BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Department of Aerospace Engineering - ECPv6.6.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://aero.iisc.ac.in
X-WR-CALDESC:Events for Department of Aerospace Engineering
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
TZOFFSETFROM:+0530
TZOFFSETTO:+0530
TZNAME:IST
DTSTART:20250101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250716T110000
DTEND;TZID=Asia/Kolkata:20250716T130000
DTSTAMP:20260516T165115
CREATED:20250715T041029Z
LAST-MODIFIED:20250715T041029Z
UID:10000083-1752663600-1752670800@aero.iisc.ac.in
SUMMARY:Investigation of flow instabilities in high-speed impinging jets using dual-time velocity measurements
DESCRIPTION:Motivated by applications in the aerospace propulsion industry as well as other energy systems\, the fundamental study of phase-locked shear-layer instabilities in high-speed impinging jets\, has been of research interest for a long time.  The study of instabilities is usually conducted with time derivatives of velocity field. However\, time-resolved experimental data acquisition using particle image velocimetry (PIV) techniques has its challenges for high-speed flows due to the requirements of high spatial and temporal resolution. In this talk\, I will introduce an alternate approach of utilizing time-unresolved dual-time PIV measurements for investigation of the flow instabilities in supersonic impinging jets and illustrate the valuable information about the flow dynamics that can be extracted using the same. \nSpeaker : Dr. Tushar Sikroria \nBiography: \nTushar Sikroria obtained his B.Tech.-M.Tech. Dual Degree in Aerospace Engineering from IIT Kanpur\, Uttar Pradesh\, India\, in 2013. Then he worked for more than two years in John F. Welch Technology Centre\, General Electric (GE)\, Bangalore\, India. Thereafter\, he carried out research work as a Project Engineer in Propulsion Laboratory\, IIT Kanpur\, in 2016\, and later went to pursue his doctoral study from the University of Melbourne\, Australia. He was awarded PhD in Mechanical Engineering from the University of Melbourne\, in December 2021. He pursued post-doctoral research in the Turbomachinery & Propulsion Department\, von Karman Institute\, Belgium and then joined IIT Kanpur as an Assistant Professor in the Department of Mechanical Engineering in January 2024.
URL:https://aero.iisc.ac.in/event/investigation-of-flow-instabilities-in-high-speed-impinging-jets-using-dual-time-velocity-measurements/
LOCATION:STC Seminar Hall\, Dept. of Aerospace Engineering
CATEGORIES:AE Seminar
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/07/Tushar.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250718T150000
DTEND;TZID=Asia/Kolkata:20250718T170000
DTSTAMP:20260516T165115
CREATED:20250715T045641Z
LAST-MODIFIED:20250715T045641Z
UID:10000084-1752850800-1752858000@aero.iisc.ac.in
SUMMARY:Ph.D. (Engg): ON HIGH-SPEED CURVED COMPRESSION RAMP AIR INTAKES
DESCRIPTION:A scramjet\, i.e.\, a supersonic combustion ramjet\, is an air-breathing engine that enables sustained atmospheric flight in the hypersonic regime. It consists broadly of four key components: the air intake\, isolator\, combustor\, and nozzle. The air intake and the isolator collectively comprise the compression system\, which captures and conditions the freestream flow to suit the operational requirements of the combustor positioned downstream. The general set of attributes sought in a high-speed air intake is: low structural weight; low drag; low aero-thermal loads; started flow with high thermodynamic efficiency and high compression ratio; operational robustness to back-pressure fluctuations arising from the combustor; and stable engine operation over a wide flight envelope. The intake flow characteristics and performance are primarily governed by its geometric shape. High-speed air intakes with a curved compression ramp (CCR) are a class of rectangular intakes wherein the compression ramp comprises a curved surface followed by a planar surface tangential to the trailing end of the curved surface. A CCR intake compresses the flow through a combination of a curved ramp shock wave and a series of compression waves. These intake geometries can provide improvements in compression ratio\, pressure recovery\, and allow for a shorter length intake section in comparison to conventional multi-step intake geometries.\nThe present effort consists of the development of a novel analytical framework to model the CCR intake flow and estimate the intake performance parameters at design and off-design operating conditions\, and wind tunnel experiments with a model CCR air intake at Mach 6 to obtain a detailed understanding of the flow dynamics. The analytical framework builds on the principles of mass conservation and the compressible flow theory to model the inviscid flow structure in the intake without any empiricism. A modified Kantrowitz criterion is proposed to examine the ability of a given fixed-geometry CCR intake to spontaneously self-start at the design Mach number. The framework provides a simple\, fast\, and low-cost tool to develop an effective first-cut design of a self-starting hypersonic CCR air intake for any specified set of operating conditions and performance parameters of interest\, such as the startability\, compression efficiency\, and compression ratio. Inviscid flow numerical experiments of intake starting were carried out to preliminarily verify the starting characteristics predicted by the analytical model.