Optimization of Drilling Performance in Duplex Stainless Steel 2205 Using Taguchi Statistical Method and Genetic Algorithm

Strategic Insights -

Investigations into the drilling performance of duplex stainless steel 2205 under sustainable machining conditions have led to a significant breakthrough in mechanical engineering. Researchers from the Bhartiya Skill Development University have employed the Taguchi statistical method to establish a relationship between input parameters, such as cooling environment, spindle speed, and feed rate, and responses, including surface roughness (Ra) and hole deviation. The study aimed to optimize the process parameters for the drilling of duplex stainless steel 2205, resulting in improved surface quality and reduced hole deviation.

Key Takeaways:

  • The Taguchi statistical method was used to create a relationship between input parameters and responses, achieving a precision of 99.32% and 99.70% for Ra and hole deviation, respectively.
  • The genetic algorithm (GA) was implemented to find an optimum combination of process parameters, achieving an optimized value of responses, including Ra and hole deviation.
  • The cooling environment was found to be the most effective parameter in minimizing hole deviation and Ra.
  • The optimized process parameters included an LCO2 cooling environment, high spindle speed (1120 RPM), and low feed rate (0.02, 0.04 mm/rev).
  • The study concluded that the optimized value for Ra and hole deviation is 0.375271 and 0.0207519, respectively.

Statistics:

  • 99.32% precision was achieved for Ra using the Taguchi statistical method.
  • 99.70% precision was achieved for hole deviation using the Taguchi statistical method.
  • 0.375271 was the optimized value for Ra.
  • 0.0207519 was the optimized value for hole deviation.
  • 1120 RPM was the optimized spindle speed.
  • 0.02, 0.04 mm/rev was the optimized feed rate.

Sources:

  • Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 2025; 239(3): 1137-1144.
  • Sage Publications Ltd, 1 Olivers Yard, 55 City Road, London EC1Y 1SP, England.
  • Bhartiya Skill Development University, Sch Mfg Skills, Jaipur, India.