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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

A Conceptual Design Framework based on TRIZ Scientific Effects and Patent Mining

Author 1: E-Ming Chan
Author 2: Ah-Lian Kor
Author 3: Kok Weng Ng
Author 4: Mei Choo Ang
Author 5: Amelia Natasya Abdul Wahab

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2021.0121206

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 12, 2021.

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Abstract: Conceptual design represents a critical initial design stage that involves both technical and creative thinking to develop and derive concept solutions to meet design requirements. TRIZ Scientific Effects (TRIZSE) is one of the TRIZ tools that utilize a database on functional, transformation, parameterization of scientific effects to provide conceptual solutions to engineering and design problems. Although TRIZSE has been introduced to help engineers solve design problems in the conceptual design phase, the current TRIZSE database presents general scientific concept solutions with a few examples of solutions from patents which are very abstract and not updated since its introduction. This research work explores the derivation of a novel framework that integrates TRIZ scientific effects to the current patent information (USPTO) using data mining techniques to develop a better design support tool to assist engineers in deriving innovative design concept solutions. This novel framework will provide better, updated, relevant and specific examples of conceptual design ideas from patents to engineers. The research used Python as the base programming platform to develop a conceptual design software prototype based on this new framework where both the TRIZSE Database and Patents Database (USPTO) are searched and processed in order to build a Doc2Vec similarity model. A case study on the corrosion of copper pipelines by seawater is presented to validate this novel framework and results of the novel TRIZSE Database and patents examples are presented and further discussed in this paper. The results of the case study indicated that the Doc2Vec model is able to perform its intended similarity queries. The patent examples from results of the case study warrant further consideration in conceptual design activities.

Keywords: TRIZ; patent mining; natural language processing; product design

E-Ming Chan, Ah-Lian Kor, Kok Weng Ng, Mei Choo Ang and Amelia Natasya Abdul Wahab, “A Conceptual Design Framework based on TRIZ Scientific Effects and Patent Mining” International Journal of Advanced Computer Science and Applications(IJACSA), 12(12), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0121206

@article{Chan2021,
title = {A Conceptual Design Framework based on TRIZ Scientific Effects and Patent Mining},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0121206},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0121206},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {12},
author = {E-Ming Chan and Ah-Lian Kor and Kok Weng Ng and Mei Choo Ang and Amelia Natasya Abdul Wahab}
}


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