Conditional emissivity prior for improved Bayesian pyrometry estimates of advanced high strength steel
收藏DataCite Commons2026-01-26 更新2026-02-08 收录
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https://borealisdata.ca/citation?persistentId=doi:10.5683/SP3/MB9OON
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资源简介：
This dataset contains the experimental measurements from annealing DP980, DP780 and IF steel samples, as well as the MATLAB code for obtained from predicting the steel temperature using a Bayesian Pyrometry model with a conditional emissivity prior. All the data collection and analysis procedures are detailed in the accompanying paper.
提供机构：
Borealis
创建时间：
2025-11-24
