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仿生法制备自清洁天然青石表面
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作者 段卓琦 谢再新 +4 位作者 赵占强 周豹 李汝恒 郑晓虹 胡永茂 《大理大学学报》 2021年第6期15-21,共7页
自清洁在天然石材表面保护方面具有重要应用价值。利用聚多巴胺的强黏附性和Al2O3表面Al—OH与烷基磷酸分子的亲水基团—P(O)(OH)2在一定条件下发生缩合反应,生成P—O—Al共价键的特性,用多巴胺Tris-HCl溶液浸泡青石,在其表面生成聚多... 自清洁在天然石材表面保护方面具有重要应用价值。利用聚多巴胺的强黏附性和Al2O3表面Al—OH与烷基磷酸分子的亲水基团—P(O)(OH)2在一定条件下发生缩合反应,生成P—O—Al共价键的特性,用多巴胺Tris-HCl溶液浸泡青石,在其表面生成聚多巴胺黏附层,再用Al2O3纳米颗粒、全氟烷基磷酸和无水乙醇混合液体浸泡,将氟化的Al2O3纳米颗粒黏附到青石表面,获得静态水接触角大于160°,滞后角小于20°的自清洁性能,扫描电子显微镜图像呈现出微/纳米粗糙结构的表面形貌。 展开更多
关键词 天然青石 仿生法 微/纳米粗糙结构 自清洁
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Multi-Objective Optimization for Structure Crashworthiness Based on Kriging Surrogate Model and Simulated Annealing Algorithm
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作者 SUN Xilong WANG Dengfeng +1 位作者 li ruheng ZHANG Bin 《Journal of Shanghai Jiaotong university(Science)》 EI 2020年第6期727-738,共12页
Multi-objective optimization of crashworthiness in automobile front-end structure was performed,and finite element model(FEM)was validated by experimental results to ensure that FEM can predict the response value with... Multi-objective optimization of crashworthiness in automobile front-end structure was performed,and finite element model(FEM)was validated by experimental results to ensure that FEM can predict the response value with sufficient accuracy.Seven design variables and four crashworthiness indicators were defined.Through orthogonal design method,18 FEMs were established,and the response values of crashworthiness indicators were extracted.By using the variable-response specimen matrix,Kriging surrogate model(KSM)was constructed to replace FEM to refect the function correlation between variables and responses.The accuracy of KSM was also validated.Finally,the simulated annealing optimization algorithm was implemented in KSM to seek optimal and reliable solutions.Based on the optimal results and comparison analysis,the 9096-th iteration point was the optimal solution.Although the intrusion of firewall and the mass of optimal structure increased slightly,the vehicle acceleration of the optimal solution decreased by 6.9%,which fectively reduced the risk of occupant injury. 展开更多
关键词 CRASHWORTHINESS multi-objective optimization Kriging surrogate model(KSM) simulated annealing algorithm
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