Jagadish Faculty

@mnnit.ac.in

Associate Professor, Mechanical Engineering Department
MOTILAL NEHRU NATIONAL INSTITUTE OF TECHNOLOGY ALLAHABAD

Jagadish Faculty


               Download Compact PDF  
https://researchid.co/aumsairam

RESEARCH INTERESTS

Robotics and Robots Applications
34

Scopus Publications

Scopus Publications

  • Development of a dual-axis solar tracker for efficient sun energy harvesting
    Alok Sanyal, J C Mohanta, MD Faiyaz Ahmed
    Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, 2026
    Climate change, global warming, and rising fossil fuel pose significant challenges in present days across worldwide. To combat these issues, governments and organizations are promoting renewable energy sources, such as solar power, which converts sunlight into electricity or thermal energy. In the current scenario, static-oriented Photovoltaic (PV) panels are hampered by fluctuations in the sun's trajectory, leading to suboptimal solar energy conversion. To address these issues, this manuscript proposes a low-cost prototype of a two-axis solar tracker that integrates four optical sensor modules as feedback sensors and two direct current geared motors to maximize solar energy harvesting. Comparative analysis between a fixed-oriented PV panel and the solar tracker, using conventional on–off and artificial intelligence-based fuzzy logic control methods, verifies the two-axis solar tracker's performance. The fuzzy logic controller-based solar tracker net energy gains approximately 14.2% more power than the fixed-oriented PV panel daily and boasts an average tracking error of 0.29°, indicating its reliability.
  • Vibration-reducing modelling of a mecanum wheel based on equivalent stiffness and strength analysis
    Pankaj S Yadav, JC Mohanta, Vandana Agrawal, MD Faiyaz Ahmed
    Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, 2025
    The mecanum wheel-chair offers unparalleled manoeuverability due to its ability to move in any direction by independently rotating its wheels. However, this innovation, characterized by hub and rollers, brings along a set of challenges, including vertical vibrations induced by successive roller-ground contacts. This manuscript presents a comprehensive investigation into the dynamic features and vertical vibration characteristics of mecanum wheels. Our study focuses on understanding the impact of roller curvature on vertical vibrations. To achieve this, authors employed top-to-top and quadratic mean values of accelerations and displacements. Additionally, authors described the results of a vertical vibration simulation conducted in SolidWorks. A key element of our research involves the implementation of a spring mechanism within the mecanum wheel's centre to dampen vibrations. Through systematic experimentation and analysis, authors determined the optimal geometric arrangement for minimizing vertical vibrations. Our findings reveal a superior design approach for reducing wheel vibrations and enhancing manoeuverability. By addressing this important issue, authors contribute to the advancement of mecanum wheel technology, making it more efficient and practical for a wide range of applications. Specifically, our results demonstrate an impressive 99.98% reduction in vertical vibrations, marking a significant improvement in the mecanum wheel-chair's efficiency and enhancement in wheel efficiency.
  • Optimizing ABB MIG welding robot through polynomial trajectory planning and artificial intelligence integration
    Faiyaz Ahmed, Mihir Barman, Farooq Shaik, Jagadish Chandra Mohanta
    Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, 2025
    The optimization of the ABB MIG welding robot involves intricate trajectory planning, typically handled through mathematical approaches. However, conventional methods often face challenges due to complex mathematical equations and derivations. This study presents ANN integration as a way to circumvent these restrictions and enable the customization of trajectory planning features. The effectiveness of this method is illustrated by the utilization of a virtual six-degree-of-freedom (DOF) robot manipulator. Analyzing and selecting hyper-parameters to optimize the ANN’s performance is a part of the research. Subsequently, sample data are employed to assess the robustness of the developed ANN topology. This assessment is conducted by comparing the outcomes of the artificial neural network approach with the results obtained using conventional mathematical methods. When compared to current state-of-the-art methods, the suggested method achieves better accuracy and efficiency in analyzing the dependability of trajectories with both interval and random uncertainty. All things considered, this paper’s findings greatly aid in the evaluation and planning of manipulators dependability and safety.
