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Rameshkumar Krishnasamy

Has grant

Professor and Chairperson

Amrita School of Engineering

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Research Interests

Recent Grants

Grant: Close

Investigations into the surface integrity of titanium alloys during High Speed Machining

Open Date: 2013-01-01

Close Date: 2016-01-01

Grant: Close

Fault diagnosis of dynamic mechanical systems (gear box) based on signal processing using machine learning techniques

Open Date: 2010-01-01

Close Date: 2014-01-01

Grant: Close

Process Monitoring and Control for Ultra Precision Machining of Titanium Alloys

Open Date: 2008-01-01

Close Date: 2011-01-01

Grant: Close

Modernizing Metallurgy lab

Open Date: 2007-01-01

Close Date: 2010-01-01

Articles (20)

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Collaborators (4)

Olivia McDermott

Professor

University of Galway

IRELAND

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Thenarasu M

Assistant Professor

Amrita School of Engineering

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Dinu Thomas Thekkuden

Assistant Professor

Abu Dhabi University

UNITED ARAB EMIRATES

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Balakrishnan Shankar

Dean, school of engg

Amrita School of Engineering

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Rameshkumar Krishnasamy

Research Interests

Recent Grants

Articles (20)

Process modelling and analysis of a new product assembly flow shop using a lean and simulation heuristic approach: a case study

Image-based machine learning for monitoring wear stages and surface roughness in grinding wheels

Adaptive Online-Learning Digital Twin for Edge-Based Prediction of Process Stability in Thin-Wall Machining

Performance modelling and development of priority dispatching rules for job prioritization using TOPSIS in a multilevel large-scale assembly job shop

Effect of Nano TiO2 Flux on Depth of Penetration and Mechanical Properties of TIG-Welded SA516 Grade 70 Steel Joints—An Experimental Investigation

Dynamic layout optimisation through simulation: enhancing machine utilisation for fluctuating demand

Evaluation of Time-Domain Acoustic Signature in TIG Welding of 5083 Aluminum Alloy: A Methodological Comparison of Feature Reduction Approaches

Mapping of Strategic Operating Conditions for End Milling Super-Transus Heat-Treated Ti1023 Alloy Using Multi-Objective Optimization

Prediction of Total Acid Number of Engine Oil Using Machine Learning Approach

Reliability of chatter stability in a turning tool-workpiece system

Roughness prediction in end milling of Ti1023 alloy using machine learning-based Gaussian Process Regression

Enhancing the productivity of mould shop using continuous improvement tools and simulation

Multi-criteria scheduling of realistic flexible job shop: a novel approach for integrating simulation modelling and multi-criteria decision making

Chatter Identification in Milling of Titanium Alloy Using Machine Learning Approaches with Non-Linear Features of Cutting Force and Vibration Signatures

Machine Learning Approach for Predicting the Solid Particle Lubricant Contamination in a Spherical Roller Bearing

Simulation analysis and development of priority dispatching rules for a partial flexible job shop

The influence of material stiffness and damping on machining stability in boring tool–workpiece systems using finite element simulation to implement digital twin

Design optimization of needle and spherical roller bearings using traditional and pareto optimal approaches

Effect of fluxes on weld penetration during TIG welding – A review

Piston Slap Condition Monitoring and Fault Diagnosis Using Machine Learning Approach

Collaborators (4)

Olivia McDermott

Thenarasu M

Dinu Thomas Thekkuden

Balakrishnan Shankar

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