Investigation and optimization of parameters in face milling of S50C steel under MQL system

This paper aims to investigate cutting and lubrication parameters on surface roughness, force, material removal rate in face milling of JIS S50C carbon steel under a peanut oil-assisted Minimum Quantity Lubricant system. The five 3-level process were considered variants, including speed, feed rate, depth cut, air pressure, flow. experimental design was based Taguchi's orthogonal array L27. Analysis variance is used analyze the effect conditions roughness force. In addition, both regression optimizer procedures models Multi-Criteria Decision Making method successfully applied find optimum parameter. results showed advantage disadvantages each technique. Multi-Objective Optimization by Ratio finding best alternative. However, these values may not be an condition. Mathematically, better determine optimal value.