Knowledge Base Repository

In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

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

Sebastian Bickel, Benjamin Schleich, Sandro Wartzack


Type:
Year:
2022
Editor:
Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author:
Series:
DESIGN
Institution:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Section:
Artificial Intelligence and Data-Driven Design
Page(s):
1501-1510
DOI number:
ISSN:
2732-527X (Online)
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.
Keywords:

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