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Dr. Sakthivel N. R.

Associate Professor, Department of Mechanical Engineering, School of Engineering, Coimbatore

Qualification: Ph.D
nr_sakthivel@cb.amrita.edu
Dr. Sakthivel N. R's Google Scholar Profile
Research Interest: Condition Monitoring, Finite Element Methods (FEM), Machine Learning

Bio

Dr. Sakthivel N. R. currently serves as Associate Professor at Department of Mechanical Engineering, School of Engineering, Coimbatore Campus. His areas of research include Machine Learning, Condition Monitoring and Finite Element Methods.

Education

  • 2009 – 2013 : Doctorate in Mechanical Engineering [Specialized in Condition Monitoring Using Machine Learning Approach]
    Karpagam University, Coimbatore, Tamilnadu
  • 1998 – 1999 : Masters Degree in Mechanical Engineering [Specialized in Engineering Design]
    Bharathiyar University, Coimbatore
  • 1994 – 1998 : Bachelor’s Degree in Mechanical Engineering
    Bharathiyar University, Coimbatore

Certification

Completed certification course in E Commerce from Kashyap Radiant System, Coimbatore, in the year 2000.

Awards and Honours

  • University second rank holder in ME
  • Outstanding reviewer of International Journal of Applied Soft Computing (Official journal of world federation of soft computing), An Elsevier Publisher (Impact Factor: 2.818)

Experience

  • Present :
    • Associate Professor

 

  • October, 2013 :

Assistant professor (Selection Grade)
School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore

  • August 2009 – September 2013 :

Assistant Professor (Senior Grade)
School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore

  • July 2007 – July 2009 :

Senior Lecturer
Amrita Vishwa Vidyapeetham, Coimbatore

  • December 2004 – June 2007 :

Lecturer
Kongu Engineering College, Perundurai

  • November 2001 – December 2004 :

Lecturer-Production Engineering
Karunya University, Coimbatore. .

  • February 2000 – August 2001 :

Faculty –CAD
Caliber InfoTech (India) Pvt. Ltd .

Summary of Courses Taught

Course Name Semester Class
Design of Machine Elements –I V B.Tech Mechanical Engineering
Design of Machine Elements –II VI B.Tech Mechanical Engineering
Engineering Drawing II B.E., Mechanical Engineering
Mechanics of solids III B.E., Mechanical Engineering
Advanced Mechanism Design II M.tech., Engineering Design
Finite Element Analysis I M.tech., Engineering Design
Kinematics of Machinery IV B.Tech Mechanical Engineering
Dynamics of Machinery V B.Tech Mechanical Engineering
Automobile Engineering VII B.E., Production Engineering
Mechanical Vibrations I M.tech., Engineering Design
Engineering Graphics II B.Tech Mechanical Engineering
Design and Analysis Lab II M.tech., Engineering Design
Modelling Lab I M.tech., Engineering Design
Manufacturing Process Lab-I IV B.Tech Mechanical Engineering
Manufacturing Process Lab-II V B.Tech Mechanical Engineering
Workshop I B.Tech Mechanical Engineering

Student’s Projects Guided

  • Design and analysis of thermo mechanically treated bar bending machine.
  • Automated drafting of pressure vessel components using Auto LISP.
  • Modelling of Helmet through reverse engineering.
  • Finite element modelling and analysis of Bogie Frame.
  • Analysis of heavy duty gear box.
  • Design and analysis of geared bicycle.
  • Analysis and optimization of quick closing non-return valve chest and disc.
  • Design of low cost sugar cane harvesting machine.
  • Rule generation for fault diagnosis of centrifugal pump using Fuzzy logic.
  • Fault diagnosis of compressor using machine learning approach.
  • Structural analysis of bus chassis.
  • Tool condition monitoring using data mining approach.

Membership in Professional Bodies

  • Life Member of Indian Society for Technical Education (MISTE).

Research Interest

Research interest includes acoustic and vibration based condition monitoring using machine learning techniques, Fault diagnosis, Prediction of Chatter in machining using machine learning techniques, Condition monitoring of cutting tools, Fault diagnosis of rotational mechanical systems etc .

