World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
41
Citations
4469
World Ranking
628
National Ranking
29

Engineering and Technology

D-Index
42
Citations
5056
World Ranking
6754
National Ranking
124

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

T. Muthuramalingam is affiliated with SRM Institute of Science and Technology in India and has made substantial contributions to the field of engineering, particularly within mechanical and electrical disciplines. Their research encompasses various subfields, including Mechanical Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Computational Mechanics, and Industrial and Manufacturing Engineering.

Their scholarly output involves a broad range of topics, notably:

  • Advanced Machining and Optimization Techniques
  • Advanced machining processes and optimization
  • Advanced Surface Polishing Techniques
  • Laser Material Processing Techniques
  • Advanced Sensor and Energy Harvesting Materials
  • Aluminum Alloys Composites Properties
  • Nanomaterials and Printing Technologies

Muthuramalingam's frequent collaborators include Nguyen Huu Phan, Ammar H. Elsheikh, Khaja Moiduddin, S. Vasanth, and Shailesh Shirguppikar. These coauthorships highlight sustained research partnerships across multiple projects.

The scientist's work is disseminated in various academic venues where they are a recurrent contributor. Key publication venues include:

  • Materials
  • The International Journal of Advanced Manufacturing Technology
  • Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
  • Journal of Materials Research and Technology
  • Optics & Laser Technology

Notable recent papers by T. Muthuramalingam present research on several topics. Examples include:

  • "A review on control strategies for compensation of hysteresis and creep on piezoelectric actuators based micro systems," 2020, published in Mechanical Systems and Signal Processing
  • "Recent progresses in wood-plastic composites: Pre-processing treatments, manufacturing techniques, recyclability and eco-friendly assessment," 2022, published in Cleaner Engineering and Technology
  • "A new optimized predictive model based on political optimizer for eco-friendly MQL-turning of AISI 4340 alloy with nano-lubricants," 2021, published in Journal of Manufacturing Processes
  • "Deep learning-based forecasting model for COVID-19 outbreak in Saudi Arabia," 2020, published in Process Safety and Environmental Protection
  • "Low-cost bilayered structure for improving the performance of solar stills: Performance/cost analysis and water yield prediction using machine learning," 2021, published in Sustainable Energy Technologies and Assessments

Best Publications

  • A review on influence of electrical process parameters in EDM process

    T. Muthuramalingam;B. Mohan

  • Recent progresses in wood-plastic composites: Pre-processing treatments, manufacturing techniques, recyclability and eco-friendly assessment

    Unknown

  • A review on control strategies for compensation of hysteresis and creep on piezoelectric actuators based micro systems

    D.V. Sabarianand;P. Karthikeyan;T. Muthuramalingam

  • Effect of B4C and MOS2 reinforcement on micro structure and wear properties of aluminum hybrid composite for automotive applications

    Shoufa Liu;Yinwei Wang;T. Muthuramalingam;G. Anbuchezhiyan

  • Effects of Silicon Carbide and Tungsten Carbide in Aluminium Metal Matrix Composites

    Cao Fenghong;Chen Chang;Wang Zhenyu;T. Muthuramalingam

  • A new optimized predictive model based on political optimizer for eco-friendly MQL-turning of AISI 4340 alloy with nano-lubricants

    Ammar H. Elsheikh;Mohamed Abd Elaziz;Sudhansu Ranjan Das;T. Muthuramalingam

  • Synthesis and characterization of hollow glass microspheres reinforced magnesium alloy matrix syntactic foam

    G. Anbuchezhiyan;B. Mohan;D. Sathianarayanan;T. Muthuramalingam

  • Low-cost bilayered structure for improving the performance of solar stills: Performance/cost analysis and water yield prediction using machine learning

    Ammar H. Elsheikh;S. Shanmugan;Ravishankar Sathyamurthy;Amrit Kumar Thakur

  • A review on recent research trends in servo pneumatic positioning systems

    D. Saravanakumar;B. Mohan;T. Muthuramalingam

  • Deep learning-based forecasting model for COVID-19 outbreak in Saudi Arabia

    Ammar H. Elsheikh;Amal I. Saba;Mohamed Abd Elaziz;Songfeng Lu

  • Investigation and TGRA based optimization of laser beam drilling process during machining of Nickel Inconel 718 alloy

    Unknown

  • Surface quality measures analysis and optimization on machining titanium alloy using CO2 based laser beam drilling process

    T. Muthuramalingam;Ravi Akash;Shravan Krishnan;Nguyen Huu Phan

  • Application of Taguchi-grey multi responses optimization on process parameters in electro erosion

    T. Muthuramalingam;B. Mohan

  • Acoustic and mechanical characterisation of polypropylene composites reinforced by natural fibres for automotive applications

    K. Hariprasad;K. Ravichandran;V. Jayaseelan;T. Muthuramalingam

  • Influence of Discharge Current Pulse on Machinability in Electrical Discharge Machining

    T. Muthuramalingam;B. Mohan

  • Fine-tuned artificial intelligence model using pigeon optimizer for prediction of residual stresses during turning of Inconel 718

    Ammar H. Elsheikh;T. Muthuramalingam;S. Shanmugan;Ahmed Mohamed Mahmoud Ibrahim

  • Effect of diluted dielectric medium on spark energy in green EDM process using TGRA approach

    T. Muthuramalingam

  • Effect of process parameters on mechanical properties of hollow glass microsphere reinforced magnesium alloy syntactic foams under vacuum die casting

    G. Anbuchezhiyan;T. Muthuramalingam;B. Mohan

  • A comprehensive review on residual stresses in turning

    Ammar H. Elsheikh;S. Shanmugan;T. Muthuramalingam;Amrit Kumar Thakur

  • Multi Response Optimization of AWJM Process Parameters on Machining TiB2 Particles Reinforced Al7075 Composite Using Taguchi-DEAR Methodology

    M. Manoj;G. R. Jinu;T. Muthuramalingam

  • Multi Criteria Decision Making of Vibration Assisted EDM Process Parameters on Machining Silicon Steel Using Taguchi-DEAR Methodology

    Nguyen Huu Phan;T. Muthuramalingam

  • Influence of process parameters on dimensional accuracy of machined Titanium (Ti-6Al-4V) alloy in Laser Beam Machining Process

    T. Muthuramalingam;Khaja Moiduddin;Ravi Akash;Shravan Krishnan

  • Multi Criteria Decision Making of Abrasive Flow Oriented Process Parameters in Abrasive Water Jet Machining Using Taguchi–DEAR Methodology

    T. Muthuramalingam;S. Vasanth;P. Vinothkumar;T. Geethapriyan

  • Taguchi-grey relational based multi response optimization of electrical process parameters in electrical discharge machining

    T Muthuramalingam;B Mohan

  • Optimisation of multiple response characteristics on end milling of aluminium alloy using Taguchi-Grey relational approach

    Jayakrishnan Unnikrishna Pillai;Ikshit Sanghrajka;Manikandakumar Shunmugavel;T. Muthuramalingam

Frequent Co-Authors

Fadl A. Essa
Fadl A. Essa Kafrelsheikh University
Mohamed Abd Elaziz
Mohamed Abd Elaziz Ajman University of Science and Technology
Ravishankar Sathyamurthy
Ravishankar Sathyamurthy King Fahd University of Petroleum and Minerals
Hitesh Panchal
Hitesh Panchal Gujarat Technological University
Songfeng Lu
Songfeng Lu Huazhong University of Science and Technology
Md. Mahbub Alam
Md. Mahbub Alam Harbin Institute of Technology
Mohsen Sharifpur
Mohsen Sharifpur University of the Witwatersrand

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