Year : 2023
A Systematic Review on the Mechanical, Tribological, and Corrosion Properties of Al 7075 Metal Matrix Composites Fabricated through Stir Casting Process
Cite this Research Publication : Sambathkumar, M., Gukendran, R., Mohanraj, T., Karupannasamy, D.K., Natarajan, N. and Christopher, D.S., 2023. A Systematic Review on the Mechanical, Tribological, and Corrosion Properties of Al 7075 Metal Matrix Composites Fabricated through Stir Casting Process. Advances in Materials Science and Engineering, 2023.
Year : 2022
Assessment of erosion rate on AA7075 based surface hybrid composites fabricated through friction stir processing by taguchi optimization approach
Cite this Research Publication : Kandasamy, S., Rathinasamy, P., Nagarajan, N., Karumalai, D., Mohanraj, T.. and Palaniappan, M., 2022. Assessment of erosion rate on AA7075 based surface hybrid composites fabricated through friction stir processing by taguchi optimization approach. Journal of Adhesion Science and Technology, 36(6), pp.584-605.
Year : 2022
Optimization of FSP parameters to fabricate AA7075-based surface composites using Taguchi technique and TOPSIS approach
Cite this Research Publication : Suganeswaran, K., Muthukumar, P., Parameshwaran, R., Nithyavathy, N., Mohanraj, T. and Deepandurai, K., 2022. Optimization of FSP parameters to fabricate AA7075-based surface composites using Taguchi technique and TOPSIS approach. Journal of Adhesion Science and Technology, pp.1-25.
Year : 2022
Review on sensor design for cutting force measurement
Cite this Research Publication : Mohanraj, T., Uddin, M. and Thangarasu, S.K., 2022. Review on sensor design for cutting force measurement. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, p.09544089221106264.
Year : 2022
Investigation on the mechanical and wear behaviour of Al-6082-BN-B4C-corn cob ash hybrid composites
Cite this Research Publication : Manu, S., Radhika, N., Sidvilash, V. and Mohanraj, T., 2022. Investigation on the mechanical and wear behaviour of Al-6082-BN-B4C-corn cob ash hybrid composites. Tribology in Industry, 44(2), p.294.
Year : 2022
Application of AI techniques for modeling the performance measures in milling of 7075-T6 hybrid aluminum metal matrix composites
Cite this Research Publication : Mohanraj, T., 2022. Application of AI techniques for modeling the performance measures in milling of 7075-T6 hybrid aluminum metal matrix composites. International Journal of Modeling, Simulation, and Scientific Computing, 13(04), p.2250034.
Year : 2022
Condition Monitoring of an All-Terrain Vehicle Gear Train Assembly Using Deep Learning Algorithms with Vibration Signals
Cite this Research Publication : Gnanasekaran, S., Jakkamputi, L., Mohanraj, T., Marikkannan, S.K., Rakkiyannan, J., Thangavelu, K. and Kotha, G., 2022. Condition Monitoring of an All-Terrain Vehicle Gear Train Assembly Using Deep Learning Algorithms with Vibration Signals. Applied Sciences, 12(21), p.10917.
Year : 2022
Decision support system for tool condition monitoring in milling process using artificial neural network
Cite this Research Publication : Mohanraj, T.,. and Tamilvanan, A., Decision support system for tool condition monitoring in milling process using artificial neural network. Journal of Engineering Research, 10(4B), 2022.
Year : 2021
Prediction and Optimization of CI Engine Performance Fueled with Biodiesel–Diesel Blend Using Response Surface Methodology
Cite this Research Publication : Sakthivel, R., Mohanraj, T., Ganesh Kumar, P. and Sukhapradha, V., 2022. Prediction and Optimization of CI Engine Performance Fueled with Biodiesel–Diesel Blend Using Response Surface Methodology. In Energy and Exergy for Sustainable and Clean Environment, Volume 1 (pp. 175-189). Singapore: Springer Nature Singapore.
Year : 2021
Experimental study of surface roughness and taper angle in abrasive water jet machining of 7075 aluminum composite using response surface methodology
Cite this Research Publication : Shanmugam, A., Krishnamurthy, K. and Mohanraj, T., 2020. Experimental study of surface roughness and taper angle in abrasive water jet machining of 7075 aluminum composite using response surface methodology. Surface Review and Letters, 27(03), p.1950112.
