Prasad KDV Yarlagadda

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YuanTong Gu (Y.T. Gu)Professor of Mechanical Engineering, Queensland University of TechnologyVerified email at qut.edu.au
Clinton FookesQueensland University of TechnologyVerified email at qut.edu.au
Dr Azharul KarimAssociate Professor, Queensland University of TechnologyVerified email at qut.edu.au
Vamsi Krishna MadasuSystra Scott ListerVerified email at systra.com
Michael SchuetzQueensland University of TechnologyVerified email at qut.edu.au
Arnold WiliemPrincipal Engineer in Deep Learning, Sentient Vision Systems; Adjunct Senior Fellow, UQVerified email at uq.edu.au
Maryam ShirmohammadiUniversity of South AustraliaVerified email at unisa.edu.au
Dr Tuquabo TesfamichaelSenior Lecturer, Queensland University of TechnologyVerified email at qut.edu.au
Adekunle OloyedeQueensland University of TechnologyVerified email at qut.edu.au
Anna Charisse FarrQueensland University of TechnologyVerified email at qut.edu.au
Dr. Suvash C. Saha (সুভাষ চন্দ্র সাহা)Senior Lecturer at the University of Technology SydneyVerified email at uts.edu.au
Ian W TurnerProfessor of Computational MathematicsVerified email at qut.edu.au
Zenon PawlakProfessor of Biotribiology, University of Economy, Bydgoszcz, PLVerified email at xmission.com
Dr Manab Kumar DasProfessor, Indian Institute of Technology KharagpurVerified email at mech.iitkgp.ernet.in
Dr. Ismet P. Ilyas, M.Eng.Sc.Design Engineering Department, Politeknik Manufaktur (POLMAN) BandungVerified email at polman-bandung.ac.id
Ayodele Oladimeji OlofinjanaSchool of Science and Engineering, University of The Sunshine CoastVerified email at usc.edu.au
Clayton AdamQueensland University of TechnologyVerified email at qut.edu.au
Taizan ChanDirector of Research and Education Analytics, National University of SingaporeVerified email at nus.edu.sg
Sheila DevasahayamLecturerVerified email at federation.edu.au
Bambang TrigunarsyahRMIT UniversityVerified email at rmit.edu.au

Prasad KDV Yarlagadda

Professor in Smart Systems, Queensland University of Technology

Verified email at qut.edu.au - Homepage

AI Applications in Manufacturing Rapid prototyping and rapid toolings welding automation biomedical scaffolding modelling an


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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	299	2014
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	259	2010
Influence of EDM pulse energy on the surface integrity of martensitic steels JC Rebelo, AM Dias, D Kremer, JL Lebrun Journal of Materials Processing Technology 84 (1-3), 90-96, 1998	255	1998
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	248	2005
Recent advances and current developments in tissue scaffolding PKDV Yarlagadda, M Chandrasekharan, JYM Shyan Bio-medical materials and engineering 15 (3), 159-177, 2005	219	2005
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	150	2017
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	148*	2005
Advancements in pulse gas metal arc welding P Praveen, P Yarlagadda, MJ Kang Journal of Materials Processing Technology 164, 1113-1119, 2005	132	2005
Wayfinding: A simple concept, a complex process AC Farr, T Kleinschmidt, P Yarlagadda, K Mengersen Transport Reviews 32 (6), 715-743, 2012	122	2012
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	108	1995
Effect of homogenization on the hot deformation behavior of cast AZ31 magnesium alloy Y Prasad, KP Rao Materials & Design 30 (9), 3723-3730, 2009	101	2009
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	101	2002
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	96	2009
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	90	2011
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	90	2004
Digital manufacturing-applications past, current, and future trends PK Paritala, S Manchikatla, PKDV Yarlagadda Procedia engineering 174, 982-991, 2017	89	2017
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	87	2011
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	82	2003
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	81	2006
Prediction of welding parameters for pipeline welding using an intelligent system IS Kim, YJ Jeong, CW Lee, PKDV Yarlagadda The International Journal of Advanced Manufacturing Technology 22 (9), 713-719, 2003	80	2003

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