Aerospace Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, Mechanics of Materials
6
Scopus Publications
Scopus Publications
Performance of Supercritical Aerofoil using the CO-Flow Jet Sivaraman A, Saravanan V, Sujesh G, Ajith V S, Babu V, Balaji K Ssrg International Journal of Mechanical Engineering, 2025 The paper aims to evaluate the behavior of a supercritical aerofoil at cruise conditions. The simulation study was performed using the pressure-based solver with the turbulence model of Spalart Allmaras at cruise conditions level. The obtained data proved that the supercritical aerofoil using the co-flow jet method increases the lift coefficient by 43% and lowers the drag by 3% compared to the regular aerofoil. The proposed work's novelty is the co-flow jet's design over a transonic aerofoil by introducing the design behind the mid of chord, which was used to evaluate and improve the performance through the jet velocity concept of a supercritical aerofoil. In traditional methods, the injection suction is positioned close to the leading and trailing edges, respectively. The suggested method can be used in commercial, Military, and wind turbine-related applications.
Hybrid Optimization Based Multi-Objective Path Planning Framework for Unmanned Aerial Vehicles V. S. Ajith, K. G. Jolly Cybernetics and Systems, 2023 Unmanned aerial vehicles (UAVs) have been touted as a cost-effective way to follow sensitive resources across wide areas. The extensive wireless sensor networks that UAVs travel through have allowed them to acquire exceptional amounts of data. The path planning of UAV operations in low-altitude urban environments is the main emphasis of this research. Regarding two objectives, namely journey distance and safety level, a Multi-Objective Path Planning (MOPP) framework is introduced. A unique hybrid optimization approach is used to optimally find the best flight path between adjacent acquisition stations based on these MOPPs. The conceptual fusion of traditional DHOA with WOA results in the suggested hybrid model known as Deer Hunter Updated Whale Optimization (DHUWO). Ultimately, the projected collision-free optimal path framework referred to Multi-Objective Path Planning with DHUWO (MOPP-DHUWO) model is compared over the existing models in terms of safety level and distance as well.
Intelligent Task Scheduling in Multi UAVs During the Flood Relief Operation Ajith V S, Jolly KG, Vidhya K 2023 International Conference on Iot Communication and Automation Technology Icicat 2023, 2023 An increasing interest in the design of Unmanned Systems (US) in firefighting, surveillance, delivering some living supplies, mapping for disaster recovery, and search and rescue (SAR) missions. However, only a limited number of studies have been reported on US scheduling in a 3D environment. Dynamic task scheduling plays a very critical role in coping with emergent tasks. In this paper, we investigate a multi-autonomous system collaborating unmanned aerial vehicles (UAV) and unmanned surface vehicles (USV) systems to execute various tasks in SAR operations in flood-isolated areas. A search technique has to be carried out to scan the damaged region, the number of UAVs to be used for a particular SAR operation, speeding up the searching process, and find any probable survivors, sending USV to rescue the survivors. The autopilot is present in the UAVs are optimized with a controller, which monitors the reference path while maximizing flight duration, while optimization of flight paths may include other features, such as the determination of arrival time at each point, utilization of UAVs, battery capacity considerations, and battery recharging considerations. Task scheduling is a significant difficulty for researchers and practitioners involved in multi-UAV operations. Here, we propose a conceptual model of a scheduling system for UAV and USV deployments and specify dependencies between them.
Unmanned aerial systems in search and rescue applications with their path planning: a review V S Ajith, KG Jolly Journal of Physics Conference Series, 2021 In recent days, the Unmanned Aerial Systems (UAS) is an emerging technology rapidly across many warfare’s and enable new civilian domains which include real-time monitoring, security, border surveillance, wildlife surveys, providing wireless coverage, weather monitoring, smart farming, surveying, search and rescue, products delivery, farming, and civil structure inspection. Initially, there were many challenges in the design and control of UAS as it lacks an onboard pilot for navigation. Now the condition is improved with the implementation of artificial intelligence techniques in path planning and their coordination. Unmanned Aerial vehicles (UAV) in UAS technology open up new potentials in a variety of fields. This paper presents a review of recent literature, starting with the introduction about the UAS and its types, components, developments, potential applications of UAV in search and rescue and the paper completes with a summary of the different path planning methods used in UAS.
