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Optimization of fused deposition modeling process parameters: a review of current research and future prospects

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Abstract

Fused deposition modeling (FDM) is one of the most popular additive manufacturing technologies for various engineering applications. FDM process has been introduced commercially in early 1990s by Stratasys Inc., USA. The quality of FDM processed parts mainly depends on careful selection of process variables. Thus, identification of the FDM process parameters that significantly affect the quality of FDM processed parts is important. In recent years, researchers have explored a number of ways to improve the mechanical properties and part quality using various experimental design techniques and concepts. This article aims to review the research carried out so far in determining and optimizing the process parameters of the FDM process. Several statistical designs of experiments and optimization techniques used for the determination of optimum process parameters have been examined. The trends for future FDM research in this area are described.

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Authors and Affiliations

  1. Department of Mechanical and Product Design Engineering, Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn, Melbourne, Australia

    Omar A. Mohamed & Syed H. Masood

  2. Department of Psychological Sciences and Statistics, Faculty of Health, Arts and Design, Swinburne University of Technology, Hawthorn, Melbourne, Australia

    Jahar L. Bhowmik

Authors
  1. Omar A. Mohamed
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  2. Syed H. Masood
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  3. Jahar L. Bhowmik
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Correspondence to Omar A. Mohamed.

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Mohamed, O.A., Masood, S.H. & Bhowmik, J.L. Optimization of fused deposition modeling process parameters: a review of current research and future prospects. Adv. Manuf. 3, 42–53 (2015). https://doi.org/10.1007/s40436-014-0097-7

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  • DOI: https://doi.org/10.1007/s40436-014-0097-7

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