研究目的
To develop a cost-effective thermophysical property test system using a laser point heat source method for measuring the thermal conductivity and thermal diffusivity of isotropic materials.
研究成果
The developed thermophysical property test system using a laser point heat source method is feasible both in principle and in technological applications. It provides accurate and stable measurements for materials with low thermal conductivity, with a maximum relative deviation from the reference value of 2.04%. The system's hardware cost is significantly reduced compared to traditional laser flash methods.
研究不足
The device is suitable only for materials with low thermal conductivity (less than 3 W∕(m ? K)) and low thermal diffusivity. The test results fluctuate, with a maximum repeatable accuracy error of 4.75%.
1：Experimental Design and Method Selection:
Based on the unsteady heat transfer model of a laser point heat source, the enantiomorphous heat source theory was introduced to modify the influence of an adiabatic boundary on the temperature rise of a measuring point. The thermal conductivity and thermal diffusivity were calculated by numerical analysis combined with computer programming.
2：Sample Selection and Data Sources:
Samples of blast furnace firebrick, marble, and diatomite brick were selected for testing. Temperature changes were detected by a PT100 platinum resistance temperature sensor.
3：List of Experimental Equipment and Materials:
The test system consisted of an experiment box, a laser transmitter (STL915TI-25.0 W fiber-coupled laser system), a data-acquisition system, and a vacuum pump.
4：0 W fiber-coupled laser system), a data-acquisition system, and a vacuum pump.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The laser point heat source continuously heated the tested samples. The temperature rise of monitoring points in the sample was used to calculate the thermophysical properties of materials using an inverse analysis method.
5：Data Analysis Methods:
The thermal diffusivity and thermal conductivity were calculated using numerical analysis and computer programming based on the temperature rise data.
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