To increase the robustness of the optimization solutions of the mixed-flow pump,the impeller was firstly indirectly parameterized based on the 2D blade design theory.Secondly,the robustness of the optimization solutio...To increase the robustness of the optimization solutions of the mixed-flow pump,the impeller was firstly indirectly parameterized based on the 2D blade design theory.Secondly,the robustness of the optimization solution was mathematically defined,and then calculated by Monte Carlo sampling method.Thirdly,the optimization on the mixed-flow pump′s impeller was decomposed into the optimal and robust sub-optimization problems,to maximize the pump head and efficiency and minimize the fluctuation degree of them under varying working conditions at the same time.Fourthly,using response surface model,a surrogate model was established between the optimization objectives and control variables of the shape of the impeller.Finally,based on a multi-objective genetic optimization algorithm,a two-loop iterative optimization process was designed to find the optimal solution with good robustness.Comparing the original and optimized pump,it is found that the internal flow field of the optimized pump has been improved under various operating conditions,the hydraulic performance has been improved consequently,and the range of high efficient zone has also been widened.Besides,with the changing of working conditions,the change trend of the hydraulic performance of the optimized pump becomes gentler,the flow field distribution is more uniform,and the influence degree of the varia-tion of working conditions decreases,and the operating stability of the pump is improved.It is concluded that the robust optimization method proposed in this paper is a reasonable way to optimize the mixed-flow pump,and provides references for optimization problems of other fluid machinery.展开更多
There has been an increasing interest in integrating decision support systems (DSS) and expert systems (ES) to provide decision makers a more accessible, productive and domain-independent information and computing env...There has been an increasing interest in integrating decision support systems (DSS) and expert systems (ES) to provide decision makers a more accessible, productive and domain-independent information and computing environment. This paper is aimed at designing a multiple expert systems integrated decision support system (MESIDSS) to enhance decision makers' ability in more complex cases. The basic framework, management system of multiple ESs, and functions of MESIDSS are presented. The applications of MESIDSS in large-scale decision making processes are discussed from the following aspects of problem decomposing, dynamic combination of multiple ESs, link of multiple bases and decision coordinating. Finally, a summary and some ideas for the future are presented.展开更多
本文研究了新型惯质调谐质量阻尼器(novel tuned mass damper inerter,NTMDI)的安装方法对其优化设计与减振性能的影响。详细介绍了NTMDI-R(反向安装的NTMDI)的力学模型,并采用经典固定点理论对NTMDI-R进行了优化设计,得到了NTMDI-R最...本文研究了新型惯质调谐质量阻尼器(novel tuned mass damper inerter,NTMDI)的安装方法对其优化设计与减振性能的影响。详细介绍了NTMDI-R(反向安装的NTMDI)的力学模型,并采用经典固定点理论对NTMDI-R进行了优化设计,得到了NTMDI-R最优结构参数的解析式;对比研究了NTMDI-R与现有四种经典调谐质量阻尼器(TMD、TMDI、VTMD和NTMDI)在简谐激励和随机激励下的减振效果,并探究了安装方法对NTMDI-R减振性能的影响。结果表明:正、反向安装的两种减振器(NTMDI和NTMDI-R)优化参数不同,安装方法对其减振性能有较大影响。当表观质量比β小于0.1时,NTMDI-R的减振效果差于NTMDI;而β大于0.1时,NTMDI-R的减振效果与NTMDI基本一致,因此采用NTMDI进行结构减振应明确其安装方向。基础加速度和荷载力分别作用下,NTMDI-R的减振效果相对于NTMDI分别降低了3.9%和4.7%。展开更多
针对未来月球探测任务中探测器系统使用需求和综合设计难点,为有效解决各型探测器使用兼容、网络通联、维护保障等问题,以基于模型的系统工程(model-based systems engineering,MBSE)正向设计为指导,结合互操作性设计思想,提出基于“场...针对未来月球探测任务中探测器系统使用需求和综合设计难点,为有效解决各型探测器使用兼容、网络通联、维护保障等问题,以基于模型的系统工程(model-based systems engineering,MBSE)正向设计为指导,结合互操作性设计思想,提出基于“场景分析-需求分析-功能与架构分析-架构设计”的系统架构开发流程。以典型任务场景下探测器系统互操作能力需求为输入,构建关键功能约束下的系统用例、活动、时序、状态等视图模型,通过权衡分析,形成探测器最小单元物理架构,为多种构型探测器架构和功能配置设计提供可行性方法,提升系统开发和验证效率。展开更多
