Saravanan Arunachalam

About

A.Saravanan was a Ph.D. research scholar, in the Department of Production
Engineering at National Institute of Technology, Tiruchirappalli. He joined the course
during January 2017 under the guidance of Dr. J.Jerald, Associate Professor.
He got his Master of Engineering (M.E.) degree in Manufacturing Engineering
from Anna University in 2013, Chennai with 9.14 CGPA. He was awarded Bachelor
of Technology (B. Tech) degree in Mechanical Engineering from the Vellore Institute
of Technology, Vellore during 2009 and passed with a merit of a university second
rank holder. He obtained his diploma degree in Tool and Die making from Nettur
Technical Training Foundation (NTTF) from Gannavarm Training Centre (GTC)
Andhra Pradesh and completed it with Foundation second rank during 2003.
He worked as a tool room engineer in NTTF Industries (P) Ltd, Vellore from
2003 to 2006. Later, he worked as a Training officer in Edutech NTTF India Pvt. Ltd,
Vellore from 2006 to 2010. Currently, he is working as an Assistant Professor in the
Department of Mechanical Engineering at Saranathan College of Engineering,
Tiruchirappalli. The theme of his dissertation is Ontological Modeling of Geometric
Dimensions and Tolerances (GD&T) in the new product development process. Presently working as an Assistant professor in the department of Mechanical Engineering at Sri Venkateswara College of Engineering, Sriperumbudur.

Employment

• Sri Venkateswara College of Engineering Assistant Professor
  2023 - Present
• M.A.M College of Engineering and Technology Associate Professor
  2022 - 2023
• Nettur Technical Training Foundation Deputy Manager
  2020 - 2022
• National Institute of Technology Tiruchirappalli Research Scholar
  2017 - 2021

Education

• National Institute of Technology Tiruchirappalli Ph.D.
  2017 - 2020
• Anna University Chennai M.E.
  2010 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• A combinatorial optimization approach for geometric tolerance design considering various taxonomies
  Engineering Optimization 2024 DOI: 10.1080/0305215x.2024.2367601
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• Process Evaluation and Numerical Optimization in Friction Stir Welding of Dissimilar AMCs
  2022 DOI: 10.4018/978-1-7998-7864-3.ch014
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• Desirability Approach-Based Optimization of Process Parameters in Turning of Aluminum Matrix Composites
  Computational Technologies in Materials Science 2021 DOI: 10.1201/9781003121954-4
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• GENETIC ALGORITHM-ASSISTED ARTIFICIAL NEURAL NETWORK FOR THE ESTIMATION OF DRILLING PARAMETERS OF MAGNESIUM AZ91 IN VERTICAL MILLING MACHINE
  Surface Review and Letters 2020 DOI: 10.1142/s0218625x19502214
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• An explicit methodology for manufacturing cost–tolerance modeling and optimization using the neural network integrated with the genetic algorithm
  Artificial Intelligence for Engineering Design, Analysis and Manufacturing 2020 DOI: 10.1017/S0890060420000219
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• An intelligent constitutive and collaborative framework by integrating the design, inspection and testing activities using a cloud platform
  International Journal of Computer Integrated Manufacturing 2020 DOI: 10.1080/0951192x.2020.1736712
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• Ontological model-based optimal determination of geometric tolerances in an assembly using the hybridised neural network and Genetic algorithm
  Journal of Engineering Design 2019 DOI: 10.1080/09544828.2019.1605585
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• Concurrent optimal allocation of geometric and process tolerances based on the present worth of quality loss using evolutionary optimisation techniques
  Research in Engineering Design 2016 DOI: 10.1007/s00163-016-0230-7
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• Optimal geometric tolerance design framework for rigid parts with assembly function requirements using evolutionary algorithms
  The International Journal of Advanced Manufacturing Technology 2014 DOI: 10.1007/s00170-014-5908-2
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• Evolutionary optimization of geometric tolerances for compliant assemblies with contact interactions
  ARPN Journal of Engineering and Applied Sciences 2014
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