  • Comparative LCA of thermal power plant with CCS and solar PV system: sustainability assessment in Indian context
    Satyajit Malode, Ravi Prakash, Jagadish Chandra Mohanta
    Environmental Science and Pollution Research, 2024
  • Sustainability assessment of rooftop solar photovoltaic systems: A case study
    Satyajit Malode, Ravi Prakash, Jagadish Chandra Mohanta
    Environmental Impact Assessment Review, 2024
    The study combined conventional life cycle assessment (LCA) with energy benefit and economic feasibility analysis for a 1 MW rooftop solar photovoltaic (PV) system. The study analyzed two solar PV system scenarios: in Case 1, the solar PV system was connected directly to the college's internal grid, while in Case 2, it was integrated with a battery storage system. The environmental impact was assessed in terms of global warming (GWp) and other impact indicators using the ReCiPe (H) midpoint and endpoint methodology. The study found a 73% increase in GWp , a 739% increase in mineral resource scarcity, and an increase in all toxicity indicators observed in Case 2, primarily due to battery utilization. Endpoint impact indicators also increased, affecting human health, ecosystems, and resources. The study also evaluated the energy benefits using energy payback time (EPBT) and energy return on investment (EROI), as well as the economic feasibility using the levelized cost of electricity (LCOE). The EPBT increased from 3.71 years in Case 1 to 6.74 years in Case 2, while the EROI decreased from 5.38 in Case 1 to 2.96 in Case 2, indicating a reduced energy feasibility with the battery storage system. Additionally, the LCOE increased from 3.17 Rs/kWh to 16.96 Rs/kWh in Case 2, primarily due to the high cost of the battery and its replacement. This study shows that converting solar power to firm power in the current scenario has a higher environmental, energy, and economic impact.
  • Inspection of power transmission line insulators with autonomous quadcopter and SSD network
    Faiyaz AHMED
    Sigma Journal of Engineering and Natural Sciences, 2024
    In the next generation of smart cities, Unmanned Aerial Vehicles (UAV) also known as drones are playing a vital role in many advanced applications such as power transmission line inspection, transportation, aerospace and surveillance etc. Due to the excessively high and wide transmission tower heights, the conventional methods of power line inspection are generally ineffective. This manuscript’s primary focus is the development of an autonomous UAV/ quadcopter that can hover over transmission towers and capture photographs and videos by flying along pre-planned routes. Quadcopters have a distinct feature that distinguishes them with the existing aerial vehicles and have a vital role in wide range of applications such as live monitoring of traffic and crowded areas, remote locations, delivery and inspection. This man-uscript also explains about the advanced sensors & components such as Global Navigation Satellite System (GNSS), optical flow sensor and Here Link etc. required for fabrication of an autonomous quadcopter for power transmission line applications. The fabricated quadcopter includes a light weight S-500 frame equipped with intelligent controller such as Pixhawk cube orange (2.1) and NVIDIA nano board for receiving and analyzing the data from the onboard sensors and camera based on pre-determined criteria. The proposed approach increases effectiveness and accuracy, has a promising future for intelligent insulator detection and inspection which is a valuable addition to power networks. The suggested deep learning technique has a detection speed of 51.8 frames/sec and a detection accuracy of up to 90.31 percent. The suggested DL algorithm has a promising future in terms of intelligent insulator inspection in power grids. Cite
