基于NSGA-Ⅱ算法的缠绕过程多目标工艺参数优化
Multi-objective process parameter optimization for winding process based on NSGA-Ⅱ algorithm
韩宇泽 1刘雁鹏 2任中杰 2任明法3
作者信息
- 1. 大连理工大学 机械工程学院,大连 116024;大连理工大学 工程力学系,大连 116024
- 2. 大连理工大学 工程力学系,大连 116024
- 3. 大连理工大学 机械工程学院,大连 116024;高性能精密制造全国重点实验室,大连 116024;辽宁省先进复合材料高性能制造重点实验室,大连 116024
- 折叠
摘要
基于复合材料缠绕成型工艺过程,采用响应面法设计湿法缠绕成型试验,以缠绕制品的层间剪切强度、孔隙率为关键性能指标,根据试验结果建立缠绕张力、胶辊间隙、缠绕速度对缠绕制品性能的多元回归预测模型,并验证回归模型的准确性.结合回归模型与Morris法进行不同缠绕制品性能表征参数对各工艺参数的敏感度排序,并得到各工艺参数的相对稳定区间,通过缠绕成型试验验证敏感度分析的有效性.以缠绕制品的层间剪切强度大、孔隙率小为目标,通过主成分分析(PCA)得到层间剪切强度的贡献率为60.9％、孔隙率的贡献率为39.1％,利用NSGA-Ⅱ算法获得工艺参数最优解集:缠绕张力为65.1 N、胶辊间隙为0.12 mm、缠绕速度为0.17m/s,缠绕制品的层间剪切强度为54.4MPa、孔隙率为1.24％、纤维体积分数为74.13vol％.
Abstract
Based on the composites winding molding process,the response surface methodology was used to design the wet winding molding test.Taking the interlayer shear strength and porosity of the winding products as the key performance indexes,the multivariate regression prediction model of winding tension,the gap between squeezer rollers and winding speed on the performance of winding products was established based on the experimental results,and the accuracy of the regression model was verified.Combining the regression model and Morris method for ranking the sensitivity of different winding product performance characterization parameters to each process parameter,the relative stability intervals of each process parameter were obtained and the validity of sensitivity analysis through the winding molding test was verified.Taking the large interlayer shear strength and small porosity of the winding products as the target,the dedication rate of interlayer shear strength is 60.9％and the dedication rate of porosity is 39.1％through the principal component analysis,and the optimal solution set of the process para-meters is obtained by using the NSGA-Ⅱ algorithm:The winding tension is 65.1 N,the gap between squeezer rollers is 0.12 mm,and the winding speed is 0.17 m/s.The interlayer shear strength of the winding product is 54.4 MPa,the porosity is 1.24％,and the fiber volume fraction is 74.13vol％.
关键词
复合材料/纤维缠绕/层间剪切强度/孔隙率/纤维体积分数/NSGA-Ⅱ算法/多目标参数优化Key words
composite material/fiber winding/interlayer shear strength/porosity/fiber volume fraction/NSGA-Ⅱ algorithm/multi-objective parameter optimization引用本文复制引用
基金项目
国家自然科学基金(12272078)
科技领军人才团队专题(DUT22LAB503)
大连市科技创新基金项目(2020JJ25CY011)
出版年
2024
NETL
NSTL
万方数据