1. Design and Analysis of Lightweight Materials for Aerospace Applications
Aim
To create lightweight higher performing materials for aeronautical applications.
Objectives
- Characterize the mechanical properties of existing lightweight materials.
- Investigate the limitations and challenges of current lightweight materials.
- Develop new lightweight materials using advanced fabrication techniques.
- Conduct comprehensive mechanical testing to evaluate the performance.
- Analyze the material’s behavior under different aerospace conditions.
- Compare the newly developed materials with traditional aerospace materials.
2. Optimization of Wind Turbine Blade Design for Improved Energy Efficiency
Aim
To optimize the efficiency and energy collection of wind turbine blade designs.
Objectives
- Analyze the aerodynamic performance of existing wind turbine blades.
- Develop numerical models for simulating wind flow and energy capture.
- Optimize blade geometry and profiles for maximum energy efficiency.
- Investigate the impact of material choices on blade performance.
- Evaluate the structural integrity and fatigue life of optimized designs.
- Assess the economic and environmental benefits of improved designs.
3. Investigation of Heat Transfer Enhancement in Micro channels for Electronics Cooling
Aim
To improve heat transfer in micro channels for effective cooling of electronics.
Objectives
- Review the fundamentals of heat transfer in micro channels.
- Perform Experiments with various cooling fluids and flow configurations.
- Measure temperature distributions and heat dissipation rates.
- Analyze the impact of channel geometry and surface enhancements.
- Optimize micro channel designs for effective electronics cooling.
- Develop guidelines for selecting micro channel cooling solutions.
4. Development of Smart Manufacturing Systems for Industry 4.0
Aim
To develop and implement use smart manufacturing solutions in preparation for Industry 4.0.
Objectives
- To research Industry 4.0’s technology and guiding principles.
- Create a framework for incorporating data analytics and IoT devices into manufacturing.
- Integrate data collecting and sensor technologies into industrial operations.
- Create systems for real-time monitoring and control.
- Evaluate the dependability and functionality of the smart manufacturing system.
- Evaluate how the system affects the effectiveness and caliber of production.
5. Design and Testing of Autonomous Robots for Warehouse Automation
Aim
In order to design and test autonomous robots for effective warehouse automation.
Objectives
- Create a robotic system that can navigate and do tasks on its own.
- Use sensor systems to detect obstacles and avoid them.
- Creating control algorithms for self-directed decision-making.
- Carry out in-depth testing in both virtual and actual warehouse settings.
- Determine whether the robot can increase warehouse productivity.
- Determine which safety and reliability measures can be used in industry.
6. Application of Artificial Intelligence in Predictive Maintenance of Industrial Machinery
Aim
To use Artificial Intelligence methods for industrial machinery predictive maintenance.
Objectives
- Conduct appropriate AI algorithm research and selection for predictive maintenance.
- Create an architecture for a predictive maintenance system.
- Gather and prepare data from commercial equipment.
- Use alerts for predictive maintenance and real-time monitoring.
- Use historical maintenance data to confirm the predictions made by the system.
- Evaluate how well the system is able to avoid unanticipated downtime.
7. Advanced Computational Fluid Dynamics (CFD) Simulations for Automotive Aerodynamics
Aim
To enhance automotive aerodynamics through the use of refined Computational Fluid Dynamics simulations.
Objectives
- Build a thorough CFD model of the airflow in an automobile.
- Analyze aerodynamic performance through the simulation of various scenarios.
- To increase the aerodynamics of the vehicle by optimizing its form, functionality, and parts.
- Examine how aerodynamic advancements affect stability and fuel economy.
- Offer suggestions for design modifications based on the findings of the simulation.
- To take into account practical production limitations when proposing design revisions.
8. Bio-inspired Design of Biomaterials for Medical Implants
Aim
Designing biomaterials for medical implants using natural systems as inspiration.
Objectives
- Research biological systems to comprehend their workings.
- Find promising biomaterial candidates for use in implantable medical devices.
- Create advancebiomaterial designs that are motivated by natural systems.
- Evaluate for biocompatibility and gauge tissue reactions.
- Assess the biomaterials’ mechanical and biological attributes.
- Evaluate the efficiency and security of newly developed biomaterials in comparison to those already in use.
