Optimization and Modeling of Process Parameters in Multi-Hole Simultaneous Drilling Using Taguchi Method and Fuzzy...

Area of Science:

• Manufacturing Engineering
• Materials Science

Background:

• Aerospace and automotive industries require precise hole drilling for structural assembly.
• Multi-spindle drilling with poly-drill heads enables simultaneous hole creation, crucial for efficiency.

Purpose of the Study:

• To optimize drilling parameters for one-shot and multi-hole drilling processes.
• To evaluate the impact of parameters on surface roughness and hole size.

Main Methods:

• Taguchi method for parameter optimization.
• Analysis of variance (ANOVA) and regression analysis for significance.
• Fuzzy logic for predictive modeling of surface roughness and hole size.

Main Results:

• Optimal drilling parameters identified at low cutting speed and feed rate using a poly-drill head.
• Fuzzy logic models demonstrated good agreement with experimental surface roughness and hole size data.
• Confirmation tests validated the effectiveness of Taguchi optimization and fuzzy models.

Conclusions:

• The study successfully optimized drilling parameters for improved precision in multi-spindle drilling.
• Fuzzy logic provides an effective tool for predicting surface roughness and hole size in these processes.