Dr.V.Narasimharaj

@skcet.ac.in

Associate professor and Mechatronics Engineering
Sri Krishna College of Engineering and technology

Dr.V.Narasimharaj


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https://researchid.co/narasimharaj

RESEARCH, TEACHING, or OTHER INTERESTS

Mechanical Engineering, General Engineering
15

Scopus Publications

768

Scholar Citations

7

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • High-frequency EMI shielding and load bearing performances of PVA composite reinforced with Cissus quadrangularis fiber and ultra-porous nutmeg husk biochar
    A. Faizur Rahman, R. Soundararajan, M. Mohamed Ariffuddeen, V. Narasimharaj
    Polymer Bulletin, 2026
  • Sustainable food packaging materials: PLA composites reinforced with Parthenium hysterophorus lactones and river tamarind bark microfiber
    V. Narasimharaj, R. Soundararajan, R Vasanth, Rajesh Kumar D
    Polymer Bulletin, 2026
  • Eco-Friendly Flax Fiber Composites Reinforced with Nanofillers for Enhanced Mechanical and Acoustic Performance
    S. Balachandran, K.S. Kumar, M. Arul, G. Ravivarman, N. Venugopal, R. Girimurugan
    International Journal of Vehicle Structures and Systems, 2026
    The creation of environmentally friendly materials, such as composites made of flax fiber is crucial in the race to achieve zero net carbon emissions. Impregnating flax fiber with bio-based materials is the first step in the production process. Nanofillers made of silver (Ag), activated carbon (AC) and graphene (Gr) are mixed with epoxy resin using magnetic agitation to guarantee an uniform distribution. This strengthened composite is sandwiched between two flax fiber mat layers. In this study, the optimum nanofiller weight percentages are calculated in several test specimens through Response Surface Methodology (RSM). The combination of 18% wt. AC, 7% wt. Ag and 8% wt. Gr have the best tensile strength as 45.31 MPa. While 12% wt. AC, 5% wt. Ag and 6% wt. Gr have the best noise reduction coefficient as 0.559.
  • Enhancing the Mechanical Properties of As-Built and Annealed Polyamide and Polyamide Composites Processed through Fused Deposition Modeling
    R. Raja, K. Arun Kumar, Sabitha Jannet, V. Narasimharaj
    SAE Technical Papers, 2024
    <div class="section abstract"><div class="htmlview paragraph">This article explores the impact of As-built versus annealed Fused Deposition Modeling (FDM) on the mechanical properties of test samples fabricated from two distinct materials: Polyamide 6 (PA6) and PA6 with carbon fiber filament. Employing the FDM technique, these samples were meticulously produced, with significant process parameters maintained at optimal values. Two sets of printed specimens were prepared for examination, one composed of PA6 and the other of PA6 with carbon fiber (CF) reinforcement. The first set was subjected to mechanical testing in its As-built condition, while the second set underwent an annealing process utilizing a muffle furnace. The annealing reduces internal stresses, enhances interlayer adhesion, and promotes crystallinity. For both the sent samples exposed to comprehensive assessments to evaluate various mechanical performance attributes, including hardness, impact strength, tensile strength and flexural strength. The results of this study elucidate that PA6 with carbon fiber exhibited superior mechanical properties than PA6. In further, this study offers valuable insights into the influence of FDM post-processing techniques, such as annealing, on the mechanical behavior of printed components. In FDM Annealed PA6 with carbon fiber emerged as the combination with the most superior mechanical properties across hardness, impact strength, and tensile strength. This study underscores the significance of carbon fiber reinforcement and annealing in enhancing the mechanical performance of PA6 components, providing valuable insights for applications demanding robust mechanical properties.</div></div>