Funded Projects

  • Currently working as co-investigator in the Department of science and technology funded project (Project amount: INR22 lakhs)
  • One project applied to Department of science and technology DST (Project amount: INR 20 lakhs)

Reviewer in Journals/Conferences

  1. Applied Soft Computing. An Elsevier publisher.
  2. Measurement. An Elsevier publisher.
  3. Swarm and Evolutionary Computation. An Elsevier publisher.
  4. Engineering Science and Technology, an International Journal, An Elsevier publisher.
  5. Robust and Nonlinear Control. Wiley Blackwell publisher.
  6. Shock and Vibration-An IOS press publisher.
  7. Signal and Information Processing. Scientific research publisher.
  8. Advances in Mechanical Engineering, Hindawi publisher.
  9. Iranian journal of Fuzzy Systems.
  10. Recent Patents on Computer Science, Bentham Science publisher.
  11. Engineering Science &Technology, Published by Taylor’s University.
  12. Vibration and Control, Sage publisher
  13. Mechanical Engineering Science, SAGE publisher.
  14. Structural Durability & Health Monitoring, Tech science Publisher.
  15. Frontiers of Information Technology & Electronic Engineering, Springer.
  16. Mechanical Systems and Signal Processing, An Elsevier publisher

Seminars/Symposia/Workshops/In Plant Training Attended

  • Attended in plant training at Bharat Heavy Electricals Limited, Trichy, India from 02-06-1997 to 14-06-1997.
  • Completed the beginner’s course of the Intel Teach to the Future programme at Karunya Institute of Technology and Science, Coimbatore, India from 11-07-2002 to 20-07-2002.
  • Attended advanced course on Computational Fluid Dynamics at Karunya Institute of Technology and Science, Coimbatore, India from 25th November to 30th November 2002.
  • Participated seminar on Leadership and skills development at Karunya Institute of Technology and Science, Coimbatore, India from 12th to 13th June 2003.
  • Completed the course on Professional Ethics conducted by Anna University, Chennai at Kongu Engineering College, Erode, India from 9th to 14th May 2005.
  • Participated in Computer Familiarity – Basic level course conducted by Information Technology Department at Kongu Engineering College, from 15th to 20 Sep 2005.
  • Attended a Course on Computer Networking organised by Computer Technology Department, Kongu Engineering College from 1st to 5th Dec 2006.
  • Participated AICTE-ISTE sponsored short term training programme on “Product Design for Environment and FACE” organised by Amrita Vishwa Vidyapeetham from 30-06-2008 to 07-07-2008.
  • Participated AICITE sponsored national seminar on “Recent Developments and Challenges in Automotive Tribology” at Kongu Engineering College from 29th to 30th April 2010
  • Attended workshop on Welding & Non Destructive Testing held at Amrita Amrita Vishwa Vidyapeetham from 31st March to 1st April 2012.

Invited Lectures/ Chair Sessions

  • R.Sakthivel delivered a Lecture on gear design in AICTE sponsored faculty development programme conducted at Sri Ramakrishna Engineering College, Coimbatore on 20/03/2012.
  • Organised national level two day conference KARNIVISTA 2003 at Karunya University Coimbatore from 10th and 11th March 2003
  • Acted as a session chair in an International Conference on Simulation Modeling and Analysis (COSMA2011) at Amrita Vishwa Vidyapeetham, Coimbatore, India on 29-12-2011.
  • Served as reviewer in an International Conference on Simulation Modeling and Analysis (COSMA2011) at Amrita Vishwa Vidyapeetham, Coimbatore, India on 29-12-2011.
Publications

Journal Article

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 : 2019

Multi-attribute decision-making approach for Aegle marmelos pyrolysis process using TOPSIS and Grey Relational Analysis: Assessment of engine emissions through novel Infrared thermography

Cite this Research Publication : P. Baranitharan, Ramesh, K., and Sakthivel R., “Multi-attribute decision-making approach for Aegle marmelos pyrolysis process using TOPSIS and Grey Relational Analysis: Assessment of engine emissions through novel Infrared thermography”, Journal of Cleaner Production Scopus (Impact factor: 7.246)., vol. 234, pp. 315-328, 2019.

