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在加工中硬钢时实施基于新型TOPSIS-正弦余弦算法的混合优化。

Implementing a novel TOPSIS-sine cosine algorithm-based hybrid optimization in machining medium-hardened steel.

作者信息

Kumar Ramanuj, Rafighi Mohammad, İynen Oğur, Reddy M Prem Kumar, Zade Shrikant, Özdemir Mustafa, Pandey Anish, Singh Ramanpreet

机构信息

School of Mechanical Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to Be University, Bhubaneswar, Odisha, 751024, India.

Department of Mechanical Engineering, Başkent University, Ankara, 06490, Türkiye.

出版信息

Sci Rep. 2025 Jul 2;15(1):22740. doi: 10.1038/s41598-025-07542-0.

DOI:10.1038/s41598-025-07542-0
PMID:40596228
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12219525/
Abstract

Machining medium-hardened steel is particularly challenging because of its high strength and wear resistance, which generate excessive cutting temperatures. The elevated temperature contributes to rapid tool wear and negatively impacts surface quality. Optimizing tool selection, coating composition, geometry, and process variables is crucial for enhancing machinability. This study applied a novel hybrid TOPSIS-sine cosine algorithm to evaluate the performance of three chemical vapor deposited (CVD)-coated carbide cutting inserts in turning medium-hard AISI 4340 grade steel, considering the depth of cut (a), cutting speed (V), feed (f) and workpiece hardness as input variables. Experimentally obtained machining responses, namely resultant force (Fr), power consumption (Pc), surface roughness (Ra), and sound level (SL), were analyzed and compared to determine the optimum insert type. Insert type-3 (TiCN-Al2O3-TiN) demonstrated superior performance, achieving a 16.68% and 26.74% lower Ra than insert type-1 and type-2, respectively. Moreover, the optimal parameters for the most favorable insert (type-3) are determined as H = 30 HRC, V = 190 m/min, f = 0.1 mm/rev, and a = 0.2 mm. Workpiece hardness (H) emerged as the most influential factor affecting machining outcomes. This research recommended insert type-3 at optimized cutting conditions to improve machinability and sustainability in turning medium-hard AISI 4340 grade steel.

摘要

加工中等硬度的钢材极具挑战性，因为其高强度和耐磨性会产生过高的切削温度。温度升高会导致刀具快速磨损，并对表面质量产生负面影响。优化刀具选择、涂层成分、几何形状和工艺变量对于提高可加工性至关重要。本研究应用一种新颖的混合TOPSIS-正弦余弦算法，以切削深度（a）、切削速度（V）、进给量（f）和工件硬度作为输入变量，评估三种化学气相沉积（CVD）涂层硬质合金切削刀片在车削中等硬度AISI 4340钢时的性能。对实验获得的加工响应，即合力（Fr）、功耗（Pc）、表面粗糙度（Ra）和声级（SL）进行分析和比较，以确定最佳刀片类型。刀片类型3（TiCN-Al2O3-TiN）表现出卓越的性能，其Ra分别比刀片类型1和类型2低16.68%和26.74%。此外，最有利刀片（类型3）的最佳参数确定为H = 30 HRC、V = 190 m/min、f = 0.1 mm/rev和a = 0.2 mm。工件硬度（H）是影响加工结果的最具影响力因素。本研究建议在优化的切削条件下使用刀片类型3，以提高车削中等硬度AISI 4340钢时的可加工性和可持续性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f1c/12219525/445d6c789422/41598_2025_7542_Fig9_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f1c/12219525/74778144703c/41598_2025_7542_Fig4_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f1c/12219525/efbae491befc/41598_2025_7542_Fig6a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f1c/12219525/6038a1780070/41598_2025_7542_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f1c/12219525/2e552cd24e25/41598_2025_7542_Fig8_HTML.jpg
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