Journal Articles

  1. & Risk based uncertainty quantification to improve robustness of manufacturing operations. Computers & Industrial Engineering 101, 70-80.
  2. & A quality correlation algorithm for tolerance synthesis in manufacturing operations. Computers & Industrial Engineering 93, 1-11.
  3. & A novel mathematical formulation for predicting symmetric passive bipedal walking motion with unbalanced masses. Applied Mathematical Modelling 40(5-6), 3895-3906.
  4. & Prosthetic foot design optimisation based on roll-over shape and ground reaction force characteristics. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
  5. & A bootstrap method for uncertainty estimation in quality correlation algorithm for risk based tolerance synthesis. Computers & Industrial Engineering
  6. & The calculation of drag on nano-cylinders. International Journal for Numerical Methods in Engineering
  7. & Comparison of point foot, collisional and smooth rolling contact models on the bifurcations and stability of bipedal walking. European Journal of Computational Mechanics 25(3), 273-293.
  8. & Seven Steps to Energy Efficiency for Foundries. Foundry Management and Technology 143(3), 24-29.
  9. & Organisational Knowledge Management for Defect Reduction and Sustainable Development in Foundries. International Journal of Knowledge and Systems Science 6(3), 18-37.
  10. & A novel variable selection approach based on co-linearity index to discover optimal process settings by analysing mixed data. Computers & Industrial Engineering 72, 217-229.
  11. & 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 order to reduce defects. Computers in Industry 64(5), 514-523.
  12. & Modelling the effect of ‘heel to toe’ roll-over contact on the walking dynamics of passive biped robots. Applied Mathematical Modelling
  13. & Computational modelling of fluid structure interaction at nano-scale boundaries with modified Maxwellian velocity distribution. Applied Mathematical Modelling
  14. Enhancing undergraduate student skills to meet research challenges: Case Studies and Examples. The Journal of Engineering Education, XII special issue – Research in State Engineering Colleges in – A Road Map XXV(1-2)
  15. An innovative extrusion die layout design approach for single-hole dies. Journal of Materials Processing Technology
  16. R. S. Ransing, M. P. Sood Optimization in castings—An overview of relevant computational technologies and future challenges. Metallurgical and Materials Transactions B 37(6), 905-911.
  17. Ransing, R.S., Pao, W.K.S., Lin, C., Sood, M.P., Lewis, R.W. Enhanced medial axis interpolation algorithm and its application to hotspot prediction in a mould–casting assembly. International Journal of Cast Metals Research 18(1), 1-12.
  18. Postek, E.W., Lewis, R.W., Gethin, D.T., Ransing, R.S. Influence of initial stresses on the cast behaviour during squeeze forming processes. Journal of Materials Processing Technology 159(3), 338-346.
  19. & Computer implementation of Heuvers' circle method for thermal optimisation in castings. , 119-126.
  20. & Numerical optimisation of tilt casting process. , 109-118.
  21. W.K.S Pao, R.S Ransing, R.W Lewis, C Lin A medial-axes-based interpolation method for solidification simulation. Finite Elements in Analysis and Design 40(5-6), 577-593.
  22. R.W. Lewis, R.S. Ransing, W.K.S. Pao, K. Kulasegaram, J. Bonet Alternative techniques for casting process simulation. International Journal of Numerical Methods for Heat & Fluid Flow 14(2), 145-166.
  23. Ransing, R.S. Editorial. 14
  24. Ransing, R.S. International Journal of Numerical Methods of Heat and Fluid Flow: Editorial. 14
  25. & Using a deformable discrete-element technique to model the compaction behaviour of mixed ductile and brittle particulate systems. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES 362(1822), 1867-1884.
  26. Javier Bonet, Rajesh Ransing 10th anniversary conference of ACME-UK. Communications in Numerical Methods in Engineering 19(9), 657-657.
  27. Gethin, D.T., Lewis, R.W., Ransing, R.S. A discrete deformable element approach for the compaction of powder systems. Modelling and Simulation in Materials Science and Engineering 11(1), 101-114.
  28. Lewis, R.W., Ransing, M.R., Ransing, R.S. An approach for casting defect analysis employing finite element design optimisation, media axis transformation and neural networks. 15
  29. Cox, I.J., Lewis, R.W., Ransing, R.S., Laszczewski, H., Berni, G. Application of neural computing in basic oxygen steelmaking. Journal of Materials Processing Technology 120(1-3), 310-315.
  30. D.T Gethin, R.S Ransing, R.W Lewis, M Dutko, A.J.L Crook Numerical comparison of a deformable discrete element model and an equivalent continuum analysis for the compaction of ductile porous material. Computers & Structures 79(13), 1287-1294.
  31. R.W Lewis, M.T Manzari, R.S Ransing, D.T Gethin Casting shape optimisation via process modelling. Materials & Design 21(4), 381-386.
  32. R.S Ransing, D.T Gethin, A.R Khoei, P Mosbah, R.W Lewis Powder compaction modelling via the discrete and finite element method. Materials & Design 21(4), 263-269.
  33. R.W. Lewis, R.S. Ransing The optimal design of interfacial heat transfer coefficients via a thermal stress model. Finite Elements in Analysis and Design 34(2), 193-209.
  34. Lewis, R.W., Manzari, M.T., Ransing, R.S., Gethin, D.T. Casting shape optimization via process modelling. 21
  35. R.S. Ransing, R.W. Lewis, D.T. Gethin Lewis‐Ransing correlation to optimally design the metal‐mould heat transfer. International Journal of Numerical Methods for Heat & Fluid Flow 9(3), 318-334.
  36. Ransing, R.S., Lewis, R.W., Gethin, D.T. Lewis-Ransing correlation to optimally design the metal-mould heat transfer. 9
  37. Ransing, R.S., Gethin, D.T., Lewis, R.W., Rowe, R.C., Roberts, R.J. Modelling and simulation of the compaction of pharmaceutical powders. 51
  38. R. W. Lewis, R. S. Ransing A correlation to describe interfacial heat transfer during solidification simulation and its use in the optimal feeding design of castings. Metallurgical and Materials Transactions B 29(2), 437-448.
  39. Lewis, R.W., Ransing, R.S. Correlation to describe interfacial heat transfer during solidification simulation and its use in the optimal feeding design of castings. 29
  40. Ransing, R.S., Lewis, R.W. Recognising patterns in rejection data for diagnosis. 10
  41. R. S. Ransing, R.W. Lewis A semantically constrained neural network for manufacturing diagnosis. International Journal of Production Research 35(9), 2639-2660.
  42. & A semantically constrained Bayesian network for manufacturing diagnosis. International Journal of Production Research 35(8), 2171-2188.
  43. Ransing, R.S., Lewis, R.W. Optimal design of die coating thickness using the Lewis-Ransing correlation. 9
  44. R. S. Ransing, M. N. Srinivasan, R. W. Lewis ICADA: Intelligent computer aided defect analysis for castings. Journal of Intelligent Manufacturing 6(1), 29-40.