9. Energy Harvesting from Vibrations for Self-Powered Sensors
Aim
To use vibratory energy to power self-sustaining sensors.
Objectives
- Look into other vibration-based energy gathering techniques.
- Create and test self-powered sensor system prototypes.
- Experiment with various sensor and energy harvesting technologies.
- Measure and calculate the energy that vibrations produce in real-world contexts.
- Enhance energy storage and sensor efficiency.
- Evaluate the dependability and upkeep needs of self-powered sensor systems.
10. Sustainable Design and Analysis of Solar Thermal Energy Systems
Aim
Designing and evaluating solar thermal energy systems with a sustainability angle.
Objectives
- Examine the effects of solar thermal technologies on the environment.
- Put sustainability at the forefront of the design of solar thermal energy systems.
- Run simulations to simulate system behavior under various circumstances.
- Make system configurations and parts as sustainable as possible.
- Examine economic viability, taking into account the upfront costs and long-term gains.
- Consider the advantages for the environment, such as lowered greenhouse gas emissions.
11. Biomechanical Analysis of Human Gait for Prosthetic Limb Development
Aim
To conduct a comprehensive biomechanical analysis of human gait to inform the design of advanced prosthetic limbs.
Objectives
- Compile and examine information on the biomechanics of the typical gait of humans.
- List the essential factors and traits that affect the design of prosthetic limbs.
- Create computer simulations of prosthetic limb functionality.
- Improve the comfort, mobility, and natural movement of prosthetic limb designs.
- Assess the optimized prosthetic limbs’ functionality and user satisfaction.
12. Enhancing Energy Efficiency in HVAC Systems through Advanced Control Strategies
Aim
To enhance the energy efficiency of Heating, Ventilation, and Air Conditioning (HVAC) systems through the implementation of advanced control strategies.
Objectives
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- Examine the setups and control strategies of the current HVAC systems.
- Create and use sophisticated HVAC system control algorithms.
- Through appropriate ventilation, filtration, and provision of thermal comfort, monitor and assess the energy usage and indoor climate conditions.
- Improve control strategies for increased occupant comfort and energy efficiency.
- Examine the HVAC systems economic and environmental advantages.
13. Finite Element Analysis of Composite Materials in Marine Engineering
Aim
Optimize the use of composite materials in marine engineering constructions by better understanding how they behave in aquatic conditions.
Objectives
- Examine the tensile strength, flexural modulus, and impact resistance of composite materials as well as their other mechanical characteristics.
- Create detailed FEA models to simulate the structural performance of composite parts like hulls, propellers, and underwater machinery.
- Examine the patterns of stress, strain, and deformation in composite materials under various maritime circumstances, such as exposure to saltwater and hydrodynamic forces.
- For particular marine applications, optimize the composite material selection, layup arrangements, and manufacturing processes by taking into account elements like weight, buoyancy, and corrosion resistance.
- Assess the composite maritime constructions’ long-term dependability and maintenance needs and suggest preventive measures.
- Offer instructions for the design and manufacture of marine engineering components utilizing composite materials to improve their performance and dependability.
14. Design and Optimization of Hydrogen Fuel Cell Systems for Transportation
Aim
To develop, enhance, and evaluate the viability of hydrogen fuel cell systems for a range of transportation applications with a focus on lowering greenhouse gas emissions.
Objectives
- Research the fundamentals of hydrogen fuel cell technology, such as the creation, storage, and conversion of hydrogen into energy for use in vehicles.
- Create thorough design standards for hydrogen fuel cell systems that are appropriate for many types of vehicles, including trucks, buses, and passenger automobiles.
- To maximize efficiency, dependability, and safety, system components such as fuel cell stacks, hydrogen storage tanks, and power electronics should be optimized.
- Why compare the possible decrease in emissions of hydrogen fuel cell vehicles to those of traditional petrol or diesel vehicles in order to assess the environmental advantages of these vehicles.
- Determine if hydrogen fuel cell technology is economically viable by taking into account manufacturing costs, infrastructure development, and operational costs.
- Examine the difficulties and needs posed by the infrastructure needed for the transportation industry’s hydrogen generation, delivery, and refueling.
