Enhancing CAD/CAM Design Processes via Intelligent Data Retrieval: Moving Beyond Similarity Comparison

Authors

  • Leila Zehtaban Author
  • Dieter Roller Author

DOI:

https://doi.org/10.70705/ppp.ir.2024.v02.i02.pp49-54

Keywords:

Similarity comparison, Opitz code, CAD/CAM

Abstract

Both producers and designers are very interested in the potentially lucrative idea of improving the design of a new product
by reusing technical information from previously produced goods. Product quality, design lead time, and prices may all be enhanced
by reusing collected know-how. Organizing all CAD/CAM product data into a repository and labeling it is a critical step
in making the collected information reliably accessible for reuse. Furthermore, a standardized data format is necessary for the
presentation of different items. Group Technology is a leading approach that includes extra information beyond the product’s
geometry in its categorization and standardization of topological and geometrical data from a 3D model. This study presents
a new technique to design choices using a classified database, which is based on Opitz code one of the Group Technology’s
methodologies. In addition, the most recent developments in categorization algorithms for 3D forms with the purpose of
comparing their similarities are outlined.

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Published

2024-06-26

How to Cite

Enhancing CAD/CAM Design Processes via Intelligent Data Retrieval: Moving Beyond Similarity Comparison. (2024). Intelligent Retrieval, 2(2), 49-54. https://doi.org/10.70705/ppp.ir.2024.v02.i02.pp49-54