Forming Difficulty Evaluation for Curved Hull Plates Based on Grey Relational Analysis

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Abstract

Featured Application: The research results of this paper have been applied to the evaluation of ship curved plate forming in the field of shipbuilding. The evaluation method proposed in this article can save manufacturing hours and construction costs. Designers can predict the forming difficulty before actual processing. Green manufacturing and energy saving can be achieved through optimized design schemes. It can also provide ideas for research about plate forming difficulty evaluation in the fields of aerospace manufacturing, chemical pressure vessel and precision manufacturing. To solve the problem that the lack of reference for hull plate division leads to the difficulty and low efficiency of curved plate forming, the forming difficulty evaluation of complex curved hull plates is researched. Considering the characteristics in curved plate forming process, the forming difficulty evaluation model of complex curved hull plates based on grey relational analysis is established. The evaluation process of forming difficulty for curved plates is designed. The influence law of parameters and forming parameters on the forming difficulty of curved plates are revealed. The weight coefficients of different influencing factors on the forming difficulty of curved plates are quantified. Taking the real hull plate of a container ship as an example, the evaluation results for the forming difficulty of curved plates are calculated based on the evaluation model. The rationality of the evaluation model is verified by comparing the evaluation results of curved plate forming and the process time data. The research can provide a reference for the reasonable division of hull plates and reduce the forming difficulty of curved plates.

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APA

Wang, S., Xu, Z., Wang, J., Li, R., & Wang, Y. (2023). Forming Difficulty Evaluation for Curved Hull Plates Based on Grey Relational Analysis. Applied Sciences (Switzerland), 13(9). https://doi.org/10.3390/app13095233

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