Knowledge-based integrated product design framework towards sustainable low-carbon manufacturing. (April 2021)

• Record Type: Journal Article
• Authors: Zheng, Hao; Yang, Shang; Lou, Shanhe; Gao, Yicong; Feng, Yixiong
• Is Part Of: Advanced engineering informatics. Volume 48(2021)
• Publication Date: 2021-04
• Subjects: Low-carbon product design -- Multi-objective optimization -- Design knowledge representation -- Low-carbon manufacturing; Computer-aided engineering -- Periodicals; Engineering -- Data processing -- Periodicals; 620.00285
• DOI: 10.1016/j.aei.2021.101258
• Languages: English
• ISSNs: 1474-0346

Abstract

Abstract: With a global challenge on the serious ecological problems, low-carbon manufacturing aiming to reduce carbon emission and resource consumption is gaining the ever-increasing attention. Due to the significant impact on the product lifecycle, low-carbon product design is considered as an effective and attractive approach to improve the eco-market trade-off of electromechanical products. Existing low-carbon product design approaches focus on solving specific low-carbon problems, and how to explore and navigate the integrative design space considering low-carbon and knowledge in a holistic perspective is rarely discussed. In response, this paper proposes a knowledge-based integrated product design framework to support low-carbon product development. An ontology-based knowledge modelling approach is put forward to represent the multidisciplinary design knowledge to facilitate knowledge sharing and integration. Subsequently, a function–structure synthesis approach based on case-based reasoning is presented to narrow down the design space to generate suitable design solutions for achieving desired functions. A multi-objective mathematical model is established, and the multi-objective particle swarm optimization is adopted to solve the low-carbon product optimization. Furthermore, a decision-making ranking approach based on the closeness degree is employed to prioritize the potential solutions from Pareto set. Finally, a case study of low-carbon product design of hydraulic machine is demonstrated to show the effectiveness.