Minimum Quantity Lubrication System for Metal-Cutting Process: Sustainable Manufacturing Process

被引:6
作者
Junankar, Anup A. [1 ]
Purohit, Jayant K. [1 ]
Sayed, Aamir R. [1 ]
机构
[1] Poornima Univ, Jaipur, Rajasthan, India
关键词
Minimum quantity lubrication; Metal-cutting process; Sustainable Manufacturing; ARTIFICIAL NEURAL-NETWORK; HIGH-PRESSURE COOLANT; SURFACE-ROUGHNESS; TOOL WEAR; PERFORMANCE EVALUATION; TURNING OPERATIONS; PROCESS PARAMETERS; RESPONSE-SURFACE; STAINLESS-STEEL; MQL;
D O I
10.1016/j.matpr.2019.07.549
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The purpose of this paper is to deliver a review of the implementation of the minimum quantity lubrication (MQL) system for manufacturing method, centring on the application of the MQL during the metal-cutting of workpiece. The application of MQL system was implemented & studied by various eminent investigators in last two decades. Thus, in this paper, experimental investigations of prior research work were discussed and analysed to light on review with significant facts for investigators and industries to optimize the metal-cutting process. During metal-cutting process, previous investigators considered three independent parameters like cutting speed, depth of cut and feed rate. Out of these parameters, feed rate was found to be most influencing parameter for response variables. But, for specific metal-cutting operation specific types of feed rate is required. Hence, the selection of optimum value & type of feed rate for specific machining operation is yet to investigated. This paper explored an evaluation of industry-socio based trial and error approaches and propose scope for improvement from both an economic and an environmental viewpoint. This paper delivers an outline of formerly conducted analysis to propose zones of enhancement in metal-cutting process employing minimum quantity lubrication system. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:5264 / 5269
页数:6
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