The present study applied extended Taguchi method through a case study in straight turning of mild steel bar using HSS tool for the optimization of process param. The study aimed at evaluating the best process environment which could simultaneously satisfy requirements of both quality as well as productivity with special emphasis on reduction of cutting tool flank wear, because reduction in fla...

Productivity and quality in the finish turning of hardened steels can be improved by utilizing predicted performance of the cutting tools. This paper combines predictive machining approach with neural network modeling of tool flank wear in order to estimate performance of chamfered and honed Cubic Boron Nitride (CBN) tools for a variety of cutting conditions. Experimental work has been performe...

Recent work in modeling of the ploughing mechanism in basic metal machining may provide a means of estimating the additional forces to be expected when cutting with a worn tool. The results predict the rubbing stresses due to the finite radius of an unworn tool edge. Since an unworn tool can be thought of as a worn tool with a wear land width VB = 0, these stresses can make up part of a strateg...

Abstract. Tool wear sensing plays an important role in the optimisation of tool exchange and tip geometry compensation during automated machining in flexible manufacturing system. The focus of this work is to develop a reliable method to estimate flank wear during end milling process. A neural-fuzzy scheme is applied to perform one-step-ahead prediction of flank wear from cutting force signals ...

An optoelectronic method for in situ monitoring of the flank wear of cutting tools is presented. The method is based on real time vision technology in which the tool is illuminated by the beam of a laser and the wear zone is visualized using a Vidicon camera. The image is converted into digital pixel data and processed, to detect the wear land width. Detailed aspects of the image processing pro...

On time replacement of a cutting tool with a new one is an important task in Flexible Manufacturing Systems (FMS). A fuzzy logic-based approach was used in the present study to predict and simulate the tool wear progress in turning operation. Cutting parameters and cutting forces were considered as the input and the wear rate was regarded as the output data in the fuzzy logic for construct...

This work describes the optimization of cryogenic treatment (CT) parameters such as the cooling rate, the soaking temperature, the soaking time, the tempering temperature and the tempering time to maximise the tool wear of high speed steel tools in dry turning of AISI 316 grade austenitic stainless steels by Taguchi method. For this purpose, four iteration of Taguchi design (L16) have been used...

We report the development of a predictive model based on artificial neural network (ANN) for the estimation of flank and nose wear of uncoated carbide inserts during orthogonal turning of NST (Nigerian steel) 37.2. Turning experiments were conducted at different cutting conditions on a M300 Harrison lathe using Sandvic Coromant uncoated carbide inserts with ISO designations SNMA 120406 using fu...