Optimization of cutting parameters to reduce cutting tool temperature in a dry turning process using genetic algorithm

High cutting temperatures in dry turning processes increase tool wear and affect the quality of the work piece. This project presents the optimization of cutting parameters in a dry turning process in order to reduce the cutting temperature using mild steel as the work piece and carbide insert cutti...

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Bibliographic Details
Main Author: Muhammad Waseem
Format: Thesis
Published: 2014
Online Access:http://eprints.utem.edu.my/id/eprint/14720/1/Optimization%20Of%20Cutting%20Parameters%20To%20Reduce%20Cutting%20Tool%20Temperature%20In%20A%20Dry%20Turning%20Process%20Using%20Genetic%20Algorithm%2024pages.pdf
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