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Fused Deposition Modelling and Parametric Optimization of ABS-M30

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Advances in Materials and Manufacturing Engineering

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

Abstract

In the current development of generative manufacturing industries, 3D printing technologies have a significant impact in the production of complex geometry with least time and the absence of human intercession, tools, fixtures and dies. Presently in engineering application, fused deposition modelling (FDM) has better demand in additive manufacturing. The improvement in design quality and manufacturing in FDM is based on the proper selection of principal operational parameters. This paper experimentally describes the influence of stereotypical operational variables, i.e. layer thickness, raster angle, raster width, part build orientation and their reciprocation on the precision of change in length, width, thickness, hole diameter and angle orientation of test part of acrylonitrile butadiene styrene-M30 (ABS-M30) after generated by FDM approach. It was profound that shrinkage predominates along the diameter of hole but an increase in dimension of length, width, thickness and angle of inclination is more than the thirst value of the fabricated specimen. The most favourable parametric combination is followed to optimize the precise responses just as a change in length, width, thickness, hole diameter and angle orientation of build part by using a parametric design of Taguchi’s L9 orthogonal array. As Taguchi’s methodology is not much satisfactory for steady optimal factor amalgamation of each response Grey-Taguchi methods used to investigate the influence of FDM parameters on multi-performance characteristics, combining all the responses into a single response. The correlative effect of significant factors is determined by Analysis of Variance (ANOVA). Finally, the ANOVA on Grey relational grade indicates layer thickness, part build orientation and raster width which are significant. Layer thickness is the most influencing factor for part build. The percentage errors are 12.05, 4.55, 2.45, 3.4, 5.07 and 0.74 for change in length, width, thickness, diameter, angle and Grey relational grade, respectively.

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Authors and Affiliations

  1. CAPGS, Biju Patnaik University of Technology, Rourkela, India

    Hemant Cherkia, Sasmita Kar, Sudhansu Sekhar Singh & Ashutosh Satpathy

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  1. Hemant Cherkia
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  2. Sasmita Kar
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  3. Sudhansu Sekhar Singh
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  4. Ashutosh Satpathy
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Corresponding author

Correspondence to Sasmita Kar .

Editor information

Editors and Affiliations

  1. Department of Chemical and Materials Engineering, University of Alberta, Alberta, AB, Canada

    Leijun Li

  2. Department of Mechanical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India

    Dilip Kumar Pratihar

  3. Department of Mechanical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India

    Suman Chakrabarty

  4. School of Mechanical Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Purna Chandra Mishra

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Cherkia, H., Kar, S., Singh, S.S., Satpathy, A. (2020). Fused Deposition Modelling and Parametric Optimization of ABS-M30. In: Li, L., Pratihar, D., Chakrabarty, S., Mishra, P. (eds) Advances in Materials and Manufacturing Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-1307-7_1

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  • DOI: https://doi.org/10.1007/978-981-15-1307-7_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1306-0

  • Online ISBN: 978-981-15-1307-7

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