  • Enhancing the fatigue strength of stir-casted Al7075-SiC composites through heat treatment and shot peening
    P Raghuvaran, M Suresh, V Narasimharaj, A Rajesh
    Physica Scripta, 2023
    An attempt has been made in the present study to analyze the impact of shot peening on the fatigue strength of Al-SiC (8 wt%) composites. Composite samples prepared using stir casting method is machined to meet ASTM E466 standards, and a portion of them are subjected to T6 heat treatments. Shot peening is performed on various combinations of specimens, and fatigue tests are conducted and compared. The fatigue strength of Al7075 is 156.5 MPa and it increases to 165.8 MPa for heat-treated shot-peened Al-SiC composites. Design expert software is used for designing experiments in order to optimize process parameters and enhance the fatigue strength of the specimens. The fatigue strength of the specimens increased to 174 MPa when the test was repeated using optimized experimental parameters. The fatigue test results revealed that the heat-treated, cum shot-peened Al-SiC composite exhibited the highest performance compared to the other samples. Surface residual stress of the specimens is measured, and it is found that shot peening increases the compressive residual stress on the surface of the specimen. The surface roughness of the specimen increases with shot peening. Microstructural analysis is conducted on the specimens to determine the effect of shot peening on the surface of the composite specimens. The strengthening mechanisms of the composite samples are discussed using microstructural images.
  • A Deep Learning Framework for Prediction of Heart Diseases from Clinical Observations
    Daze Thomas, Mohan M, V. Narasimharaj, Yamuna S
    Proceedings of the 2023 2nd International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2023, 2023
    Among today's youth, heart disease has emerged as a major health concern. Many forms of cardiac disease can be traced back to bad habits and clinical characteristics. Many other models have been proposed by researchers to aid in the diagnosis of various conditions, however the vast majority either has poor accuracy performance or are overly complex to implement in real-time clinical settings. In addition, these models tend to function correctly for smaller class sets, but their performance degrades with an increase in class count. To facilitate answer these issues, this study suggests creating a novel, effective, and extensible strategy for disease prediction. This employs a deep learning technique, which boosts multiple sets of clinical data using a combination of StackingCV classifier-bagging and feature-boosting. Feature variance is increased by augmenting these vectors with a boosting of classifiers at the outset. AdaBoost strategy (ABA), Support-Vecto-Classifier (SVC), and Extreme-Gradient-Boosting (XGBoost) are then applied to these characteristics to help improve accuracy performance at the cost of minuscule increases in computational delays. Single illness classifier accuracy was 93.44% and multiple disease classifier accuracy was 60.5% when the model was tested using datasets from the University of California, Cleveland. When contrasted to various state-of-the-art methods and classifiers, such as a Deep-Neural-Network (DNN), Random-Forest (RF), XGBoost, &SVC, the suggested model was shown to be at least 3.9% more accurate. Thus, it is appropriate for use in live medical settings.
  • Smart Farming: Intelligent Animal Detection Framework in Agriculture using IoT Sensors
