Adaptive Path Planning of Fiber Placement Based on Improved Method of Mesh Dynamic Representation
- 29 Downloads
Path planning for fiber placement is one of the research hotspots on composite fiber placement forming technology. The problem how to realize adaptive planning of placement path has great significance in improving the efficiency of automatic fiber placement and shortening product manufacturing period. Firstly, with the numerical simulation of moving interface, the iterative generation and wave propagation of reference path are simulated on the mesh surface, and the mesh dynamic representation (MDR) of fiber placement paths is realized. Then, through improvement on proposed algorithm, an optimal reference path which assures all the fiber directions to meet the requirements of product structure design is sought automatically, and thus adaptive planning of placement path is realized. The simulated automatic fiber placement mechanism can generate a series of equidistant paths through the equidistant propagation of reference path, by which the overlap and gap of fiber tows are avoided, and the quality of fiber placement is improved. Finally, the simple and complex surfaces for fiber placement are analyzed with finite element in the numerical experiment, and the obtained equidistant paths and fiber directions show the efficiency of the proposed method.
KeywordsMesh dynamic representation Fiber placement Path planning Adaptive Equidistant placement
First of all, thank the reviewers for their hard review, and give them the highest respect and heartfelt thanks. Secondly, this work is supported by the National Natural Science Foundation of China under grant No. 51575266.
- 1.Crosky A., Grant C., Kelly D. W., et al: Fiber placement processes for composites manufacture. In: Boisse P. (eds.) Advances in Composites Manufacturing & Process Design, pp. 79-92. Elsevier, Paris France (2015)Google Scholar
- 5.Lu M., Zhou L. S., Wang X. P.: Optimization of fiber steering in composite laminates using a curve projection algorithm. CMES. 22(16), 1993-1996 (2011)Google Scholar
- 6.Yan, L., Wang, F.Z., Shi, Y.Y.: Path planning algorithm for fiber placement based on non-equidistant offset. Acta Aeronautica ET Astronautica Sinica. 36(11), 3715–3723 (2015)Google Scholar
- 8.Waldhart C., Gurdal Z., Ribbens C.: Analysis of tow placed, parallel fiber, variable stiffness laminates. In: AIAA/ASME/ASCE/AHS/ASC, 37th SDM Conf., Salt Lake City, UT, U.S.A. (2013)Google Scholar
- 9.Lu, M., Zhou, L.S., Wang, X.P.: Trajectory generation for cylindrical structures in robotic multi-fiber placement. Acta Aeronautica ET Astronautica Sinica. 32(1), 181–186 (2011)Google Scholar
- 10.Dang X. D., Xiao J., Huan D. J.: Realization of parallel equidistant trajectory planning algorithm for automatic fiber placement. WHUJNS. 53(5), 613-616 (2007)Google Scholar
- 18.Yan, J., Cheng, C.: Dynamic representation method of target in remote sensed images based on global subdivision grid. Geoscience and Remote Sensing Symposium. IEEE. 2014:3097–3100 (2014)Google Scholar
- 20.Zhou, C.Y.: Finite element analysis and application of SAMCEF, pp. 133–147. Mechanical Industry Press, Beijing (2015)Google Scholar