Metaheuristic Approaches for Modeling and Optimization of FDM Process

Ahmad Aminzadeh, Mohammad Aberoumand, Davood Rahmatabadi, Mahmoud Moradi

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

According to the fact that the FDM process has several input parameters that should be optimized toward a zero-defect manufacturing production. In this chapter, at first statistical analysis and mathematical methods used in the design of the experiment and optimizing printing parameters, which are used in FDM printing parameters are defined, and then they are reviewed, discussed and categorized. In this regard, the application of different methods such as statistical modelling, design of experiments (DOEs), Artificial Neural Networks (ANN), Genetic Algorithms (GA), and Hybrid approaches are discussed. In the next section, using the results of researches in this field, they are reviewed on a case-by-case basis and the optimal printing parameters with different conditions, materials and goals are introduced in FDM 3D printing.
Original languageEnglish
Title of host publicationFused Deposition Modeling Based 3D Printing
EditorsDave K. Harshit, Davim J. Paulo
PublisherSpringer
Pages483-504
Number of pages22
Edition1
ISBN (Electronic)978-3-030-68024-4
ISBN (Print)978-3-030-68023-7
Publication statusPublished - 22 Apr 2021

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