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.

面对严重的生态问题的全球挑战，旨在减少碳排放和资源消耗的低碳制造业正受到越来越多的关注。由于对产品生命周期的重大影响，低碳产品设计被认为是改善机电产品生态市场权衡的有效且有吸引力的方法。现有的低碳产品设计方法侧重于解决特定的低碳问题，很少讨论从整体角度考虑低碳和知识的探索和导航集成设计空间。作为回应，本文提出了一个基于知识的集成产品设计框架，以支持低碳产品开发。提出了一种基于本体的知识建模方法来表示多学科设计知识，以促进知识共享和集成。随后，提出了一种基于案例推理的功能结构综合方法，以缩小设计空间，以生成实现所需功能的合适设计解决方案。建立了多目标数学模型，并采用多目标粒子群算法解决了低碳产品的优化问题。此外，采用基于紧密度的决策排序方法来对Pareto集的潜在解决方案进行优先排序。最后，以液压机低碳产品设计为例，证明了其有效性。提出了一种基于案例推理的功能结构综合方法，以缩小设计空间，以生成实现所需功能的合适设计解决方案。建立了多目标数学模型，采用多目标粒子群算法求解低碳产品优化问题。此外，采用基于紧密度的决策排序方法来对Pareto集的潜在解决方案进行优先排序。最后，以液压机低碳产品设计为例，证明了其有效性。提出了一种基于案例推理的功能结构综合方法，以缩小设计空间，以生成实现所需功能的合适设计解决方案。建立了多目标数学模型，采用多目标粒子群算法求解低碳产品优化问题。此外，采用基于紧密度的决策排序方法来对Pareto集的潜在解决方案进行优先排序。最后，以液压机低碳产品设计为例，证明了其有效性。采用多目标粒子群算法求解低碳产品优化问题。此外，采用基于紧密度的决策排序方法来对Pareto集的潜在解决方案进行优先排序。最后，以液压机低碳产品设计为例，证明了其有效性。采用多目标粒子群算法求解低碳产品优化问题。此外，采用基于紧密度的决策排序方法来对Pareto集的潜在解决方案进行优先排序。最后，以液压机低碳产品设计为例，证明了其有效性。