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Optimization on Surface Roughness of Fused Deposition Modelling (FDM) 3D Printed Parts Using Taguchi Approach

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Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

Taguchi Method is an effective tool introduced for the optimization of the product or process quality. In order to achieve the optimum performance of the 3D printed parts, the Taguchi method was employed because it is a simplified yet powerful method for experimental design using the orthogonal array method. In this research, an orthogonal array of L9 (34) was used to determine four parameters with three levels each. The samples with ASTM D638 type IV standard ware fabricated by 3D Printer type FDM. The results were obtained and data was analysed. Thus, the result shows the optimum parameters are print pattern (cross), orientation on Y-axis (0°), support angle (0°) and side walk (0.15 mm). The study demonstrates that the better surface roughness (Ra) of printed parts by Fused Deposition Modelling (FDM) machine that can be optimized by using Taguchi method and the outcomes of this study might be used as reference for other researchers.

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Correspondence to Mohd Nazri Ahmad .

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Ahmad, M.N. et al. (2020). Optimization on Surface Roughness of Fused Deposition Modelling (FDM) 3D Printed Parts Using Taguchi Approach. In: Jamaludin, Z., Ali Mokhtar, M.N. (eds) Intelligent Manufacturing and Mechatronics. SympoSIMM 2019. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-9539-0_24

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  • DOI: https://doi.org/10.1007/978-981-13-9539-0_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9538-3

  • Online ISBN: 978-981-13-9539-0

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