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.
Highlights
TRIZ is a Russian Acronym which translate to the “Theory of Inventive Problem Solving” which was first initiated by Genrich Altshuller in 1946 [1]
TRIZ Scientific Effects (TRIZSE) is one of the TRIZ tools which is applied in the conceptual design phase that utilizes a database based on three types of search query; Functional, Parameterization, and Transformation to recommend a list of solution concepts
This work starts with extraction and analysis of the TRIZSE database
Summary
TRIZ is a Russian Acronym which translate to the “Theory of Inventive Problem Solving” which was first initiated by Genrich Altshuller in 1946 [1]. TRIZ Scientific Effects (TRIZSE) is one of the TRIZ tools which is applied in the conceptual design phase that utilizes a database based on three types of search query; Functional, Parameterization, and Transformation to recommend a list of solution concepts (for e.g., if a user desires to constrain gas, one suggestion effect from the Functional aspect is Glassy Carbon which has high temperature resistance, extreme resistance to chemical attack, and impermeability to gases and liquid [4]). These suggestions lack suitable examples to support the recommended list of solution concepts and fail to inspire conceptual design ideas. The TRIZSE database provided by Martin [4] is available for public usage
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