Measurement Research of Parameter on Three-Dimensional Braided Composite Material Preform Surface

Abstract

This paper describes a new measuring algorithm for three-dimensional (3-D) braided composite materials preform exterior average braided angle based on image texture. In this project, an advanced nonlinear filtered algorithm for image of 3-D braided composite materials preform was developed. The digital signal processor, TMS320C/F240, has been used as a device for the preform exterior image filtering. The nonlinear filter consisted of minimum, median, and maximum filters. The DUAL PORT RAM, TC514256, has been used as image buffer. The proposed implementations achieve more powerful and stable noise reduction than commercial algorithms. In this research we also propose a more effective and rapid system design method and describe the procedure and how to implement our proposed algorithms by using the surface image testing system. A real time preform surface image collecting and filtering system was developed without PC controlling (the FPGA technology and digital signal process were used). To show the effectiveness of the proposed designing scheme, angular power spectrum algorithms were designed and it generated an optimized and portable code using assemble and VC language; then it was downloaded to a PC. It built programs that helped speed up the system so as to produce high quality results in less time. Experimental results show that the proposed method is feasible. The research was appraised by Science & Technology Committee of Tianjin. The appraisal report shows the research is advanced in the world. So far, the research is a new development for 3-D braided composite material preform measuring. It will provide the perfect data for improving artifact technology for 3-D braided composite material preform.