Prediction of Optimum Cutting Conditions in Dry Turning Operations of S45C Mild Steel using AIS and PSO Intelligent Algorithm

• Main Authors: Minhat, Mohamad, Abd Rahman, Md Nizam, Abbas, Adnan Jameel
• Format: Conference or Workshop Item
• Language: English
• Published: 2014
• Subjects: TJ Mechanical engineering and machinery; TS Manufactures
• Online Access: http://eprints.utem.edu.my/id/eprint/13546/1/Adnan_jameel_ISORIS14_CONFERENCE.pdf; http://eprints.utem.edu.my/id/eprint/13546/
• Institution: Universiti Teknikal Malaysia Melaka

This study presents an approach for modeling and predicting the cutting zone temperature, surface roughness and cutting time when dry turning S45C mild steel is used with SPG 422 tungsten carbide tools. The suggested system is based on Particle Swarm Optimization (PSO) and Artificial Immune Syste...