• Kumar Abhishek
• Ketul Kumar Patel,
• Prarup Sahu
• Dileep Kumar Gupta,
• Soni Kumari

The present work suggests an extended multi-objective optimization philosophy applied during CNC End Milling of Al-7075 T6. Design of Experiment (DOE) has been chosen based on Taguchi’s L16 orthogonal array design with varying machining variables like spindle speed, feed rate, axial depth of cut, and diameter of the tool. Surface roughness of the machined part along with Material Removal Rate (MRR) of the machining process have been optimized simultaneously. A Grey relation analysis (GRA) integrated with Teaching learning based optimization (TLBO) has been proposed for obtaining the optimum machining condition.

Al-7075 T6, End Milling, Grey relation analysis (GRA), Teaching learning based optimization (TLBO).

"A GREY-TLBO BASED HYBRID APPROACH FOR PARAMETRIC APPRAISAL IN END MILLING OF AL-7075 T6 ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.637-641, March-2019, Available :http://www.jetir.org/papers/JETIR1903891.pdf

"A GREY-TLBO BASED HYBRID APPROACH FOR PARAMETRIC APPRAISAL IN END MILLING OF AL-7075 T6 ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp637-641, March-2019, Available at : http://www.jetir.org/papers/JETIR1903891.pdf