Harish P. Cherukuri

Affiliations: 
Mechanical Engineering (PhD) University of North Carolina, Charlotte, Charlotte, NC, United States 
Area:
Mechanical Engineering
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"Harish Cherukuri"

Parents

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Tarek Shawki grad student 1990-1994 UIUC
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Publications

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Hashemitaheri M, Mekarthy SMR, Cherukuri H. (2020) Prediction of specific cutting forces and maximum tool temperatures in orthogonal machining by Support Vector and Gaussian Process Regression Methods Procedia Manufacturing. 48: 1000-1008
Cherukuri H, Perez-Bernabeu E, Selles MA, et al. (2019) A neural network approach for chatter prediction in turning Procedia Manufacturing. 34: 885-892
Shahinian H, Cherukuri H, Mullany B. (2018) Evaluation of fiber-based tools for glass polishing using experimental and computational approaches. Applied Optics. 55: 4307-16
Shahinian H, Hassan M, Cherukuri H, et al. (2017) Fiber-based tools: material removal and mid-spatial frequency error reduction. Applied Optics. 56: 8266-8274
Mariayyah R, Patten JP, Cherukuri HP. (2012) Relationship between machining forces and diamond tool wear during ductile regime machining of silicon nitride Machining Science and Technology. 16: 53-70
Smith S, Wilhelm R, Dutterer B, et al. (2012) Sacrificial structure preforms for thin part machining Cirp Annals - Manufacturing Technology. 61: 379-382
Ling X, Cherukuri HP, Horstemeyer MF. (2006) A hybrid regularization method for inverse heat conduction problems International Journal For Numerical Methods in Engineering. 65: 2246-2264
Ling X, Cherukuri HP, Smelser RE, et al. (2005) The effect of quench paths on hardness in an infinitely long aluminium cylinder International Journal of Materials and Product Technology. 24: 347-360
Keanini RG, Ling X, Cherukuri HP. (2005) A modified sequential function specification finite element-based method for parabolic inverse heat conduction problems Computational Mechanics. 36: 117-128
Ajjarapu SK, Fesperman RR, Patten JA, et al. (2004) Ductile regime machining of silicon nitride: A numerical study using Drucker-Prager material model Transactions of the North American Manufacturing Research Institute of Sme. 32: 519-524
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