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Optimization of Forming Parameters in Incremental Sheet Forming of AA3003-H18 Sheets Using Taguchi Method
Mohanraj Murugesan1, Jae-Hyeong Yu2, Kyu-Seok Jung2
1Department of Mechanical System Design Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea.
Materials (Basel, Switzerland)
|February 25, 2022
Summary
Optimizing incremental sheet forming (ISF) using the Taguchi method reduces surface roughness. Key factors include vertical step size and feed rate for high-quality formed products.
Area of Science:
- Manufacturing Engineering
- Materials Science
Background:
- Surface finish is critical in incremental sheet forming (ISF).
- Numerous process parameters influence surface quality.
- Optimizing these parameters is essential for high-quality ISF products.
Purpose of the Study:
- To identify optimal forming parameters for improved surface finish in ISF.
- To investigate the influence of key parameters on surface roughness.
- To compare Taguchi method and Response Surface Methodology (RSM) for surface finish optimization.
Main Methods:
- Utilized Taguchi L16 orthogonal array for experimental design.
- Analyzed surface roughness using Analysis of Variance (ANOVA).
- Employed Response Surface Methodology (RSM) to develop a predictive model.
Main Results:
- Reduced surface roughness achieved by decreasing vertical step size and increasing feed rate.
- Vertical step size demonstrated the most significant impact on surface roughness.
- Optimal settings identified: forming tool radius (level 3), spindle speed (level 1), vertical step size (level 1), and feed rate (level 4).
Conclusions:
- The Taguchi method effectively determined optimal ISF parameters for superior surface finish.
- RSM provided a viable mathematical model for predicting surface roughness.
- Both methods confirmed their efficacy in enhancing surface quality in ISF.
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