A machine tool utilisation rate can be improved by an advanced condition monitoring system using modern sensor and signal processing techniques. A drilling test and analysis program for indirect tool wear measurement forms the basis of this thesis. For monitoring the drill wear a number of monitoring methods such as vibration, acoustic emission, sound, spindle power and axial force were tested....

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...

A R T I C L E I N F O AISI D2 steel, Tool wear, Workpiece surface temperature, Taguchi method, Regression analysis. Received 19 July 2012 Accepted 29 August 2012 Available online 31 December 2012 Now-a-days increasing the productivity and the quality of the machined parts are the main challenges of metal cutting industry during turning processes. Optimization methods in turning processes, consi...

Electric Discharge Machining is a non-conventional machining process, used to machining difficult to machine materials. The major problem faced while doing EDM is high tool wear rate, end wear, corner wear , surface roughness and low material removal rate,. In this research work experimental investigations have been made to find the machining characteristics of high density ultra fine graphite ...

This Study about output parameter of Non Traditional machining, i.e., Which are not used conventionally like Electrical Discharge Machining (EDM) is a machining method primarily used for hard metals or those that would be very difficult to machine with traditional techniques, here it is used for cryogenically treated work piece. In simple terms, EDM is a manufacturing process whereby a desired ...

The health status evolving from normal to broken condition of wear tool are needed as an object of assessment in condition-based maintenance (CBM). This paper proposes a continuous Hidden Markov Models (CHMM) to assess the status of the wear tool online based on the normal dataset in the same case. A waveletpackets technology is used to feature extraction and the CHMM is trained by Baum-Welch a...

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...

The integrity of machining tools is important to maintain a high level of surface quality. The wear of the tool can lead to poor surface quality of the workpiece and even to damage of the machine. Furthermore, in some applications such as aeronautics and precision engineering, it is preferable to change the tool earlier rather than to loose the workpiece because of its high price compared to th...

Hard turning is the latest technology and is used to turn hard materials by using cutting tools like CBN and PCBN. Certain hard materials like titanium, Inconel and stainless steel are pronounced as difficult to cut materials. The superior cutting tools effectively machine such hard materials and produces desirable surface roughness with less tool wear. The present research was carried on hard ...

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...