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Prasad KDV Yarlagadda
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Bacterial adherence and biofilm formation on medical implants: a review
S Veerachamy, T Yarlagadda, G Manivasagam, PKDV Yarlagadda
Proceedings of the Institution of Mechanical Engineers, Part H: Journal of …, 2014
4322014
A review on degradation models in reliability analysis
N Gorjian, L Ma, M Mittinty, P Yarlagadda, Y Sun
Engineering asset lifecycle management, 369-384, 2010
3112010
Processing maps and rate controlling mechanisms of hot deformation of electrolytic tough pitch copper in the temperature range 300–950 C
Y Prasad, KP Rao
Materials Science and Engineering: A 391 (1-2), 141-150, 2005
2682005
Bio-mimicking nano and micro-structured surface fabrication for antibacterial properties in medical implants
A Jaggessar, H Shahali, A Mathew, PKDV Yarlagadda
Journal of nanobiotechnology 15 (1), 1-20, 2017
2652017
Recent advances and current developments in tissue scaffolding
PKDV Yarlagadda, M Chandrasekharan, JYM Shyan
Bio-medical materials and engineering 15 (3), 159-177, 2005
2422005
Meeting challenges in welding of aluminum alloys through pulse gas metal arc welding
P Praveen, P Yarlagadda
Journal of Materials Processing Technology 164, 1106-1112, 2005
1772005
Advancements in pulse gas metal arc welding
P Praveen, P Yarlagadda, MJ Kang
Journal of Materials Processing Technology 164, 1113-1119, 2005
1522005
Wayfinding: A simple concept, a complex process
AC Farr, T Kleinschmidt, P Yarlagadda, K Mengersen
Transport Reviews 32 (6), 715-743, 2012
1502012
Digital manufacturing-applications past, current, and future trends
PK Paritala, S Manchikatla, PKDV Yarlagadda
Procedia engineering 174, 982-991, 2017
1492017
Neural network approach to flow stress evaluation in hot deformation
KP Rao, Y Prasad
Journal of Materials Processing Technology 53 (3-4), 552-566, 1995
1151995
Design and development of automatic visual inspection system for PCB manufacturing
NSS Mar, P Yarlagadda, C Fookes
Robotics and computer-integrated manufacturing 27 (5), 949-962, 2011
1122011
A study on prediction of bead height in robotic arc welding using a neural network
IS Kim, JS Son, CE Park, CW Lee, YKDV Prasad
Journal of Materials Processing Technology 130, 229-234, 2002
1112002
Effect of homogenization on the hot deformation behavior of cast AZ31 magnesium alloy
Y Prasad, KP Rao
Materials & Design 30 (9), 3723-3730, 2009
1072009
Hot workability and deformation mechanisms in Mg/nano–Al2O3 composite
Y Prasad, KP Rao, M Gupta
Composites Science and Technology 69 (7-8), 1070-1076, 2009
1022009
Optimal design of neural networks for control in robotic arc welding
IS Kim, JS Son, SH Lee, PKDV Yarlagadda
Robotics and computer-integrated manufacturing 20 (1), 57-63, 2004
992004
Time‐dependent fractional advection–diffusion equations by an implicit MLS meshless method
P Zhuang, YT Gu, F Liu, I Turner, P Yarlagadda
International Journal for Numerical Methods in Engineering 88 (13), 1346-1362, 2011
942011
Statistical analysis on accuracy of wax patterns used in investment casting process
PKDV Yarlagadda, TS Hock
Journal of materials processing technology 138 (1-3), 75-81, 2003
872003
A review on reliability models with covariates
N Gorjian, L Ma, M Mittinty, P Yarlagadda, Y Sun
Engineering Asset Lifecycle Management, 385-397, 2010
852010
A neural network system for the prediction of process parameters in pressure die casting
PKDV Yarlagadda, ECW Chiang
Journal of Materials Processing Technology 89, 583-590, 1999
851999
Effect of crystallographic texture on the kinetics of hot deformation of rolled Mg–3Al–1Zn alloy plate
Y Prasad, KP Rao
Materials Science and Engineering: A 432 (1-2), 170-177, 2006
842006
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