The uncertainty of the optimization process should be taken into account in the energy and material consumption modeling, which is the requisite of the collaborative optimization of low-carbon laser processing parameters. First, it involves establishing the carbon emission boundary based on the carbon source and dividing the non-metallic laser process into scanning and cutting stages, and then analyzing the carbon emission of electric energy, materials, process, and waste recycling of the whole process; all kinds of quantitative models of carbon emission are established. Second, several target intervals are obtained by the intuitionistic fuzzy search algorithm. Combinational experiment with integers in interval is carried out to analyze energy consumption of each combination. Finally, after analyzing the energy consumption influencing factors by comparative test and discussing the cost and time, this article concludes that the carbon emission can be reduced in the process of non-metallic laser processing under the best condition of processing cost and time, and also verifies the proposed quantitative models and the way of analysis by case analysis.

中文翻译：

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基于碳排放模型和直觉模糊集的非金属激光切割工艺参数协同优化研究

在能量和材料消耗建模中应考虑优化过程的不确定性，这是低碳激光加工参数协同优化的必要条件。首先，建立基于碳源的碳排放边界，将非金属激光工艺分为扫描和切割阶段，然后分析整个过程的电能、材料、工艺和废物回收的碳排放；建立了各种碳排放量化模型。其次，通过直觉模糊搜索算法得到几个目标区间。进行区间整数组合实验，分析每种组合的能耗。最后，