Abstract: Based on the experiment of determining the thermal conductivity of solids using the steady-state method，this study aims to explore a more optimal method for processing experimental data． By employing Excel，Matlab，and Mathematical software tools，polynomial and exponential model fittings were conducted on the temperature-time relationship of the heat-dissipating disk． Goodness of fit (Ｒ 2 )，Akaike Information Criterion (AIC)，and root mean square error (ＲMSE)are respectively used to analyze the goodness of different fitting models in processing experimental data，in order to more effectively distinguish the best fitting scheme for data processing． The analysis results show that the polynomial fourth-order fitting model demonstrates the best goodness of fit when processing experimental data，effectively enhancing the accuracy of data processing． This study provides a referential fitting scheme and evaluation method for optimizing the
processing of experimental data，and proposes a feasible research approach for improving experimental precision．
叶子轩, 吴秀梅. 基于稳态法测量热导系数实验数据的优化处理研究#br#[J]. 大学物理实验, 2025, 38(5): 82-87.
YE Zixuan, WU Xiumei . Ｒesearch on Data Optimization Processing Based on the Steady-State Method for Measuring Thermal Conductivity Coefficient Experiment#br#. Physical Experiment of College, 2025, 38(5): 82-87.
