Chandrasekar.K

@psncet.ac.in

Professor, Aeronautical Engineering
PSN College of Engineering and Technology

Chandrasekar.K


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https://researchid.co/chandru76

RESEARCH, TEACHING, or OTHER INTERESTS

Mechanical Engineering, Industrial and Manufacturing Engineering
10

Scopus Publications

164

Scholar Citations

5

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • Optimization of biodiesel extraction from mixing of Jatropha curcas, Ricinus communis, Mimusops elengi, Prosopis juliflora and Delonix regia oil − A systematic economic approach with novel metal complex catalyst
    J.Benny John, K. Chandrasekar, Ajith J. Kings, R. Rajesh
    Thermal Science and Engineering Progress, 2025
  • A critical review of an additive manufacturing role in Covid-19 epidemic
    Jinka Rupesh Kumar, K. Mayandi, S. Joe Patrick Gnanaraj, K. Chandrasekar, P. Sethu Ramalingam
    Materials Today Proceedings, 2022
  • Integer linear programming and genetic algorithm (GA)for the optimum placement of phasor measur ing units for smart grid
    R. Nafeena, M. Ettappan, M. Monica, K. Chandrasekar, M. Rathi, A. Abdul Munaf
    Iop Conference Series Materials Science and Engineering, 2020
    For the optimal replacement of phasor measuring units (PMUs) in the presence of conventional measurements, the integrated linear programming (ILP) and genetic algorithms are proposed. In fact, the power system remains fully measurable for the lines and measuring instruments during all conceivable single contingencies. In doing so, a process of equations entirely utilizes the capability of circuit equations related to standard measurements and PMUs, and the system topology, to attain the minimum possible amount of required PMUs.
  • Investigation on drilling parameters of jute and cotton fiber strengthened epoxy composites
    S. Joe Patrick Gnanaraj, V. Balasubramanian, A. Abdul Munaf, V. Mago Stalany, K. Chandrasekar, M. Saravana Kumar
    Materials Today Proceedings, 2020
  • Effect of 3D printing process parameters on the impact strength of onyx – Glass fiber reinforced composites
    P. Sethu Ramalingam, K. Mayandi, V. Balasubramanian, K. Chandrasekar, V. Mago Stalany, A. Abdul Munaf
    Materials Today Proceedings, 2020
  • Design and online re-tuning of power system stabilizers using phasor measurement unit
    Dr. Nafeena R.
    Journal of Advanced Research in Dynamical and Control Systems, 2020
  • Cell formation using tabu search for design of cellular manufacturing system
    V. Rajagopal, K. Chandrasekar, M. Victor Raj
    International Journal of Computer Aided Engineering and Technology, 2015
    A large number of non–traditional search algorithms are available for function optimisation. The cell formation problem is the important step in the design of a cellular manufacturing system. The objective is to identify part families and machine groups and consequently to form manufacturing cells with respect to minimising the number of exceptional elements. An efficient tabu search (TS) algorithm is proposed to solve cell formation problem because it perform considerable search before terminating to provide a good solution to the problem. In this work the implementation of tabu search for the design of cell formation problem and minimise the number of exceptional elements has been done by this method and it is compared with other existing methods.
  • GA approach to optimise material flow and makespan in an AGV-based flexible jobshop manufacturing system
    P. Sethu Ramalingam, K. Chandrasekar, M. Victor Raj
    International Journal of Computer Aided Engineering and Technology, 2015
    Flexible jobshop scheduling problem (FJSP) is an extended traditional jobshop scheduling problem, which more approximates to practical scheduling problems. This paper presents a genetic algorithm–based (GA) algorithm to solve the multi objective FJSP. Flexible jobshop manufacturing system (FJMS) is a complex network of processing, inspecting, and buffering nodes connected by system of transportation mechanisms. For an FJMS, it is desirable to be capable to increase or decrease the output with the rise and fall of demand. Such specifications show the complexity of decision making in the field of FJMSs and the need for concise and accurate modelling methods. Therefore, in this paper, an AGV–based flexible jobshop automated manufacturing system is considered to optimise the material flow and makespan. The flexibility is on the multishops of the same type and also multiple products that can be produced. An automated guided vehicle is applied for material handling. The objective is to optimise the material flow regarding the demand fluctuations and machine specifications and the makespan. An illustrative example is adopted from the literature to test the validity of the proposed algorithm.
  • A simulated annealing approach for integrating cell formation with machine layout and cell layout
    Karuppasamy Chandrasekar, Ponnusamy Venkumar
    International Journal of Robotics and Automation, 2013
  • Genetic algorithm approach for integrating cell formation with machine layout and cell layout
    K. Chandrasekar, P. Venkumar
    International Journal of Operational Research, 2013
    Cellular manufacturing system (CMS) is based on the principle of similar things should be done similarly. Cell formation (CF), within cell machine layout design and cell layout design are important steps in design of CMS. The existing models for solving CMS problems are focused mainly on CF. The design of machine layout and cell layout are considered in few research papers. The most of existing research papers have used binary data for CFs. They do not focus on production volume, operational sequences, production cost, inventory and other production data. In this research work, hierarchical genetic algorithm (HGA) approach is used to solve the CF, within cell machine layout design and cell layout design. The input data for this design of CMS is machine-part incidence matrix with operational sequence. The grouping efficiency and the grouping efficacy are used to measure the effectiveness of the CMS design. The results and consistency of the HGA are compared with earlier approaches and the results are presented. The proposed algorithm gives best results when compared to the earlier approaches.