Publisher : Journal of Cleaner Production Scopus (Impact factor: 7.246)

Year : 2017

Clustering stock price time series data to generate stock trading recommendations: An empirical study

Cite this Research Publication : Dr. Binoy B. Nair, Kumar, P. K. Saravana, Dr. Sakthivel N.R., and Vipin, U., “Clustering stock price time series data to generate stock trading recommendations: An empirical study”, Expert Systems with Applications, vol. 70, pp. 20 - 36, 2017.

Publisher : Expert Systems with Applications

Year : 2017

Chatter prediction in boring process using machine learning technique

Cite this Research Publication : S. Saravanamurugan, Thiyagu, S., Dr. Sakthivel N.R., and Nair, B. B., “Chatter Prediction in Boring Process using Machine Learning Technique”, International Journal of Manufacturing Research, vol. 12, no. 4, pp. 405-422, 2017.


Publisher : International Journal of Manufacturing Research,

Year : 2016

Effect of kernel function in support vector machine for the fault diagnosis of pump

Cite this Research Publication : Dr. Sakthivel N.R., Saravanamurugan, S., Dr. Binoy B. Nair, Elangovan, M., and Sugumaran, V., “Effect of Kernel Function in Support Vector Machine for the Fault Diagnosis of Pump”, Journal of Engineering Science and Technology, vol. 11, pp. 826-838, 2016.

Publisher : Journal of Engineering Science and Technology

Year : 2014

Comparison of Dimensionality Reduction Techniques for the Fault Diagnosis of Mono Block Centrifugal Pump Using Vibration Signals

Cite this Research Publication : Dr. Sakthivel N.R., Dr. Binoy B. Nair, Dr. Elangovan M., Sugumaran, V., and Saravanamurugan, S., “Comparison of Dimensionality Reduction Techniques for the Fault Diagnosis of Mono Block Centrifugal Pump Using Vibration Signals”, Engineering Science and Technology, an International Journal, vol. 17, pp. 30 - 38, 2014.

Publisher : Engineering Science and Technology

Year : 2014

Fault Diagnosis of Monoblock Centrifugal Pump Using Stationary Wavelet Features and Bayes Algorithm

Cite this Research Publication : V. Muralidharan, Sugumaran, V., Indira, V., and Dr. Sakthivel N.R., “Fault Diagnosis of Monoblock Centrifugal Pump Using Stationary Wavelet Features and Bayes Algorithm”, Asian Journal of Science and Applied Technology, vol. 17, pp. 152 - 157, 2014.

Publisher : Asian Journal of Science and Applied Technology

Year : 2012

Application of standalone system and hybrid system for fault diagnosis of centrifugal pump using time domain signals and statistical features

Cite this Research Publication : Dr. Sakthivel N.R., Dr. Binoy B. Nair, V., S., and Roy, R., “Application of standalone system and hybrid system for fault diagnosis of centrifugal pump using time domain signals and statistical features”,  International Journal of Data Mining Modelling and Management, vol. 4, no. 1, pp. 74 - 104, 2012.

Publisher : International Journal of Data Mining, Modelling and Management

Year : 2012

Automatic rule learning using roughset for fuzzy classifier in fault categorization of mono-block centrifugal pump

Cite this Research Publication : Dr. Sakthivel N.R., Sugumaran, V., and Dr. Binoy B. Nair, “Automatic rule learning using roughset for fuzzy classifier in fault categorization of mono-block centrifugal pump”, Applied Soft Computing, vol. 12, no. 1, pp. 196 - 203, 2012

Publisher : Applied Soft Computing

Year : 2012

Soft computing approach to fault diagnosis of centrifugal pump

Cite this Research Publication : Dr. Sakthivel N.R., Dr. Binoy B. Nair, and Sugumaran, V., “Soft computing approach to fault diagnosis of centrifugal pump”, Applied Soft Computing, vol. 12, pp. 1574 - 1581, 2012.

Publisher : Applied Soft Computing

Year : 2012

Application of Stand Alone System and hybrid System for Fault Diagnosis of Centrifugal Pump using time domain features and Statistical Features

Cite this Research Publication : S. N.R, R.S, R., V, S., and B.Nair, B., “Application of Stand Alone System and hybrid System for Fault Diagnosis of Centrifugal Pump using time domain features and Statistical Features”, International Journal of Data Mining,Modelling and Management, vol. 4, no. 1, pp. 74-104, 2012.

