Nelson Raja, P.

@fmcet.ac.in

PRINCIPAL
Fatima Michael College of Engineering and Tech , Madurai, Tamil Nadu

Nelson Raja, P.


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https://researchid.co/pnelsonraja

RESEARCH INTERESTS

Mechanical Engineering
4

Scopus Publications

296

Scholar Citations

5

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Optimization of Crashworthiness Parameters of Thin-Walled Conoidal Structures
    K. Vinayagar, P. Ganeshan, P. Nelson Raja, M. S. Zakir Hussain, P. Vengala Kumar, P. Ramshankar, V. Mohanavel, N. Mathankumar, K. Raja, Tesfaye Tefera Bezabih
    Advances in Materials Science and Engineering, 2022
    This paper aims to identify the optimum level of factors or parameters that affect the energy absorption of conoidal structures by grey relational examination. To optimize crashworthiness parameters of conical structures, the L9 orthogonal array has been adopted to design the experiments. The tailor-made thin-walled conical structures were fabricated by three most important factors, such as base diameter, height, and thickness, as design variables, and they were subjected to axial compression in a quasi-static method. The important responses of crashworthiness indicators such as the mean crushing force and specific energy absorption (SEA) were calculated with the help of a load-displacement curve. Experimental results showed that the crushing behaviours of conical structures were fairly significant. Grey relational analysis (GRA) and analysis of variance are used toobtain the optimal levels of parameters. From the results, the optimum levels of parameters are found to be a base diameter of 180 mm, a height of 120 mm, and a thickness of 1.5 mm.
  • Modified Krill Herd Swarm Optimization (MKHSO) Based Optimal Neural Network Model for Analysis Multi-Performance Parameters in Manufacturing System
    R. Prasanna Lakshmi, P. Nelson Raja
    Journal of Advanced Manufacturing Systems, 2018
    Develop a multi-target exhibit by considering the workstation reliability for preventive maintenance perspective, the general availability of the framework for production purposes, and total operational expenses for both preventive support and production arranging decisions. Despite that, the greater parts of the reviews in upkeep optimization do not consider the creation necessities experienced eventually. In this paper, hybrid inspired optimization model for the performance analysis in the manufacturing industry is utilized. This forecast investigation neural Network considered for weight streamlining procedure alongside parameters, for example, Total Operational Cost (TOC), availability and reliability of assembling framework. Weight examination krill and swarm intelligence are used to limit Mean Square Error (MSE) for all parameters. All the perfect outcomes show the way that the refined slip-up qualities between the output of the trial values and the foreseen qualities are solidly proportionate to zero in the arranged framework. From the results, the proposed Modified Krill herd Swarm Optimization (MKHSO) based perfect neural framework exhibits a precision of 98.23%, which diverges from the existing methodology.
  • Multi performance parameters analysis in a manufacturing system using fuzzy logic and optimal neural network model
    R. Prasanna Lakshmi, P. Nelson Raja
    International Journal of Business Intelligence and Data Mining, 2018
    Support operations enhance machine conditions; additionally involve potential creation time, conceivably postponing the client orders. The target of this paper is to decide execution parameters in every work stations with foresee the cost, dependability and accessibility of the business. This estimate examination considers two sorts of various methodologies, for example, FLP ideal neural system model. At first utilising FLP to foresee the exhibitions parameters and expanding the exactness of examination by means of ANN with motivated enhancement procedure to upgrade the weights in structure. All the ideal results exhibit the way that the accomplished mistake values between the yield of the trial values and the anticipated qualities are firmly equivalent to zero in the planned system. From the outcomes the proposed KHO-based ideal neural system demonstrates the exactness is 98.23% it is contrasted with the Pareto improvement model.
  • Overall line effectiveness - A performance evaluation index of a manufacturing system
    P. Nelson Raja, S.M. Kannan, V. Jeyabalan
    International Journal of Productivity and Quality Management, 2010
    Competition is worldwide and markets are fast becoming price sensitive. These challenges are forcing companies to implement various productivity improvement efforts to meet the needs of ever changing market demand. The total productive maintenance (TPM) has provided quantitative metric overall equipment effectiveness (OEE) for measuring the productivity of individual production equipment. In future, an extremely important objective is to improve the performance of the whole process or line instead of concentrating only on a single machine. The traditional metrics like throughput and utilisation rate measures, only the part of the performance of manufacturing equipment. They are not helpful in identifying the problems underlying improvements needed to increase productivity. In this paper, an attempt is made to use overall line effectiveness (OLE) as an index of performance evaluation in the production line of a manufacturing system. A new approach is proposed to assess the quality rate of the manufacturing system using principal component analysis (PCA). A detailed methodology for determining the overall line availability, overall line performance and overall line quality is presented. A case study is carried out and the results are discussed.

