Research on new creative conceptual design system using adapted case-based reasoning technique

Abstract

Creative conceptual design requires significant previous design knowledge. Case-based reasoning enables learning from previous design experience and has a great potential in supporting creative conceptual design by means of seeking to retrieve, reuse, and revise most appropriate cases to generate inspired solutions. However, traditional case-based reasoning based creative conceptual design models focus on design strategies research, pay little attention to defining a consistent knowledge representation model, and neglect the research to make various types of knowledge retrieval tractable. Faced with such drawbacks, the expected design knowledge cannot be retrieved properly, especially in cases where multidisciplinary knowledge is concerned or exact query terms are absent. In order to solve these issues, this paper presents a combined approach to support creative conceptual design process. First, function-behavior-structure knowledge cell is introduced as a unified consistent design knowledge representation model. Second, a hybrid similarity measure is proposed to increase the overall possibility of obtaining useful design knowledge by considering semantic understanding ability. Third, an intelligent creative conceptual design system has been developed with a case study of a novel insulin pump design to demonstrate its usage, and two experiments are conducted to evaluate the performance of the proposed approach. The results show that the proposed approach outperforms other case-based reasoning based creative conceptual design models.

Semantic Networks for Engineering Design: A Survey

“…A hand-built semantic network knowledge base containing thematic relations to store scenes was employed. Hu et al (2017) developed an Intelligent Creative Conceptual Design System, which retrieves a domain-specific Function-Behaviour-Structure (FBS) knowledge cell library according to WordNet ontology. InnoGPS, developed by Luo et al (2018, is a computer-aided design ideation support tool that provides rapid concept retrieval as inspirational stimuli and real-time evaluation of ideas generated.…”

“…TechNet has been utilized to augment patent search (Sarica et al, 2019a), technology forecasting (Sarica et al, 2019b), idea generation (Sarica et al, 2021) and evaluation (Han et al, 2020) Table 2 summarizes the engineering design studies using semantic networks, highlighting the semantic networks employed and their applications. The (Goel et al, 2012) WordNet Concept association and expansion (Linsey et al, 2012) Executing queries (Siddharth and Chakrabarti, 2018) WordNet and FBS (Function-Behaviour-Structure) knowledge cell library Knowledge retrieval (Hu et al, 2017) WordNet and word2vec…”

Data-driven design: the new challenges of digitalization on product design and development

“…Multiple response surfaces methodology (Jun & Suh 2008), ordinal logistical regression (Demirtas et al 2009) and genetic algorithms (Hsiao & Tsai 2005;Kim & Cho 2005) have been attempted for instance to determine the optimal settings of the design attributes that achieve maximum customer satisfaction. Case-based and neural network approaches have been used extensively during idea generation, either for leveraging decisions on previous design cases (Hu et al 2017) or for simulating design alternatives concerning specific performance parameters (Dering & Tucker 2017;As et al 2018;Babutzka et al 2019). Optimization tools have been employed mainly with predictive purposes during the detail design phase.…”

Quantitative Selection Method of Product Conceptual Scheme Based On Bond Graph

“…He thought that the product design process is continuously transferred and advanced in the three domains of function, behavior, and structure, thereby establishing an eight-stage FBS model. On the basis of this, demand-function-structure [12], FBS Knowledge cell [13], Structure-behavior-function model [14], state-behavior-structure [15] and other process models have been proposed successively.…”