R.S. Ransing - Concepedia

Author

R.S. Ransing

Also Known As

Dr Rajesh S. Ransing BE, ME, PhD, R S Ransing, R. S. Ransing, R.S Ransing, R.S. Ransing, Rajesh Ransing, Rajesh S Ransing, Rajesh S. Ransing, Ransing, R. S.

Publications

1.1K

Citations

H-Index

115

Concepts

All Affiliations

Swansea University University of Wales

About

R.S. Ransing is an author at Swansea University specializing in engineering, mechanical engineering, and systems engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	24	802
2	Natural Sciences	5	5	102
3	Business	4	4	104
4	Health Sciences	2	2	32
5	Public Health	1	1	37

R.S. Ransing

Publications

927

Citations

H-Index

Page 1

	Year	Citations
Powder compaction modelling via the discrete and finite element method R.S. Ransing, D.T. Gethin, A.R. Khoei, Materials & Design (1980-2015) Materials ScienceFinite Element MethodEngineeringExplosive CompactionMechanical Engineering	2000	101
Application of neural computing in basic oxygen steelmaking I. Cox, R. W. Lewis, R.S. Ransing, Journal of Materials Processing Technology EngineeringComputational NeuroscienceMechanical EngineeringBasic Oxygen SteelmakingBrain-like Computing	2002	78
A discrete deformable element approach for the compaction of powder systems D.T. Gethin, Roland W. Lewis, R.S. Ransing Modelling and Simulation in Materials Science and Engineering EngineeringDiscrete Deformable ElementMechanical EngineeringMaterial SimulationPowder Systems	2002	71
Numerical comparison of a deformable discrete element model and an equivalent continuum analysis for the compaction of ductile porous material D.T. Gethin, R.S. Ransing, R. W. Lewis, Computers & Structures Materials ScienceFinite Element MethodDuctile Porous MaterialPore StructureEngineering	2001	65
An Improved Learning Algorithm Based on The Broyden-Fletcher-Goldfarb-Shanno (BFGS) Method For Back Propagation Neural Networks Nazri Mohd Nawi, Meghana R. Ransing, R.S. Ransing Neural Network ToolboxMachine LearningEngineeringRecurrent Neural NetworkPattern Recognition	2006	64
An Improved Conjugate Gradient Based Learning Algorithm For Back Propagation Neural Networks Nazri Mohd Nawi, R.S. Ransing, Meghana R. Ransing	2008	53
Risk based uncertainty quantification to improve robustness of manufacturing operations Cinzia Giannetti, R.S. Ransing Computers & Industrial Engineering EngineeringIndustrial EngineeringRisk AnalysisUncertainty FormalismUncertainty Modeling	2016	48
A correlation to describe interfacial heat transfer during solidification simulation and its use in the optimal feeding design of castings R. W. Lewis, R.S. Ransing Metallurgical and Materials Transactions B Materials ScienceHeat Transfer ProcessEngineeringCastingMechanical Engineering	1998	42
A semantically constrained Bayesian network for manufacturing diagnosis R. W. Lewis, R.S. Ransing International Journal of Production Research EngineeringIndustrial EngineeringVerificationDiagnosisConditional Probability	1997	37
Alternative techniques for casting process simulation R. W. Lewis, R.S. Ransing, William Pao, International Journal of Numerical Methods for Heat &amp Fluid Flow EngineeringCastingMechanical EngineeringSimulationGeometry Generation	2004	30

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