Abstract
In order to characterize the process-induced distortions of 3D thin shell composites with complex shape, the multilayered biaxial weft knitted (MBWK) fabric reinforced high-performance composite helmet was selected as the research object, and the 3D laser scanning machine was used to scan the helmet surface, then the 3D scanning data was compared with the CAD model to evaluate the deformation. The results and discussion indicated that the conventional method was workable, but the speed of convergence was slow and the calculation results were easy to drop into local optimization. According to detailed analysis, a measurement method focusing on the principle of “Feature Distance” was developed. The measurement results shown that this method can not only give accurate results, but also reduce working procedure and greatly save the computing resources, which is proved to be a feasible approach for the deformation measurement foundation of 3D thin shell textile composites.
Highlights
Since the fiber reinforced composites have excellent fatigue resistance, high strength-to-weight and stiffness-to-weight ratios, they have been widely employed in various fields [1,2,3]
The residual stress is an inevitable problem during the manufacturing process of composites, which are caused by the mismatch of the coefficients of thermal expansion (CTE) between reinforced fiber and matrix, the shrinkage in the resin polymerization reaction during the curing process, and fiber reorientation during the 3D shape forming process [6,7,8,9,10,11] a number of literatures implied that residual stresses may cause composite delamination and matrix fracture, reduce the failure strength, and influence the performance and service life of composite materials
This paper investigates the process-induced distortions of the multilayered biaxial weft knitted (MBWK) fabric reinforced composite helmet
Summary
Since the fiber reinforced composites have excellent fatigue resistance, high strength-to-weight and stiffness-to-weight ratios, they have been widely employed in various fields [1,2,3]. The process-induced distortions (PIDs) may affect the structural integrity even lead composites to fail [12,13]. A novel measuring strategy based on the “feature distance” is developed, it can characterize the distortion of the composites by the size of the critical parts, which calculate the deformation by scalar rather than vector. This method takes up less computing resources and can achieve good results, in addition, there is no registration convergence problem in this method. Combining with the previous method, it can be used to detect the deformation of complex curved composite structure
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