Performance Evaluation of Eco-friendly Cutting Fluid in Machining Process - An Approach towards Environmentally Friendly Production

被引:0
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作者
Manikanta, Javvadi Eswara [1 ,2 ]
Raju, B. Naga [3 ]
Prasad, Chitrada [4 ]
Gurajala, Naveen Kumar [5 ]
Battina, N. Malleswararao [2 ]
机构
[1] Andhra Univ, Trans Disciplinary Res Hub, Visakhapatnam, Andhra Pradesh, India
[2] Shri Vishnu Engn Coll Women A, Dept Mech Engn, Bhimavaram 534202, Andhra Pradesh, India
[3] Anil Neerukonda Inst Technol & Sci A, Dept Mech Engn, Visakhapatnam, Andhra Pradesh, India
[4] Aditya Coll Engn, Dept Phys, Surampalem, Andhra Pradesh, India
[5] CMR Coll Engn & Technol, Dept Mech Engn, Hyderabad, India
关键词
Eco friendly cutting fluids; Turning; Minimum Quantity Lubrication (MQL); Surface roughness; cutting force; Optimization; GREY RELATIONAL ANALYSIS; SURFACE-ROUGHNESS; PROCESS PARAMETERS; OPTIMIZATION; TAGUCHI; DESIGN; ALLOY;
D O I
暂无
中图分类号
O63 [高分子化学(高聚物)];
学科分类号
070305 ; 080501 ; 081704 ;
摘要
The machining industry's evolving environmental consciousness has prompted a growing demand for cutting fluids devoid of chlorine and sulphur, thus fostering sustainable machining practices. This surge in demand is driven by mounting apprehensions over environmental contamination and worker safety. As the industry transitions to modern cutting fluids, it becomes imperative to comprehend their effectiveness and the optimal machine parameters required for their deployment in the turning process. In our current study, we employ the Taguchi technique in conjunction with Grey Relational Analysis (GRA) to assess the efficacy of parameter optimization and its impact on the turning of SS 304 steel, utilizing non-toxic, biodegradable vegetable -based cutting fluids. Our investigation delves into the influence of various process variables, including cooling conditions (CC), cutting speed (Vc), feed rate (f), and depth of cut (a), on critical response parameters like Cutting Force (CF) and Surface Roughness (SR). This is accomplished through rigorous Analysis of Variance (ANOVA) to identify the parameters of significant influence. The study reveals that employing the Minimum Quantity Lubrication (MQL) method at a cutting speed of 1000 revolutions per minute, a feed rate of 90 mm/minute, and a 0.3 depth of cut leads to substantial enhancements in machining performance. The microstructure of the optimized sample is investigated through the use of a Scanning Electron Microscope. Optimally, MQL machining at Vc 1000 rpm, f 90 mm/min, and a 0.3 mm minimized CF. Additionally, the type of cutting coolant (CC), a, Vc, and f contributed 77.77%, 6.54%, 4.606%, and 2.328%, respectively, to CF reduction.
引用
收藏
页码:S149 / S160
页数:12
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