Year : 2021
Influence of secondary phase particles Al2O3/SiC on the microstructure and tribological characteristics of AA7075-based surface hybrid composites tailored using friction stir processing
Cite this Research Publication : Suganeswaran, K., Parameshwaran, R., Mohanraj, T. and Radhika, N., 2021. Influence of secondary phase particles Al2O3/SiC on the microstructure and tribological characteristics of AA7075-based surface hybrid composites tailored using friction stir processing. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 235(1), pp.161-178.
Year : 2021
Recent developments in biosensors for healthcare and biomedical applications: A review
Cite this Research Publication : Mohankumar, P., Ajayan, J., Mohanraj, T. and Yasodharan, R., 2021. Recent developments in biosensors for healthcare and biomedical applications: A review. Measurement, 167, p.108293.
Year : 2021
Optimization of performance and emission characteristics of compression ignition engine powered with Azolla pinnata fuel blends–A response surface methodology approach
Cite this Research Publication : Rajamohan, S., Mohanraj, T.., Pandurangan, G.K., Vivekanandan, S. and Ramadasan, A., 2021. Optimization of performance and emission characteristics of compression ignition engine powered with Azolla pinnata fuel blends–A response surface methodology approach. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, pp.1-10.
Year : 2021
Multi-Response Optimization Of End-Milling Parameters For Inconel 625 Using Taguchi Coupled With Topsis
Cite this Research Publication : Mohanraj, T.., Yerchuru, J., Shanmugam, N.A.R., Ravi, Y. and Gur, A.K., 2021. Multi-response optimization of end-milling parameters for inconel 625 using taguchi coupled with topsis. Surface Review and Letters, 28(10), p.2150096.
Year : 2021
Experimental investigation of coconut oil with nanoboric acid during milling of Inconel 625 using Taguchi-Grey relational analysis
Cite this Research Publication : Mohanraj, T., Ragav, P., Gokul, E.S., Senthil, P. and Anandh, K.R., 2021. Experimental investigation of coconut oil with nanoboric acid during milling of Inconel 625 using Taguchi-Grey relational analysis. Surface Review and Letters, 28(03), p.2150008.
Year : 2021
Experimental Investigation of the Magnetic Abrasive Finishing of SS310s
Cite this Research Publication : Suganeswaran, K., Parameshwaran, R., Mohanraj, T., Meenakshipriya, B. and Nithyavathy, N., 2021. Experimental Investigation of the Magnetic Abrasive Finishing of SS310s. Materials Testing, 63(9), pp.878-884.
Year : 2021
Multi-response optimization on abrasive waterjet machining of glass fiber reinforced plastics using taguchi method coupled with topsis
Cite this Research Publication : Shanmugam, A., Mohanraj, T., Krishnamurthy, K. and Gur, A.K., 2021. Multi-response optimization on abrasive waterjet machining of glass fiber reinforced plastics using taguchi method coupled with topsis. Surface Review and Letters, 28(12), p.2150120.
Year : 2021
Dry Machining Performance Studies on TiAlSiN Coated Inserts in Turning of AISI 420 Martensitic Stainless Steel and Multi-Criteria Decision Making Using Taguchi – DEAR Approach
Cite this Research Publication : Moganapriya, C., Rajasekar, R., Mohanraj, T., Gobinath, V.K., Kumar, P.S. and Poongodi, C., 2021. Dry machining performance studies on TiAlSiN coated inserts in turning of AISI 420 martensitic stainless steel and multi-criteria decision making using Taguchi-DEAR approach. Silicon, pp.1-14.
Year : 2021
Development of Online Tool Wear-Out Detection System Using Silver-Polyester Thick Film Sensor for Low-Duty Cycle Machining Operations
Cite this Research Publication : Rakkiyannan, J., Jakkamputi, L., Mohanraj, T., Patange, A.D. and Gnanasekaran, S., 2022. Development of Online Tool Wear-Out Detection System Using Silver–Polyester Thick Film Sensor for Low-Duty Cycle Machining Operations. Sensors, 22(21), p.8200.
Year : 2021
Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms
Cite this Research Publication : T. Mohanraj, Yerchuru, J., Krishnan, H., Aravind, R. S. Nithin, and Yameni, R., “Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms”, Measurement, vol. 173, p. 108671, 2021.