Publisher : International Journal of Data Mining,Modelling and Management

Year : 2011

Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm

Cite this Research Publication : Dr. Elangovan M., S Devasenapati, B., Dr. Sakthivel N.R., and Dr. K. I. Ramachandran, “Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm”, Expert Systems with Applications, vol. 38, no. 4, pp. 4450–4459, 2011.

Publisher : Expert Systems with Applications

Year : 2011

Predicting stock market trends using hybrid ant-colony-based data mining algorithms: an empirical validation on the Bombay Stock Exchange

Cite this Research Publication : Dr. Binoy B. Nair, Mohandas, V. P., and Dr. Sakthivel N.R., “Predicting stock market trends using hybrid ant-colony-based data mining algorithms: an empirical validation on the Bombay Stock Exchange”, International Journal of Business Intelligence and Data Mining, vol. 6, pp. 362-381, 2011.

Publisher : International Journal of Business Intelligence and Data Mining

Year : 2011

Wavelet decomposition and support vector machine for fault diagnosis of monoblock centrifugal pump

Cite this Research Publication : Va Muralidharan, Sugumaran, Va, and Dr. Sakthivel N.R., “Wavelet decomposition and support vector machine for fault diagnosis of monoblock centrifugal pump”, International Journal of Data Analysis Techniques and Strategies, vol. 3, pp. 159-177, 2011.

Publisher : International Journal of Data Analysis Techniques and Strategies

Year : 2011

Determination of sample size using power analysis and optimum bin size of histogram features

Cite this Research Publication : Vab Indira, Vasanthakumari, Rc, Dr. Sakthivel N.R., and Sugumaran, Ve, “Determination of sample size using power analysis and optimum bin size of histogram features”, International Journal of Data Analysis Techniques and Strategies, vol. 3, pp. 21-41, 2011.

Publisher : International Journal of Data Analysis Techniques and Strategies

Year : 2011

Decision support system using artificial immune recognition system for fault classification of centrifugal pump

Cite this Research Publication : Dr. Sakthivel N.R., Dr. Binoy B. Nair, Sugumaran, V., and Rai, R. S., “Decision support system using artificial immune recognition system for fault classification of centrifugal pump”, International Journal of Data Analysis Techniques and Strategies, vol. 3, pp. 66-84, 2011.

Publisher : International Journal of Data Analysis Techniques and Strategies

Year : 2011

A method for calculation of optimum data size and bin size of histogram features in fault diagnosis of mono-block centrifugal pump

Cite this Research Publication : Va Indira, Vasanthakumari, Rb, Dr. Sakthivel N.R., and Sugumaran, Vd, “A method for calculation of optimum data size and bin size of histogram features in fault diagnosis of mono-block centrifugal pump”, Expert Systems with Applications, vol. 38, pp. 7708-7717, 2011.

Publisher : Expert Systems with Applications

Year : 2011

Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine

Cite this Research Publication : Dr. Saimurugan M., Dr. K. I. Ramachandran, Sugumaran, V., and Dr. Sakthivel N.R., “Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine”, Expert Systems with Applications, vol. 38, pp. 3819-3826, 2011.

Publisher : Expert Systems with Applications

Year : 2011

Use of histogram features for decision tree-based fault diagnosis of monoblock centrifugal pump

Cite this Research Publication : Dr. Sakthivel N.R., Indira, V., Dr. Binoy B. Nair, and Sugumaran, V., “Use of histogram features for decision tree-based fault diagnosis of monoblock centrifugal pump”, International Journal of Granular Computing, Rough Sets and Intelligent Systems, vol. 2, pp. 23-36, 2011.

Publisher : International Journal of Granular Computing, Rough Sets and Intelligent Systems

Year : 2010

A Method for Minimum Sample Size Calculation for a Classification Problem in Fault Diagnosis of Centrifugal Pump

Cite this Research Publication : V. Indira, Vasanthakumari, R., Dr. Sakthivel N.R., and Sugumaran, V., “A Method for Minimum Sample Size Calculation for a Classification Problem in Fault Diagnosis of Centrifugal Pump”, International Journal of Statistics and Systems Research India Publications, vol. 5, pp. 183-202, 2010.

