Author : Shakeel 1
Date of Publication :5th September 2019
Abstract: The machining processes is commonly used by manufacturing industries in order to produce precision component and very intricate products in a short time. The selection of the process parameter for optimizing and evaluate the results in machining operation is a very difficult task so here we select the some important parameter for optimizing the results and improve the efficiency. The process parameter are namely surface roughness, tolerance and cutting parameter like as cutting speed and dept of cut and feed rate and other parameter on Hytech CNC lathe machine which is to be taken for the study. This present work is carried out on turning process parameter on Hyper CNC lathe by using Taguchi method. The main objective of the present paper is to build a model to facilitate optimization problems in manufacturing processes. Due to improvement in the machining processes, a special concentration has been given on the life of a tool. To achieve that, the best way is to coat the tool with PVD and CVD techniques. By doing so an optimized machining condition under coated tool can be obtained to improvise the output parameters like tool life, surface finish etc. This paper provides literature review on machining parameters, such as cutting speed (Vc), feed (f) and depth of cut (t), and surface roughness and close tolerances of different material. This paper reviews the optimization of cutting parameters for surface roughness in the turning process. Surface roughness is one of the most commonly used criteria to determine quality and smoothness, tolerances of a turned surface. Taguchi method is a powerful tool to design optimization for quality. It is used to find the optimal cutting parameters such as cutting speed, feed rate, depth of cut and nose radius as the overall cost can be reduced. This paper gives some background of optimization technique applied to various turning processes for improving surface roughness.
- Brewer, R. C. & Rueda, R., 1963, a simplified approach to the optimum selection of machining parameters. Eng. Dig. Vol. 24 (9), 133-150.
- Wu V 1982 Off-line quality control: Japanese quality engineering (Dearborn, MI: American Supplier Institute).
- Ghosh S., 1990, Statistical design and analysis of industrial experiments, New York: Marcel Dekker.
- Agapiou, J. S., 1992, The optimization of machining operations based on a combined criterion, Part 1: The use of combined objectives in single-pass operations, Part 2: Multipass operations. J. Eng. Ind., Trans. ASME 114: 500–513.
- Juang, S.C. and Tarng, Y.S.(2002), “Process parameter selection for optimizing the weld pool geometry in the tungsten inert gas welding of stainless steel” (Journal of Materials Processing Technology 122, 2002)). pp. 33-37.
- Benardos, P.G. & Vosniakos(2002) G.C., Prediction of surface roughness in CNC face milling using neural networks and Taguchi’s design of experiments, Robotics and computer integrated manufacturing, vol. 18 , 343-354.
- Dhavlikar, M.N., Kulkarni, M.S. & Mariappan, V., 2003, Combined Taguchi and dual response method for optimization of a centerless grinding operation, Journal of Materials Processing Technology, vol. 132, 90-94.