MATERIAL DATA PROCESSING DEVICE AND METHOD

To provide a material data processing device and method that enable easy data acquisition and highly accurate estimation.SOLUTION: A material data processing device 1 comprises: a regression model creation processing section 26 that performs machine learning using two or more pieces of data including structure data 64 out of process data 61, composition data 62, characteristics data 63, and the structure data 64, and creates a regression model 33 representing a correlation between respective data; and an estimation processing section 27 that estimates the process data 61, the composition data 62, the characteristics data 63, or the structure data 64, having been used for the machine learning, using the regression model 33, The structure data 64 includes a feature amount difference that is a difference between a feature amount during heating as a feature amount on the basis of magnetization temperature dependence during heating and a feature amount during cooling as a feature amount on the basis of magnetization temperature dependence during cooling.SELECTED DRAWING: Figure 1 【課題】データ取得が容易で、精度の高い推定が可能な材料データ処理装置及び方法を提供する。【解決手段】材料データ処理装置１は、プロセスデータ６１、組成データ６２、特性データ６３、及び組織データ６４のうち、組織データ６４を含む２つ以上のデータを用いて機械学習を行い、各データの相関性を表す回帰モデル３３を作成する回帰モデル作成処理部２６と、回帰モデル３３を用いて、機械学習に用いたプロセスデータ６１、組成データ６２、特性データ６３、または組織データ６４のいずれかを推定する推定処理部２７と、を備え、組織データ６４は、加熱時の磁化温度依存性に基づく特徴量である加熱時特徴量と冷却時の磁化温度依存性に基づく特徴量である冷却時特徴量との差分である差分特徴量を含む。【選択図】図１