零件/结构。开发并实现了机器学习(ML)驱动的设计,计划,计划,感应,控制,数据库反馈,机器的决定,以减轻预测的不确定性/风险,并验证了此类复合材料的此类智能学习系统,用于综合材料制造自动化(在Onr资助的液体综合中心)(智能材料)•Deliquel Assing Moulter(University Assing Assing)(2000年) RTM, VARTM, SCRIMP, and the variations • Out-Of-Autoclave Vacuum Bag Only (OOA-VBO) process • Void and Defect Characterization and Modeling for Polymer Matrix Composites • Residual Stress and Dimensional Stability of Polymer Matrix Composites • Nano-Composites and Multiscale Micro-/Nano- Fibers Reinforced Composites Manufacturing and Characterization •多孔介质中的微/纳米流体和悬浮液•功能分级材料•聚合物复合材料的粘合接头•流变,粘性流,ER/MR流体•多孔介质中的传输现象•数值方法•可持续能量技术(能源存储和收获)
accomplished under ONR funded Advanced Materials Intelligent Processing Center (University of Delaware), 2000-2003) • Liquid Composite Molding Processes such as RTM, VARTM, SCRIMP, and the variations • Out-Of-Autoclave Vacuum Bag Only (OOA-VBO) process • Void and Defect Characterization and Modeling for Polymer Matrix Composites • Residual Stress and Dimensional Stability of Polymer Matrix合成材料•纳米复合材料和多尺度的微型/纳米纤维增强了制造和特征的复合材料•多孔培养基中的微/纳米流体和悬浮液和悬浮液•功能分级的材料•功能性关节•聚合物复合材料的粘合剂关节收获)
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