| Robust prediction and validation of as-built density of Ti-6Al-4V parts manufactured via selective laser melting using a machine learning approach V Maitra, J Shi, C Lu Journal of Manufacturing Processes 78, 183-201, 2022 | 20 | 2022 |
| Evaluating the Predictability of Surface Roughness of Ti‐6Al‐4V Alloy from Selective Laser Melting V Maitra, J Shi Advanced Engineering Materials, 2023 | 3 | 2023 |
| Surface Roughness Prediction for Additively Manufactured Ti-6Al-4V Components Based on Supervised Learning Models V Maitra, J Shi International Manufacturing Science and Engineering Conference 85802 …, 2022 | 3 | 2022 |
| Predictability assessment of as-built hardness of Ti-6Al-4V alloy fabricated via laser powder bed fusion V Maitra, J Shi Manufacturing Letters 35, 785-796, 2023 | 2 | 2023 |
| Modelling and process optimization for relative density of Ti6Al4V produced by selective laser melting: a data-driven study C Lu, J Shi, V Maitra The International Journal of Advanced Manufacturing Technology 121 (3), 1973 …, 2022 | 2 | 2022 |
| Virtual Metrology in Semiconductor Manufacturing: Current Status and Future Prospects V Maitra, Y Su, J Shi Expert Systems with Applications, 123559, 2024 | 1 | 2024 |
| Modeling and Predicting Density, Surface Roughness, and Hardness of As-Built Ti-6Al-4V Alloy Manufactured via Selective Laser Melting V Maitra University of Cincinnati, 2022 | | 2022 |
Jing ShiUniversity of Cincinnati在 uc.edu 的电子邮件经过验证
Jing ShiUniversity of Cincinnati在 uc.edu 的电子邮件经过验证