel is studied in the research study. PVD-CAE coated TiAlN, AlTiN, and TiAlSiN cutting tool inserts were employed for machining. The potential influence of cutting parameters was determined using analysis of variance. To optimise the process parameters influencing roughness and tool wear, Taguchi methodology based L9 orthogonal array was selected. A multi-objective optimization strategy based on grey relation and fuzzy control had been employed in this investigation. Grey relation analysis was used to improve the process parameters, which were then fuzzified using the Mamdani fuzzy engine. The parameter combination of speed 120 m/min, CD − 1.5 mm, F − 0.1 mm/rev and TiAlN coating was proven to be the best optimized setting.
Investigation of TiAlN, AlTiN, and TiAlSiN Coated Inserts on the Machining Performance of AISI 420 Steel and Multi-Objective Optimization of Process Parameters
https://orcid.org/http://orcid.org/0000-0002-6539-1466
The impact of cutting parameters on the SR of machined work piece and tool flank wear during machining of AISI 420 martensitic stainless steel is studied in the research study. PVD-CAE coated TiAlN, AlTiN, and TiAlSiN cutting tool inserts were employed for machining. The potential influence of cutting parameters was determined using analysis of variance. To optimise the process parameters influencing roughness and tool wear, Taguchi methodology based L9 orthogonal array was selected. A multi-objective optimization strategy based on grey relation and fuzzy control had been employed in this investigation. Grey relation analysis was used to improve the process parameters, which were then fuzzified using the Mamdani fuzzy engine. The parameter combination of speed 120 m/min, CD − 1.5 mm, F − 0.1 mm/rev and TiAlN coating was proven to be the best optimized setting.
Investigation of TiAlN, AlTiN, and TiAlSiN Coated Inserts on the Machining Performance of AISI 420 Steel and Multi-Objective Optimization of Process Parameters
J. Inst. Eng. India Ser. D
Chinnasamy, Moganapriya (Autor:in) / Rathanasamy, Rajasekar (Autor:in) / Palaniappan, Sathish Kumar (Autor:in) / Pal, Samir Kumar (Autor:in)
Journal of The Institution of Engineers (India): Series D ; 103 ; 563-573
01.12.2022
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Wear mechanisms and tool performance of TiAlN PVD coated inserts during machining of AISI 4140 steel
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