Cutting tool wear is found to be the major cause affecting the finished product in term of surface finish quality, dimensional precision and the cost of the defect. This paper proposes the development of a reliable machine condition monitoring system by using a low-cost piezoelectric sensor to monitor the flank wear progression on the cutting tool. The wear of the cutting insert was measured an...

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...

Reliable tool wear monitoring system is one of the important aspects for achieving a self-adjusting manufacturing system. The original contribution of the research is the developed monitoring system that can detect tool breakage in real time by using a combination of neural decision system and ANFIS tool wear estimator. The principal presumption was that force signals contain the most useful in...

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...

In this paper, predictive modeling of cutting and ploughing forces, stress distributions on tool faces, and temperature distributions in the presence of tool flank wear are presented. The analytical and thermal modeling of orthogonal cutting that is introduced in Part I of the paper is extended for worn tool case in order to study the effect of flank wear on the predictions. Work material const...

17-4ph stainless steel is a martensitic precipitation hardening stainless steel that provides an outstandingcombination of high strength, good corrosion resistance, good mechanical properties, good toughness in both base metal and welds, and short time, low-temperature heat treatments that minimize warpage and scaling. this valuable alloy is widely used in the aerospace, nuclear, chemical, petr...

The wear of cutting tool degrades the quality of the product in the manufacturing processes. The on line monitoring of the cutting tool wear level is very necessary to prevent the deterioration of the quality of machining. Unfortunately there is not a direct manner to measure the cutting tool wear on line. Consequently we must adopt an indirect method where wear will be estimated from the measu...

17-4PH stainless steel is a martensitic precipitation hardening stainless steel that provides an outstanding combination of high strength, good corrosion resistance, good mechanical properties, good toughness in both base metal and welds, and short time, low-temperature heat treatments that minimize warpage and scaling. This valuable alloy is widely used in the aerospace, nuclear, chemical, pet...

artificial neural network is one of the most robust and reliable methods in online prediction of nonlinear incidents in machining. tool flank wear as a tool life criterion is an important task which is needed to be predicted during machining processes to establish an online tool life estimation system. in this study, an artificial neural network model was developed to predict the tool wear and ...

17-4PH stainless steel is a martensitic precipitation hardening stainless steel that provides an outstanding combination of high strength, good corrosion resistance, good mechanical properties, good toughness in both base metal and welds, and short time, low-temperature heat treatments that minimize warpage and scaling. This valuable alloy is widely used in the aerospace, nuclear, chemical, pet...