RECENT SCHOLAR PUBLICATIONS

  • Evaluation of cashew apple RTS beverages blend with mango and papaya for its physicochemical properties and storage life
    S Kannan, A Noorjehan, A Baskaran, N Raja
    PLANT SCIENCE , 2024
    2024.0
    Citations: 1
  • Optimizing the Parameters of Epoxy Composites Reinforced with Bismarck Palm Fibre and Cashew Friction Dust Particles
    N Raja, S Raju
    Indian Journal of Science and Technology 16 (42), 3829-3837 , 2023
    2023.0
  • Optimizing the tensile strength of bismarck palm fibre and cashew friction dust particle reinforced epoxy composites
    N Raja, S Raju
    Materials Today: Proceedings , 2023
    2023.0
    Citations: 1
  • Extraction and characterization of Bismarck palm fibres
    N Raja, S Raju
    Indian J Sci Technol 15 (47), 2680-2689 , 2022
    2022.0
    Citations: 3
  • Analysis of Mechanical Properties in Synthetic Fibre Based on Honeycomb Core Composite material
    Pandi R, Nelson Raja P, Vinayagar K, Kathiravan M
    International Advanced Research Journal in Science, Engineering and … , 2022
    2022.0
  • Experimental Analysis of Mechanical Properties on Hybrid Composite Materials reinforced with Sawdust and Husk
    GH Prabakaran M, Nelson Raja P, Vinayagar K
    International Advanced Research Journal in Science, Engineering and … , 2022
    2022.0
  • Research Article Optimization of Crashworthiness Parameters of Thin-Walled Conoidal Structures
    K Vinayagar, P Ganeshan, PN Raja, MSZ Hussain, PV Kumar, ...
    2022.0
  • Optimization of Crashworthiness Parameters of Thin‐Walled Conoidal Structures
    K Vinayagar, P Ganeshan, PN Raja, MS Zakir Hussain, PV Kumar, ...
    Advances in Materials Science and Engineering 2022 (1), 4475605 , 2022
    2022.0
    Citations: 13
  • Implementation of OEE in Process Based Conditional Maintenance (PBCM)
    R.Prasanna Lakshmi , P.Nelson Raja, H.Ganesh
    International Journal of Research in Engineering and Science (IJRES) 9 (10 … , 2021
    2021.0
  • Modified Krill Herd Swarm Optimization (MKHSO) Based Optimal Neural Network Model for Analysis Multi-Performance Parameters in Manufacturing System
    RP Lakshmi, PN Raja
    Journal of Advanced Manufacturing Systems 17 (02), 197-212 , 2018
    2018.0
  • Multi performance parameters analysis in a manufacturing system using fuzzy logic and optimal neural network model
    RP Lakshmi, PN Raja
    International Journal of Business Intelligence and Data Mining 13 (4), 406-424 , 2018
    2018.0
    Citations: 1
  • An experimental investigation on a solar still with an integrated flat plate collector
    T Rajaseenivasan, PN Raja, K Srithar
    Desalination 347, 131-137 , 2014
    2014.0
    Citations: 201
  • Overall line effectiveness–a performance evaluation index of a manufacturing system
    P Nelson Raja, SM Kannan, V Jeyabalan
    International Journal of Productivity and Quality Management 5 (1), 38-59 , 2010
    2010.0
    Citations: 36
  • Overall process effectiveness (OPE) model for the tyre manufacturing industry
    NP Raja, SM Kannan
    Manufacturing Engineering 3 (10) , 2008
    2008.0
    Citations: 8
  • Evolutionary programming to improve yield and overall equipment effectiveness of casting industry
    PN Raja, SM Kannan
    Journal of engineering and applied sciences 2 (12), 1735-1742 , 2007
    2007.0
    Citations: 32
  • Implementation of OEE in Process Based Conditional Maintanence (PBCM)
    RP Lakshmi, PN Raja, H Ganesh, P Marimuthu, SB Nirmala, ...

