Inverse Prediction of Alloy Composition Based on Physical Properties of Superalloys Modeled by the CALPHAD Methodology Using Explainable Artificial Intelligence

ALACA YUSUF,UZUNOĞLU YUSUF

YAYIN ID:

9597472

KAPSAM AD:

Uluslararası

BILDIRI TUR:

Özet bildiri

BILDIRI ADI:

Inverse Prediction of Alloy Composition Based on Physical Properties of Superalloys Modeled by the CALPHAD Methodology Using Explainable Artificial Intelligence

YAZAR ADI:

ALACA YUSUF,UZUNOĞLU YUSUF

ETKINLIK ADI:

International Conference on Advances in Electrical-Electronics Engineering and Computer Science

YAYIN DILI ADI:

İngilizce

YAYIN DURUMU AD:

Yayımlanmış

BASIM TARIHI:

11.11.2024

DOI:

BASIM TURU AD:

Elektronik

ERISIM LINKI:

https://www.iceeecs.com/2024/ICEEECS2024_Proceedings.pdf

ALAN BILGISI:

Mühendislik Temel Alanı>Malzeme ve Metalurji Mühendisliği>CALPHAD Methodology,Explainable Artificial Intelligence (XAI),Superalloys,Alloy Composition Prediction,Artificial Neural Networks (ANNs),Physical Properties Modeling

BILDIRI SUNUM TURU AD:

Sözlü Sunum

ETKINLIK BIT TARIHI:

10.11.2024

ETKINLIK BAS TARIHI:

09.11.2024