Journal of Machine and Computing


Idea of Knowledge-Based Engineering using CAD Model



Journal of Machine and Computing

Received On : 30 March 2021

Revised On : 30 June 2021

Accepted On : 18 August 2021

Published On : 05 October 2021

Volume 01, Issue 04

Pages : 198-205


Abstract


Manufacturing firms have been compelled to invest heavily in digitizing and optimizing their technical and manufacturing operations as a result of mass customization. When developing and introducing new goods, not only must manufacturing procedures be computerized, but also information of how the products must be developed and manufactured based on client needs must be applied. One major academic issue is to assist the industry in ensuring that stakeholders understand the background information of automated engineering all through the production process. The goal of the study described in this article is to provide a foundation for a connectivity perspective of Knowledge-Based Engineering (KBE). The use of graph theory in conjunction with content-based filtering methods is used to handle network creation and contextualization, which are fundamental ideas in connectivism. To enable a connectivity management culture, the article demonstrates how engineering information in spreadsheet, knowledge representation, and Computer Aided Design (CAD) models may be infiltrated and displayed as filtering graphs.


Keywords


Computer Aided Design (CAD), Knowledge-Based Engineering (KBE), CAD, Data Management.


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We would like to thank Reviewers for taking the time and effort necessary to review the manuscript. We sincerely appreciate all valuable comments and suggestions, which helped us to improve the quality of the manuscript.


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Cite this article


Bian Xiuwu Maochun, “Idea of Knowledge-Based Engineering using CAD Model”, Journal of Machine and Computing, vol.1, no.4, pp. 198-205, October 2021. doi: 10.53759/7669/jmc202101024.


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© 2021 Bian Xiuwu Maochun. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.