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Research on blank optimization design based on low-carbon and low-cost blank process route optimization model

Xiao, Yongmao, Yan, Wei, Wang, Ruping, Jiang, Zhigang and Liu, Ying 2021. Research on blank optimization design based on low-carbon and low-cost blank process route optimization model. Sustainability 13 (4) , 1929. 10.3390/su13041929

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Abstract

The optimization of blank design is the key to the implementation of a green innovation strategy. The process of blank design determines more than 80% of resource consumption and environmental emissions during the blank processing. Unfortunately, the traditional blank design method based on function and quality is not suitable for today’s sustainable development concept. In order to solve this problem, a research method of blank design optimization based on a low-carbon and low-cost process route optimization is proposed. Aiming at the processing characteristics of complex box type blank parts, the concept of the workstep element is proposed to represent the characteristics of machining parts, a low-carbon and low-cost multi-objective optimization model is established, and relevant constraints are set up. In addition, an intelligent generation algorithm of a working step chain is proposed, and combined with a particle swarm optimization algorithm to solve the optimization model. Finally, the feasibility and practicability of the method are verified by taking the processing of the blank of an emulsion box as an example. The data comparison shows that the comprehensive performance of the low-carbon and low-cost multi-objective optimization is the best, which meets the requirements of low-carbon processing, low-cost, and sustainable production.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: MDPI
ISSN: 2071-1050
Date of First Compliant Deposit: 9 February 2021
Date of Acceptance: 5 February 2021
Last Modified: 19 Feb 2021 15:00
URI: http://orca.cardiff.ac.uk/id/eprint/138345

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