  • Power Transmission Line Inspections: Methods, Challenges, Current Status and Usage of Unmanned Aerial Systems
    Faiyaz Ahmed, J. C. Mohanta, Anupam Keshari
    Journal of Intelligent and Robotic Systems Theory and Applications, 2024
    Condition monitoring of power transmission lines is an essential aspect of improving transmission efficiency and ensuring an uninterrupted power supply. Wherein, efficient inspection methods play a critical role for carrying out regular inspections with less effort & cost, minimum labour engagement and ease of execution in any geographical & environmental conditions. Earlier various methods such as manual inspection, roll-on wire robotic inspection and helicopter-based inspection are preferably utilized. In the present days, Unmanned Aerial System (UAS) based inspection techniques are gradually increasing its suitability in terms of working speed, flexibility to program for difficult circumstances, accuracy in data collection and cost minimization. This paper reports a state-of-the-art study on the inspection of power transmission line systems and various methods utilized therein, along with their merits and demerits, which are explained and compared. Furthermore, a review was also carried out for the existing visual inspection systems utilized for power line inspection. In addition to that, blockchain utilities for power transmission line inspection are discussed, which illustrates next-generation data management possibilities, automating an effective inspection and providing solutions for the current challenges. Overall, the review demonstrates a concept for synergic integration of deep learning, navigation control concepts and the utilization of advanced sensors so that UAVs with advanced computation techniques can be analyzed with different aspects of implementation.
  • Modeling and performance evaluation of mecanum wheel platform with reduced vibration and a robust path planning
    Pankaj Singh Yadav, J. C. Mohanta, Vandana Agrawal, MD. Faiyaz Ahmed
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2024
  • Energy-water nexus for thermal power generation in India: challenges and opportunities
    Ravi Prakash, Satyajit Malode, Jagadish Chandra Mohanta, Aakarsh Kumar Dubey, Jatin, Dilawar Husain
    Environment Development and Sustainability, 2024
  • Autonomous Site Inspection of Power Transmission Line Insulators with Unmanned Aerial Vehicle System
    MD. Faiyaz Ahmed, J. C. Mohanta
    Electric Power Components and Systems, 2024
    The inspection of overhead power transmission line and assets is an essential aspect to improve the overhead power transmission efficiency and to ensure an uninterrupted power supply. This article has mainly focused on the progression and fabrication of indigenous quadcopter/Unmanned Aerial Vehicle (UAV) for carrying autonomous operations in a coordinated movement along the overhead transmission towers for capturing the images and videos of transmission insulators and assets. A custom based dataset of power line insulators is created by using the quadcopter for overcoming the data scarcity and to perform Deep Learning (DL) assessment for (i) inadequate data for training and (ii) power line insulator detection and faults. The experimental results showcase that, the suggested DL architecture identifies power line insulators and associated faults, such as cracks, broken disk and missing top caps etc. With a detection speed of 56.8 frames/sec and an accuracy of 94.1%, the proposed DL technique has much promise for intelligent examination of power grid insulators. Ecological Footprint assessment of different power line inspection methods are also examined in this study.
  • Path Planning of Unmanned Aerial Systems for Visual Inspection of Power Transmission Lines and Towers
    M. D. Faiyaz Ahmed, J. C. Mohanta, Alok Sanyal, Pankaj Singh Yadav
    IETE Journal of Research, 2024
  • A life cycle assessment of coal-fired thermal power plants with post-combustion control techniques: an India scenario
    Satyajit Malode, Ravi Prakash, Jagadish Chandra Mohanta
    Environmental Science and Pollution Research, 2023
