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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
PubMed
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.

Keywords:
ANOVATaguchi L16 orthogonal arrayincremental sheet formingresponse surface methodologysurface finishsurface roughness

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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.