为实现在役机械通风冷却塔循环水蒸发损失深度回收,提出了有限空间型冷却塔(confined space cooling tower,CSCT)概念。设计了机械通风CSCT冷凝消雾收水装置结构模型;并建立了装置设计数学模型。构建了装置设计软件流程,基于C++Builder...为实现在役机械通风冷却塔循环水蒸发损失深度回收,提出了有限空间型冷却塔(confined space cooling tower,CSCT)概念。设计了机械通风CSCT冷凝消雾收水装置结构模型;并建立了装置设计数学模型。构建了装置设计软件流程,基于C++Builder耦合水物性数据库开发了机械通风冷却塔凝消雾收水装置设计计算软件,实现了机械通风冷却塔冷凝消雾和水深度回收,并通过软件仿真计算实例预测了CSCT冷凝除雾收水装置性能和完成装置阻力优化。研究结果为在役机械通风CSCT冷凝消雾收水装置技术开发设计提供了理论基础和工具性软件支持。展开更多
The attitude adjustment of rope system faces the challenging due to the difficulty in obtaining accurate three-dimensional(3D)mathematical model and solving by traditional methods.A set of adjustment systems is design...The attitude adjustment of rope system faces the challenging due to the difficulty in obtaining accurate three-dimensional(3D)mathematical model and solving by traditional methods.A set of adjustment systems is designed and used to investigate the automatic control for level or preset attitude adjustment of unknown weights and eccentric loads.The system principle and characteristics are analyzed.The 3D model is decomposed into two two-dimensional(2D)subsystems,and an adaptive fuzzy controller based on BP neural network and least squares(LSE)is designed.The simulation experiment uses MATLAB to train the level-adjustment data for testing algorithm,and a small load is used to verify the effectiveness of the system.The experimental results show that precise attitude adjustment can be achieved within the system load range,and the response speed is fast.This adjustment method provides a fast and effective method for precise adjustment of the load attitude.展开更多
文摘为实现在役机械通风冷却塔循环水蒸发损失深度回收,提出了有限空间型冷却塔(confined space cooling tower,CSCT)概念。设计了机械通风CSCT冷凝消雾收水装置结构模型;并建立了装置设计数学模型。构建了装置设计软件流程,基于C++Builder耦合水物性数据库开发了机械通风冷却塔凝消雾收水装置设计计算软件,实现了机械通风冷却塔冷凝消雾和水深度回收,并通过软件仿真计算实例预测了CSCT冷凝除雾收水装置性能和完成装置阻力优化。研究结果为在役机械通风CSCT冷凝消雾收水装置技术开发设计提供了理论基础和工具性软件支持。
基金National Natural Science Foundation of China(No.61605177)
文摘The attitude adjustment of rope system faces the challenging due to the difficulty in obtaining accurate three-dimensional(3D)mathematical model and solving by traditional methods.A set of adjustment systems is designed and used to investigate the automatic control for level or preset attitude adjustment of unknown weights and eccentric loads.The system principle and characteristics are analyzed.The 3D model is decomposed into two two-dimensional(2D)subsystems,and an adaptive fuzzy controller based on BP neural network and least squares(LSE)is designed.The simulation experiment uses MATLAB to train the level-adjustment data for testing algorithm,and a small load is used to verify the effectiveness of the system.The experimental results show that precise attitude adjustment can be achieved within the system load range,and the response speed is fast.This adjustment method provides a fast and effective method for precise adjustment of the load attitude.
