Course Subjects

• Statistical techniques used in experimentation
• Taguchi methodology (System design, Parametric design and Tolerance design).
• Taguchi approach to quality and Quality loss function
• Steps invloved in Taguchi method (Identification test conditions, selected factors and their levels, Conducting matrix experiment, and Confirmation tests)
• Selection orthogonal array types (L8, L9, L16 etc.)
• SNR calculation and theoretical analysis
• ANOVA analysis (Standard L8 OA, L9)
• Full/Partial factorial analysis (L16, L18, L27, L36)
• Regresion analysis
• Why do we use which method?

*Factorial design-Option 1

*Taguchi method-Option 2

*Random design-Option 3

• Case studies for different engineering areas:

Case study-1   Hardness results

Case study-2   Surface roughness evaluation

Case study-3  Wear rate results