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The state space model of remanufacturing carbon footprint for low-carbon

机译:低碳再制造的碳足迹状态空间模型

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Energy conservation is the core value of remanufacturing engineering. This paper constructs a state space model of remanufacturing carbon footprint for low-carbon to describe the relationship of state variables (parts quality, accuracy, etc.), input variables (remanufacturing operations) and output variables (carbon emissions). A transfer function of carbon footprint in remanufacturing process is established. Because of the uncertainty of remanufacturing process, we studied the state estimation of observation vector in remanufacturing process based on the least squares method. Finally, an example of two remanufacturing process crankshaft machining path verified the effectiveness and feasibility of the model. This paper describes the remanufacturing process with carbon footprint, which is possible to quantitatively evaluate the advantages of remanufacturing machining technology, and it provides support for manufacturing process optimization.
机译:节能是再制造工程的核心价值。本文构建了低碳再制造碳足迹的状态空间模型,以描述状态变量(零件质量,精度等),输入变量(再制造操作)和输出变量(碳排放量)之间的关系。建立了再制造过程中碳足迹的传递函数。由于再制造过程的不确定性,我们研究了基于最小二乘法的再制造过程中观测向量的状态估计。最后,以两个再制造过程的曲轴加工路径为例,验证了该模型的有效性和可行性。本文描述了具有碳足迹的再制造过程,它可以定量地评估再制造加工技术的优势,并为制造过程的优化提供支持。

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