绝缘拼接式磁性槽楔的结构和性能分析

提出了一种绝缘拼接式磁性槽楔的结构，分析了这种槽楔对电机的齿谐波、齿间漏磁、涡流的影响。只要合理地确定结构和参数，绝缘拼接式磁性槽楔不但能提高电机效率，还能提高电机负载能力。     

室内空调条件下围护结构(墙体、屋盖)的隔热控制 ——建筑热环境与节能研究(之一)

该文在自然通风条件下的室内热环境控制条件的基础上,提出空调条件下的室内热环境控制条件,并根据文中所提出的简化公式计算出了围护结构（屋顶、墙）的隔热控制指标,由此拓展了《民用建筑热工设计规范》（GB50176－93）．进而为窗的隔热控制和屋顶、墙的节能控制提供了重要理论基础与简便计算方法。     

关于在用低温液体贮运容器夹层真空度的探讨

简述了我国低温贮运容器真空度判定标准的基本情况。根据《在用压力容器检验规程》中“合于使用”的原则 ,对合理地确定定期检验中夹层真空度的合格标准以及保证低温容器安全使用做了分析和探讨。指出 :以制造标准给定的封结真空度作为定检时的合格标准 ,不合理 ;每台低温容器的真空度降低速率不同 ,导致了真空度的判定标准不同。     

电力变压器的动稳定

在变压器短路电动力的计算中,目前是以静态力代替动态力的方法来进行的。这不能适应变压器机械强度的要求。针对此问题,从电动力的基本理论出发,建立起变压器的动态数学模型,对变压器在短路电流作用下线圈产生的动态力进行了理论分析和计算,对在短路电流作用下的变压器线圈(器身)绝缘结构进行了初步研究,提出了动稳定的计算方法。     

有关SF_6电器标准问题的探讨

SF6气体作为绝缘介质广泛用于变压器、开关装置及电力电缆等高压电器中，就涉及SF6中水分及分解物的标准问题，包括标准自身以及执行标准等进行探讨。     

冷环境下织物保暖性研究

本文研究了冷环境下的织物保暖性。在实验的基础上,对织物的原料、厚度、环境温度、组织等诸因素与热阻的关系作了分析,比较了诸因素对热阻的影响状况,并得到一系列关系图。为新产品在保暖性方面的相关设计提供了依据。     

大型直流电机采用少胶粉云母箔卷包绝缘结构及效益分析

本文通过大型直流电机全部采用单面玻璃布补强少胶粉云母箔卷包的绝缘结构(简称全粉卷包结构)与我厂目前大型直流电机常用的多胶粉云母带,簿膜混合绕包绝缘结构的对比分析,说明全粉卷包结构具有良好的电气性能、经济效益和社会效益.     

Solar optical materials for innovative window design

New and innovative optical materials and coatings can greatly improve the efficiency of window energy systems. These potential materials and coatings increase energy efficiency by reducing radiative losses in the infrared, or reducing visible reflection losses or controlling overheating due to solar gain. Current progress in heat mirror coatings for glass a polymeric substrates is presented. Highly doped semiconducting oxides and metal/dielectric interference coatings are reviewed. Physical and optical properties are outlined for antireflection films and transparent aerogel insulation media. The potential for optical switching films as window elements includes discussions of electrochromic, photochromic and other physical switching processes.     

Modelling of a thermal insulation system based on the coldest temperature conditions by using artificial neural networks to determine performance of building for wall types in Turkey

In formation of building external envelope, as two important criteria, climatic data and wall types must be taken into consideration. In the selection of wall type, the thickness of thermal insulation layer (d_i) must be calculated. As a new approach, this study proposes determining the thermal insulation layer by using artificial neural network (ANN) technique. In this technique five different wall types in four different climatic regions in Turkey have been selected. The ANN was trained and tested by using MATLAB toolbox on a personal computer. As ANN input parameters, U_w, T_e,Met, T_e,TSE, R_wt, and q_TSE were used, while d_i was the output parameter. It was found that the maximum mean absolute percentage error (MRE, %) is less than 7.658%. R² (%) for the training data were found ranging about from 99.68 to 99.98 and R² for the testing data varied between 97.55 and 99.96. These results show that ANN model can be used as a reliable modeling method of d_i studies.     

Evaluating the Sensitivity of Attic Radiant Barrier Performance to Climate Parameters

By employing a calibrated and tested computer model, simulations of ceiling heat transfer in typical residential attics located in 12 locations across the United States were obtained to study the sensitivity of attic radiant barrier performance to local climate parameters. For each location, the net ceiling heat flux over the summer cooling season was computed for an attic with and for an attic without an installed radiant barrier. The net reduction of heat flux induced by the radiant barrier was computed and then related to climate variables. Among the local environmental parameters, the local ambient air temperature, local ambient humidity, and latitude had significant effects on the performance of radiant barriers. It was concluded that the installation of radiant barriers would be most beneficial in regions with high outdoor air temperatures and high relative humidity.