Management of 3D Printing Processes: Enhancing Pick-and-Place Machine Quality with Taguchi and Principal Component Analysis

Authors

  • Chien-Yi Huang Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei, Taiwan
  • Ya-Wei Chung Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei, Taiwan

DOI:

https://doi.org/10.22105/w35wyr75

Keywords:

‎3D printing‎, Automatic insertion‎, Manufacturer tolerance‎, Taguchi method‎, Benefit assessment

Abstract

3D printing techniques are now thriving, and they are extensively used in the production of cultural and creative individualized goods. In the present economic development of Taiwan, the electronics manufacturing industry has the highest output value. This study aimed at the introduction of 3D printing techniques in the electronics manufacturing industry, taking the printing of automatic insertion component parts clip bodies as an example. If an object’s quality characteristics fail to meet the standard, the assembling will fail. Four key quality characteristics were established by this study: the inside diameter of the left and right holes, the outside diameter of the locating point, the height of the locating point, and the middle recess thickness. The tolerance determination of the Taguchi quality loss method was used to establish the manufacturer tolerance of the print object. A printing parameter optimization experiment was then conducted to upgrade the overall quality, and principal component analysis was used to propose the optimum parameter combination: PLA material, a fill thickness of 0.16mm, a wall thickness of 0.8mm, a bottom/top thickness of 1.2mm, an infill density of 50%, a printing speed of 20mm/s, and an extruder head temperature of 220℃. Finally, the benefit was assessed, considering the required cost for production, including the purchase cost, depreciation, amortized cost, creation of the 3D model file, the labor cost of operating the printer object subsequent surface treatment and component assembly, and the material cost for the print object and support structure.

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Published

2024-08-04

How to Cite

Management of 3D Printing Processes: Enhancing Pick-and-Place Machine Quality with Taguchi and Principal Component Analysis. (2024). Management Analytics and Social Insights, 1(2), 154-170. https://doi.org/10.22105/w35wyr75

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