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High-conductance measurement with the heat flow meter apparatus

机译:使用热流计仪器进行高电导测量

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摘要

Measurement laboratories must be mindful of equipment limitations and increasing uncertainty as the extremes of operational range are approached. For thermal insulation measurement, the prominent issue with more highly-conductive materials is that of interface resistance. Equipment is generally based on the heat flow meter or the guarded hot apparatus, both of which measure the heat flow between flat parallel plates held at different temperatures with the test specimen located between them. Interface resistance occurs between the test specimen and the plates that it contacts. Standards prescribe lower limits of specimen thermal resistance, typically 0.1 m2.K/W. However whilst interface resistance may already be significant at this thermal resistance, measurement is often sought for more-conductive products. This dissertation considers a number of aspects of such measurements, in all cases proposing the use of flexible buffer materials at the interface between the test specimen and the apparatus plates in order to provide lower interface resistance. The use of this solution is seldom reported although it is described in some standards where it is also suggested that buffers of very low thermal resistance are required in order to minimize errors. However this would require them to be very thin and potentially ineffective. An alternative prospect has been explored, that of using thicker, softer interface materials to ensure good specimen contact. Separate measurement of the interface materials, in conjunction with an error analysis allows thermal resistance to be calculated as the difference between these measurements with known uncertainty. Chapter 2 describes a study using the difference approach to measure twelve highly-conducting specimens in conjunction with four foamed plastic buffer materials, based on PVC, silicone, EVA and nitrile. The specimens ranged from aluminium sheet to fluted plastic board. Compared with direct measurement, thermal resistance values via difference measurement were lower by between 0.003 and 0.01 m2.K/W, depending on specimen and buffer choice. Silicone sponge gave the most uniform results. Compression tests showed that it also displayed the lowest deformation hysteresis. An analysis of the difference calculation is given, showing it to be numerically inexact since there are residual interface-resistance terms that are not present in both measurement cases. Chapter 3 describes a further study of the difference technique in conjunction with flexible buffer materials, extending the procedure to materials of higher thermal resistance and to thinner, harder buffers. An alternative difference calculation is proposed to eliminate residual resistance terms through comparing results for the unknown specimen and for a reference specimen with similar surface characteristics and known properties, measured using the same buffers. Specimens of expanded polystyrene board and cast acrylic sheet were measured in the heat flow meter apparatus using two alternative silicone-based buffer materials, one solid and the other a sponge. Analysis also includes earlier measurements of twelve more highly-conducting specimens, adjusting for the residual error terms. Across all of these, thermal resistance values obtained by the difference method were lower by between 0.008 m2.K/W and 0.016 m2.K/W, attributable to removing the contribution of interface resistance. In Chapter 4, a technique incorporating buffer materials is proposed for measuring the thermal conductivity of moist earthen and granular loose fill materials. Transient methods involving needle and other probes are also reviewed but it is concluded that a steady state approach offers reliable uncertainty estimation and a test method that is widely accepted in industry. Variations to the standard loose-fill method are proposed, including the use of a rigid holding frame with stiff base and silicone sponge buffer sheets, in conjunction with difference measurement to factor out the contributions from base, buffers and contact resistance. Using this approach, consistent results were obtained for loose-fill earths based on scoria, terracotta and furnace-ash at different moisture contents. Thermal resistance ranged from 0.08 to 0.4 m2.K/W. Thermal conductivity