The role of machine learning in tribology: A systematic review UMR Paturi, ST Palakurthy, NS Reddy Archives of Computational Methods in Engineering 30 (2), 1345-1397, 2023 | 72 | 2023 |
Modeling and optimization of machining parameters for minimizing surface roughness and tool wear during AISI 52100 steel dry turning UMR Paturi, A Yash, ST Palakurthy, NS Reddy Materials Today: Proceedings 50, 1164-1172, 2022 | 30 | 2022 |
Estimation of abrasive wear of nanostructured WC-10Co-4Cr TIG weld cladding using neural network and fuzzy logic approach UMR Paturi, DG Vanga, S Cheruku, ST Palakurthy, NK Jha Materials Today: Proceedings 78, 449-457, 2023 | 12 | 2023 |
Role of machine learning in additive manufacturing of titanium alloys—a review UMR Paturi, ST Palakurthy, S Cheruku, B Vidhya Darshini, NS Reddy Archives of Computational Methods in Engineering 30 (8), 5053-5069, 2023 | 10 | 2023 |
Machine learning approach to model and predict the shear strength of TZM-graphite joint bonded by spark plasma sintering SKP Kolluru, SDSA Kalvakolanu, SG Chinthapanti, ST Palakurthy Materials Today: Proceedings 92, 1482-1492, 2023 | 2 | 2023 |