Publisher : Measurement, Elsevier,
Year : 2020
3D Printing of automobile spoilers using MCDM techniques
Cite this Research Publication : S. Raghavendr Prabhu, Ilangkumaran, M., and T. Mohanraj, “3D Printing of automobile spoilers using MCDM techniques”, Materials Testing, vol. 62, pp. 1121–1125, 2020.
Publisher : Materials Testing, De Gruyter,
Year : 2020
Parameter optimization of copper nanoparticle synthesis by electrodeposition process using RSM and CS
Cite this Research Publication : A. Tamilvanan, Balamurugan, K., T. Mohanraj, Selvakumar, P., and Madhankumar, B., “Parameter optimization of copper nanoparticle synthesis by electrodeposition process using RSM and CS”, Materials Today: Proceedings, 2020.
Publisher : Materials Today: Proceedings,
Year : 2020
Achieving machining effectiveness for AISI 1015 structural steel through coated inserts and grey-fuzzy coupled Taguchi optimization approach
Cite this Research Publication : C. Moganapriya, Rajasekar, R., P Kumar, S., T. Mohanraj, Gobinath, V. K., and Saravanakumar, J., “Achieving machining effectiveness for AISI 1015 structural steel through coated inserts and grey-fuzzy coupled Taguchi optimization approach”, Structural and Multidisciplinary Optimization, vol. 63, p. 63, 2020.
Publisher : Structural and Multidisciplinary Optimization
Year : 2020
FEA of SAW penetration of Ramor 500 steel
Cite this Research Publication : A. Kaya Gur, Taskaya, S., Shankar, S., and T. Mohanraj, “FEA of SAW penetration of Ramor 500 steel”, Materials Testing, vol. 62, no. 12, pp. 1192–1198, 2020.
Publisher : Materials Testing, De Gruyter,
Year : 2020
Design and analysis of a strain gauge based eight-shaped elliptical ring dynamometer for milling force measurement
Cite this Research Publication : T. Mohanraj, Deepesh, T., Dhinesh, R., Jayaprakash, S., and S Krishna, S., “Design and analysis of a strain gauge based eight-shaped elliptical ring dynamometer for milling force measurement”, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, p. 0954406220967681, 2020.
Publisher : Proceedings of the Institution of Mechanical Engineers
Year : 2020
Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms
Cite this Research Publication : Mohanraj, T., Yerchuru, J., Krishnan, H., Nithin Aravind, R.S., Yameni, R., “Development of tool condition monitoring system in end milling process using wavelet features and Hoelder's exponent with machine learning algorithms”, Measurement: Journal of the International Measurement Confederation, No.108671, DOI: 10.1016/j.measurement.2020.108671, IF3.364, October 2020.
Publisher : Measurement: Journal of the International Measurement Confederation
Year : 2020
Design, development, calibration, and testing of indigenously developed strain gauge based dynamometer for cutting force measurement in the milling process
Cite this Research Publication : T. Mohanraj, Shankar, S., Rajasekar, R., and Uddin, M. S., “Design, development, calibration, and testing of indigenously developed strain gauge based dynamometer for cutting force measurement in the milling process”, Journal of Mechanical Engineering and Sciences, vol. 14, no. 2, pp. 6594–6609, 2020.
Publisher : Journal of Mechanical Engineering and Sciences
Year : 2020
Tool condition monitoring techniques in milling process-a review
Cite this Research Publication : Mohanraj, T., Shankar, S., Rajasekar, R., Sakthivel, N.R., Pramanik, A., “Tool condition monitoring techniques in milling process-a review”, Journal of Materials Research and Technology, Volume 9, Issue 1(link is external), Pages 1032-1042, DOI: 10.1016/j.jmrt.2019.10.031, IF:5.289, February 2020
Publisher : Journal of Materials Research and Technology
Year : 2020
Tool condition monitoring techniques in milling process — a review
Cite this Research Publication : T. Mohanraj, Shankar, S., Rajasekar, R., Dr. Sakthivel N.R., and Pramanik, A., “Tool condition monitoring techniques in milling process — a review”, Journal of Materials Research and Technology, vol. 9, pp. 1032 - 1042, 2020.
