Parametric optimization of dry turning for improved machining of duplex stainless steel (DSS2205) using response surface methodology (RSM) and design of experiments (DOE)
Duplex materials, which have a unique combination of characteristics derived from austenitic and ferritic steel, show excellent hardness and toughness. However, this particular composition also makes machining difficult. This study aims at conducting a detailed parametric investigation on dry turnin...
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Published in | Sadhana (Bangalore) Vol. 50; no. 1 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New Delhi
Springer India
19.12.2024
Springer Nature B.V |
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Abstract | Duplex materials, which have a unique combination of characteristics derived from austenitic and ferritic steel, show excellent hardness and toughness. However, this particular composition also makes machining difficult. This study aims at conducting a detailed parametric investigation on dry turning operations using CNC for duplex stainless steel (DSS 2205). Specifically, it focuses on critical cutting variables like machining velocity, feed rate and depth of cut. Response surface method (RSM) is utilized by the researchers to optimize these variables while taking into account important factors like MRR, wear of tool and roughness of surface. Through a carefully planned series of dry turning experiments involving different cutting parameters on DSS 2205, this work identifies optimum values for specific responses during machining processes. The optimized cutting conditions include a cutting velocity of 100 m/min or spindle speed of 1178 rpm, feed rate of 282.72 mm/min (or 0.24 mm/revolution) and depth of cut (DOC) of 1.5 mm. This optimization approach significantly contributes towards enhancing overall performance by addressing the intrinsic challenges associated with its unique composition that make it difficult to machine effectively. |
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AbstractList | Duplex materials, which have a unique combination of characteristics derived from austenitic and ferritic steel, show excellent hardness and toughness. However, this particular composition also makes machining difficult. This study aims at conducting a detailed parametric investigation on dry turning operations using CNC for duplex stainless steel (DSS 2205). Specifically, it focuses on critical cutting variables like machining velocity, feed rate and depth of cut. Response surface method (RSM) is utilized by the researchers to optimize these variables while taking into account important factors like MRR, wear of tool and roughness of surface. Through a carefully planned series of dry turning experiments involving different cutting parameters on DSS 2205, this work identifies optimum values for specific responses during machining processes. The optimized cutting conditions include a cutting velocity of 100 m/min or spindle speed of 1178 rpm, feed rate of 282.72 mm/min (or 0.24 mm/revolution) and depth of cut (DOC) of 1.5 mm. This optimization approach significantly contributes towards enhancing overall performance by addressing the intrinsic challenges associated with its unique composition that make it difficult to machine effectively. |
ArticleNumber | 2 |
Author | Shukla, Rajendra Kumar Sahu, Neelesh Kumar Thakur, Rahul |
Author_xml | – sequence: 1 givenname: Rahul orcidid: 0000-0001-6170-0359 surname: Thakur fullname: Thakur, Rahul email: rahul.thakur01@medicaps.ac.in organization: Mechanical Engineering Department, Medi-Caps University – sequence: 2 givenname: Neelesh Kumar surname: Sahu fullname: Sahu, Neelesh Kumar organization: Mechanical Engineering Department, Medi-Caps University, Department of Robotics and Artificial Intelligence, Gyan Ganga Institute of Technology and Science – sequence: 3 givenname: Rajendra Kumar surname: Shukla fullname: Shukla, Rajendra Kumar organization: Mechanical Engineering Department, Medi-Caps University |
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Copyright | Indian Academy of Sciences 2024 Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Copyright Springer Nature B.V. 2024 |
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SubjectTerms | Austenitic stainless steels Composition effects Cutting parameters Cutting wear Design of experiments Duplex stainless steels Engineering Feed rate Ferritic stainless steels Optimization Parameter identification Response surface methodology Stainless steel Turning (machining) |
Title | Parametric optimization of dry turning for improved machining of duplex stainless steel (DSS2205) using response surface methodology (RSM) and design of experiments (DOE) |
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