    S Priyanka, S A Suje, D Selvapandian, V Narasimharaj
    Proceedings of the 2nd International Conference on Edge Computing and Applications Icecaa 2023, 2023
    Agriculture, the study and practice of plant cultivation, is crucial to the development of a subsistence farming economy. In India, farming supports more than half of the population. The agricultural sector's expansion has been severely hampered by obstacles. Ineffective crop management and crop raiding by external sources, notably human-wildlife conflict, provide the greatest challenge to farmers. Intricately highlighted by means of integrated systems is a cumulative strategy that employs Internet-of-Things (IoT) and conventional farming practices, as well as barriers to prevent crop destruction. A device that can detect the occurrence of a little alive object using a PIR Sensor or an Ultrasonic Sensor, particularly creatures, fenced terrestrial to be cultivated, this module aims to make agriculture smart. This module also proposes smart irrigation control and real-time data analysis. The GSM Module can send this information as text messages, or the Blynk software can be used to visualize it. The suggested system includes animal identification and a laser security system to minimize noise pollution from animals. Multiple issues have been addressed to aid the farmer in fixing them all at once.
  • Minimization of energy consumption in MANET using optimized k-medoid PSO Clustering Model
    Jebakumar Immanuel D, Aby K Thomas, Prasath B, Kanchana M, Narasimharaj V, Anandhasilambarasan D
    Proceedings of the 3rd International Conference on Smart Technologies in Computing Electrical and Electronics Icstcee 2022, 2022
    The (MANET) mobile ad hoc network connect with one another across wireless networks without relying on a central hub for network operations. In a decentralised network, individual mobile nodes take on more and more responsibility for the overall architecture of the system. Given that the routing and data transmission between nodes are impacted by the network's changing topology. The nodes' role as routers in the constant routing and transmission of data bundles is made necessary by this inherent volatility. The problem is that the mobile nodes, which rely on batteries instead of a constant power source, are the biggest consumers of energy in the network because they have to constantly recharge their power. The proposed work takes into account the delinquent of energy consumption in MANET, and finds that the optimization of energy constraint completely dominates the problem space. To begin, the MANET's mobile nodes are clustered using the suggested K-medoid clustering procedure, which helps to lessen the high cost of data routing in extremely large and dense networks. Modification of discrete particle swarm optimization procedure is a metaheuristic algorithm used to bargain the best possible value for the k-medoid algorithm, which is then used to develop a low-power protocol for exchanging information. packet delivery ratio, and throughput are the metrics used to compare different protocols. The results of the simulation analysis show that using this approach reduces the time needed for the method to run and boosts the nodes' energy efficiency.
  • Abnormal flow detection using Optimized ABFlow Network in SDN based Smart Grid Application
    Prasath B, Deepa P, Kalaivani K, Wasim Raja A, Gokila S, Narasimharaj V
    Proceedings of the 3rd International Conference on Smart Technologies in Computing Electrical and Electronics Icstcee 2022, 2022
