Evaluation of the performance during hard turning of OHNS steel with minimal cutting fluid application and its comparison with minimum quantity lubrication

International Conference on Advances in Materials and Manufacturing Applications 2016

Raj, Anil^1 ; Wins, K. Leo Dev^1 ; Varadarajan, A.S.^2

Department of Mechanical Engg, Karunya University, Coimbatore, India^1

Nehru College of Engineering and Research Centre, Thrissur, Kerala, India^2

关键词: Application systems;    Cutting fluid application;    Cutting temperature;    Dry turning;    Manufacturing industries;    Minimal quantity lubrications;    Minimum quantity lubrication;    Production cost;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/149/1/012021/pdf
DOI  :  10.1088/1757-899X/149/1/012021

来源: IOP

【 摘 要 】

Cutting fluid application plays a significant role in the manufacturing industries that acts as a coolant as well as a lubricant. The conventional flood cooling application of cutting fluids not only increases the production cost on account of the expenses involved in procurement, storage and disposal but also creates serious environmental and health hazards. In order to overcome these negative effects, techniques like Minimum quantity lubrication (MQL) and Minimal Cutting fluid application (MCFA) have increasingly found their way into the area of metal cutting and have already been established as an alternative to conventional wet machining. This paper investigates the effect of minimal Cutting fluid application (MCFA) which involves application of high velocity pulsing jet of proprietary cutting fluids at the contact zones using a special fluid application system. During hard turning of oil hardened non shrinkable steel (OHNS) on cutting temperature and tool wear and to compare the performance with Minimum quantity lubrication (MQL) assisted hard turning in which cutting fluid is carried in a high velocity stream of air. An attempt was also made to compare the performance during Turning with MCFA and MQL application with conventional wet and dry turning by analysing the tool wear pattern using SEM images.