RECENT SCHOLAR PUBLICATIONS

  • Optimization of biodiesel extraction from mixing of Jatropha curcas, Ricinus communis, Mimusops elengi, Prosopis juliflora and Delonix regia oil− A systematic economic approach …
    JB John, K Chandrasekar, AJ Kings, R Rajesh
    Thermal Science and Engineering Progress, 104106 , 2025
    2025.0
    Citations: 2
  • Analysis of Distribution Line in Link with Substation using GSM Technology
    S Ramaswamy, SJP Gnanaraj, KC Sekar, N Muthukumaran
    2023 International Conference on Sustainable Communication Networks and … , 2023
    2023.0
    Citations: 4
  • Present developments and the reach of alternative fuel: A review
    K Chandrasekar, S Sudhakar, R Rajappan, S Senthil, P Balu
    Materials Today: Proceedings 51, 74-83 , 2022
    2022.0
    Citations: 36
  • A critical review of an additive manufacturing role in Covid-19 epidemic
    JR Kumar, K Mayandi, SJP Gnanaraj, K Chandrasekar, PS Ramalingam
    Materials Today: Proceedings 68, 1521-1527 , 2022
    2022.0
    Citations: 10
  • Investigation on drilling parameters of jute and cotton fiber strengthened epoxy composites
    SJP Gnanaraj, V Balasubramanian, AA Munaf, VM Stalany, ...
    Materials Today: Proceedings 45, 7107-7112 , 2021
    2021.0
    Citations: 18
  • Effect of 3D printing process parameters on the impact strength of onyx–Glass fiber reinforced composites
    PS Ramalingam, K Mayandi, V Balasubramanian, K Chandrasekar, ...
    Materials Today: Proceedings 45, 6154-6159 , 2021
    2021.0
    Citations: 58
  • Optimization of Abrasive Water Jet Machining Parameters of Al/Tic Using Response Surface Methodology and Modified Artificial Bee Colony Algorithm
    K Kiran, KR Kumar, K Chandrasekar
    Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems … , 2020
    2020.0
    Citations: 2
  • Integer linear programming and genetic algorithm (GA) for the optimum placement of phasor measuring units for smart grid
    R Nafeena, M Ettappan, M Monica, K Chandrasekar, M Rathi, ...
    IOP Conference Series: Materials Science and Engineering 993 (1), 012070 , 2020
    2020.0
    Citations: 1
  • GA approach to optimise material flow and makespan in an AGV–based flexible jobshop manufacturing system
    PS Ramalingam, K Chandrasekar, MV Raj
    International Journal of Computer Aided Engineering and Technology 7 (1 … , 2015
    2015.0
    Citations: 5
  • Cell formation using tabu search for design of cellular manufacturing system
    V Rajagopal, K Chandrasekar, MV Raj
    International Journal of Computer Aided Engineering and Technology 7 (1), 81-91 , 2015
    2015.0
    Citations: 1
  • A simulated annealing approach for integrating cell formation with machine layout and cell layout
    K Chandrasekar, P Venkumar
    International Journal of Robotics and Automation 28 (3) , 2013
    2013.0
    Citations: 4
  • Genetic algorithm approach for integrating cell formation with machine layout and cell layout
    K Chandrasekar, P Venkumar
    International Journal of Operational Research 16 (2), 155-171 , 2013
    2013.0
    Citations: 23
  • K. Kiran
    KR Kumar, K Chandrasekar
    Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems … , 0