Publisher : Journal of Materials Research and Technology
Year : 2020
Tool wear prediction in hard turning of EN8 steel using cutting force and surface roughness with artificial neural network
Cite this Research Publication : T. Mohanraj, SK, T., and Shankar, S., “Tool wear prediction in hard turning of EN8 steel using cutting force and surface roughness with artificial neural network”, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Scienc, vol. 234, no. 1, pp. 329-342, 2020.
Publisher : Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Scienc,
Year : 2020
Evaluation of Shoulder Pain Among the Workers Involved in Ironing Process Using Surface Electromyography
Cite this Research Publication : T. Mohanraj, M, A., K., V. K. C., and Vijay, M., “Evaluation of Shoulder Pain Among the Workers Involved in Ironing Process Using Surface Electromyography”, Journal of Medical Imaging and Health Informatics, vol. 10, 1 vol., 2020.
Publisher : Journal of Medical Imaging and Health Informatics, American Scientific Publishers
Year : 2020
Process parameter optimization for the magnetic abrasive finishing of SS310s steel
Cite this Research Publication : T. Mohanraj, Suganeswaran, K., Parameshwaran, R., and Meenakshipriya, B., “Process parameter optimization for the magnetic abrasive finishing of SS310s steel”, Materials Testing, vol. 62, no. 2, 2020.
Publisher : Materials Testing,
Year : 2019
Experimental analysis on the performance of abrasive waterjet cutting of glass fiber reinforced plastics using response surface methodology
Cite this Research Publication : Shanmugam, A., Krishnamurthy, K., Mohanraj, T. 2019. Experimental analysis on the performance of abrasive waterjet cutting of glass fiber reinforced plastics using response surface methodology. Journal of the Balkan Tribological Association, 25(4), pp. 1038–1051
Year : 2019
The process parameter optimization for grey cast iron in turning process using response surface methodology
Cite this Research Publication : T. Mohanraj and M, D. Kumar, “The process parameter optimization for grey cast iron in turning process using response surface methodology”, International Journal of Mechanical and Production Engineering Research and Development, vol. 9, pp. 997-1006, 2019.
Publisher : , International Journal of Mechanical and Production Engineering Research and Development,
Year : 2019
The effect of bio-cutting fluids on surface roughness during end milling of A359 aluminium alloy
Cite this Research Publication : A. J., ,, T. Mohanraj, and , “The effect of bio-cutting fluids on surface roughness during end milling of A359 aluminium alloy”, International Journal of Mechanical and Production Engineering Research and Development, vol. 9, pp. 987-996, 2019.
Publisher : nternational Journal of Mechanical and Production Engineering Research and Development
Year : 2019
Tool Condition Monitoring in the Milling Process with Vegetable based Cutting Fluids using Vibration Signatures
Cite this Research Publication : T. Mohanraj, Shankar, S., Rajasekar, R., Deivasigamani, R., and Arunkumar, P. Muthusamy, “Tool condition monitoring in the milling process with vegetable based cutting fluids using vibration signatures”, Materials Testing, vol. 61, no. 3, pp. 282–288, 2019.
Publisher : Materials Testing, De Gruyter,
Year : 2019
Tool Condition Monitoring While Using Vegetable Based Cutting Fluids During Milling of Inconel 625
Cite this Research Publication : S. Shankar, T. Mohanraj, and Pramanik, A., “Tool Condition Monitoring While Using Vegetable Based Cutting Fluids During Milling of Inconel 625”, Journal of Advanced Manufacturing Systems, vol. 18, no. 4, 2019.
Publisher : Journal of Advanced Manufacturing Systems
Year : 2019
Experimental study of surface roughness and taper angle in abrasive water jet machining of 7075 Aluminium composite using Response Surface Methodology
Cite this Research Publication : A. SHANMUGAM, KRISHNAMURTHY, K., and T. Mohanraj, “Experimental study of surface roughness and taper angle in abrasive water jet machining of 7075 Aluminium composite using Response Surface Methodology”, Surface Review and Letters (Accepted), vol. 27, no. 3, p. 1950112, 2019.
Publisher : Surface Review and Letters (Accepted)
Year : 2019
Experimental Investigation on the Influence of Carbon-based Nanoparticle Coating on Heat Transfer Characteristics of the Microprocessor
Cite this Research Publication : T. Mohanraj, Tamilarasi, T., Rajasekar, R., Saminathan, K., and Ravichandran, K., “Experimental Investigation on the Influence of Carbon-based Nanoparticle Coating on Heat Transfer Characteristics of the Microprocessor”, Journal of Composite Materials , 2019.
