Optimization of Parameter Ranges for Composite Tape Winding Process Based on Sensitivity Analysis
Source abstract
Abstract
This study is focus on the parameters sensitivity of winding process for composite prepreg tape. The methods of multi-parameter relative sensitivity analysis and single-parameter sensitivity analysis are proposed. The polynomial empirical model of interlaminar shear strength is established by response surface experimental method. Using this model, the relative sensitivity of key process parameters including temperature, tension, pressure and velocity is calculated, while the single-parameter sensitivity curves are obtained. According to the analysis of sensitivity curves, the stability and instability range of each parameter are recognized. Finally, the optimization method of winding process parameters is developed. The analysis results show that the optimized ranges of the process parameters for interlaminar shear strength are: temperature within [100 °C, 150 °C], tension within [275 N, 387 N], pressure within [800 N, 1500 N], and velocity within [0.2 m/s, 0.4 m/s], respectively.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Vibration and Dynamic Analysis · Belt Conveyor Systems Engineering · Advanced machining processes and optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (21)
Show source-provided references
1. Dirk, H.J.A.L., Ward, C., Potter, K.D.: The engineering aspects of automated prepreg layup: history, present and future. Compos. Part B 43(3), 997–1009 (2012)10.1016/j.compositesb.2011.12.003 ↗
2. Shi, Y., Yu, T., Zhang, Y., et al.: Research on hot-press splicing technology for composite prepreg tape. Proceedings of the 2014 international conference on innovative design and manufacturing, pp. 143–148 (2014)10.1109/IDAM.2014.6912685 ↗
3. August, Z., Ostrander, G., Michasiow, J., et al.: Recent developments in automated fiber placement of thermoplastic composites. SAMPE J. 50(2), 30–37 (2014)
4. Gabrion, X., Placet, V., Trivaudey, F., et al.: About the thermomechanical behaviour of a carbon fibre reinforced high-temperature thermoplastic composite. Compos. Part B 95, 386–394 (2016)10.1016/j.compositesb.2016.03.068 ↗
5. Kedari, V.R., Farah, B.I., Hsiao, K.T.: Effects of vacuum pressure, inlet pressure, and mold temperature on the void content, volume fraction of polyester/e-glass fiber composites manufactured with VARTM process. J. Compos. Mater. 45(26), 2727–2742 (2011)10.1177/0021998311415442 ↗
6. Xu, X., Wang, X., Wei, R., et al.: Effect of microwave curing process on the flexural strength and interlaminar shear strength of carbon fiber/bismaleimide composites. Compos. Sci. Technol. 123, 10–16 (2016)10.1016/j.compscitech.2015.11.030 ↗
7. He, H.W., Li, K.X.: Effect of processing parameters on the interlaminar shear strength of carbon fiber/epoxy composites. J. Macromol. Sci. Part B 53(6), 1050–1058 (2014)10.1080/00222348.2014.882249 ↗
8. Aized, T., Shirinzadeh, B.: Robotic fiber placement process analysis and optimization using response surface method. Int. J. Adv. Manuf. Technol. 55(1–4), 393–404 (2011)10.1007/s00170-010-3028-1 ↗
9. Schledjewski, R., Latrille, M.: Processing of unidirectional fiber reinforced tapes—fundamentals on the way to a process simulation tool (ProSimFRT). Compos. Sci. Technol. 63(14), 2111–2118 (2003)10.1016/S0266-3538(03)00108-8 ↗
10. Khan, M.A., Mitschang, P., Schledjewski, R.: Identification of some optimal parameters to achieve higher laminate quality through tape placement process. Adv. Polym. Technol. 29(2), 98–111 (2010)10.1002/adv.20177 ↗
11. Khan, M.A., Mitschang, P., Schledjewski, R.: Parametric study on processing parameters and resulting part quality through thermoplastic tape placement process. J. Compos. Mater. 47(4), 485–499 (2013)10.1177/0021998312441810 ↗
12. Sonmez, F.O., Akbulut, M.: Process optimization of tape placement for thermoplastic composites. Compos. A: Appl. Sci. Manuf. 38(9), 2013–2023 (2007)10.1016/j.compositesa.2007.05.003 ↗
13. Rongxin, T., Changfeng, Y., Xinchun, H., et al.: Process parameter interval sensitivity and optimization of machined surface roughness for high-speed milling of titanium alloys. Acta Aeronaut. Astronaut. Sin. 31(12), 2464–2470 (2010)
14. Li, X.X., Zhou, X.D., Guo, B.B., et al.: Influence of processing parameters of two-step filament winding on ILSS and resin content of continuous glass fiber reinforced polypropylene tubes. Fiber Reinf. Plast. 6, 017 (2011)
15. Wan, G., Xia, J., Chen, J.: A multi-parameter sensitivity and uncertainty analysis method to evaluate relative importance of parameters and model performance. Geogr. Res. 29(2), 263–270 (2010)
16. Choi, J., Harvey, J.W., Conklin, M.H.: Use of multi-parameter sensitivity analysis to determine relative importance of factors influencing natural attenuation of mining contaminants. US Geological Survey Water-Resources Investigations Program, Report. (1999)
17. Srinivasulu, G.N., Subrahmanyam, T., Rao, V.D.: Parametric sensitivity analysis of PEM fuel cell electrochemical model. Int. J. Hydrog. Energy 36(22), 14838–14844 (2011)10.1016/j.ijhydene.2011.03.040 ↗
18. Nassar, M.A.: Multi-parametric sensitivity analysis of CCHE2D for channel flow simulations in Nile River. J. Hydro Environ. Res. 5(3), 187–195 (2011)10.1016/j.jher.2010.12.002 ↗
19. Qian, W., Yin, X., He, X., et al.: Sensitivity analysis of influencing parameters on fatigue life of aeroengine compressor disk. J. Northeast. Univ. 27(6), 677–680 (2006)
20. GB/T 1458–2008.: Test method for mechanical properties of ring of filament-winding reinforced plastics. National standards of the People’s Republic of China. (2008)
21. Whitcomb, P.J., Anderson, M.J.: RSM simplified: optimizing processes using response surface methods for design of experiments. CRC Press. (2004)10.4324/9781482293777 ↗