Division of Mechanical Sciences: Recent submissions
Now showing items 1-20 of 1905
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Experimental Study of Isolator Shock Trains in Confined Co-flowing Supersonic Streams
Futuristic high Mach number flight systems using advanced air-breathing propulsion technologies typically have multiple flow paths with supersonic flows that merge before exiting the vehicle. The supersonic-supersonic ... -
Spatio-temporal Dynamics in Droplet Combustion Under Diverse Flow Conditions
Spray combustion of liquid fuels is one of the most ubiquitous modes of combustion used in a wide range of applications ranging from IC engines for transportation to Gas turbines in propulsion systems, owing to the high ... -
Mucin-Based Photocrosslinkable Bioinks for 3D Bioprinting and Tissue Engineering
The growing demand for treatment strategies to address organ damage caused by chronic illness, trauma, and aging, along with the demand for disease models and drug testing, has spurred significant advancements in tissue ... -
Fabrication and Evaluation of Mixed Tissue Phantom for Medical Ultrasound Research
An unmet need exists for a non-ionizing, economical, and effective intraoperative medical imaging modality to guide orthopedic surgeries. In the last few decades, ultrasound imaging has been recognized as a cost-effective ... -
Transonic Shock Buffet in an Axial Flow Fan
Transonic shock buffet, a self-sustained shock oscillation resulting from shock-boundary layer interaction, is observed across a range of operating points on the performance map of a transonic axial flow fan. Shock ... -
Modelling Cable-driven Continuum Robots and their applications
Flexible robots have been gaining traction in real-world applications over their rigid counterparts for their favourable features such as flexibility, compliance, better manoeuvrability, lightweight construction and ability ... -
Multiscale modelling and design of multifunctional composites for microwave absorption applications
Microwave absorption materials (MAMs) are crucial for both long-standing aeronautical and emerging space security applications, with carbon-based materials traditionally dominating the field due to their exceptional strength ... -
Quantification of irrigation and crop water productivity using soil moisture dynamics
Estimating water budgets in agricultural fields is key to evaluating and improving water management. However, quantifying hydrological components remains a challenge, especially estimation of irrigation quantities and ... -
Simulating Natural Human Performance in Digital Human Model
Digital human models (DHMs) represent humans in a virtual environment and are widely used across various fields. In engineering design, DHMs are employed to analyze products or workplace ergonomically during the early ... -
Energy Loss in Elastic Plastic Low Velocity Impacrt In Presence of Electric Field
Impact phenomena are prevalent in various fields, including the impact between celestial bodies, particle dampers, sports mechanics, and granular media. Impacts between bodies often exhibit inelastic behaviour due to ... -
Development of Scalable UAV Swarm-based Cooperative Search and Mitigation Approaches for Wildfire Management
Climate change has significantly exacerbated wildfire seasons, increasing their frequency, duration, and scale of destruction. Globally, wildfires destroy approximately 400 million hectares of land annually, resulting in ... -
Intersection Planning in Multilane Aerial Corridors for UAVs
Humans have always been on a quest to improve the means of transportation. The evolution will inevitably lead towards autonomy in the operations of aerial and ground vehicles. As for the Uncrewed Aerial Vehicles (UAVs), ... -
Experimental investigation into the effect of transverse acoustic excitation over swirling flow and flame
Combustion in gas turbine combustors features complex coupling of fluid dynamics, heat release, and chamber acoustics. Most combustion systems have a tendency to self-excite large amplitudes of pressure and heat release ... -
Inverse design of porous structures using deep learning methods for targeted physical properties
Porous structures have garnered significant attention in various fields of mechanical engineering due to their unique properties and wide range of applications, particularly in thermal, fluid, and structural domains. ... -
Modelling Drop Size Distribution Evolution in Dispersion Devices through Multiple Breakup Modes
Emulsions are dispersions of one immiscible liquid within another as tiny droplets. Emulsions are crucial across various industries, including food, pharmaceuticals, petroleum, and cosmetics. The emulsification process is ... -
New Approaches to Estimate Probable Maximum Precipitation Under Stationary and Non-Stationary Climate
Probable maximum precipitation (PMP) estimation has significance, as floods triggered by PMP are widely used for risk analysis of critical infrastructures (e.g., large dams and nuclear power plants), whose failure could ... -
Control of Alternating Flow Phenomena in Transonic Shock Wave Boundary Layer Interactions Over Payload Region of a Generic Launch Vehicle Model
During the transonic phase of a launch vehicle’s ascent, aerodynamic loads peak due to high freestream dynamic pressure and angle of attack. In addition to steady loads, significant pressure fluctuations arise from Shock ... -
Towards Data-constrained Data-driven Digital Twin for Design and Manufacturing
Full-text embargo up to 17/4/2026 This thesis addresses the issue of data availability in building data-driven models for digital twins in manufacturing and design. Digital twins enable the transition of computer models ... -
Design, Simulation, Microfabrication and Characterization of a 16 MHz 1D-pMUT-Array
Ultrasound transducers are being used in a variety of biomedical applications. Conventional ultrasound transducers used currently for medical imaging are quite bulky, these transducers also consume considerable amounts of ... -
Identifying and Disentangling Different Sources of Variability in Travel Choice Models
Random utility maximization (RUM)-based discrete choice models are widely used for analyzing individual choice behaviour across diverse fields, including transportation, economics, market research, healthcare, and environmental ...