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Hire Lilly M.
India
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Mechanical Engineering PhD | Expert in Scientific Writing, Experimental Design, Data Analysis, Thesis Support
Profile Summary
Subject Matter Expertise
Services
Work Experience
Senior Program Manager
THORS eLearning Solutions
June 2022 - Present
Senior Program Manager
THORS eLearning Solutions
June 2022 - Present ![]()
Assistant Professor
Sathyabama Institute of Science and Technology (Deemed to be University)
June 2011 - April 2022 ![]()
Lecturer
Thangavelu Engineering College
August 2008 - May 2011 ![]()
Lecturer
Thangavelu Engineering College
July 2001 - May 2004 ![]()
Education
Doctor of Philosophy (Mechanical Engineering)
Sathyabama Institute of Science and Technology
June 2013 - April 2018 ![]()
Master of Engineering (Computer Aided Design)
Sathyabama University
2009 - 2011 ![]()
Bachelor of Engineering (Production Engineering)
Karunya University
1996 - 2000 ![]()
Certifications
- Certification details not provided.
Publications
JOURNAL ARTICLE
J Lilly Mercy, R Velmurugan, T Sasipraba, Chrystella Jacob (2020). Neurofuzzy modelling of moisture absorption kinetics and its effect on the mechanical properties of pineapple fibre-reinforced polypropylene composite . Journal of Composite Materials.
Rajesh, R., Lilly Mercy, J., Ravikumar, S., Singh, A.(2017). Design and analysis of tool wear characteristics during turning using deform 3D . ARPN Journal of Engineering and Applied Sciences. 12. (17). p. 4940-4952.
Mercy, J.L., Prakash, S., Krishnamoorthy, A., Ramesh, S., Anand, D.A.(2017). Experimental investigation and multiresponse genetic optimization of drilling parameters for self-healing GFRP . Journal of Mechanical Science and Technology. 31. (8). p. 3777-3785.
Baskaran, V., Prakash, S., Lilly Mercy, J.(2017). Experimental investigation of machining parameters in CNC turning EN 8 steel by taguchi design of experiments . ARPN Journal of Engineering and Applied Sciences. 12. (20). p. 5751-5757.
Lilly Mercy, J., Prakash, S.(2017). Investigation on the dynamic mechanical properties of self-healing glass fibre reinforced plastics . International Journal of Vehicle Structures and Systems. 9. (2). p. 113-116.
Lilly Mercy, J., Prakash, S., Krishnamoorthy, A., Ramesh, S., Alex Anand, D.(2017). Multi response optimisation of mechanical properties in self-healing glass fiber reinforced plastic using grey relational analysis . Measurement: Journal of the International Measurement Confederation. 110. p. 344-355.
Jayachandran, Arjun, H., Lilly Mercy, J.(2016). A study on hair and coir reinforced polymer composite . International Journal of ChemTech Research. 9. (4). p. 357-363.
Lilly Mercy, J., Prakash, S.(2016). Experimental Investigation and Neuro Fuzzy Modeling of Inplane Shear Strength for Self Healing GFRP . Transactions of the Indian Institute of Metals. p. 1-9.
Mercy, J.L., Prakash, S.(2016). Self healing composite materials: A review . International Journal of ChemTech Research. 9. (3). p. 316-324.
Prem Kumar, N., Lilly Mercy, J.(2015). Experimental investigation and analysis of the mechanical properties of wood reinforced polymer composites . International Journal of Applied Engineering Research. 10. (8). p. 19159-19166.
Vijayalakshmi, P., Lilly Mercy, J.(2015). Failure analysis and re-design of tractor brake actuating link . Indian Journal of Science and Technology. 8. (11).
Senguttuvan, N., Lillymercy, J.(2015). Joint strength analysis of single lap joint in glass fiber composite material . International Journal of Applied Engineering Research. 10. (7). p. 16535-16545.