\nThe analytical framework was then employed to identify a suitable geometric design point for the experimental CCR air intake model. A self-starting intake test model was designed following the strong shock design principle\, and built for experimentation in the Roddam Narasimha Hypersonic Wind Tunnel at Mach 6 freestream flow conditions. Time-resolved pressure measurements and high-speed schlieren flow visualization were conducted to understand in detail the flow features internal and external to the intake model\, including the dynamics of shock-shock and shock-boundary layer interactions at the cowl and inside the isolator. Performance assessment at design operating conditions involved evaluating the intake’s ability to spontaneously self-start\, in addition to examining pressure recovery and compression ratio of the started intake. At off-design operating conditions\, the intake dynamics were studied by experimentally varying two parameters: intake back-pressure and angle-of-attack (𝛼). In order to mimic combustor-induced isolator back-pressure variations\, a sliding plate was introduced at the isolator exit; the motion of the sliding plate varies the isolator exit area (blockage) and thereby changes the back-pressure. Experimental results showed that the intake auto-reverts to the started state on realizing suitable pressure values at the isolator exit. Coherent flow oscillations with certain characteristic frequencies were observed in the isolator section during the intermediate state of operation (between started and unstarted states). The angle-of-attack (AoA) studies\, in the 𝛼 range of -70 to 20.70\, show that the relatively gradual distribution of adverse pressure along the compression ramp mitigates the risk of large-scale boundary layer separation\, even at very large AoAs. The model intake was found to satisfy shock-on-lip condition and operate in the started state between 𝛼 = 00 and 𝛼 = 100\, and supersonic flow was sustained in the isolator section up to 𝛼 = 20.70. Overall\, the experimental results were found to validate predictions made by the analytical model. The experiments also allowed for a careful examination of flow during various stages of intake operation\, including intake unstart and restart\, and quantification of operational margins (in terms of pressure) for the model intake. In addition to aiding performance assessment\, these results can also form the basis for the design of a practical early-warning system for preventing engine unstart.\nIn summary\, this work offers a clear experimental demonstration of the advantages offered by CCR air intakes\, and an analytical framework that serves as a good starting point for a design exercise. In practical terms\, this work exhibits the promise held by CCR air intake in providing a wide flight envelope for an air-breathing hypersonic flight vehicle. \nSpeaker : Sushmitha Janakiram \nResearch Supervisor : Duvvuri Subrahmanyam
URL:https://aero.iisc.ac.in/event/ph-d-engg-on-high-speed-curved-compression-ramp-air-intakes/
LOCATION:STC Seminar Hall\, Dept. of Aerospace Engineering
CATEGORIES:Thesis Colloquium / Defence
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/07/Sushmitha-.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250721T090000
DTEND;TZID=Asia/Kolkata:20250725T170000
DTSTAMP:20260516T165115
CREATED:20250401T052629Z
LAST-MODIFIED:20250401T052629Z
UID:10000066-1753088400-1753462800@aero.iisc.ac.in
SUMMARY:CISM-IISc Workshop
DESCRIPTION:CISM-IISc Workshop \non \nEmerging Topics in Architectured & Multiscale Materials\, Soft Robotics\,\nand Data-Driven Model Discovery\nDates: July 21–25\, 2025 \nLocation: Aerospace Engineering Auditorium\, Indian Institute of Science\, Bangalore \nAbout the workshop\n\nThe International Centre for Mechanical Sciences (CISM)\, Italy\, and the Indian Institute of Science (IISc)\, Bangalore\, are delighted to announce their first-ever collaboration with the launch of a Joint Advanced Workshop\, marking the beginning of what is envisioned to be an annual series of events. The inaugural workshop\, titled “Emerging Topics in Architectured & Multiscale Materials\, Soft Robotics\, and Data-Driven Model Discovery\,” will be held at IISc. This pioneering event will convene leading researchers\, graduate students\, and professionals from across the globe to explore the latest advancements in the topic. Featuring expert-led sessions\, interactive discussions\, and networking opportunities\, the workshop is designed to foster innovation\, collaboration\, and knowledge exchange\, laying a robust foundation for future editions. We invite you to join us in this exciting partnership as we collectively shape the future of science and engineering. \nFeatured Discussions: \n\nStatic and Dynamic Properties of Architectured Materials\nMultiscale Modeling Through Magnetic Materials\nSlender Structures and Their Applications in Soft Robotics\nData-Driven Material Modeling\n\nLecturers: \n\nAntonio De Simone (The BioRobotics Institute\, Scuola Superiore Sant’Anna\, Italy and Structural Mechanics\, SISSA)\nLaura De Lorenzis (Department of Mechanical and Process Engineering\, ETH Zürich\, Switzerland)\nDiego Misseroni (Department of Civil\, Environmental\, and Mechanical Engineering\, University of Trento\, Italy)\nAkshay Joshi (Department of Mechanical Engineering\, Indian Institute of Science\, Bangalore\, India)\nRajesh Chaunsali (Department of Aerospace Engineering\, Indian Institute of Science\, Bangalore\, India)\nVivekanand Dabade (Department of Aerospace Engineering\, Indian Institute of Science\, Bangalore\, India)
URL:https://aero.iisc.ac.in/event/cism-iisc-workshop/
LOCATION:AE Auditorium
CATEGORIES:Workshops / Conferences
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/03/CISM-IISc.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250723T110000
DTEND;TZID=Asia/Kolkata:20250723T130000
DTSTAMP:20260516T165115
CREATED:20250723T033046Z
LAST-MODIFIED:20250824T142259Z
