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Maryam Hashemitaheri
Maryam Hashemitaheri
PhD student at UNC Charlotte
Verified email at uncc.edu
Title
Cited by
Cited by
Year
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
1112014
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
222020
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
42022
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
12022
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
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