Thermal buckling analysis of functionally graded thin circular plate made of saturated porous materials M Jabbari, M Hashemitaheri, A Mojahedin, MR Eslami Journal of thermal stresses 37 (2), 202-220, 2014 | 111 | 2014 |
Prediction of specific cutting forces and maximum tool temperatures in orthogonal machining by Support Vector and Gaussian Process Regression Methods M Hashemitaheri, SMR Mekarthy, H Cherukuri Procedia Manufacturing 48, 1000-1008, 2020 | 22 | 2020 |
A Finite Element and Machine Learning Approach for the Prediction of Specific Cutting Forces and Maximum Tool Temperatures During Orthogonal Machining SMR Mekarthy, M Hashemitaheri, H Cherukuri Electronic Transactions on Numerical Analysis 56, 66--85, 2022 | 7* | 2022 |
A deep energy method for the analysis of thermoporoelastic functionally graded beams A Mojahedin, M Hashemitaheri, M Salavati, X Fu, T Rabczuk International Journal of Computational Methods 19 (08), 2143020, 2022 | 4 | 2022 |
Extracting the in-process structural dynamics parameters in micro-milling operations M Hashemitaheri, R Mittal, H Cherukuri, R Singh International Manufacturing Science and Engineering Conference 85819 …, 2022 | 1 | 2022 |
Machining and Chatter Avoidance: Predictive Analytics and Uncertainty Analysis M Hashemitaheri The University of North Carolina at Charlotte, 2023 | | 2023 |
A Multivariate Newton-Raphson Method Approach to Extract Structural Dynamics Parameters During Milling Operations M Hashemitaheri, TT Le, H Cherukuri, T Khan AeroMat Conference and Exposition: AeroMat 2022, Pasadena, CA, USA, 2022 | | 2022 |
A Combined Machine Learning and Multivariate Newton Method Approach to Extract Structural Dynamics Parameters During Milling Operation M Hashemitaheri, M Marandi, J Tarbutton, H Cherukuri ASME International Mechanical Engineering Congress and Exposition (IMECE 2021), 2021 | | 2021 |