The paper presents the conceptual and operational basis of the creation of IDSS based on our recent research experience. In this paper, an intelligent decision support system, IDSS is defined as: any interactive syste...The paper presents the conceptual and operational basis of the creation of IDSS based on our recent research experience. In this paper, an intelligent decision support system, IDSS is defined as: any interactive system that is specially designed to improve the decision making of its user by extending the user's cognitive decision making abilities. As a result, this view of man-machine joint cognitive system stresses the need to use computational technology to aid the user in the decision making process. And the human's role is to achieve total systems's objectives. The paper outlines the designing procedure in successive steps. First, the decision maker's cognitive needs for decision support are identified. Second, the computationally realizable support functions are defined that could be provided by IDSS. Then, the specific techniques that would best fill the decision needs are discussed. And finally, for system implementation the modern computational technology infrastructure is emphasized.展开更多
针对部分机电产品在概念设计阶段未综合考虑客户和环境的需求,进而影响产品详细设计的问题,提出了一种基于功能—结构—客户和环境需求(function‒structure‒requirements of customer and environment,FSRce)模型的机电产品绿色概念设...针对部分机电产品在概念设计阶段未综合考虑客户和环境的需求,进而影响产品详细设计的问题,提出了一种基于功能—结构—客户和环境需求(function‒structure‒requirements of customer and environment,FSRce)模型的机电产品绿色概念设计方案生成方法。首先,从案例库中选择合适的功能和结构对现有产品设计树中的节点进行扩展和关联;同时通过数据挖掘、专家打分等方法获得产品的客户和环境需求重要度,以构建基于FSRce模型的产品概念设计空间。然后,先利用加权区间粗糙数法对客户和环境需求重要度进行分析,得到需求相对重要度,再运用模糊质量功能展开(fuzzy quality function deployment,FQFD)将需求相对重要度转化为产品的工程特性权重。最后,利用物元理论构建基于工程特性的产品物元域和各结构物元集,并结合工程特性权重得到各结构的满意度分值,通过比较满意度优选得到满足客户和环境需求的产品概念设计方案。以某小型工业吹风机为例,基于上述方法对其概念设计方案进行优化。相比于原始方案,优化后的吹风机在能源消耗上降低了15.38%,在碳排放上降低了15.32%,且客户满意度提高了44.66%,由此验证了所提出方法的可行性与有效性。所提出的方法为机电产品概念设计方案的生成提供了一种新思路,能更好地辅助设计人员实现对机电产品的绿色设计。展开更多
基金National Natural Science Foundation of China(51609107)Open Subject of Provincial and Ministerial Discipline Platform of Xihua University(szjj2018-123)。
文摘To increase the robustness of the optimization solutions of the mixed-flow pump,the impeller was firstly indirectly parameterized based on the 2D blade design theory.Secondly,the robustness of the optimization solution was mathematically defined,and then calculated by Monte Carlo sampling method.Thirdly,the optimization on the mixed-flow pump′s impeller was decomposed into the optimal and robust sub-optimization problems,to maximize the pump head and efficiency and minimize the fluctuation degree of them under varying working conditions at the same time.Fourthly,using response surface model,a surrogate model was established between the optimization objectives and control variables of the shape of the impeller.Finally,based on a multi-objective genetic optimization algorithm,a two-loop iterative optimization process was designed to find the optimal solution with good robustness.Comparing the original and optimized pump,it is found that the internal flow field of the optimized pump has been improved under various operating conditions,the hydraulic performance has been improved consequently,and the range of high efficient zone has also been widened.Besides,with the changing of working conditions,the change trend of the hydraulic performance of the optimized pump becomes gentler,the flow field distribution is more uniform,and the influence degree of the varia-tion of working conditions decreases,and the operating stability of the pump is improved.It is concluded that the robust optimization method proposed in this paper is a reasonable way to optimize the mixed-flow pump,and provides references for optimization problems of other fluid machinery.
