Application of infrared thermal imaging technology to measure the surface temperature of electronic components under normal working conditions

Infrared thermal imaging technology has become a powerful tool for measuring the surface temperature of electronic components under normal operating conditions. This paper explores the accurate determination of component surface temperatures, focusing on key factors such as background temperature estimation, target temperature calculation, material selection, transmittance evaluation, and error correction techniques. The rapid development of infrared thermal imaging technology has made it an essential method in thermal management for electronic systems. As electronic devices become more complex, ensuring proper cooling and thermal control is increasingly critical. Infrared imaging offers a non-contact, fast, and efficient way to monitor temperature distribution across surfaces, providing valuable visual insights through thermal images. Additionally, advanced post-processing software enables detailed analysis and research, making it a versatile tool for engineers and researchers. Compared to traditional methods like thermocouples, modern infrared cameras offer significant advantages. They can capture temperature data without physical contact, reducing the risk of interference or damage to sensitive components. Moreover, they are capable of detecting hotspots and irregularities that may not be easily identified using conventional techniques. This makes them particularly useful in identifying overheating or defective components in printed circuit boards under various operational conditions. While computational fluid dynamics (CFD) simulations are widely used in thermal design and evaluation, experimental validation remains crucial. In many cases, electronic components are not uniformly heated, making thermocouples less effective. Infrared thermal imaging can overcome this limitation by providing real-time, spatially resolved temperature measurements. However, accurately measuring true surface temperatures with an infrared camera requires careful consideration. The emissivity of the object’s surface and the surrounding background temperature must be precisely known. In practical scenarios, electronic components are often enclosed within casings, making direct measurement difficult. Some approaches involve using time-based reduction techniques, where the power is turned off, the component is quickly removed, and a thermal image is captured. Based on this data, engineers attempt to estimate the actual temperature under normal operating conditions. While this method has its limitations, it serves as a useful alternative when direct measurement is not feasible. By combining theoretical models with experimental data, infrared thermal imaging continues to play a vital role in improving the thermal performance and reliability of electronic systems.

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