15. Failure Analysis and Reliability Assessment of Mechanical Components
Aim
To conduct thorough failure analyses and reliability evaluations of crucial mechanical components across a range of industries in order to improve performance and longevity
Objectives
- Examine the underlying causes of mechanical component failures, taking into account elements including material problems, design errors, and operational circumstances.
- Create and put into practice advancetesting and analysis procedures, such as non-destructive testing methodologies, to judge the dependability and integrity of components.
- Determine the mechanical components’ sensitivity to corrosion, wear, and critical points of failure.
- Make suggestions for design tweaks or material improvements to increase component toughness and resistance to failure scenarios.
- Evaluate the financial viability of reliability improving initiatives and preventive maintenance plans in various industrial contexts, such as the automotive, aerospace, or manufacturing industries.
- Offer recommendations and industry best practices for component design, testing, and upkeep to guarantee dependable and durable performance in industrial applications.
16. Intelligent Control Systems for Autonomous Vehicles
Aim
To create intelligent control systems that improve the decision-making, safety, and autonomy of autonomous vehicles across a range of applications, such as self-driving automobiles and drones.
Objectives
- Look at advance sensor fusion, path planning, and obstacle avoidance approaches as they relate to autonomous vehicle control.
- Create and deploy intelligent control systems that give autonomous vehicles the ability to man legacy through challenging environments, make snap judgments in the moment, and adjust to changing circumstances.
- Use simulations and actual testing situations to analyze the effectiveness of intelligent control systems by looking at things like accuracy, safety, and efficiency.
- Improve the responsiveness and energy efficiency of control algorithms to improve the user experience and sustainability of autonomous cars.
- Look at fail-safe mechanisms and redundancy as safety and dependability factors to assure the safe functioning of autonomous cars.
- Make suggestions for the installation of intelligent control systems in autonomous vehicles for a range of purposes, such as urban transit and surveillance.
17. Investigation of Additive Manufacturing Techniques for Aerospace Components
Aim
To research and develop 3D printing processes for additive manufacturing in order to produce lighter, more effective, and more performance-oriented aerospace components.
Objectives
- Examine the materials and additive manufacturing techniques currently being employed in aeronautical applications.
- Look into the particular potential and problems that 3D printing in aerospace presents, such as the certification requirements, material qualities, and geometric complexity.
- Create and improve additive manufacturing techniques for producing lightweight structures, engine parts, and airframes for the aerospace industry.
- Evaluate the mechanical characteristics, dependability, and longevity of aerospace components made using additive manufacturing through extensive testing and validation.
- Examine how additive manufacturing has facilitated design advances like complex geometries, lattice architectures, and integrated systems.
- Provide guidelines for the use of additive manufacturing in the aerospace sector while taking regulatory compliance, financial viability, and performance advantages into account.
18. Design and Development of Exoskeletons for Rehabilitation and Assistance
Aim
Exoskeleton systems that aid in rehabilitation and improve the mobility and quality of life for people with physical disabilities should be designed, developed, and evaluated.
Objectives
- Examine the state of exoskeleton technology today and its uses in daily life, rehabilitation, and healthcare.
- Create and engineer exoskeleton systems that are suited to particular medical conditions, taking into account aspects like balance problems, muscular weakness, and movement restrictions.
- Create clever control algorithms that help exoskeletons adjust to users’ motions and offer the support they need.
- Conduct user tests and clinical trials to determine the efficacy and security of the created exoskeletons in enhancing users’ mobility and quality of life.
- Look at the exoskeletons ergonomic and comfort features to ensure long-term usability and user acceptability.
- Make suggestions about how to use exoskeleton technology into individualized rehabilitation programmes and healthcare settings.
19. Thermal Management of High-Performance Computing Systems
Aim
To ensure effective and dependable operation by optimizing the heat management of high-performance computing systems, such as data centers and supercomputers.
Objectives
- Examine the difficulties and thermal problems that HPC systems face, including heat dissipation, cooling techniques, and temperature regulation.
- Create innovative thermal management techniques to meet the particular requirements of HPC environments, including as liquid cooling, heat exchangers, and intelligent airflow control.
- Assess the effects of various cooling techniques on computing performance, hardware dependability, and energy efficiency.
- Look into predictive modelling and monitoring methods to foresee thermal problems and stop HPC systems from overheating.
- To improve heat distribution and dissipation, data centers and server racks should be optimized in terms of layout and design.
