Search Results - "Mohanraj, T."

Real-time tool condition monitoring with the internet of things and machine learning algorithms.

Authors: Mohanraj, T. Sai Bharath, R.

Source: International Journal of Computer Integrated Manufacturing; Sep2025, Vol. 38 Issue 9, p1207-1225, 19p

Effect of Milling and Wire Electric Discharge Machining on Recast Layer Formation and Tensile Behavior of Metallic Materials.

Authors: Basak, Animesh Kumar Pramanik, Alokesh Juri, Afifah Zakiyyah et al.

Source: MetalMat; Jun2026, Vol. 3 Issue 2, p1-15, 15p

Optimizing Genomic Cancer Classification: A Concurrency‐Aware Approach to Computational Efficiency and Data Balance.

Authors: Lawrence, Jinsha Mohanraj, T.

Source: Concurrency & Computation: Practice & Experience; 11/30/2025, Vol. 37 Issue 25/26, p1-16, 16p

A Systematic Review on the Mechanical, Tribological, and Corrosion Properties of Al 7075 Metal Matrix Composites Fabricated through Stir Casting Process.

Authors: Sambathkumar, M. Gukendran, R. Mohanraj, T. et al.

Source: Advances in Materials Science & Engineering; 1/21/2023, Vol. 2023, p1-17, 17p

Development of Eco-Sustainable Silica-Reinforced Natural Hybrid Polymer Composites for Automotive Applications.

Authors: Senthil Kumar, M. Sakthivel, G. Jagadeeshwaran, R. et al.

Source: Advances in Materials Science & Engineering; 12/21/2022, p1-9, 9p

Decision support system for tool condition monitoring in milling process using artificial neural network.

Authors: Mohanraj, T. Tamilvanan, A.

Source: Journal of Engineering Research (2307-1877). Dec2022, Vol. 10 Issue 4B, p142-155. 14p.

Parameter Optimization and Machining Performance of Inconel 625 with Nanoparticles Dispersed in Biolubricant.

Authors: Mohanraj, T. Radhika, N. Aswin Nanda, S. et al.

Source: Advances in Materials Science & Engineering; 8/24/2022, p1-14, 14p

Parameter optimization in wire electrical discharge machining using bio-inspired algorithms and response surface methodology.

Authors: Mohanraj, T. Thenarasu, M. Ragaventhra, B. Shree et al.

Source: International Journal on Interactive Design & Manufacturing; Feb2025, Vol. 19 Issue 2, p705-732, 28p

Optimization of biodiesel production from Azolla pinnata: investigation of CI engine characteristics using nano dosed biodiesel.

Authors: Prabakaran, S. Mohanraj, T.

Source: Journal of Mechanical Science & Technology. Oct2021, Vol. 35 Issue 10, p4765-4773. 9p.

Subjects: Diesel motors, Response surfaces (Statistics), Methyl formate, Manufacturing processes, Process optimization

Tool condition monitoring in the milling process using a data-driven Digital Twin framework.

Authors: Mohanraj, T. Suresh, G. Praveen Kumar, T. et al.

Source: Measurement (02632241). May2026, Vol. 275, pN.PAG-N.PAG. 1p.

Subjects: Digital twin, Machine learning, Vibration measurements, Milling machinery, Sound pressure, Industry 4.0

Prediction of cutting tool wear during milling process using artificial intelligence techniques.

Authors: Shankar, S. Mohanraj, T. Rajasekar, R.

Source: International Journal of Computer Integrated Manufacturing; Feb2019, Vol. 32 Issue 2, p174-182, 9p, 1 Color Photograph, 3 Charts, 4 Graphs

Prediction of remaining useful life of milling tool using a low-cost data acquisition system.

Authors: Mohanraj, T. Kirubakaran, E.S. Naren, M.L. et al.

Source: Measurement (02632241). Dec2025:Part A, Vol. 256, pN.PAG-N.PAG. 1p.

Subjects: Remaining useful life, Machine learning, Condition-based maintenance, Milling (Metalwork), Mechanical vibration research, Data acquisition systems, Milling machinery

Multi-swarm optimization model for multi-cloud scheduling for enhanced quality of services.

Authors: Mohanraj, T. Santhosh, R.

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Dec2022, Vol. 26 Issue 23, p12985-12995. 11p.

Subjects: Particle swarm optimization, Quality of service, Scheduling, Customer satisfaction, Cost functions, Cloud computing

EXPERIMENTAL INVESTIGATION AND PROCESS PARAMETER OPTIMISATION IN MILLING OF 7075 - T6 HYBRID ALUMINIUM METAL MATRIX COMPOSITE USING RESPONSE SURFACE METHODOLOGY.

Authors: SHANKAR, S. MOHANRAJ, T.

Source: Journal of the Balkan Tribological Association. 2017, Vol. 23 Issue 1, p124-138. 15p.

MULTI-RESPONSE OPTIMIZATION ON ABRASIVE WATERJET MACHINING OF GLASS FIBER REINFORCED PLASTICS USING TAGUCHI METHOD COUPLED WITH TOPSIS.

Authors: SHANMUGAM, A. MOHANRAJ, T. KRISHNAMURTHY, K. et al.

Source: Surface Review & Letters. Dec2021, Vol. 28 Issue 12, p1-11. 11p.

Subjects: Abrasive machining, Glass fibers, Plastic fibers, Taguchi methods, TOPSIS method, Surface roughness

Prediction of cutting force in turning process: An experimental and fuzzy approach.

Authors: Shankar, S. Thangarasu, S.K. Mohanraj, T. et al.

Source: Journal of Intelligent & Fuzzy Systems; 2015, Vol. 28 Issue 4, p1785-1793, 9p

Investigation on the Mechanical and Wear Behaviour of Al-6082-BN-B4C-Corn Cob Ash Hybrid Composites.

Authors: Sam, Manu Radhika, N. Sidvilash, Valluri et al.

Source: Tribology in Industry; 2022, Vol. 44 Issue 2, p294-309, 16p

EXPERIMENTAL INVESTIGATION OF COCONUT OIL WITH NANOBORIC ACID DURING MILLING OF INCONEL 625 USING TAGUCHI-GREY RELATIONAL ANALYSIS.

Authors: MOHANRAJ, T. RAGAV, P. GOKUL, E. S. et al.

Source: Surface Review & Letters. Mar2021, Vol. 28 Issue 3, pN.PAG-N.PAG. 11p.

Subjects: Coconut oil, Grey relational analysis, Inconel, Metalworking lubricants, Base oils, Cutting fluids

Operating Characteristics of a Variable Compression Ratio Engine Using Esterified Tamanu Oil.

Authors: Mohanraj, T. Mohan Kumar, K.Murugu

Source: International Journal of Green Energy. 2013, Vol. 10 Issue 3, p285-301. 17p.

Tool Condition Monitoring While Using Vegetable Based Cutting Fluids During Milling of Inconel 625.

Authors: Shankar, S. Mohanraj, T. Pramanik, A.

Source: Journal of Advanced Manufacturing Systems. Dec2019, Vol. 18 Issue 4, p563-581. 19p.

Subjects: Cutting fluids, Milling (Metalwork), Inconel, Sound pressure, Surface roughness, Cutting tools