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プロフィール詳細
プロジェクトを作成
★★★★★
☆☆☆☆☆
Lilly M.に依頼
India

Mechanical Engineering PhD | Expert in Scientific Writing, Experimental Design, Data Analysis, Thesis Support

プロフィール概要
専門分野
サービス
Writing Technical Writing
Research Scientific and Technical Research, Systematic Literature Review
Data & AI Predictive Modeling, Statistical Analysis
職務経験

Senior Program Manager

THORS eLearning Solutions

6月 2022 - 現在

Senior Program Manager

THORS eLearning Solutions

6月 2022 - 現在

Assistant Professor

Sathyabama Institute of Science and Technology (Deemed to be University)

6月 2011 - 4月 2022

Lecturer

Thangavelu Engineering College

8月 2008 - 5月 2011

Lecturer

Thangavelu Engineering College

7月 2001 - 5月 2004

学歴

Doctor of Philosophy (Mechanical Engineering)

Sathyabama Institute of Science and Technology

6月 2013 - 4月 2018

Master of Engineering (Computer Aided Design)

Sathyabama University

2009 - 2011

Bachelor of Engineering (Production Engineering)

Karunya University

1996 - 2000

認定資格
  • 認定資格の詳細は未入力です。
出版物
JOURNAL ARTICLE
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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1-9.
Mercy, J.L., Prakash, S.(2016). Self healing composite materials: A review . International Journal of ChemTech Research. 9. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1888-1894.
(2012). Adaptive Neuro Fuzzy Inference System Modeling of Thrust force in drilling Particle Board Composites . 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 978-984.
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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 530-533.