Communications - Scientific Letters of the University of Zilina 2023, 25(1):B45-B51 | DOI: 10.26552/com.C.2023.010

Analysing the Generative Design of Payload Part for the 3D Metal Printing

Tamás Markovits ORCID...1,*, László Dániel Erőss ORCID...1, Ármin Fendrik2
1 Department of Automotive Technologies, Faculty of Transportation and Vehicle Engineering, Budapest University of Technology and Economics, Budapest, Hungary
2 Lead R&D engineer, Mould Tech Systems Ltd., Zalaegerszeg, Hungary

Additive manufacturing provides the possibility to print complex generative designed bodies. The research deals with redesigning a payload part of a camera holder using generative design for selective laser melting. The possibility of replacing the original polymer component with a metal printed component of a greater strength and the effect of different parameters of generative design were investigated. By comparing the generative design results obtained in several phases, the goal was to find a solution that can be used to replace the previous part and become printable with 3D metal printing. The internal stress values for each case and the amount of weight reduction that can be achieved were determined. With the results obtained, the parts were prepared for printing. It is the key aspect of the industrial application of generative optimization.

Keywords: generative design, additive manufacturing, laser powder bed fusion, Ti6Al4V, weight reduction, stress analysis
Grants and funding:


The project is funded by the National Research, Development and Innovation (NKFIH) Fund of Hungary. Project titles: "Development of multi-purpose fixed-wing drone based on innovative solutions and the creation of necessary competencies". The application ID number: 2019-1.1.1-PIACI-KFI-2019-00139. The authors want to express their thanks for the financial support.

Conflicts of interest:

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Received: July 27, 2022; Accepted: October 26, 2022; Prepublished online: December 1, 2022; Published: January 25, 2023  Show citation

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Markovits, T., Dániel Erőss, L., & Fendrik, Á. (2023). Analysing the Generative Design of Payload Part for the 3D Metal Printing. Communications - Scientific Letters of the University of Zilina, 25(1), B45-51. doi: 10.26552/com.C.2023.010
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