A New Projection Based Method for the Classification of Mechanical Components Using Convolutional Neural Networks

Bickel S, Schleich B, Wartzack S (2022)

Publication Type: Conference contribution

Publication year: 2022

Publisher: Cambridge University Press

Book Volume: 2

Pages Range: 1501-1510

Conference Proceedings Title: Proceedings of the Design Society

Event location: Online

URI: https://www.cambridge.org/core/journals/proceedings-of-the-design-society/article/new-projection-based-method-for-the-classification-of-mechanical-components-using-convolutional-neural-networks/BEF06D3E3B7D49CB17F180E22CD75869

DOI: 10.1017/pds.2022.152

Open Access Link: https://www.cambridge.org/core/journals/proceedings-of-the-design-society/article/new-projection-based-method-for-the-classification-of-mechanical-components-using-convolutional-neural-networks/BEF06D3E3B7D49CB17F180E22CD75869

Abstract

Digital engineering is increasingly established in the industrial routine. Especially the application of machine learning on geometry data is a growing research issue. Driven by this, the paper presents a new method for the classification of mechanical components, which utilizes the projection of points onto a spherical detector surfaces to transfer the geometries into matrices. These matrices are then classified using deep learning networks. Different types of projection are examined, as are several deep learning models. Finally, a benchmark dataset is used to demonstrate the competitiveness.

Authors with CRIS profile

Sebastian Bickel Chair of Engineering Design Benjamin Schleich Chair of Engineering Design Sandro Wartzack Chair of Engineering Design

Related research project(s)

Development of a methodology for plausibility checks for linear structural mechanic finite element simulations using Deep Learning Aug. 1, 2021 - July 31, 2024

How to cite

APA:

Bickel, S., Schleich, B., & Wartzack, S. (2022). A New Projection Based Method for the Classification of Mechanical Components Using Convolutional Neural Networks. In Proceedings of the Design Society (pp. 1501-1510). Online, HR: Cambridge University Press.

MLA:

Bickel, Sebastian, Benjamin Schleich, and Sandro Wartzack. "A New Projection Based Method for the Classification of Mechanical Components Using Convolutional Neural Networks." Proceedings of the 17th International Design Conference, DESIGN 2022, Online Cambridge University Press, 2022. 1501-1510.

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