  1. Nawi, N.M., Ransing, R.S., Salleh, M.N.M., Ghazali, R., Hamid, N.A. Database Theory and Application, Bio-Science and Bio-Technology.
  2. & Fluid Properties at Nano/Meso Scale. Wiley.
  3. Ransing, R.S., Ransing, M.R., Lewis, R.W. On the limitations of neural network techniques for analysing cause and effect relationships in manufacturing processes - A case study.
  4. Ransing, R.S., Ransing, M.R., Lewis, R.W. The importance of an adaptive gain variation method in back-propagation neural network learning algorithms.

Conference Contributions

  1. & (2014). “If only my foundry knew what it knows …”: A 7Epsilon perspective on root cause analysis and corrective action plans for ISO9001:2008. Presented at World Foundry Congress 2014,
  2. & (2014). “If Only My Foundry Knew What it Knows ...”: A 7Epsilon Perspective on Root Cause Analysis and Corrective Action Plans for ISO9001:2008. Presented at Proceedings of the 61nd Annual Technical Conference on Investment Casting, Covington, KY, USA, October 5-8, 2014,
  3. Paine, A.N.O., Ransing, R.S., Gethin, D.T., Sims, G.J., Richley, J.M., Boissevain, L.J., Lewis, M.W. (2013). Challenges faced by a small ship yard in integrating computer aided design and production processes - A real life case study.
  4. Nazri Mohd Nawi, Rajesh S. Ransing, Meghana R. Ransing (2008). A New Method to Improve the Gradient Based Search Direction to Enhance the Computational Efficiency of Back Propagation Based Neural Network Algorithms. Presented at 2008 Second Asia International Conference on Modelling & Simulation (AMS),IEEE. doi:10.1109/ams.2008.70
  5. Nawi, N.M., Ransing, M.R., Ransing, R.S. (2007). Improving the gradient based search direction to enhance training efficiency of back propagation based neural network algorithms. doi:10.1007/978-1-84628-663-6-4
  6. Nazri Nawi, Meghana Ransing, Rajesh Ransing (2006). An Improved Learning Algorithm Based on The Broyden-Fletcher-Goldfarb-Shanno (BFGS) Method For Back Propagation Neural Networks. Presented at Sixth International Conference on Intelligent Systems Design and Applications,IEEE. doi:10.1109/isda.2006.95
  7. Ransing, R.S., Sood, M.P. (2005). Review of optimization methods for casting simulation.
  8. Ahmad, R., Gethin, D.T., Lewis, R.W., Ransing, R.S., Postek, E.W. (2005). Thermal optimisation of the squeeze-forming process using genetic algorithms.
  9. Lewis, R.W., Postek, E.W., Ransing, R.S., Han, Z., Gethin, D.T. (2004). A finite element model of the squeeze casting process.
  10. Malan, A.G., Lewis, R.W., Ransing, R.S. (2003). Modeling Coupled Heat and Mass Transfer in Drying Capillary Hygroscopic and Non-hygroscopic Porous Materials.
  11. Ransing, R.S., Pao, W.K.S., Lewis, R.W. (2003). Solidification and thermal stress simulation using medial objects.
  12. X. S. Yang, R. W. Lewis, D. T. Gethin, R. S. Ransing, R. C. Rowe (2002). Discrete-Finite Element Modelling of Pharmaceutical Powder Compaction: A Two-Stage Contact Detection Algorithm for Non-Spherical Particles. Presented at Discrete Element Methods,American Society of Civil Engineers. doi:10.1061/40647(259)14
  13. Lewis, R.W., Cross, J.T., Gethin, D.T., Ransing, R.S., Manzari, M.T., Rahman, N.A. (1998). Recent developments in heat transfer and porous media.

Other Research Outputs

  1. Nazri Mohd Nawi, Meghana R. Ransing, Rajesh S. Ransing (2007). Research and Development in Intelligent Systems XXIII. (Improving the Gradient Based Search Direction to Enhance Training Efficiency of Back Propagation Based Neural Network Algorithms No. Chapter 4). : Springer London.
  2. Ransing, R.S., Ransing, M.R. (2007). Innovations in machine learning and defect diagnostics.