FEM-based transient non-Newtonian mixed lubrication model for rough EHL point contacts
Deepak K. Prajapati, Jonny Hansen, Marcus Björling, and Roland Larsson
Tribology International Vol. 227 pp. 112808
Contribution: Coupled FEM formulation incorporating contact dynamics, Eyring shear-thinning, Patir-Cheng flow factors, and Greenwood-Tripp contact mechanics to predict dielectric breakdown in electrified bearings.
Robustness and sensitivity of the Λ*-ratio in microelastohydrodynamic lubrication
Jonny Hansen, Deepak K. Prajapati, Marcus Björling, and Roland Larsson
Tribology Letters Vol. 73 pp. 129
Contribution: Industrial collaboration with Scania CV AB establishing the sensitivity of the lambda-star ratio for transmission engineering.
Non-Gaussian surface topography in mixed lubrication
Deepak K. Prajapati, Marcus Björling, and Jitendra Kumar Katiyar
ASME Journal of Tribology Vol. 147(8) pp. 084503
Contribution: Demonstrating how skewness and kurtosis of non-Gaussian roughness govern real contact pressure distribution.
An assessment of surface topography effect on friction coefficient in heavily loaded non-conformal contacts
Deepak K. Prajapati, Jonny Hansen, and Marcus Björling
Frontiers in Mechanical Engineering Vol. 10 pp. 1360023
Contribution: Detailed assessment of areal surface topography parameters controlling friction in concentrated rolling-sliding conjunctions.
The influence of non-Gaussian roughness and spectral properties on mixed lubrication for heavily loaded counterformal contacts
Deepak K. Prajapati and Marcus Björling
Lubricants Vol. 12(3) pp. 71
Contribution: Spectral autocorrelation analysis of roughness wavelength impact on film breakdown and asperity contact ratio.
Prediction of contact response using boundary element method
Deepak K. Prajapati, Chander Prakash, and Kuldeep K. Saxena
International Journal of Interactive Design and Manufacturing (IJIDeM) Vol. 18(5) pp. 2725–2732
Molecular dynamics simulation of different tribopair under dry sliding condition
Sudhanshu Kumar, Ashutosh Rajput, Surajit Kumar Paul, Mayank Tiwari, and Deepak K. Prajapati
Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology Vol. 238 pp. 653–661
Machine learning approach for prediction of mixed lubrication parameters
Deepak K. Prajapati, Jitendra Kumar Katiyar, and Chander Prakash
Industrial Lubrication and Tribology Vol. 75 pp. 312–320
Contribution: Artificial neural network architectures predicting mixed lubrication regimes and friction coefficients.
Research on tribological performance of piston ring/liner conjunction considering non-Gaussian roughness and cavitation
Deepak K. Prajapati, P. Ramkumar, and Jitendra Kumar Katiyar
Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology Vol. 237(4) pp. 732–745
Contribution: Mass-conserving cavitation model assessing ring/liner lubrication under non-Gaussian rough contact.
Surface topography effect on tribological performance of water-lubricated journal bearing under mixed-EHL regime
Deepak K. Prajapati and P. Ramkumar
Surface Topography: Metrology & Properties Vol. 10(4) pp. 045022
Contribution: Pioneering sustainable water-based lubrication mechanics for eco-friendly journal bearings.
Prediction of coefficient of friction for different surface topography in mixed-elastohydrodynamic lubrication
Deepak K. Prajapati
Surface Topography: Metrology & Properties Vol. 9(1) pp. 015008
Numerical analysis of rough hydrodynamic bearings for various deterministic micro-asperity features
Deepak K. Prajapati
Surface Topography: Metrology & Properties Vol. 9(1) pp. 015004
Analysis of micro-friction stir welding surfaces using fractal methodologies
Deepak K. Prajapati and Shuja Ahmed
Surface Topography: Metrology & Properties Vol. 8(3) pp. 035011
The correlation between friction coefficient and areal topography for AISI 304 steel sliding against AISI 52100 steel
Deepak K. Prajapati and Mayank Tiwari
Friction (Springer) Vol. 9(1) pp. 41–60
Contribution: High-impact empirical and theoretical formulation linking 3D areal topography with macroscopic friction.
Experimental analysis of contact fatigue damage using fractal methodologies
Deepak K. Prajapati and Mayank Tiwari
Wear (Elsevier) Vol. 450–451 pp. 203262
Contribution: Fractal dimension and structure-function characterization of rolling contact fatigue and micropitting.
Experimental investigation on evolution of surface damage and topography parameters during rolling contact fatigue tests
Deepak K. Prajapati and Mayank Tiwari
Fatigue & Fracture of Engineering Materials & Structures Vol. 43(2) pp. 355–370
Assessment of topography parameters during running-in and subsequent rolling contact fatigue tests
Deepak K. Prajapati and Mayank Tiwari
ASME Journal of Tribology Vol. 141(5) pp. 051401
Effect of correlation length, surface roughness, and load on friction coefficient under mixed lubrication regime
Deepak K. Prajapati and Mayank Tiwari
Lubrication Science Vol. 31(5) pp. 218–228
Investigation on metallic contact conditions using ECR technique by performing rolling/sliding experiments
Deepak K. Prajapati and Mayank Tiwari
Surface Topography: Metrology & Properties Vol. 7(1) pp. 015015
Tribological investigation of copper and AISI 304 steel during dry sliding wear
Deepak K. Prajapati, Krishnamurti Singh, and Mayank Tiwari
Surface Topography: Metrology & Properties Vol. 7(1) pp. 015021
3D numerical wear model for determining the change in surface topography
Deepak K. Prajapati and Mayank Tiwari
Surface Topography: Metrology & Properties Vol. 6(4) pp. 045006
The relation between fractal signature and topography parameters: a numerical and experimental study
Deepak K. Prajapati and Mayank Tiwari
Surface Topography: Metrology & Properties Vol. 6(4) pp. 045008
Topography analysis of random anisotropic Gaussian rough surfaces
Deepak K. Prajapati and Mayank Tiwari
ASME Journal of Tribology Vol. 139(4) pp. 041402
Use of artificial neural network (ANN) to determining surface parameters, friction and wear during pin-on-disc tribotesting
Deepak K. Prajapati and Mayank Tiwari
Key Engineering Materials Vol. 739 pp. 87–95