Publisher : International Journal of Statistics and Systems Research India Publications

Year : 2010

Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump

Cite this Research Publication : Dr. Sakthivel N.R., Sugumaran, V., and Dr. Binoy B. Nair, “Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump”, Mechanical Systems and Signal Processing, vol. 24, pp. 1887 - 1906, 2010.

Publisher : Mechanical Systems and Signal Processing

Year : 2010

Application of Support Vector Machine (SVM) and Proximal Support Vector Machine (PSVM) for fault classification of monoblock centrifugal pump

Cite this Research Publication : Dr. Sakthivel N.R., Sugumaran, V., and Dr. Binoy B. Nair, “Application of Support Vector Machine (SVM) and Proximal Support Vector Machine (PSVM) for fault classification of monoblock centrifugal pump”, International Journal of Data Analysis Techniques and Strategies, vol. 2, pp. 38-61, 2010.

Publisher : International Journal of Data Analysis Techniques and Strategies

Year : 2010

Vibration based Fault Diagnosis of Monoblock Centrifugal Pump using Decision Tree

Cite this Research Publication : Dr. Sakthivel N.R., Sugumaran, V., and Babudevasenapati, S., “Vibration based Fault Diagnosis of Monoblock Centrifugal Pump using Decision Tree”, Expert Systems with Applications, vol. 37, pp. 4040 - 4049, 2010.

Publisher : Expert Systems with Applications

Year : 2010

A genetic algorithm optimized decision tree-SVM based stock market trend prediction system

Cite this Research Publication : Dr. Binoy B. Nair, Mohandas, V. P., and Dr. Sakthivel N.R., “A genetic algorithm optimized decision tree-SVM based stock market trend prediction system”, International Journal on Computer Science and Engineering, vol. 2, pp. 2981–2988, 2010.

Publisher : International Journal on Computer Science and Engineering

Year : 2010

A decision tree—rough set hybrid system for stock market trend prediction

Cite this Research Publication : Dr. Binoy B. Nair, Mohandas, V. P., and Dr. Sakthivel N.R., “A decision tree—rough set hybrid system for stock market trend prediction”, International Journal of Computer Applications, vol. 6, pp. 1–6, 2010.

Publisher : International Journal of Computer Applications, International Journal of Computer Applications

Conference Paper

Year : 2020

Machine Learning Approach to Condition Monitoring of an Automotive Radiator Cooling Fan System

Cite this Research Publication : R. Meena, Nair, B. B., and Dr. Sakthivel N.R., “Machine Learning Approach to Condition Monitoring of an Automotive Radiator Cooling Fan System”, in Advances in Electrical and Computer Technologies, Singapore, 2020.

Publisher : Advances in Electrical and Computer Technologies,

Year : 2015

Machine Learning Approach to the Prediction of Surface Roughness Using Statistical Features of Vibration Signal Acquired in Turning

Cite this Research Publication : Dr. Elangovan M., Dr. Sakthivel N.R., Saravanamurugan, S., Dr. Binoy B. Nair, and Sugumaran, V., “Machine Learning Approach to the Prediction of Surface Roughness Using Statistical Features of Vibration Signal Acquired in Turning”, in Procedia Computer Science, 2015, vol. 50, pp. 282–288.

Publisher : Procedia Computer Science

Year : 2010

Application of hybrid adaptive filters for stock market prediction

Cite this Research Publication : Dr. Binoy B. Nair, Mohandas, V. P., Dr. Sakthivel N.R., Nagendran, S., Nareash, A., Nishanth, R., Ramkumar, S., and Kumar, M. D., “Application of hybrid adaptive filters for stock market prediction”, in Proceedings of 2010 International Conference on Communication and Computational Intelligence, INCOCCI-2010, Perundurai, Erode, 2010, pp. 443-447.

