DEPARTMENT OF MECHANICAL ENGINEERING

Dr. D. Pradeep Kumar

Designation:Assistant Professor (Sr. Gr.) & Assistant Director (Transport)
Nature of Employment:Regular
Date of Joining:03-01-2011
Qualification:B.E,.M.E,.Ph.D
Phone:+91 44 2275 9200, 77 (Office)
Email ID:pradeep@crescent.education

Teaching

Educational Background

ProgrammeDisciplineYear of PassingUniversity
Ph.DTool Condition Monitoring2022B.S.Abdur Rahman Crescent Institute of Science and Technology, Chennai
M.EManufacturing Engineering2010Madras Institute of Technology, Anna University, Chennai.
B. EMechanical Engineering2008Thanthai Periyar Government Institute of Technology, Vellore. (Affiliated to Anna University, Chennai).

Work Experience

DesignationInstitutionDurationNo. of Years
Assistant ProfessorB.S.Abdur Rahman Crecsent Institute of Science and Technology03/01/2011 to Till Date12
LecturerSree Sastha Institute of Engineering and Technology09/07/2010 to 31/12/20100.5

Lecture Courses

  • Metrology and Mechanical Measurements
  • Design of Hydraulics and Pneumatics
  • Solid Mechanics
  • Engineering Graphics
  • Engineering Mechanics
  • Kinematics of Machinery

Research

Area of Research Interest

  • Metal Cutting and Metrology
  • Tool Condition Monitoring
  • Fault Diagnosis using Machine Learning

Publications

Publications in SCI/Scopus Indexed Journal

  • D Pradeep Kumar., V Muralidharan., & S Ravikumar. (2022). Histogram as features for fault detection of multi point cutting tool – A data driven approach.Applied Acoustics,186, 108456, doi.org/10.1016/j.apacoust.2021.108456.
  • Pradeep Kumar D., Muralidharan V., & Syed Shaul Hameed. (2022). Multi-Point Tool Condition Monitoring System – A Comparative Study. FME Transactions, Vol. 50, No. 1, pp 193-201, doi:10.5937/fme2201193K.
  • Shaul Hameed Syed., Muralidharan, V., Pradeep Kumar D., & Ravikumar S (2021).Fault Classification using Fuzzy Logic in an Epicyclic Gearbox with Statistical Features(No. 2021-28-0220). SAE Technical Papers, doi:10.4271/2021-28-0220.
  • Pradeep Kumar Durairaj., & Muralidharan Vaithiyanathan. (2019). Tool Condition Monitoring in Face Milling Process Using Decision Tree and Statistical Features of Vibration Signal(No. 2019-28-0142). SAE Technical Papers, doi:10.4271/2019-28-0142.

International/National Conference

  • D.Pradeep Kumar, V. Muralidharan, Syed Shaul Hameed & S. Ravikumar (2022).Fault Classification of Face Milling Tool Using Vibration Signals and Histogram Features–A Machine Learning Approach. No. 2022-28-0555. SAE Technical Papers, doi.org/10.4271/2022-28-0555
  • Syed Shaul Hameed, V. Muralidharan, D. Pradeep Kumar, & S. Ravikumar (2022). Effect of k-Nearest Neighbours (k-NN) in Classifying Planetary Gearbox Faults Using Statistical Features. No. 2022-28-0556. SAE Technical Papers, doi.org/10.4271/2022-28-0556
  • S.Ravikumar, Syed Shaul Hameed, V. Muralidharan, and D. Pradeep Kumar (2022) Real-Time Condition Monitoring of Multi-Component High Torque Helical Gearbox in Coal Handling Belt Conveyor System Using Machine Learning–A Statistical Approach. No. 2022-28-0529. SAE Technical Papers, doi.org/10.4271/2022-28-0529
  • Shaul Hameed Syed., Muralidharan, V., Pradeep Kumar D., & Ravikumar S (2021). Fault Classification using Fuzzy Logic in an Epicyclic Gearbox with Statistical Features (No. 2021-28-0220). SAE Technical Papers, doi:10.4271/2021-28-0220.
  • Mohamed Aatiq., V. Muralidharan., & D. Pradeep Kumar (2021). A Statistical Approach for fault detection in Multi-Point tool cutter using vibration signals. International Conference on Advances in Mechanical Engineering Design, ICAMED 146, SRMIST, 2021.
  • Pradeep Kumar. D and Jothilingam. A (2010). Optimization of Process Parameters of Plasma Arc Welding for Engine Valve Manufacturing. National Conference on Recent Trends in Production Engineering, MIT Campus, Anna University, April 2010.

Major FDP / Workshop / Seminar Attended & Organized

  • Coordinated a One Day Safe Driving Program for Tamil Nadu School and College Bus Drivers on 15/04/2023 in association with Centre of Excellence for Road Safety (CoERS), IIT Madras, Mando Anand and Red Chariots
  • Organized a One Day Revitalize Program for In-House Transport Staff on 08/04/2023 in association with Department of Physical Education, BSACIST
  • Completed an AICTE sponsored Short Term Course on “Prognostics and Health Management of Engineering Systems”, conducted by the Center for Continuing Education, Indian Institute of Technology Madras during 07/03/2022 to 12/03/2022.
  • Attended online webinar on “Mathematical Applications in Data Science”, organized by Department of Mathematics and Actuarial Science, B.S.Abdur Rahman Crescent Institute of Science and Technology on 31/01/2022.
  • Participated an AICTE sponsored Short Term Training Programme on “Artificial Intelligence and Deep Learning Techniques” (Slot II). organized by Department of Information Technology, B.S.Abdur Rahman Crescent Institute of Science and Technology during 01/02/2021 – 06/02/2021.
  • Attended online webinar on “Condition Based Monitoring for CNC Machine Tools” organized by Central Manufacturing Technology Institute, Bangalore on 09/09/2020.
  • Participated online webinar on “Industry 4.0” organized by Department of Mechanical Engineering, Loyola ICAM on 04/06/2020.
  • Participated two days FDP on “Applications of Image Processing using Matlab”, organized by Department of ECE, B.S.Abdur Rahman Crescent Institute of Science and Technology during 02/05/2019 – 03/05/2019.
  • Participated in an AICTE sponsored Short Term Course on “Digital Optical Measurements: Digital Photo elasticity and Digital Image Correlation” organized by Indian Institute of Technology Madras during 12/09/2016 – 17/09/2016.
  • Undergone an Internship Training Programme in the area of “Hard Grooving Process of Turbine shaft, at Sundaram Fasteners, Chennai during 27/06/2016 – 22/07/2016.

Extension

Additional Responsibilities

  • Assistant Director (Transport), Estate Office since November 2022
  • Review Committee Member – MEC 4211 Project Work
  • Member – B. Tech Mechanical Engineering Curriculum revision, Technical Events & Accreditation related works (Department Level)