Ph.D, M.E, BE

Dr. N. Jayanth currently serves as an Assistant Professor at the Department of Mechanical Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore. He received his B. E. in Mechanical Engineering from Anna University, Chennai and M. E. in Computer Integrated Manufacturing from PSG College of Technology, Coimbatore. He is completed Ph. D. in Production Engineering from National Institute of Technology, Tiruchirappalli.


Degree Name of the University Year of Passing
Ph. D. Production Engineering NIT Trichy  
M. E. CIM PSG College of Technology - Coimbatore 2015
B. E. Mechanical Engineering Anna University Chennai 2013


Publication Type: Journal Article

Year of Publication Title


J. N. and Senthil, P., “Application of 3D printed ABS based conductive carbon black composite sensor in void fraction measurement”, Composites Part B: Engineering, vol. 159, pp. 224-230, 2019.[Abstract]

The application range of fused deposition modeling (FDM) process has been increased by the introduction of multifunctional materials. These materials exhibit enhanced mechanical and thermal properties. In addition to that, some materials like graphene, carbon nanotubes and carbon black have the conductive properties and can be used in electronic applications. In this research work acrylonitrile butadiene styrene (ABS) based carbon black (CB) filament is used for three dimensional (3D) printing the low cost concave capacitive sensor and it is used to measure the void fraction of the two-phase flow. The capacitance values for different void fractions are measured using 3D printed sensor and compared with the copper sensor. Also, the effect of parameters such as thickness and width of sensors on capacitance values are studied, and a prediction model using regression analysis is developed and validated to find the void fraction value. Analysis of variance (ANOVA) is done to find the significant factors affecting the capacitance values obtained for different void fraction values. © 2018 Elsevier Ltd

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J. N., Senthil, P., and Prakash, C., “Effect of chemical treatment on tensile strength and surface roughness of 3D-printed ABS using the FDM process”, Virtual and Physical Prototyping, vol. 13, no. 3, pp. 155-163, 2018.[Abstract]

Fused deposition modelling (FDM) is one of the most commonly used additive manufacturing processes because of its environment-friendly nature and cost-effectiveness. However, it suffers badly from low surface quality due to a larger layer resolution. The surface finish of FDM parts can be enhanced by post chemical treatment using various solvents. The chemical treatment reduces the surface roughness by dissolving the external surfaces of 3D-printed samples. Chemical treatment is an easy, fast and economical technique. In the present investigation, the effect of chemical treatment on surface roughness and tensile strength of acrylonitrile butadiene styrene (ABS) parts made using the FDM process is investigated using two chemicals, namely acetone and 1, 2 dichloroethane. The post chemical treatment dramatically improves the surface finish and dimensional accuracy of ABS specimens. But chemical treatment results in the reduction of the tensile strength. Better tensile strength is obtained while using acetone solvent and a better surface finish is obtained using dichloroethane. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

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N. Mohan, Senthil, P., Vinodh, S., and N., J., “A review on composite materials and process parameters optimisation for the fused deposition modelling process”, Virtual and Physical Prototyping, vol. 12, no. 1, pp. 47-59, 2017.[Abstract]

Fused deposition modelling is the most significant technique in additive manufacturing (AM) that refers to the process where successive layers of material are deposited in a computer-controlled environment to create a three-dimensional object. The main limitations of using fused deposition modelling (FDM) process in the industrial applications are the narrow range of available materials and parts fabricated by FDM are used only as demonstration or conceptual parts rather than as functional parts. Recently, researchers have studied many ways in order to increase the range of materials available for the FDM process which resulted in the increase in the scope of FDM in various manufacturing sectors. Most of the research are focussed on the composite materials such as metal matrix composites, ceramic composites, natural fibre-reinforced composites and polymer matrix composites. This article intends to review the research carried out so far in developing samples using different composite materials and optimising their process parameters for FDM in order to improve different mechanical properties and other desired properties of the FDM components. © 2017 Informa UK Limited, trading as Taylor & Francis Group.

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J. N. and Ravi, K. R., “Modeling Of Laser Based Direct Metal Deposition Process”, International Journal On Engineering Technology and Sciences–IJETSTM, ISSN (P), pp. 2349–3968, 2015.[Abstract]

Fabrication of metallic prototypes and functional parts is now possible using the Laser Based Direct Metal Deposition (LBDMD) process. It makes realistic components with dimensional accuracy of 0.25 mm. This process is suitable for making metallic components as well as composites. Hence LBDMD is the one of the useful technique to repair dies and aircraft components. This paper explains the design and fabrication of nozzle suitable for DMD. It also describes the various components of LBDMD process and their functions. It also gives the applications and advantages of LBDMD process.

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Publication Type: Conference Paper

Year of Publication Title


J. N. and Senthil, P., “Effect of Chemical Treatment on Tensile Strength and surface roughness of Fused Deposition Modeling Materials”, in International Conference on Manufacturing Technology and Simulation, 2017.


J. N., Senthil, P., and Vinodh, S., “Experimental Investigation on Effect of Process Parameters on Tensile Strength of 3D Printed Poly Lactic Acid Specimens”, in Proceedings of 6th International & 27th All India Manufacturing Technology, Design and Research Conference (AIMTDR), 2016.