UID:10000085-1753268400-1753275600@aero.iisc.ac.in
SUMMARY:Ph.D. (Engg): Development of Approaches for Optimal Shared Utilization of Spatially Distributed Resources Under Sparse Connectivity in Energy Internet
DESCRIPTION:The global shift towards sustainable power generation has led to a significant rise in distributed energy resources (DERs)\, particularly from renewable sources. These localized generation systems\, when combined with energy storage\, form microgrids—self-contained units capable of managing generation and consumption. While energy storage enables time-shifted usage of intermittent renewable power\, limitations in storage capacity and dynamic load variations still result in curtailment of generated energy. Peer-to-Peer (P2P) power trading among geographically adjacent prosumers offers a more energy-efficient and cost-effective alternative to grid feed-in. P2P trading enhances local energy utilization\, optimizes resource use\, and improves resilience in interconnected communities of microgrids. However\, achieving full connectivity among all peers is infrastructure-intensive\, while relying on sparse connectivity with indirect power exchange through intermediaries—facilitated via an Energy Internet (EI)—presents a scalable and feasible alternative. Within this context\, the challenge becomes the optimal utilization of spatially distributed generation under connectivity constraints.\nThis thesis addresses this challenge by modelling realistic microgrid behaviour using multiple real-world electrical load datasets. Initially\, internal power scheduling within a grid connected microgrid equipped with solar generation and storage is formulated as a mixed integer nonlinear optimization problem\, later relaxed to a mixed-integer linear formulation to reduce computational complexity. Predictive scheduling is employed to enable time-shifted energy usage. The resulting surplus and deficit data form the basis for simulating P2P power exchange within a connected community. To evaluate trading under constrained infrastructure\, the thesis introduces the Connectivity and Preference-constrained Hop-regulated P2P Trading (CPHPT) approach. CPHPT models P2P trading as a linear optimization problem that schedules energy exchange along shortest paths while respecting capacity and predefined hop limits. The internal microgrid scheduling and inter-microgrid trading are coordinated using a distributed control architecture\, enhancing scalability and preserving data privacy. Graph theory is leveraged to avoid explicit route computation during hop-constrained scheduling. Theoretical analysis demonstrates that while full connectivity maximizes P2P power transfer\, increasing the allowable hop count in sparsely connected communities enables near-optimal performance\, albeit with higher routing complexity.\nBuilding on this\, the Optimal Multi-Path Power Routing (OMPR) algorithm is developed. OMPR uses graph-theoretic principles to determine the connectivity structure and identifies all feasible routes between peers deterministically. The power scheduling among the routes is formulated and solved as both a linear and nonlinear multi-path power scheduling optimization problem. The OMPR approach divides each multi-hop P2P exchange into multiple individual hop exchanges and solves each step-by-step. While routing multiple concurrent P2P exchanges\, the order in which each P2P exchange is routed affects the optimal solution\, as each route increases the power flow routing constraints. To overcome this limitation\, a Hop Optimized Multi-Exchange Routing and Scheduling (HOMERS) algorithm that solves all concurrent multi-hop P2P exchanges simultaneously to obtain the optimal routing paths has been developed. HOMERS formulates the routing and scheduling of all concurrent P2P exchanges into a single-step mixed-integer nonlinear programming optimization problem. This approach efficiently identifies all feasible routes and schedules each power exchange\, ensuring conflict-free power flow from the source to the destination in the predetermined number of hops.\nRecognizing the limitations of assuming uniform node distribution and connectivity in the CPHPT and random connectivity for OMPR\, and HOMERS models—the thesis proposes a more realistic framework named as a Spatial and Renewable resource Distribution Informed Network for Energy exchange (SRDINE). SRDINE accounts for non-homogeneous node spacing and variable power generation capabilities across the community. It identifies optimal connectivity topologies based on geographic and resource distribution\, yielding improved connectivity efficiency. The resulting community specific connectivity model from SRDINE is shown to have better connectivity utilization and has improved efficiency compared to the ideal full connectivity. Through the development of CPHPT\, OMPR\, HOMERS\, and STRIDE\, this thesis makes substantial contributions to the field of distributed energy systems and P2P power trading. The integration of predictive scheduling\, hop-constrained routing\, and spatial-connectivity modelling offers a comprehensive and scalable framework for the future deployment of Energy Internet architectures. The research establishes a practical and theoretically grounded foundation for resilient\, intelligent\, and energy-efficient microgrid communities.\nSpeaker :  Neethu M \nResearch Supervisor : Prof Suresh Sundaram
URL:https://aero.iisc.ac.in/event/ph-d-engg-development-of-approaches-for-optimal-shared-utilization-of-spatially-distributed-resources-under-sparse-connectivity-in-energy-internet/
LOCATION:STC Seminar Hall\, Dept. of Aerospace Engineering
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/07/Neethu-M.jpg
END:VEVENT
END:VCALENDAR