Publisher : Journal of Composite Materials ,
Year : 2019
Prediction of Cutting Tool Wear during Milling Process using Artificial Intelligence Techniques
Cite this Research Publication : S. Shankar, T. Mohanraj, and Rajasekar, R., “Prediction of Cutting Tool Wear during Milling Process using Artificial Intelligence Techniques”, International Journal of Computer Integrated Manufacturing, vol. 32, pp. 174-182, 2019.
Publisher : International Journal of Computer Integrated Manufacturing
Year : 2019
Optimization of milling parameters using vegetable oil by measuring vibration signal
Cite this Research Publication : P. M. Arunkumar, T. Mohanraj, Ananthi, K., Abbhimanneu, S. J., Aravindh, R., Praveen, T. A., Balaji, S., Dinesh, P. K., and P. Joseph, L., “Optimization of milling parameters using vegetable oil by measuring vibration signal”, International Journal of Innovative Technology and Exploring Engineering, vol. 8, pp. 706-711, 2019.
Publisher : International Journal of Innovative Technology and Exploring Engineering
Year : 2017
Influence of Vegetable Based Cutting Fluids on Cutting Force and Vibration Signature During Milling of Aluminium Metal Matrix Composites
Cite this Research Publication : T. Mohanraj, Shankar, S., and Ponappa, K., “Influence of Vegetable Based Cutting Fluids on Cutting Force and Vibration Signature During Milling of Aluminium Metal Matrix Composites”, Jurnal Tribologi, vol. 12, pp. 1-17, 2017.
Publisher : Jurnal Tribologi
Year : 2017
Experimental Investigation and Process Parameter Optimization in Milling of 7075 – T6 Hybrid Aluminium Metal Matrix Composite using esponse Surface methodology
Cite this Research Publication : T. Mohanraj and Shankar, S., “Experimental Investigation and Process Parameter Optimization in Milling of 7075 – T6 Hybrid Aluminium Metal Matrix Composite using esponse Surface methodology”, Journal of the Balkan Tribological Association, vol. 23, pp. 124–138, 2017.
Publisher : Journal of the Balkan Tribological Association
Year : 2016
Multi-Response Milling Process Optimization using the Taguchi Method Coupled to Grey Relational Analysis
Cite this Research Publication : T. Mohanraj, Shankar, S., and Thangarasu, S. K., “Multi-Response Milling Process Optimization using the Taguchi Method Coupled to Grey Relational Analysis”, Materials Testing, vol. 58, no. 5, pp. 462-470, 2016.
Publisher : Materials Testing
Year : 2015
Prediction of Cutting Force in Turning Process: An Experimental and Fuzzy Approach
Cite this Research Publication : T. Mohanraj, S., S., Thangarasu, S. K., and Pravien, D. S., “Prediction of Cutting Force in Turning Process: An Experimental and Fuzzy Approach”, Journal of Intelligent & Fuzzy Systems, vol. 28, no. 4, pp. 1785-1793, 2015.
Publisher : Journal of Intelligent Fuzzy Systems,
Year : 2015
Optimization of Process Parameter for Surface Roughness in Milling Process using Response Surface Methodology
Cite this Research Publication : T. Mohanraj, Saravanan, B., and Ameen, M. Al, “Optimization of Process Parameter for Surface Roughness in Milling Process using Response Surface Methodology”, IOSRD International Journal of Engineering, vol. 2, no. 2, pp. 11-16, 2015.
Publisher : IOSRD International Journal of Engineering
Year : 2014
Mobile Robot Path Planning using Ant Colony Optimization
Cite this Research Publication : T. Mohanraj, Arunkumar, S., Raghunath, M., and Anand, M., “Mobile Robot Path Planning using Ant Colony Optimization”, International Journal of Research in Engineering and Technology, vol. 3, no. 11, pp. 1-16, 2014.
Publisher : International Journal of Research in Engineering and Technology
Year : 2009
Automation and Emerging Technology Development of 2d Seed Sowing Robo
Cite this Research Publication : S. C. M. Amie and T. Mohanraj, “Automation and Emerging Technology Development of 2d Seed Sowing Robo”, Journal of Agricultural Science (Toronto), vol. 1, no. 1, pp. 33-52, 2009.
Publisher : Journal of Agricultural Science (Toronto)