    SDN can help the power communication network function more efficiently and conform to the Smart Grid's need for centralised control. There are a variety of network attacks that might be launched against the SDN controller. A significant danger to the data integrity of smart grids is posed by malicious software, which often use encryption or tunnelling techniques to get beyond firewalls, intrusion detection systems, and other protective measures. For the safety and reliability of the Smart Grid, it is crucial that irregular flow be detected accurately. Conventional machine learning techniques, such as and the Naive Bayes classifier, were the basis of earlier efforts. Low accuracy for huge, high-dimensional network flows are a result of their simplistic, surface-level feature learning. In this study, we create a system for detecting anomalous flows, called ABFlow, using Optimized Siamese neural networks. These networks operate well when only little data is provided for training. By examining the trajectory data with several parameter measurements, the model may identify irregular traffic flows. The suggested strategy is then tested on the DDoS-SDN and InSDN datasets to determine how well it performs. The experimental findings prove that the ABFlow can effectively identify anomalous flow in the SDN-based Smart Grid, greatly outperforming existing tactics in terms of accuracy and FPR.
  • A Comparative Study on Subtractive Manufacturing and Additive Manufacturing
    K. Sathish, S. Senthil Kumar, R. Thamil Magal, V. Selvaraj, V. Narasimharaj, R. Karthikeyan, G. Sabarinathan, Mohit Tiwari, Adamu Esubalew Kassa
    Advances in Materials Science and Engineering, 2022
    In recent days, additive manufacturing (AM) plays a vital role in manufacturing a component compared to subtractive manufacturing. AM has a wide advantage in producing complex parts and revolutionizing logistics panorama worldwide. Many researchers compared this emerging manufacturing methodology with the conventional methodology and found that it helps in meeting the demand, designing highly complex components, and reducing wastage of materials, and there are a wide variety of AM processes. The process of making the components in full use of technology with several manufacturing applications to meet the above is studied along with the properties of AM, and subsequently, the advantages of AM over the subtractive methods are described. In this paper, the achievements in this manner with considerable gains are studied and are concluded as a paradigm shift to fulfil the AM potential.
  • Experimental study of mechanical properties of AA6061 and AA7075 alloy joints using friction stir welding
    Tamilselvan Amuthan, Nagaraj Nagaprasad, Ramaswamy Krishnaraj, Venugopal Narasimharaj, B. Stalin, Venkataraman Vignesh
    Materials Today Proceedings, 2021
  • A review on mechanical properties and wear behaviour of aluminium based metal matrix composites
    Samson Jerold Samuel Chelladurai, S. Senthil Kumar, Narasimharaj Venugopal, Abhra Pratip Ray, T.C. Manjunath, S. Gnanasekaran
    Materials Today Proceedings, 2020
  • Optimization of process parameters using response surface methodology: A review
    Samson Jerold Samuel Chelladurai, Murugan K., Abhra Pratip Ray, Makarand Upadhyaya, Venugopal Narasimharaj, Gnanasekaran S.
    Materials Today Proceedings, 2020
  • Effect of laser power on microstructure and tensile properties of pulsed Nd:YAG laser beam welded AISI 301 austenitic stainless steel joints
    S. Gnanasekaran, S. Senthil Kumar, Narasimharaj Venugopal, Makarand Upadhyaya, T.C. Manjunath, Samson Jerold Samuel Chelladurai, G. Padmanaban
    Materials Today Proceedings, 2020
  • Effect of orientations of an irregular part in vibratory part feeders
    M. Suresh, V. Narasimharaj, G. K. Arul Navalan, V. Chandra Bose
    International Journal of Advanced Manufacturing Technology, 2018

