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Rajesh S. Ransing
Rajesh S. Ransing
Associate Professor, Swansea University
Verified email at swansea.ac.uk
Title
Cited by
Cited by
Year
Powder compaction modelling via the discrete and finite element method
RS Ransing, DT Gethin, AR Khoei, P Mosbah, RW Lewis
Materials & Design 21 (4), 263-269, 2000
1312000
Application of neural computing in basic oxygen steelmaking
IJ Cox, RW Lewis, RS Ransing, H Laszczewski, G Berni
Journal of materials processing technology 120 (1-3), 310-315, 2002
1002002
A discrete deformable element approach for the compaction of powder systems
DT Gethin, RW Lewis, RS Ransing
Modelling and simulation in Materials Science and Engineering 11 (1), 101, 2002
902002
Numerical comparison of a deformable discrete element model and an equivalent continuum analysis for the compaction of ductile porous material
DT Gethin, RS Ransing, RW Lewis, M Dutko, AJL Crook
Computers & Structures 79 (13), 1287-1294, 2001
872001
An improved conjugate gradient based learning algorithm for back propagation neural networks
NM Nawi, RS Ransing, MR Ransing
International Journal of Computer and Information Engineering 2 (6), 2062-2071, 2008
802008
An improved back propagation neural network algorithm on classification problems
NM Nawi, RS Ransing, MNM Salleh, R Ghazali, NA Hamid
Database Theory and Application, Bio-Science and Bio-Technology …, 2010
782010
An improved learning algorithm based on the Broyden-Fletcher-Goldfarb-Shanno (BFGS) method for back propagation neural networks
NM Nawi, MR Ransing, RS Ransing
Sixth International Conference on Intelligent Systems Design and …, 2006
742006
Risk based uncertainty quantification to improve robustness of manufacturing operations
C Giannetti, RS Ransing
Computers & Industrial Engineering 101, 70-80, 2016
632016
A correlation to describe interfacial heat transfer during solidification simulation and its use in the optimal feeding design of castings
RW Lewis, RS Ransing
Metallurgical and Materials Transactions B 29, 437-448, 1998
531998
A semantically constrained Bayesian network for manufacturing diagnosis
RW Lewis, RS Ransing
International journal of production research 35 (8), 2171-2188, 1997
531997
The optimal design of interfacial heat transfer coefficients via a thermal stress model
RW Lewis, RS Ransing
Finite Elements in Analysis and Design 34 (2), 193-209, 2000
392000
A medial-axes-based interpolation method for solidification simulation
WKS Pao, RS Ransing, RW Lewis, C Lin
Finite elements in analysis and design 40 (5-6), 577-593, 2004
382004
Alternative techniques for casting process simulation
RW Lewis, RS Ransing, WKS Pao, K Kulasegaram, J Bonet
International Journal of Numerical Methods for Heat & Fluid Flow 14 (2), 145-166, 2004
342004
ICADA: Intelligent computer aided defect analysis for castings
RS Ransing, MN Srinivasan, RW Lewis
Journal of Intelligent Manufacturing 6, 29-40, 1995
341995
Casting shape optimisation via process modelling
RW Lewis, MT Manzari, RS Ransing, DT Gethin
Materials & Design 21 (4), 381-386, 2000
332000
A coupled penalty matrix approach and principal component based co-linearity index technique to discover product specific foundry process knowledge from in-process data in …
RS Ransing, C Giannetti, MR Ransing, MW James
Computers in Industry 64 (5), 514-523, 2013
322013
Influence of initial stresses on the cast behaviour during squeeze forming processes
EW Postek, RW Lewis, DT Gethin, RS Ransing
Journal of Materials Processing Technology 159 (3), 338-346, 2005
322005
Using a deformable discrete–element technique to model the compaction behaviour of mixed ductile and brittle particulate systems
RS Ransing, RW Lewis, DT Gethin
Philosophical Transactions of the Royal Society of London. Series A …, 2004
322004
A discontinuous future for numerical modeling in soil and rock
PA Cundall
Discrete Element Methods: Numerical Modeling of Discontinua, 3-4, 2002
32*2002
A novel variable selection approach based on co-linearity index to discover optimal process settings by analysing mixed data
C Giannetti, RS Ransing, MR Ransing, DC Bould, DT Gethin, J Sienz
Computers & Industrial Engineering 72, 217-229, 2014
292014
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