MOST CITED SCHOLAR PUBLICATIONS

  • An experimental investigation on a solar still with an integrated flat plate collector
    T Rajaseenivasan, PN Raja, K Srithar
    Desalination 347, 131-137 , 2014
    2014.0
    Citations: 201
  • Overall line effectiveness–a performance evaluation index of a manufacturing system
    P Nelson Raja, SM Kannan, V Jeyabalan
    International Journal of Productivity and Quality Management 5 (1), 38-59 , 2010
    2010.0
    Citations: 36
  • Evolutionary programming to improve yield and overall equipment effectiveness of casting industry
    PN Raja, SM Kannan
    Journal of engineering and applied sciences 2 (12), 1735-1742 , 2007
    2007.0
    Citations: 32
  • Optimization of Crashworthiness Parameters of Thin‐Walled Conoidal Structures
    K Vinayagar, P Ganeshan, PN Raja, MS Zakir Hussain, PV Kumar, ...
    Advances in Materials Science and Engineering 2022 (1), 4475605 , 2022
    2022.0
    Citations: 13
  • Overall process effectiveness (OPE) model for the tyre manufacturing industry
    NP Raja, SM Kannan
    Manufacturing Engineering 3 (10) , 2008
    2008.0
    Citations: 8
  • Extraction and characterization of Bismarck palm fibres
    N Raja, S Raju
    Indian J Sci Technol 15 (47), 2680-2689 , 2022
    2022.0
    Citations: 3
  • Evaluation of cashew apple RTS beverages blend with mango and papaya for its physicochemical properties and storage life
    S Kannan, A Noorjehan, A Baskaran, N Raja
    PLANT SCIENCE , 2024
    2024.0
    Citations: 1
  • Optimizing the tensile strength of bismarck palm fibre and cashew friction dust particle reinforced epoxy composites
    N Raja, S Raju
    Materials Today: Proceedings , 2023
    2023.0
    Citations: 1
  • Multi performance parameters analysis in a manufacturing system using fuzzy logic and optimal neural network model
    RP Lakshmi, PN Raja
    International Journal of Business Intelligence and Data Mining 13 (4), 406-424 , 2018
    2018.0
    Citations: 1
  • Optimizing the Parameters of Epoxy Composites Reinforced with Bismarck Palm Fibre and Cashew Friction Dust Particles
    N Raja, S Raju
    Indian Journal of Science and Technology 16 (42), 3829-3837 , 2023
    2023.0
  • Analysis of Mechanical Properties in Synthetic Fibre Based on Honeycomb Core Composite material
    Pandi R, Nelson Raja P, Vinayagar K, Kathiravan M
    International Advanced Research Journal in Science, Engineering and … , 2022
    2022.0
  • Experimental Analysis of Mechanical Properties on Hybrid Composite Materials reinforced with Sawdust and Husk
    GH Prabakaran M, Nelson Raja P, Vinayagar K
    International Advanced Research Journal in Science, Engineering and … , 2022
    2022.0
  • Research Article Optimization of Crashworthiness Parameters of Thin-Walled Conoidal Structures
    K Vinayagar, P Ganeshan, PN Raja, MSZ Hussain, PV Kumar, ...
    2022.0
  • Implementation of OEE in Process Based Conditional Maintenance (PBCM)
    R.Prasanna Lakshmi , P.Nelson Raja, H.Ganesh
    International Journal of Research in Engineering and Science (IJRES) 9 (10 … , 2021
    2021.0
  • Modified Krill Herd Swarm Optimization (MKHSO) Based Optimal Neural Network Model for Analysis Multi-Performance Parameters in Manufacturing System
    RP Lakshmi, PN Raja
    Journal of Advanced Manufacturing Systems 17 (02), 197-212 , 2018
    2018.0
  • Implementation of OEE in Process Based Conditional Maintanence (PBCM)
    RP Lakshmi, PN Raja, H Ganesh, P Marimuthu, SB Nirmala, ...