ABSTRACT

This paper presents an experimental inverse approach to simultaneously estimate the temperature-dependent thermal properties of AISI 316 stainless steel. The heat flux conducted to the sample was corrected by using a transducer, evaluating contact resistance at microscopic level, and performing experiments under vacuum. Estimates were severely biased when heat flux correction was not applied. Metaheuristics were used to enlarge the search space, which can cover the thermal properties of all known metallic materials, thereby taking advantage of better thermal modeling adequacy. The estimation reliability was shown by comparison with literature data, statistical significance, uncertainty analysis, and inverse heat flux retrieval.

摘要

本文提出了一种实验逆向方法来同时估计 AISI 316 不锈钢的温度相关热性能。通过使用换能器、在微观水平上评估接触电阻并在真空下进行实验来校正传导到样品的热通量。当不应用热通量校正时，估计值存在严重偏差。元启发式用于扩大搜索空间，可以涵盖所有已知金属材料的热特性，从而利用更好的热建模充分性。通过与文献数据的比较、统计显着性、不确定性分析和逆热通量反演来显示估计的可靠性。