CORTEXA
← Browse

Saurabh Tiwari

2 papers indexed

crossrefMetals2026-04-24

Physics-Informed Neural Networks for Process Optimization in Laser Powder Bed Fusion of Inconel 718 Superalloy: A Data-Efficient, Physics-Constrained Machine Learning Framework

Saurabh Tiwari, Seong Jun Heo, Nokeun Park

This study aimed to develop and validate a physics-informed neural network (PINN) framework for data-efficient and physically consistent process optimization in the laser powder bed fusion (LPBF) of Inconel 718 (IN718) superalloy. Laser powder bed fusion (LPBF) is widely adopted…

View free PDFSource page
crossrefMaterials2026-04-15Cited by 1

Prediction of Hole Expansion Ratio in Advanced High-Strength Steels Using Physics-Informed Machine Learning

Saurabh Tiwari, Khushbu Dash, Seongjun Heo, Nokeun Park, Nagireddy Gari Subba Reddy

The hole expansion ratio (HER) is a critical formability metric for advanced high-strength steels (AHSS) in automotive applications; however, its experimental determination is costly and time-consuming. This study presents a machine learning framework for HER prediction using phy…

View free PDFSource page