fitted well to linear regression plots against moisture content. Further comparative measurements of a single specimen showed that direct measurement was less consistent than difference measurement, and that indicated thermal resistance was higher by 0.023 m2.K/W, this effectively being a measure of the interface resistance. Chapter 5 explores earlier evidence that high-conductance materials with rough surfaces, (such as many building boards), are measured to have higher thermal resistance and higher test thickness when measured with harder buffers. Results from an experimental study of nine materials and four buffer types are reported. Thermal resistance was higher by up to 0.01 m2.K/W and thickness by up to 0.5 mm using the hardest buffer relative to the softest. An analytical model was developed, allowing measured roughness to be expressed as flat high and low areas of varying height and area fraction so that thermal resistance and height variations could be predicted as a function of roughness. Predictions were consistent with optical roughness measurements. The model further predicted that interface-resistance errors are proportional to surface roughness and are always present with harder buffers, typically reaching 010 m2.K/W for a mean roughness amplitude () of 200 μm. However with softer buffers these errors are absent below an onset level, typically at an value of 60 μm. Chapter 6 describes heat flow meter measurements and transient thermal modelling using ANSYS of a webbed, hollow-cored panel with silicone sponge buffer materials chosen to provide boundary conditions comparable to standard surface coefficients. Surface temperatures were also measured at eight locations for an uninsulated configuration as well as with bulk insulation filling. Measured and modelled temperature-time plots agreed well after corrections for web and airspace thermal conductivity. Modelled spatial variation in heat flow exceeded 200 % for one insulated case but was only about 2 % for the uninsulated panel. Modelled values for heat flux and overall thermal resistance agreed well with standard analytical calculations. However heat flows indicated by the apparatus were consistently higher than the modelled and calculated values by up to 8 %, expected to be due at least partially to specimen non-homogeneity. Nevertheless results suggest a useful role for the apparatus in providing temperature measurement under controlled conditions and helping to validate thermal modelling.
机译:测量实验室必须注意设备的局限性以及随着接近工作范围的极限而增加的不确定性。对于热绝缘测量,高导电材料的主要问题是界面电阻。设备通常基于热流量计或受保护的热设备,这两种设备均测量保持在不同温度的平行平板之间的热流,并在平板之间放置测试样品。界面电阻发生在试样和它接触的板之间。标准规定了样品热阻的下限,通常为0.1 m2.K / W。然而,尽管在这种热阻下界面电阻可能已经很重要,但通常还是需要对导电性更高的产品进行测量。本文考虑了这种测量的许多方面,在所有情况下都建议在试样和设备板之间的界面处使用柔性缓冲材料,以提供较低的界面电阻。尽管在某些标准中对此解决方案进行了描述,但很少报告使用该解决方案,在该标准中还建议使用要求非常低热阻的缓冲器以最大程度地减少误差。但是,这将要求它们非常薄并且可能无效。已探索出另一种前景,即使用更厚,更软的界面材料以确保良好的样品接触。界面材料的单独测量以及误差分析允许将热阻计算为这些测量之间的差(已知不确定性)。第2章介绍了一项研究,使用差异方法结合12种高导电性样品以及基于PVC,硅树脂,EVA和腈的四种泡沫塑料缓冲材料进行测量。样品范围从铝板到带凹槽的塑料板。与直接测量相比,通过差值测量的热阻值降低了0.003至0.01 m2.K / W,具体取决于样品和缓冲液的选择。硅胶海绵给出了最均匀的结果。压缩测试表明,它也显示出最低的变形滞后。给出了对差值计算的分析,表明它在数值上是不精确的,因为在两种测量情况下都没有剩余的界面电阻项。第3章介绍了与柔性缓冲材料结合使用的差异技术的进一步研究,将程序扩展到了具有更高耐热性的材料以及更薄,更硬的缓冲材料。提出了另一种差异计算方法,通过比较使用相同缓冲液测量的未知样品和具有相似表面特性和已知特性的参考样品的结果来消除残余电阻项。在热流量计设备中,使用两种替代的有机硅基缓冲材料(一种为固体,另一种为海绵)测量膨胀聚苯乙烯板和丙烯酸浇铸板的样品。分析还包括更早地测量十二个导电性更高的样本,并根据残余误差项进行调整。在所有这些方面,通过差值方法获得的热阻值都在0.008 m2.K / W和0.016 m2.K / W之间,这是由于消除了界面电阻的影响。在第4章中,提出了一种结合缓冲材料的技术,用于测量湿土和粒状疏松填充材料的热导率。还回顾了涉及针头和其他探针的瞬态方法,但得出的结论是,稳态方法可提供可靠的不确定性估计,并且是业界广泛接受的测试方法。建议采用标准的松散填充方法,包括使用带有刚性底座和硅胶海绵缓冲片的刚性支撑框架,并结合差值测量以排除底座,缓冲剂和接触电阻的影响。使用这种方法,在不同含水量的情况下,对于基于碎石,陶土和炉灰的疏松土获得了一致的结果。热阻范围为0.08至0.4 m2.K / W。热导率非常适合针对水分含量的线性回归图。单个样品的进一步比较测量结果表明,直接测量的结果与差值测量的结果不一致,并且表明热阻高出0.023 m2.K / W,这实际上是对界面电阻的一种度量。第5章探讨了较早的证据,即具有粗糙表面的高电导材料(例如许多建筑板)当使用较硬的缓冲液进行测量时,会被认为具有更高的热阻和更高的测试厚度。报告了对九种材料和四种缓冲剂类型的实验研究结果。相对于最软的缓冲层,最硬的缓冲层的热阻高达0.01 m2.K / W,厚度高达0.5 mm。开发了一种分析模型,可以将测得的粗糙度表示为高度和面积分数变化的平坦高低区域,从而可以预测热阻和高度变化随粗糙度的变化。预测与光学粗糙度测量结果一致。该模型进一步预测界面电阻误差与表面粗糙度成比例,并且在较硬的缓冲器中总是存在,对于平均粗糙度幅度(μm)为200μm,通常达到010m2.K / W。然而,对于较软的缓冲器,在开始水平以下(通常在60μm的值)以下不存在这些误差。第6章介绍了使用带硅酮海绵缓冲材料的带网状空心板的ANSYS进行的热流量计测量和瞬态热建模,该材料经选择可提供与标准表面系数相当的边界条件。对于非绝缘配置以及大量绝缘填充,还在八个位置测量了表面温度。在对腹板和空域热导率进行校正后,实测和建模的温度-时间图非常吻合。对于一种隔热箱体,模型化的热流空间变化超过200%,但对于非隔热板,仅为2%左右。热通量和总热阻的模型值与标准分析计算非常吻合。但是,设备指示的热流始终比建模和计算的值高8%,这至少部分是由于样品的不均匀性所致。然而,结果表明该设备在控制条件下提供温度测量并帮助验证热建模方面发挥了有用的作用。

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    Clarke R;

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