Abstract
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.
Highlights
Due to good mechanical, chemical, and physical properties, composite materials are increasingly used
Advanced resin matrix composites have been widely used in the manufacture of solid rocket motor nozzles, parts of ablation and thermal protection materials, launch tubes, and special equipment for the spacecraft. ey have many advantages including low density, high strength and stiffness ratios, good corrosion resistance, and ease of integral molding [1,2,3]. e properties of composite prepreg tape winding products depend on the properties of the materials themselves, molding process parameters, and control accuracy. erefore, controlling the winding process and the process parameters is the key to ensuring the products have the desired properties. e main parameters in the composite prepreg tape winding process include winding temperature, tension, force, and winding speed [4,5,6,7,8]
A second-order prediction model for grey relational grade (GRG) is established based on experimental data with the use of response surface methodology (RSM). e influence of process parameters on GRG is analyzed, and the optimum combination of process parameters is obtained and verified through experiments. e results in this paper show that a particular multiobjective problem can be transformed into a single-objective problem using grey relational analysis (GRA). e optimum combination of process parameters in the composite prepreg tape winding process can be subsequently determined, and the residual stress and void content of composite products can be controlled
Summary
Chemical, and physical properties, composite materials are increasingly used. An adaptive genetic algorithm with minimum product weight is proposed in [9, 10], and RSM (RSM is a statistical method to solve multivariable problems, multiple quadratic regression equations which are used to fit the functional relationship between factors and response values, and through the analysis of regression equations to find the optimal process parameters) is used to predict the strength reliability of the composite material in high-pressure hydrogen storage vessels. One study analyzed the coupling mechanism in composite material winding process parameters and presented a quadratic regression model for the interlaminar shear strength based on RSM, yielding the optimal combination of process parameters [11]. E optimum combination of process parameters in the composite prepreg tape winding process can be subsequently determined, and the residual stress and void content of composite products can be controlled A second-order prediction model for GRG is established based on experimental data with the use of RSM. e influence of process parameters on GRG is analyzed, and the optimum combination of process parameters is obtained and verified through experiments. e results in this paper show that a particular multiobjective problem can be transformed into a single-objective problem using GRA. e optimum combination of process parameters in the composite prepreg tape winding process can be subsequently determined, and the residual stress and void content of composite products can be controlled
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