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Remote Lab to Illustrate the Influence of Process Parameters on Product Properties in Additive Manufacturing

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Cross Reality and Data Science in Engineering (REV 2020)

Abstract

Additive manufacturing, which enables the production of highly complex components that were previously next to impossible to manufacture, has evolved from a tool for rapid prototyping to an integral part of many production lines in the metal manufacturing industry. Therefore, it is critical that today’s students, the manufacturing engineers of tomorrow, get a fundamental understanding of the process and the influence of the various process parameters on the process and the final product properties. The developed remote lab offers the students an opportunity to vary different process parameters and characterize the performance of specimens manufactured under different conditions with help of the uniaxial tensile test and to quantitatively analyze the interplay of different process parameters on the final product. From the educator’s point of view, the remote lab will allow for a higher throughput of students in the field of additive manufacturing without compromising on the machine and user safety, as well as the effectiveness of the lab.

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Acknowledgement

The work was done as part of the “ELLI2 – Excellent Teaching and Learning in Engineering Science” and the authors are grateful to the German Federal Ministry of Education and Research for funding the work (project no: 01PL16082C).

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Correspondence to Siddharth Upadhya .

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Upadhya, S., Grodotzki, J., Selvaggio, A., Mogylenko, O., Tekkaya, A.E. (2021). Remote Lab to Illustrate the Influence of Process Parameters on Product Properties in Additive Manufacturing. In: Auer, M., May, D. (eds) Cross Reality and Data Science in Engineering. REV 2020. Advances in Intelligent Systems and Computing, vol 1231. Springer, Cham. https://doi.org/10.1007/978-3-030-52575-0_37

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