RECENT SCHOLAR PUBLICATIONS

  • High-frequency EMI shielding and load bearing performances of PVA composite reinforced with Cissus quadrangularis fiber and ultra-porous nutmeg husk biochar
    AF Rahman, R Soundararajan, MM Ariffuddeen, V Narasimharaj
    Polymer Bulletin 83 (5), 217 , 2026
    2026.0
    Citations: 8
  • Sustainable food packaging materials: PLA composites reinforced with Parthenium hysterophorus lactones and river tamarind bark microfiber
    V Narasimharaj, R Soundararajan, R Vasanth, R Kumar D
    Polymer Bulletin 83 (4), 206 , 2026
    2026.0
    Citations: 6
  • Eco-Friendly Flax Fiber Composites Reinforced with Nanofillers for Enhanced Mechanical and Acoustic Performance.
    S Balachandran, KS Kumar, M Arul, G Ravivarman, N Venugopal, ...
    International Journal of Vehicle Structures & Systems (IJVSS) 18 (2), 237 , 2026
    2026.0
  • Enhancing the mechanical properties of as-Built and annealed Polyamide and Polyamide composites Processed through fused deposition modeling
    R Raja, K Arun Kumar, S Jannet, V Narasimharaj
    International Conference on Trends in Automotive Parts Systems and … , 2024
    2024.0
    Citations: 1
  • Enhancing the fatigue strength of stir-casted Al7075-SiC composites through heat treatment and shot peening
    P Raghuvaran, M Suresh, V Narasimharaj, A Rajesh
    Physica Scripta 98 (10), 105915 , 2023
    2023.0
    Citations: 6
  • A Deep Learning Framework for Prediction of Heart Diseases from Clinical Observations
    D Thomas, M Mohan, V Narasimharaj, S Yamuna
    2023 Second International Conference on Augmented Intelligence and … , 2023
    2023.0
    Citations: 1
  • Smart farming: Intelligent animal detection framework in agriculture using iot sensors
    S Priyanka, SA Suje, D Selvapandian, V Narasimharaj
    2023 2nd International Conference on Edge Computing and Applications (ICECAA … , 2023
    2023.0
    Citations: 6
  • Abnormal flow detection using Optimized ABFlow Network in SDN based Smart Grid Application
    B Prasath, P Deepa, K Kalaivani, A Wasim Raja, S Gokila, ...
    2022 Third International Conference on Smart Technologies in Computing … , 2022
    2022.0
    Citations: 1
  • Minimization of energy consumption in MANET using optimized k-medoid PSO Clustering Model
    AK Thomas, B Prasath, M Kanchana, V Narasimharaj, ...
    2022 Third International Conference on Smart Technologies in Computing … , 2022
    2022.0
    Citations: 1
  • Design and Fabrication of Automated Soap Cutting Machine.
    VN Raj, S Abhinav, PB Aishwarya, A Balaganapathy, MJ Pragase
    Journal of Pharmaceutical Negative Results 13 , 2022
    2022.0
    Citations: 4
  • "A Comparative Study on Subtractive Manufacturing and Additive Manufacturing"
    K. Sathish ,S. Senthil Kumar,R. Thamil Magal,V. Selvaraj,V. Narasimharaj ,R ...
    Advances in Materials Science and Engineering , 2022
    2022.0
    Citations: 124
  • Experimental and theoretical investigations of part orientation in linear vibratory part feeders
    V Narasimharaj, M Suresh
    Anna University , 2021
    2021.0
  • Experimental study of mechanical properties of AA6061 and AA7075 alloy joints using friction stir welding
    T Amuthan, N Nagaprasad, R Krishnaraj, V Narasimharaj, B Stalin, ...
    Materials Today: Proceedings 47, 4330-4335 , 2021
    2021.0
    Citations: 24
  • Effect of laser power on microstructure and tensile properties of pulsed Nd: YAG laser beam welded AISI 301 austenitic stainless steel joints
    S Gnanasekaran, SS Kumar, N Venugopal, M Upadhyaya, TC Manjunath, ...
    Materials Today: Proceedings 37, 934-939 , 2021
    2021.0
    Citations: 31
  • Optimization of process parameters using response surface methodology: A review
    SJS Chelladurai, K Murugan, AP Ray, M Upadhyaya, V Narasimharaj, ...
    Materials Today: Proceedings 37, 1301-1304 , 2021
    2021.0
    Citations: 465
  • A review on mechanical properties and wear behaviour of aluminium based metal matrix composites
    SJS Chelladurai, SS Kumar, N Venugopal, AP Ray, TC Manjunath, ...
    Materials Today: Proceedings 37, 908-916 , 2021
    2021.0
    Citations: 76
  • Effect of orientations of an irregular part in vibratory part feeders
    M Suresh, V Narasimharaj, GK Arul Navalan, V Chandra Bose
    The International Journal of Advanced Manufacturing Technology 94 (5), 2689-2702 , 2018
    2018.0
    Citations: 14
  • Theoretical Analysis And Optimization Of Process Parameters For Part Motion Time In Vibratory Part Feeders For Mass Production Assembly Lines
    N Venugopal, S Mayilswamy

