From material selection to structural topology optimization: sustainable product design based on carbon footprint allocation

碳足迹 拓扑优化 选择(遗传算法) 产品(数学) 产品设计 可持续设计 拓扑(电路) 足迹 计算机科学 数学优化 材料选择 工业工程 工程类 制造工程 持续性 数学 结构工程 材料科学 有限元法 生态学 人工智能 温室气体 几何学 电气工程 古生物学 复合材料 生物
作者
Lei Zhang,Y. Zheng,Jiale Feng
出处
期刊:Journal of Mechanical Design [American Society of Mechanical Engineers]
卷期号:: 1-26
标识
DOI:10.1115/1.4065788
摘要

Abstract Climate change and the continuous increase of greenhouse gas concentration have a great impact on the human economy and society. Dozens of countries and regions have proposed the climate goal of “zero carbon” or “carbon neutrality”. Therefore, how to make products low carbon has become a trend in product design. This study proposes a low-carbon optimization method based on carbon footprint allocation for products, which can be used to solve the problem of overall product optimization and selection of key parts. The first contribution is to build a product carbon footprint analysis model and propose an element-based carbon footprint allocation method. The second contribution is to propose a low-carbon material selection method based on comprehensive carbon emissions, economic cost, and material density and to propose a structural topology optimization method on force condition and carbon emission reduction timeliness. The third contribution is to use force analysis and manufacturing process simulation to ensure the feasibility of the optimization scheme. Finally, a product life cycle emission reduction scheme for high-carbon parts is formed, which takes into account the emission reduction time constraint, environmental emission, economy, mechanical properties and manufacturability. For illustration, taking a dishwasher product as an example and the results show that the proposed method can effectively identify parts with high-carbon footprint and reduce the carbon footprint.
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