Optimization of machining parameters while turning AISI316 stainless steel using response surface methodology

Area of Science:

• Materials Science and Engineering
• Manufacturing Processes
• Tribology

Background:

• AISI 316 Stainless Steel is a widely used alloy in demanding industries due to its superior corrosion resistance and mechanical properties.
• Machining parameter optimization for AISI 316 is challenging, impacting efficiency and product quality.
• Understanding the influence of machining parameters on performance metrics is vital for industrial applications.

Purpose of the Study:

• To determine the optimal machining parameters for AISI 316 Stainless Steel.
• To investigate the effects of cutting velocity, feed, and depth of cut on cutting force, surface roughness, power consumption, and tool life.
• To establish a predictive model for machining performance.

Main Methods:

• Experimental design using the Box-Behnken technique with an L12 array.
• Response Surface Methodology (RSM) to analyze parameter effects.
• Analysis of Variance (ANOVA) to assess the significance of factors.

Main Results:

• Cutting force and surface roughness increase linearly with feed rate.
• Power consumption and tool life increase linearly with cutting velocity.
• Optimal parameters identified: 122.37 mm/min cutting velocity, 0.13176 mm/rev feed, and 0.213337 mm depth of cut.

Conclusions:

• The study successfully identified optimal machining parameters for AISI 316 Stainless Steel.
• The findings provide a basis for improving machining efficiency and product quality.
• The established relationships between parameters and responses can guide future manufacturing decisions.