无人机活塞式发动机进排气系统优化

针对一款无人机(UAV)用活塞发动机在飞行转速为6 500r/min时扭矩较低以及燃油消耗率较高的问题,提出了一种基于自适应遗传算法(GA)的发动机进排气系统优化方法,进行进排气系统改进设计。使用GT-Power软件搭建了该发动机一维仿真模型,并通过台架试验数据验证模型;基于该模型进行了进排气系统结构参数对扭矩和燃油消耗率的敏感性分析,将进气管长度、直径、空滤器后腔容积和排气管长度作为优化变量,使用Matlab进行自适应遗传算法优化,使用Simulink/GT-Power接口实现数据采集和优化结果反馈。通过台架试验验证了优化结果的准确性。结果表明:在飞行转速为6 500r/min时,经过优化后的发动机扭矩和燃油消耗率都得到明显改善,扭矩最大可以提高5.51%,燃油消耗率最大降低6.31%。

基于FSC的Honda CBR600发动机排气系统设计

FSC中国大学生方程式汽车大赛对排气系统的要求与民用车不同,其表现在在满足空间布置不干涉的情况下通过对排气管设计最大化优化发动机性能。同时根据赛事要求,噪声检测必须小于110 dB,给消音器的设计带来挑战。通过GT-Power仿真软件分别研究了不同排气歧管长度、不同排气歧管结构、不同消音器结构对发动机动力性及噪声的影响,在此基础上运用Catia软件对排气系统进行建模,借助CFD软件Fluent对排气歧管进行了三维流体仿真分析,对排气管的结构进行了优化。通过合理使用仿真软件分析,为今后排气系统的设计指明了方向,减少了台架试验次数。

Optimization Building Management

This paper demonstrates how achieving optimal integration between design and energy resources management can be particularly attractive in terms of energy consumption saving （cooling and heating） and lowering greenhouse gas emissions. The building automation system is based on innovative middleware framework which simplifies the modeling of a software for intelligent management of buildings and allows a multistandard and multiprotocol integration of sensors and actuators. The project has the target of underlining the economical opportunities and perspectives concerning the smart system adoption. Estimating the effects of home automation is essential to help its implementation, especially now that energy cost represents a consistent part of the house/building consumptions and will increase in the next few years. The results of the framework application in a residential building proves the validity of the proposed solution.