Multiresponse Parameter Optimization for the Composite Tape Winding Process Based on GRA and RSM

Composite tape winding is an important forming process of composite materials, which can ensure good performance of composite products. Selection and control of key process parameters in the winding process have a great influence on the properties of products, such as void content and residual stres...

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Bibliographic Details
Published in:Mathematical problems in engineering 2020-07, Vol.2020 (2020), p.1-11
Main Authors: Hong, Qi, Yaoyao, Shi
Format: Article
Language:English
Subjects:
Accuracy
Bubbles
Composite materials
Curing
Design optimization
Empirical analysis
Experiments
Multiple objective analysis
Optimization
Prediction models
Principal components analysis
Process parameters
Regression analysis
Residual stress
Response surface methodology
Shear strength
Statistical analysis
Tape winding
Variables
Winding
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Summary:Composite tape winding is an important forming process of composite materials, which can ensure good performance of composite products. Selection and control of key process parameters in the winding process have a great influence on the properties of products, such as void content and residual stress of products. Through experimental analysis, the residual stress and void content of the composite products are not the minimum when the prepreg winding process is carried out by using the empirical process parameters. To solve this multiobjective optimization problem, experiments were conducted using the Box–Behnken design. The multiobjective optimization problem is converted to a single-objective problem using grey relational analysis (GRA). Principal component analysis (PCA) is used to quantify the relative contributions of residual stress and void content. Regression analysis of grey relational grade (GRG) based on the experimental data was used to develop a second-order GRG prediction model. The winding process parameters were optimized with response surface methodology (RSM), and the winding experiments were carried out with these parameters. The experimental results show that the best combination of process parameters yields the best GRG results with better void content and residual stress.
ISSN:1024-123X
1563-5147
DOI:10.1155/2020/2515014