文摘There has been an increasing interest in integrating decision support systems (DSS) and expert systems (ES) to provide decision makers a more accessible, productive and domain-independent information and computing environment. This paper is aimed at designing a multiple expert systems integrated decision support system (MESIDSS) to enhance decision makers' ability in more complex cases. The basic framework, management system of multiple ESs, and functions of MESIDSS are presented. The applications of MESIDSS in large-scale decision making processes are discussed from the following aspects of problem decomposing, dynamic combination of multiple ESs, link of multiple bases and decision coordinating. Finally, a summary and some ideas for the future are presented.
文摘本文研究了新型惯质调谐质量阻尼器(novel tuned mass damper inerter,NTMDI)的安装方法对其优化设计与减振性能的影响。详细介绍了NTMDI-R(反向安装的NTMDI)的力学模型,并采用经典固定点理论对NTMDI-R进行了优化设计,得到了NTMDI-R最优结构参数的解析式;对比研究了NTMDI-R与现有四种经典调谐质量阻尼器(TMD、TMDI、VTMD和NTMDI)在简谐激励和随机激励下的减振效果,并探究了安装方法对NTMDI-R减振性能的影响。结果表明:正、反向安装的两种减振器(NTMDI和NTMDI-R)优化参数不同,安装方法对其减振性能有较大影响。当表观质量比β小于0.1时,NTMDI-R的减振效果差于NTMDI;而β大于0.1时,NTMDI-R的减振效果与NTMDI基本一致,因此采用NTMDI进行结构减振应明确其安装方向。基础加速度和荷载力分别作用下,NTMDI-R的减振效果相对于NTMDI分别降低了3.9%和4.7%。
文摘针对未来月球探测任务中探测器系统使用需求和综合设计难点,为有效解决各型探测器使用兼容、网络通联、维护保障等问题,以基于模型的系统工程(model-based systems engineering,MBSE)正向设计为指导,结合互操作性设计思想,提出基于“场景分析-需求分析-功能与架构分析-架构设计”的系统架构开发流程。以典型任务场景下探测器系统互操作能力需求为输入,构建关键功能约束下的系统用例、活动、时序、状态等视图模型,通过权衡分析,形成探测器最小单元物理架构,为多种构型探测器架构和功能配置设计提供可行性方法,提升系统开发和验证效率。
文摘The paper presents the conceptual and operational basis of the creation of IDSS based on our recent research experience. In this paper, an intelligent decision support system, IDSS is defined as: any interactive system that is specially designed to improve the decision making of its user by extending the user's cognitive decision making abilities. As a result, this view of man-machine joint cognitive system stresses the need to use computational technology to aid the user in the decision making process. And the human's role is to achieve total systems's objectives. The paper outlines the designing procedure in successive steps. First, the decision maker's cognitive needs for decision support are identified. Second, the computationally realizable support functions are defined that could be provided by IDSS. Then, the specific techniques that would best fill the decision needs are discussed. And finally, for system implementation the modern computational technology infrastructure is emphasized.
文摘针对部分机电产品在概念设计阶段未综合考虑客户和环境的需求,进而影响产品详细设计的问题,提出了一种基于功能—结构—客户和环境需求(function‒structure‒requirements of customer and environment,FSRce)模型的机电产品绿色概念设计方案生成方法。首先,从案例库中选择合适的功能和结构对现有产品设计树中的节点进行扩展和关联;同时通过数据挖掘、专家打分等方法获得产品的客户和环境需求重要度,以构建基于FSRce模型的产品概念设计空间。然后,先利用加权区间粗糙数法对客户和环境需求重要度进行分析,得到需求相对重要度,再运用模糊质量功能展开(fuzzy quality function deployment,FQFD)将需求相对重要度转化为产品的工程特性权重。最后,利用物元理论构建基于工程特性的产品物元域和各结构物元集,并结合工程特性权重得到各结构的满意度分值,通过比较满意度优选得到满足客户和环境需求的产品概念设计方案。以某小型工业吹风机为例,基于上述方法对其概念设计方案进行优化。相比于原始方案,优化后的吹风机在能源消耗上降低了15.38%,在碳排放上降低了15.32%,且客户满意度提高了44.66%,由此验证了所提出方法的可行性与有效性。所提出的方法为机电产品概念设计方案的生成提供了一种新思路,能更好地辅助设计人员实现对机电产品的绿色设计。
