Sensitivity analysis-based quality optimization strategy for multi-correlation parameters in spinning process
Sheng Hu,
Di Wu,
Xi Zhang
et al.
Abstract:To address the problem of quality optimization of multi-correlation parameters in the spinning process, this paper proposes a new method based on a sparrow search algorithm (SSA). Firstly, a generalized regression neural network (GRNN) is used to investigate the impact of the spinning process parameters on yarn quality, and quality forward modeling in the spinning process is established. And based on the coupling and correlation characteristics of spinning process parameters, sensitivity analysis is used to an… Show more
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