Publisher : Proceedings of 2010 International Conference on Communication and Computational Intelligence,

Conference Proceedings

Year : 2012

Evaluation of a Decision Support System for Fault Categorization of Centrifugal Pump Using Support Vector Machine And Histogram Features

Cite this Research Publication : Dr. Sakthivel N.R. and V., S., “Evaluation of a Decision Support System for Fault Categorization of Centrifugal Pump Using Support Vector Machine And Histogram Features”, Proceedings of the Karpagam University 4th Annual Research Congress (KUARC) . pp. 157-166, 2012.

Publisher : KUARC

Year : 2011

Application of Naïve Bayes and Decision Tree for Fault Classification of Monoblock Centrifugal Pump

Cite this Research Publication : Dr. Sakthivel N.R. and Sugumaran, V., “Application of Naïve Bayes and Decision Tree for Fault Classification of Monoblock Centrifugal Pump”, Proceedings, Intl. International Conference on Simulation, Modelling and Analysis. 2011.

Publisher : Proceedings, Intl. International Conference on Simulation

Year : 2011

Fuzzy Classification Approach to Fault Diagnosis of Monoblock Centrifugal Pump using Histogram Features

Cite this Research Publication : Dr. Sakthivel N.R. and Sugumaran, V., “Fuzzy Classification Approach to Fault Diagnosis of Monoblock Centrifugal Pump using Histogram Features”, Proceedings, Intl. International Conference on Simulation, Modelling and Analysis. 2011.

Publisher : Proceedings, Intl. International Conference on Simulation,

Year : 2011

Vibration based Fault Diagnosis of Monoblock Centrifugal pump using Decision Tree and Histogram Features

Cite this Research Publication : Dr. Sakthivel N.R. and V., S., “Vibration based Fault Diagnosis of Monoblock Centrifugal pump using Decision Tree and Histogram Features”, Proceedings of the Karpagam University 3rd Annual Research Congress (KUARC) . pp. 102-109, 2011.

Publisher : KUARC

Year : 2009

Hybrid Bayes Classifiers for Fault Detection of Centrifugal Pump based on Statistical and Histogram features

Cite this Research Publication : Dr. Sakthivel N.R. and V., S., “Hybrid Bayes Classifiers for Fault Detection of Centrifugal Pump based on Statistical and Histogram features”, Proceedings of the Karpagam University Ist Annual Research Congress (KUARC). pp. 123-130, 2009.

Publisher : Proceedings of the Karpagam University Ist Annual Research Congress (KUARC),

Year : 2002

Finite Element Analysis of Bogie Frame

Cite this Research Publication : P. Sampaul, Mohangift, M. D., Jawahar, C. P., and Dr. Sakthivel N.R., “Finite Element Analysis of Bogie Frame”, Proceedings 18th national convention of Mechanical Engineers. The IE and NIT Rourkela, pp. 331-338, 2002.

Publisher : Proceedings 18th national convention of Mechanical Engineers, The IE and NIT Rourkela,

Year : 2002

Drafting Automation using AUTOLisp

Cite this Research Publication : Dr. Sakthivel N.R., Jawahar, C. P., Maniarasan, P., and Sampaul, P., “Drafting Automation using AUTOLisp”, Proceedings 18th national convention of Mechanical Engineers. The IE and NIT Rourkela, pp. 71-78, 2002.

Publisher : Proceedings 18th national convention of Mechanical Engineers. The IE and NIT Rourkela, pp

Year : 2002

Finite Element Modelling and Analysis of Gear Box Housing

Cite this Research Publication : G. L. Samuel, Jegan, T., and Dr. Sakthivel N.R., “Finite Element Modelling and Analysis of Gear Box Housing”, Proceedings 18th national convention of Mechanical Engineers. The IE and NIT Rourkela, pp. 373-377, 2002.

Publisher : Proceedings 18th national convention of Mechanical Engineers, The IE and NIT Rourkela,

Year : 2002

Biomodelling through Reverse Engineering

Cite this Research Publication : N. Mathiarasu, Jawahar, C. P., and Dr. Sakthivel N.R., “Biomodelling through Reverse Engineering”, Proceedings 18th national convention of Mechanical Engineers. The IE and NIT Rourkela, pp. 291-296, 2002.

Publisher : Proceedings 18th national convention of Mechanical Engineers, The IE and NIT Rourkela,

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