ArticleMaterials (Basel, Switzerland)2018
Multi-Response Parameter Interval Sensitivity and Optimization for the Composite Tape Winding Process.
Article in Materials (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- An LLM-Based Intelligent Agent and Its Application in Making the Lanolin Saponification Process Greener.Pharmaceuticals (Basel, Switzerland) · 2026Article
- An experimental study and prediction of dynamic deformation of wind turbine blade based on DIC.Scientific reports · 2025Article
- Predicting and Improving Interlaminar Bonding Uniformity during the Robotic Fiber Steering Process.Polymers · 2022Article
- Modeling and Optimizing the Composite Prepreg Tape Winding Process Based on Grey Relational Analysis Coupled with BP Neural Network and Bat Algorithm.Nanoscale research letters · 2019Article
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Authors and funding
5 authors.
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Abstract
The composite tape winding process, which utilizes a tape winding machine and prepreg tapes, provides a promising way to improve the quality of composite products. Nevertheless, the process parameters of composite tape winding have crucial effects on the tensile strength and void content, which are closely related to the performances of the winding products. In this article, two different object values of winding products, including mechanical performance (tensile strength) and a physical property (void content), were respectively calculated. Thereafter, the paper presents an integrated methodology by combining multi-parameter relative sensitivity analysis and single-parameter sensitivity analysis to obtain the optimal intervals of the composite tape winding process. First, the global multi-parameter sensitivity analysis method was applied to investigate the sensitivity of each parameter in the tape winding processing. Then, the local single-parameter sensitivity analysis method was employed to calculate the sensitivity of a single parameter within the corresponding range. Finally, the stability and instability ranges of each parameter were distinguished. Meanwhile, the authors optimized the process parameter ranges and provided comprehensive optimized intervals of the winding parameters. The verification test validated that the optimized intervals of the process parameters were reliable and stable for winding products manufacturing.
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