The tool life prediction related detailed review has been done in the present work considering flank wear as the main criteria of tool failure. Taylor's extended tool life equation has been considered for the prediction. The different cutting parameters are considered and varied for optimization of tool life and to find the dominant affecting parameter amongst them. Different methods and approaches like Taguchi method, regression analyses have been considered here for tool life prediction. The areas for further required research of most optimized methods for tool life prediction with maximum accuracy have been discussed towards the end

Shivprakash Bhagwatrao Barve

School of Mechanical Engineering

Engineering and Technology

Prachit Kamble

Samruddha Kulkarni

Sheetal Marathe

Upul Kamble

MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

International Journal for Research in Engineering Application & Management (IJREAM)

International Journal of Modern Trends in Engineering & Research

Setting of Optimal Parameters for the Multiple Performance Characteristics in Turning of EN8 Steel

In any metal cutting operation the features of tools, input work materials, machine parameter settings will influence the process efficiency and output quality characteristics. A significant improvement in process efficiency may be obtained by process parameter optimization that identifies and determines the regions of critical process control factors leading to desired outputs or responses with acceptable variations ensuring a lower cost of manufacturing. For turning process, the cutting conditions i.e. Speed, Feed and Depth of cut plays an important role in the efficient use of a machine tool. In order to determine the optimum cutting conditions, one has to estimate the tool life and cutting forces with a reasonable degree of accuracy since many of the constraints those are applying on a process are influenced by these parameters. For a practical machining situation, since no adequate machining theory is available to predict the tool life and cutting forces, one is compelled to rely on empirical equations to predict these parameters. However, these empirical equations involve a number of constants which are not readily available. Hence this Paper proposes an alternative approach to determine the optimal process parameters used to predict cutting forces, tool life and surface finish. © 2014 Published by Elsevier Ltd.

Fulltext

Procedia Engineering

Analysis of Tool Life during Turning Operation by Determining Optimal Process Parameters

Parametric Optimization on Multi-Objective Precision Turning Using Grey Relational Analysis

International Journal of Machine Tools and Manufacture

Wear and tool life of tungsten carbide, PCBN and PCD cutting tools

Tool life determination based on the measurement of wear and tool force ratio variation

Review of Tool Life Optimization Methods and their Effectiveness for Turning Inserts

Journal	International Journal for Research in Engineering Application & Management (IJREAM)
Publisher	IJREAM
Open Access	0