MOST CITED SCHOLAR PUBLICATIONS

  • Effect of 3D printing process parameters on the impact strength of onyx–Glass fiber reinforced composites
    PS Ramalingam, K Mayandi, V Balasubramanian, K Chandrasekar, ...
    Materials Today: Proceedings 45, 6154-6159 , 2021
    2021.0
    Citations: 58
  • Present developments and the reach of alternative fuel: A review
    K Chandrasekar, S Sudhakar, R Rajappan, S Senthil, P Balu
    Materials Today: Proceedings 51, 74-83 , 2022
    2022.0
    Citations: 36
  • Genetic algorithm approach for integrating cell formation with machine layout and cell layout
    K Chandrasekar, P Venkumar
    International Journal of Operational Research 16 (2), 155-171 , 2013
    2013.0
    Citations: 23
  • Investigation on drilling parameters of jute and cotton fiber strengthened epoxy composites
    SJP Gnanaraj, V Balasubramanian, AA Munaf, VM Stalany, ...
    Materials Today: Proceedings 45, 7107-7112 , 2021
    2021.0
    Citations: 18
  • A critical review of an additive manufacturing role in Covid-19 epidemic
    JR Kumar, K Mayandi, SJP Gnanaraj, K Chandrasekar, PS Ramalingam
    Materials Today: Proceedings 68, 1521-1527 , 2022
    2022.0
    Citations: 10
  • GA approach to optimise material flow and makespan in an AGV–based flexible jobshop manufacturing system
    PS Ramalingam, K Chandrasekar, MV Raj
    International Journal of Computer Aided Engineering and Technology 7 (1 … , 2015
    2015.0
    Citations: 5
  • Analysis of Distribution Line in Link with Substation using GSM Technology
    S Ramaswamy, SJP Gnanaraj, KC Sekar, N Muthukumaran
    2023 International Conference on Sustainable Communication Networks and … , 2023
    2023.0
    Citations: 4
  • A simulated annealing approach for integrating cell formation with machine layout and cell layout
    K Chandrasekar, P Venkumar
    International Journal of Robotics and Automation 28 (3) , 2013
    2013.0
    Citations: 4
  • Optimization of biodiesel extraction from mixing of Jatropha curcas, Ricinus communis, Mimusops elengi, Prosopis juliflora and Delonix regia oil− A systematic economic approach …
    JB John, K Chandrasekar, AJ Kings, R Rajesh
    Thermal Science and Engineering Progress, 104106 , 2025
    2025.0
    Citations: 2
  • Optimization of Abrasive Water Jet Machining Parameters of Al/Tic Using Response Surface Methodology and Modified Artificial Bee Colony Algorithm
    K Kiran, KR Kumar, K Chandrasekar
    Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems … , 2020
    2020.0
    Citations: 2
  • Integer linear programming and genetic algorithm (GA) for the optimum placement of phasor measuring units for smart grid
    R Nafeena, M Ettappan, M Monica, K Chandrasekar, M Rathi, ...
    IOP Conference Series: Materials Science and Engineering 993 (1), 012070 , 2020
    2020.0
    Citations: 1
  • Cell formation using tabu search for design of cellular manufacturing system
    V Rajagopal, K Chandrasekar, MV Raj
    International Journal of Computer Aided Engineering and Technology 7 (1), 81-91 , 2015
    2015.0
    Citations: 1
  • K. Kiran
    KR Kumar, K Chandrasekar
    Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems … , 0