Abstract
The weight distribution of each response in the multi-response comprehensive decision-making problem of photocurable parts is highly subjective. In this paper, from the perspective of objective weighting, the entropy weight method is used to determine the weight of each evaluation index. Then, a multi-response comprehensive evaluation method based on the combination of the entropy weight method and the grey relational analysis method is proposed. Orthogonal experiments were designed with the parameters of layer thickness, laser power, over-curing and scanning spacing, and the entropy weighted grey correlation degree was sorted and analysed for the three response data of electrical energy consumption, tensile strength and surface roughness. The results show that when the printing layer thickness is 0.09mm, the laser power is 310mW, the over-curing thickness is 0.23mm, and the scanning distance is 0.09mm, the entropy weight grey correlation value of the part is the largest. The comprehensive evaluation of the part is better than other schemes. This method provides a reference for the selection of process parameters, the weight distribution of each index and the comprehensive decision-making of the additive manufacturing.
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