MOST CITED SCHOLAR PUBLICATIONS

  • Optimization of process parameters using response surface methodology: A review
    SJS Chelladurai, K Murugan, AP Ray, M Upadhyaya, V Narasimharaj, ...
    Materials Today: Proceedings 37, 1301-1304 , 2021
    2021.0
    Citations: 465
  • "A Comparative Study on Subtractive Manufacturing and Additive Manufacturing"
    K. Sathish ,S. Senthil Kumar,R. Thamil Magal,V. Selvaraj,V. Narasimharaj ,R ...
    Advances in Materials Science and Engineering , 2022
    2022.0
    Citations: 124
  • A review on mechanical properties and wear behaviour of aluminium based metal matrix composites
    SJS Chelladurai, SS Kumar, N Venugopal, AP Ray, TC Manjunath, ...
    Materials Today: Proceedings 37, 908-916 , 2021
    2021.0
    Citations: 76
  • Effect of laser power on microstructure and tensile properties of pulsed Nd: YAG laser beam welded AISI 301 austenitic stainless steel joints
    S Gnanasekaran, SS Kumar, N Venugopal, M Upadhyaya, TC Manjunath, ...
    Materials Today: Proceedings 37, 934-939 , 2021
    2021.0
    Citations: 31
  • Experimental study of mechanical properties of AA6061 and AA7075 alloy joints using friction stir welding
    T Amuthan, N Nagaprasad, R Krishnaraj, V Narasimharaj, B Stalin, ...
    Materials Today: Proceedings 47, 4330-4335 , 2021
    2021.0
    Citations: 24
  • Effect of orientations of an irregular part in vibratory part feeders
    M Suresh, V Narasimharaj, GK Arul Navalan, V Chandra Bose
    The International Journal of Advanced Manufacturing Technology 94 (5), 2689-2702 , 2018
    2018.0
    Citations: 14
  • High-frequency EMI shielding and load bearing performances of PVA composite reinforced with Cissus quadrangularis fiber and ultra-porous nutmeg husk biochar
    AF Rahman, R Soundararajan, MM Ariffuddeen, V Narasimharaj
    Polymer Bulletin 83 (5), 217 , 2026
    2026.0
    Citations: 8
  • Sustainable food packaging materials: PLA composites reinforced with Parthenium hysterophorus lactones and river tamarind bark microfiber
    V Narasimharaj, R Soundararajan, R Vasanth, R Kumar D
    Polymer Bulletin 83 (4), 206 , 2026
    2026.0
    Citations: 6
  • Enhancing the fatigue strength of stir-casted Al7075-SiC composites through heat treatment and shot peening
    P Raghuvaran, M Suresh, V Narasimharaj, A Rajesh
    Physica Scripta 98 (10), 105915 , 2023
    2023.0
    Citations: 6
  • Smart farming: Intelligent animal detection framework in agriculture using iot sensors
    S Priyanka, SA Suje, D Selvapandian, V Narasimharaj
    2023 2nd International Conference on Edge Computing and Applications (ICECAA … , 2023
    2023.0
    Citations: 6
  • Design and Fabrication of Automated Soap Cutting Machine.
    VN Raj, S Abhinav, PB Aishwarya, A Balaganapathy, MJ Pragase
    Journal of Pharmaceutical Negative Results 13 , 2022
    2022.0
    Citations: 4
  • Enhancing the mechanical properties of as-Built and annealed Polyamide and Polyamide composites Processed through fused deposition modeling
    R Raja, K Arun Kumar, S Jannet, V Narasimharaj
    International Conference on Trends in Automotive Parts Systems and … , 2024
    2024.0
    Citations: 1
  • A Deep Learning Framework for Prediction of Heart Diseases from Clinical Observations
    D Thomas, M Mohan, V Narasimharaj, S Yamuna
    2023 Second International Conference on Augmented Intelligence and … , 2023
    2023.0
    Citations: 1
  • Abnormal flow detection using Optimized ABFlow Network in SDN based Smart Grid Application
    B Prasath, P Deepa, K Kalaivani, A Wasim Raja, S Gokila, ...
    2022 Third International Conference on Smart Technologies in Computing … , 2022
    2022.0
    Citations: 1
  • Minimization of energy consumption in MANET using optimized k-medoid PSO Clustering Model
    AK Thomas, B Prasath, M Kanchana, V Narasimharaj, ...
    2022 Third International Conference on Smart Technologies in Computing … , 2022
    2022.0
    Citations: 1
  • Eco-Friendly Flax Fiber Composites Reinforced with Nanofillers for Enhanced Mechanical and Acoustic Performance.
    S Balachandran, KS Kumar, M Arul, G Ravivarman, N Venugopal, ...
    International Journal of Vehicle Structures & Systems (IJVSS) 18 (2), 237 , 2026
    2026.0
  • Experimental and theoretical investigations of part orientation in linear vibratory part feeders
    V Narasimharaj, M Suresh
    Anna University , 2021
    2021.0
  • Theoretical Analysis And Optimization Of Process Parameters For Part Motion Time In Vibratory Part Feeders For Mass Production Assembly Lines
    N Venugopal, S Mayilswamy