Aalok U Gaitonde, Justin A Weibel, Amy M Marconnet
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The spatiotemporal temperature data are analyzed via an inverse fitting algorithm to extract thermal conductivities in the in-plane orthotropic directions that best adhere to the governing heat conduction equation. Using this algorithm, we present an approach to simultaneously fit data across multiple heating frequencies, which improves measurement sensitivity because the thermal penetration depth varies with frequency. The accuracy of this technique is assessed by tuning experimental parameters such as sample dimensions and heating frequency. A standardized workflow is proposed for measuring unknown materials and for processing the data, including filtering out regions influenced by laser absorption and heat sink boundary effects. Numerical simulations validate the method across a wide range of thermal conductivities (0.1-1000 W m-1 K-1) and material thicknesses (0.1-10 mm), with accuracy demonstrated for anisotropy ratios up to 1000:1. Experimental measurements on isotropic and anisotropic materials agree well with the benchmark values. Ultimately, standardization of this technique supports the development of engineered anisotropic heat-spreading materials for thermal management and packaging applications.</p>","PeriodicalId":21111,"journal":{"name":"Review of Scientific Instruments","volume":"96 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Range and accuracy of in-plane anisotropic thermal conductivity measurement using the laser-based Ångstrom method.\",\"authors\":\"Aalok U Gaitonde, Justin A Weibel, Amy M Marconnet\",\"doi\":\"10.1063/5.0238285\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>High heat fluxes in electronic devices must be effectively dissipated to prevent local hotspots, which are critical for long-term device reliability. 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The accuracy of this technique is assessed by tuning experimental parameters such as sample dimensions and heating frequency. A standardized workflow is proposed for measuring unknown materials and for processing the data, including filtering out regions influenced by laser absorption and heat sink boundary effects. Numerical simulations validate the method across a wide range of thermal conductivities (0.1-1000 W m-1 K-1) and material thicknesses (0.1-10 mm), with accuracy demonstrated for anisotropy ratios up to 1000:1. Experimental measurements on isotropic and anisotropic materials agree well with the benchmark values. 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引用次数: 0
摘要
电子设备中的高热流必须有效消散,以防止局部热点,这对设备的长期可靠性至关重要。特别是,先进的半导体封装趋向于薄尺寸产品,这增加了理解和改善各向异性材料中平面内导热扩散的需求。基于二维激光的Ångstrom方法是传统Ångstrom和锁定热成像技术的扩展,可测量各向异性片状材料的面内热性能。该方法采用非接触式红外测温法测量悬浮样品中心周期性激光加热的热响应。通过反拟合算法对时空温度数据进行分析,提取最符合控制热传导方程的平面内正交异性方向的导热系数。利用该算法,我们提出了一种同时拟合多个加热频率数据的方法,由于热渗透深度随频率变化,因此提高了测量灵敏度。通过调整样品尺寸和加热频率等实验参数来评估该技术的准确性。提出了一种测量未知物质和处理数据的标准化工作流程,包括过滤掉受激光吸收和热沉边界效应影响的区域。数值模拟验证了该方法在很大范围内的导热系数(0.1-1000 W m-1 K-1)和材料厚度(0.1-10 mm),其各向异性比的精度高达1000:1。各向同性和各向异性材料的实验测量值与基准值吻合良好。最终,该技术的标准化支持热管理和包装应用的工程各向异性热传播材料的发展。
Range and accuracy of in-plane anisotropic thermal conductivity measurement using the laser-based Ångstrom method.
High heat fluxes in electronic devices must be effectively dissipated to prevent local hotspots, which are critical for long-term device reliability. In particular, advanced semiconductor packaging trends toward thin form factor products increase the need for understanding and improving in-plane conduction heat spreading in anisotropic materials. The 2D laser-based Ångstrom method, an extension of traditional Ångstrom and lock-in thermography techniques, measures in-plane thermal properties of anisotropic sheet-like materials. This method uses non-contact infrared temperature mapping to measure the thermal response to periodic laser heating at the center of a suspended sample. The spatiotemporal temperature data are analyzed via an inverse fitting algorithm to extract thermal conductivities in the in-plane orthotropic directions that best adhere to the governing heat conduction equation. Using this algorithm, we present an approach to simultaneously fit data across multiple heating frequencies, which improves measurement sensitivity because the thermal penetration depth varies with frequency. The accuracy of this technique is assessed by tuning experimental parameters such as sample dimensions and heating frequency. A standardized workflow is proposed for measuring unknown materials and for processing the data, including filtering out regions influenced by laser absorption and heat sink boundary effects. Numerical simulations validate the method across a wide range of thermal conductivities (0.1-1000 W m-1 K-1) and material thicknesses (0.1-10 mm), with accuracy demonstrated for anisotropy ratios up to 1000:1. Experimental measurements on isotropic and anisotropic materials agree well with the benchmark values. Ultimately, standardization of this technique supports the development of engineered anisotropic heat-spreading materials for thermal management and packaging applications.
期刊介绍:
Review of Scientific Instruments, is committed to the publication of advances in scientific instruments, apparatuses, and techniques. RSI seeks to meet the needs of engineers and scientists in physics, chemistry, and the life sciences.