In this research work a series of tests were conducted in order to determine flank wear and cutting force FY on hard AISI 440 C martensitic stainless steel and SCM 440 alloy steels. The operating parameters are cutting speed, feed rate and a constant depth of cut to investigate the flank wear and cutting force. No cutting fluid was used during the turning process. The cutting tool used was CBN ...

This paper presents a new statistical-based method of tool life monitoring for turning process, called Integrated Kurtosis-based Algorithm for Z-filter Technique, I-kaz, which was based on statistical analysis. The I-kaz method calculates the related coefficient for the measured machining signals. The input data of the I-kaz was acoustic signal that was generated during machining process, which...

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 Karpat, Zeren and Özel [3] extended for worn tool case in order to study the effect of flank wear on the predictions. Work material co...

In the present work, two different types of artificial neural network (ANN) architectures viz. back propagation neural network (BPNN) and radial basis function network (RBFN) have been used in an attempt to predict flank wear in drills. Flank wear in drill depends upon speed, feed rate, drill diameter and hence these parameters along with other derived parameters such as thrust force, torque an...

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...