Prakash, S., Mercy, J.L., Goswami, K.(2014). A systemic approach for evaluating surface roughness parameters during drilling of medium density fiberboard using Taguchi method . Indian Journal of Science and Technology. 7. (11). p. 1888-1894.
(2012). Adaptive Neuro Fuzzy Inference System Modeling of Thrust force in drilling Particle Board Composites . International Journal on Design and Manufacturing Technologies.
(2012). Empirical Modeling of process parameters on drilling of Medium Density Fiber Board panel by Carbide step drill using Yate’s algorithm . International Journal on Design and Manufacturing Technologies.
Prakash, S., Lilly Mercy, J., Palanikumar, K., Ramesh, S., Rizwan Jamal, M.I., James Michael, A.(2012). Experimental studies on surface roughness in drilling MDF composite panels using Taguchi and regression analysis method . Journal of Applied Sciences. 12. (10). p. 978-984.
(2012). ’Multiple performance optimisation of machining parameters of drilling hybrid mica composites using Taguchi based grey relational analysis . International Journal on Design and Manufacturing Technologies.
(2011). Evaluation of surface roughness parameters (Ra, Rz) in drilling of MDF composite panel using Box-Behnken Experimental Design(BBD) . International Journal on Design and Manufacturing Technologies.
CONFERENCE PAPER
Lilly Mercy, J., Tanvir, M.S., Swaroopkanth, K.(2017). Experimental Investigation and Taguchi Optimisation of Drilling Properties on Teak Wood Reinforced Epoxy Resin . IOP Conference Series: Materials Science and Engineering. 197. (1).
Krishnamoorthy, A., Lilly Mercy, J., Vineeth, K.S.M., Salugu, M.K.(2015). Delamination Analysis of Carbon Fiber Reinforced Plastic (CFRP) Composite plates by Thermo graphic technique . Materials Today: Proceedings. 2. (4-5). p. 3132-3139.
Prakash, S., Mercy, J., Salugu, M.K., Vineeth, K.S.M.(2015). Optimization of Drilling Characteristics using Grey Relational Analysis (GRA) in Medium Density Fiber Board (MDF) . Materials Today: Proceedings. 2. (4-5). p. 1541-1551.
Prakash, S., Mercy, J.L., Teja, P.V.S., Vijayalakshmi, P.(2014). ANFIS modeling of delamination during drilling of Medium Density Fiber (MDF) board . Procedia Engineering. 97. p. 258-266.
(2011). A RSM BASED STATISTICAL APPROACH IN THE EVALUATION OF DELAMINATION IN THE DRILLING OF PARTICLE BOARD PANELS. Proceedings of the International Conference on Design and Advances in Mechanical Engineering (ICDAAME),SKP Engineering College, Tiruvannamalai.
(2011). Development of an empirical model for surface roughness in drilling particle board composite- DOE and ANFIS approach . Proceedings of the International Conference on Computational Methods in Manufacturing (ICCMM), IIT Guwahati.
(2011). of an empirical model for surface roughness in drilling of particle board composite-Response surface metamodel approach. Proceedings of the National Conference on Recent Trends in Manufacturing Technologies, Anna University.
(2010). Prediction of surface roughness parameters in drilling of MDF composite using Box Behnken experimental design . International Conference on Frontiers in automobile and Mechanical Engineering.
Prakash, S., Lillymercy, J., Nithiyalakshmi, S., Palanikumar, K.(2010). Prediction of surface roughness parameters in drilling of MDF composite panel using Box-Behnken experimental Design (BBD) . Proceedings of the International Conference on Frontiers in Automobile and Mechanical Engineering - 2010, FAME-2010. p. 68-74.
BOOK
Mercy, J.L., Prakash, S., Vijayalakshmi, P., Siva Teja, P.V.(2014). Multi response optimization of drilling parameters during drilling of particle board using grey relational analysis . Applied Mechanics and Materials. 592-594. p. 530-533.