  • Inspection of Overhead Power Transmission Conductors with Autonomous Quadcopter
    MD. Faiyaz Ahmed, J. C. Mohanta
    Lecture Notes in Electrical Engineering, 2023
  • Recent Developments and Challenges in Solar Harvesting of Photovoltaic System: A Review
    Alok Sanyal, MD Faiyaz Ahmed, J. C. Mohanta
    Lecture Notes in Mechanical Engineering, 2023
  • A Comparative Water Life Cycle Assessment of Pulverized Coal-Fired Power Plants with Various Post-combustion Controls
    Satyajit Malode, J. C. Mohanta, Ravi Prakash
    Lecture Notes in Mechanical Engineering, 2023
  • Inspection and identification of transmission line insulator breakdown based on deep learning using aerial images
    MD.Faiyaz Ahmed, J.C Mohanta, Alok Sanyal
    Electric Power Systems Research, 2022
  • Recent Advances in Unmanned Aerial Vehicles: A Review
    Faiyaz Ahmed, J. C. Mohanta, Anupam Keshari, Pankaj Singh Yadav
    Arabian Journal for Science and Engineering, 2022
  • A Theoretical Review of Mobile Robot Locomotion based on Mecanum Wheels
    Pankaj Singh Yadav, Vandana Agrawal, J. C. Mohanta, MD. Faiyaz Ahmed
    Evergreen, 2022
  • A review on life cycle assessment approach on thermal power generation
    Satyajit Malode, Jagadish Chandra Mohanta, Ravi Prakash
    Materials Today Proceedings, 2022
  • A robust sliding mode control of mecanum wheel-chair for trajectory tracking
    Pankaj Singh Yadav, Vandana Agrawal, J.C. Mohanta, M.D. Faiyaz Ahmed
    Materials Today Proceedings, 2022
  • GWO-Potential Field Method for Mobile Robot Path Planning and Navigation Control
    Mohd. Nayab Zafar, J. C. Mohanta, Anupam Keshari
    Arabian Journal for Science and Engineering, 2021
  • Development of smart quadcopter for autonomous overhead power transmission line inspections
    MD. Faiyaz Ahmed, J.C. Mohanta, Mohd. Nayab Zafar
    Materials Today Proceedings, 2021
  • Effect of Temperature on Path and Trajectory Tracking of Mobile Robots in a Cluttered Environment
    Mohd. Nayab Zafar, J. C. Mohanta, Md. Faiyaz Ahmed
    Lecture Notes in Mechanical Engineering, 2021
  • Path Planning Approaches for Mobile Robot Navigation in Various Environments: A Review
    Alok Sanyal, Mohd. Nayab Zafar, J. C. Mohanta, Md. Faiyaz Ahmed
    Lecture Notes in Mechanical Engineering, 2021
  • Modeling and Analysis of Quadcopter F450 Frame
    MD. Faiyaz Ahmed, Mohd. Nayab Zafar, J. C. Mohanta
    2020 International Conference on Contemporary Computing and Applications Ic3a 2020, 2020
  • Design and Implementation of an Autonomous Robot Manipulator for Pick & Place Planning
    Mohd. Nayab Zafar, J. C. Mohanta, Alok Sanyal
    Iop Conference Series Materials Science and Engineering, 2019
  • Modeling and Analysis of Articulated Robotic Arm for Material Handling Applications
    Rishabh Jain, Mohd. Nayab Zafar, J. C. Mohanta
    Iop Conference Series Materials Science and Engineering, 2019
  • Development and Fabrication of an Autonomous Seed Sowing Robot
    Sweety Dutta, Udit Shanker, Sulekha Katiyar, Venktesh Singh, Mohd. Nayab Zafar, J. C. Mohanta
    Iop Conference Series Materials Science and Engineering, 2019
  • A knowledge based fuzzy-probabilistic roadmap method for mobile robot navigation
    J.C. Mohanta, Anupam Keshari
    Applied Soft Computing Journal, 2019
  • A Control Scheme for Navigation and Obstacle Avoidance of Autonomous Flying Agent
    J. C. Mohanta, Dayal R Parhi, S. R. Mohanty, Anupam Keshari
    Arabian Journal for Science and Engineering, 2018
  • Methodology for Path Planning and Optimization of Mobile Robots: A Review
    Mohd. Nayab Zafar, J.C. Mohanta
    Procedia Computer Science, 2018
  • Microgrid protection using Hilbert-Huang transform based-differential scheme
    Ashika Gururani, Soumya R. Mohanty, Jagadish Chandra Mohanta
    Iet Generation Transmission and Distribution, 2016
  • Path planning strategy for autonomous mobile robot navigation using Petri-GA optimisation
    Jagadish Chandra Mohanta, Dayal Ramakrushna Parhi, Saroj Kumar Patel
    Computers and Electrical Engineering, 2011
  • Navigational control of several mobile robotic agents using Petri-potential-fuzzy hybrid controller
    Dayal Ramakrushna Parhi, Jagadish Chandra Mohanta
    Applied Soft Computing Journal, 2011