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K. Deepak Lawrence

Observed names: Deepak Lawrence, Deepak Lawrence K, Deepak Lawrence K., Deepak Lawrence.K, K Deepak Lawrence, K, Deepak Lawrence
ORCID: 0000-0002-5607-0302
Observed ORCID: 0000-0002-5607-0302
OpenAlex ID: A5079873380
Multi-surface topography targeted plateau honing for the processing of cylinder liner surfaces of automotive engines
2016 · K. Deepak Lawrence, B. Ramamoorthy · Applied Surface Science · 54
Tool texturing for micro-turning applications – an approach using mechanical micro indentation
2020 · Jiju V. Elias, Prasanna Venkatesh N., et al. · Materials and Manufacturing Processes · 44
Evaluation of image based Abbott–Firestone curve parameters using machine vision for the characterization of cylinder liner surface topography
2014 · K. Deepak Lawrence, Rajalingappaa Shanmugamani, et al. · Measurement · 39
A private Ethereum blockchain implementation for secure data handling in Internet of Medical Things
2021 · Dheeraj Mohan, Lakshmi Alwin, et al. · Journal of Reliable Intelligent Environments · 35
Comparative study of roundness evaluation algorithms for coordinate measurement and form data
2017 · Rhinithaa PT, Selvakumar P, et al. · Precision Engineering · 28
Surface topography characterization of automotive cylinder liner surfaces using fractal methods
2013 · Deepak Lawrence K, B. Ramamoorthy · Applied Surface Science · 27
Influence of honing angle on tribological behaviour of cylinder liner–piston ring pair: Experimental investigation
2021 · Ajith Kurian Baby, P.K. Rajendrakumar, et al. · Tribology International · 25
An accurate and robust method for the honing angle evaluation of cylinder liner surface using machine vision
2010 · Deepak Lawrence.K, Balakrishnan Ramamoorthy · The International Journal of Advanced Manufacturing Technology · 24
STEP AP 242 Managed Model-based 3D Engineering: An Application Towards the Automation of Fixture Planning
2021 · Remil George Thomas, K. Deepak Lawrence, et al. · Machine Intelligence Research · 17
Tribological behaviour of hypereutectic Al-Si automotive cylinder liner material under dry sliding wear condition in severe wear regime
2020 · Ajith Kurian Baby, M Priyaranjan, et al. · Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology · 17
Comparative Study on the tribological performance and wear behaviour of hypereutectic Al–Si cylinder liner surfaces textured using micro-drilling and mechanical indentation-based approaches
2024 · Ajith Kurian Baby, P.K. Rajendrakumar, et al. · Wear · 12
Uncertainty Analysis of Friction and Wear-Rate of Cylinder Liner–Piston Ring Tribo Pair Under Boundary Lubrication Conditions
2023 · Ajith Kurian Baby, Rajendrakumar P. K., et al. · Journal of Tribology · 10
Custom-designed 3D printed feed spacers and TFN membranes with MIL-101(Fe) for water recovery by forward osmosis
2023 · K. Suresh, Jenny Nambikkattu, et al. · Environmental Technology · 8
A blockchain-based platform for smart contracts and intellectual property protection for the additive manufacturing industry
2022 · Abhiram Haridas, Adil Abdul Samad, et al. · IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES) · 8
The multi-sensor-based measurement of machining signals and data fusion to develop predictive tool wear models for TiAlN-PVD coated carbide inserts during end milling of Inconel 617
2023 · Pramod Adishesha, Deepak Lawrence K, et al. · Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture · 7
STEP AP 242 file-based automatic tolerance analysis of mechanical assembly using unified Jacobian Torsor Model and direct linearization method
2022 · Bala Murugan S, R. Manu, et al. · International Journal of Computer Integrated Manufacturing · 6
Automated Tolerance Analysis of Mechanical Assembly Using STEP AP 242 Managed Model-Based 3D Engineering
2020 · O. V. S. Praveen, Bandaru Dileep, et al. · Lecture notes in mechanical engineering · 6
Implementation of Quality Information Framework (QIF): Towards Automatic Generation of Inspection Plan from Model-Based Definition (MBD) of Parts
2020 · Peethani Sai Ram, K. Deepak Lawrence · Lecture notes in mechanical engineering · 6
Indicoat Final ReportDetermination of hardness and modulus of thin films and coatings by nanoindentation.
2001 · N.M. Jennett, L.N. McCartney, et al. · OpenGrey (Institut de l'Information Scientifique et Technique) · 6
Towards the development of a smart manufacturing system for the automated remodeling and manufacturing of standard parts
2021 · Aman Kukreja, R. Manu, et al. · International Journal on Interactive Design and Manufacturing (IJIDeM) · 5
Development of machine learning based predictive analytical models for the surface interaction studies of tribological pairs
2021 · Ravi Teja Kristipadu, Deepak Lawrence · AIP conference proceedings · 5
Paper piano — Shadow analysis based touch interaction
2017 · Boga Vishal, K Deepak Lawrence · International Conference on Man and Machine Interfacing (MAMI) · 5
Productivity enhancement in the assembly line of a horn manufacturing company
2010 · H. Sabatini, V. Sharanya, et al. · International Journal of Management Practice · 5
A comparative study of center searching and circle fitting approaches for roundness evaluation
2025 · George Thomas, K. Deepak Lawrence · Measurement · 3
Simulation of surface topography of engineering surfaces with specified roughness for tribological investigations
2021 · Nitika Suresh, K. M. Shreehari, et al. · AIP conference proceedings · 3
Works count: 43
Citation count: 423
H-index: 11
I10-index: 12
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