The objective of this paper is to determine the optimal setting of the process parameters on the electro-discharge machining (EDM) machine while machining AISI H13 tool steel. The parameters considered are pulse current, pulse-on-time, pulse-off-time and gap voltage ; whereas the responses are Tool wear ratio (TWR) and material removal rate (MRR). The optimal setting of the parameters are deter...

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...

As an important problem in forging factories, dies are destroyed because of high wear rate, plastic deformation and thermal and mechanical fatigue at high temperatures. This paper is an investigation into        the use of nickel super alloy with different welding parameters. Three weld overlaid alloys of inconel625, as wear resistance hardfacing materials on H13 tool steel, with different weld...

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...

Tool wear monitoring is crucial for an automated machining system to maintain consistent quality of machined parts and prevent damage to the parts during the machining operation. A vision-based approach is presented for tool wear identification in finish turning using an adaptive resonance theory (ART2) neural network embedded with fuzzy classifiers. The proposed approach is established upon th...

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...

Electric discharge machining (EDM) is a ‘newer technology utilized to machine hard metals, alloys, composites and ceramics. This paper reports the experimental investigation carried out on EDM to study the effects of machining parameters such as pulsed current on material removal rate, depth of cut, overcut, tool wear (net weight lost) and hardness on En-31 tool steel The work material was elec...

Electrical Discharge Machine (EDM) parameters have a significant influence on machining characteristic like material removal rate (MMR) and tool wear rate (TWR). Inconel 718, which is widely used in the Medical, Marine, Architectural and food processing industries, is used as a work material. The tool electrode materials used are brass. Experiments are conducted using face centered central comp...

The purpose of this research is to use the visual inspection technique for the automatic tool wear measurement of different coated drills. The tool wear images with the different coated drilling are captured using a machine vision system incorporating with an effective vertex detection algorithm based on subpixel edge detector and Gaussian filter is presented. The results show that the proposed...