Performance evaluation of Titanium nitride coated tool in turning of mild steel

International Conference on Recent Advances in Materials, Mechanical and Civil Engineering

材料科学;机械制造;土木建筑工程

Srinivas, B.^1 ; Kumar, G Pramod^1 ; Cheepu, Muralimohan^2 ; Jagadeesh, N.^1 ; Kumar, K Ravi^1 ; Haribabu, S.^3

Department of Mechanical Engineering, MVGR College of Engineering, Andhra Pradesh

535005, India^1

Department of Mechatronics Engineering, Kyungsung University, Busan

48434, Korea, Republic of^2

Department of Mechanical Engineering, Sri Venkatesa Perumal College of Engineering and Technology, Puttur

Andhra Pradesh

517583, India^3

关键词: Conventional coolants;    Cutting parameters;    Dimensional accuracy;    Geometric tolerance;    Machining operations;    Manufacturing industries;    Performance evaluations;    TiN coated carbide;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/330/1/012078/pdf
DOI  :  10.1088/1757-899X/330/1/012078

来源: IOP

【 摘 要 】

The growth in demand for bio-gradable materials is opened as a venue for using vegetable oils, coconut oils etc., as alternate to the conventional coolants for machining operations. At present in manufacturing industries the demand for surface quality is increasing rapidly along with dimensional accuracy and geometric tolerances. The present study is influence of cutting parameters on the surface roughness during the turning of mild steel with TiN coated carbide tool using groundnut oil and soluble oil as coolants. The results showed vegetable gave closer surface finish compares with soluble oil. Cutting parameters has been optimized with Taguchi technique. In this paper, the main objective is to optimize the cutting parameters and reduce surface roughness analogous to increase the tool life by apply the coating on the carbide inserts. The cost of the coating is more, but economically efficient than changing the tools frequently. The plots were generated and analysed to find the relationship between them which are confirmed by performing a comparison study between the predicted results and theoretical results.