Multifactor correlation analysis and modeling for product low-carbon design

ABSTRACT

Low-carbon design is a process of contradiction coordination, which involves multiple factors and necessitates abundant design knowledge and rules. We proposed the method that integrated the case-based reasoning (CBR) method and extension theory to achieve low-carbon design for products. In this paper, our work is on analyzing the design constraints, and constructing the parameters modeling for representation of product cases. Firstly, we discussed the correlation among factors, and mapped the requirement onto the detailed physical structure. Secondly, we integrated the improved activity-based costing and carbon method and the indirect calculation method to estimate the carbon footprint and cost of each phase in product life cycle. We adopted the basic-element model to represent the product cases and used the dependent function to discriminate the extent of compliance with the requirement. In final, the applicability of proposed method was demonstrated through a case study of a screw air compressor.

KEYWORDS:

• Low-carbon design
• correlation analysis
• parameters modeling
• case-based reasoning
• extension theory

Acknowledgments

We are grateful for funding from the National Natural Science Foundation of China (51605231, 61572438).

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

We are grateful for funding from the National Natural Science Foundation of China [51605231, 61572438].

Notes on contributors

She-Dong Ren

She-Dong Ren is a Ph.D. student in Zhejiang University of Technology; his main research direction is product low-carbon design and optimization design integrating with the extension theory.

Yan-Wei Zhao

Yan-Wei Zhao is the head of mechanical engineering discipline in Zhejiang University of Technology, and she is the doctoral tutor in mechanical engineering, control science, and engineering discipline. Her research interests are digital design and manufacturing, intelligent equipment, extension design, product low-carbon design.

Jiong-Jiong Lou

Jiong-Jiong Lou is a master student in Zhejiang University of Technology, and his main research direction is the application of integration method of Extenics and Triz theory.

Huan-Huan Hong

Huan-Huan Hong received his Ph.D. in Zhejiang University of Technology, and he has long been engaged in extension design and product low-carbon design.

Hong-Wei Wang

Hong-Wei Wang is a lecturer in School of Engineering, University of Portsmouth, and his research interests are engineering design, knowledge mining and management.