Startseite Technik Multi-objective optimization of build orientation considering support structure volume and build time in laser powder bed fusion
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Multi-objective optimization of build orientation considering support structure volume and build time in laser powder bed fusion

  • Ahmet Can Günaydın

    Ahmet Can Günaydın received both B.Sc. and M.Sc. degrees in mechanical engineering from Selçuk University, Konya, Turkey, in 2014 and 2017, respectively. He is currently pursuing the Ph.D. degree in mechanical engineering with Bursa Uludağ University, Bursa, Turkey. He is also a design engineer at TAI Uludağ University R&D Center. His current research interests include additive manufacturing and multi-objective optimization techniques.

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Veröffentlicht/Copyright: 16. März 2022
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Abstract

Additive manufacturing is a production technology based on creating three-dimensional parts directly from computer-aided design data layer-by-layer. In recent years, it has been used in many industries with the production of functional, high-quality metallic parts with the powder bed fusion process by laser. The build orientation of the three-dimensional part has a major impact on many factors such as part quality, waste amount, production time, and cost. In this study, a multi-objective optimization is carried out using non-dominated sorting genetic algorithm-II to simultaneously optimize different objectives that may conflict with each other, such as the amount of support structure and build time. Estimation methods are developed for computing the amount of support structure and the build time, which reflect the current state of the technology. With the developed method, build orientation is optimized for a complex part, and the wide range of alternative results are visualized and evaluated. The design for additive manufacturing knowledge required to correctly perform the build orientation process is eliminated by automating the pre-processing stage. Therefore, the contribution is made to the accessibility and sustainability of the PBF-L, which has high process costs by minimizing support structure volume and build time.


Corresponding author: Ahmet Can Günaydın, Turkish Aerospace Industries Inc, 16285, Bursa, Turkey, E-mail:

Award Identifier / Grant number: 118C100

About the author

Ahmet Can Günaydın

Ahmet Can Günaydın received both B.Sc. and M.Sc. degrees in mechanical engineering from Selçuk University, Konya, Turkey, in 2014 and 2017, respectively. He is currently pursuing the Ph.D. degree in mechanical engineering with Bursa Uludağ University, Bursa, Turkey. He is also a design engineer at TAI Uludağ University R&D Center. His current research interests include additive manufacturing and multi-objective optimization techniques.

Acknowledgment

The corresponding author thanks the Scientific and Technological Research Council of Turkey (TÜBİTAK) for their support under 2244 – Industrial PhD Fellowship Program, Grant No: 118C100.

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This work was funded by the Scientific and Technological Research Council of Turkey (TÜBİTAK) (118C100).

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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