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X-ORIGINAL-URL:https://aero.iisc.ac.in
X-WR-CALDESC:Events for Department of Aerospace Engineering
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TZID:Asia/Kolkata
BEGIN:STANDARD
TZOFFSETFROM:+0530
TZOFFSETTO:+0530
TZNAME:IST
DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20241001T153000
DTEND;TZID=Asia/Kolkata:20241001T163000
DTSTAMP:20260517T094818
CREATED:20241118T095302Z
LAST-MODIFIED:20241118T095302Z
UID:10000023-1727796600-1727800200@aero.iisc.ac.in
SUMMARY:Shape control and programmable morphing: applications to biological and bio-inspired motility
DESCRIPTION:In recent years\, we have studied morphing and shape control problems in the context of motility of biological systems and locomotion of robotic systems. Our aim is to distil lessons useful for the design of innovative and bio-inspired medical and devices. The tools used for this purpose include theoretical/computational mechanics of solids and fluids\, physical experimentation and manufacturing of prototypes\, and observations at the microscope in the case of unicellular swimmers. \nSome of the insights that have emerged from this research line are reviewed in this talk\, with special emphasis on unicellular swimmers\, both flagellates and ciliates\, and on attempts to produce bio-inspired artifacts mimicking their capabilities using active materials such as liquid crystal elastomers. As examples of applications\, we discuss fabrication and modelling of LCE-based fiber arrays realizing artificial active cilia carpets [1] and light-powered LCE-based medusoid swimmers [2]\, see Figure 1 below. \n  \nSpeaker: Prof. Antonio DeSimone \nBiography: Prof. Antonio DeSimone is a professor of Structural Mechanics at SISSA in Trieste and the BioRobotics Institute at Scuola Superiore Sant’Anna in Pisa. His research interests span a wide range of topics\, including the mechanics of materials\, micromagnetics\, systems biology\, and the calculus of variations. He has held numerous visiting research appointments\, including positions at the University of Minnesota\, Université Paris XIII\, the Joliot-Curie Chair at ESPCI Paris\, the Institute for Mathematics and its Applications in Minneapolis\, and the Isaac Newton Institute for Mathematical Sciences in Cambridge. In recognition of his contributions to the mathematical sciences\, he was awarded the Keith Medal in 2006.
URL:https://aero.iisc.ac.in/event/shape-control-and-programmable-morphing-applications-to-biological-and-bio-inspired-motility/
LOCATION:Auditorium (AE 005)\, Department of Aerospace Engineering
CATEGORIES:AE Seminar
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2024/04/AE-Seminar.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20241024T110000
DTEND;TZID=Asia/Kolkata:20241024T120000
DTSTAMP:20260517T094818
CREATED:20241118T094855Z
LAST-MODIFIED:20241118T095402Z
UID:10000022-1729767600-1729771200@aero.iisc.ac.in
SUMMARY:Bandgap Formation Mechanisms in Phononic Crystals with Square Bravais Lattice
DESCRIPTION:The engineered periodic structures\, known as phononic crystals\, exploit variations in geometric design to achieve distinct impedance contrasts\, thereby controlling wave propagation characteristics. These materials can effectively attenuate acoustic waves across a broad range of frequencies. The band structure of these metamaterials\, which dictates the range of frequencies over which wave propagation is prohibited\, is heavily influenced by the geometry\, mechanical properties\, and the symmetry group of the phononic crystal. The presence of higher symmetries often correlates with the emergence of complete omnidirectional bandgaps (BGs) — frequency ranges where waves of all polarizations attenuate exponentially due to mechanisms such as Bragg scattering\, local resonances\, or their combination. \nIn this work\, we calculate the band structures of p4\, p4mm and p4gm phononic crystals for real and imaginary Bloch wavevectors to understand the mechanisms behind the BG formation. We evaluate the BG’s attenuation properties by analyzing the real eigenvalues of the imaginary Bloch wavevectors\, which provide measurable evidence of the waves’ exponential decay. Furthermore\, we conduct experimental and numerical measurements of transmission loss for both P- and S-waves via finite crystals\, confirming the superior attenuation facilitated by the coupling of the Bragg and resonance BG mechanisms. This research validates the correlation between the measured transmission loss and the theoretically predicted evanescent modes within the BGs. \nSpeaker: Prof. Pavel I. Galich \nBiography: Pavel I. Galich\, PhD\, is an Assistant Professor at the Technion – Israel Institute of Technology\, where he leads the Wave Mechanics and Metamaterials Laboratory within the Faculty of Aerospace Engineering. He earned his PhD from the Technion\, AE and his MSc and BSc in Applied Mathematics and Physics from the Moscow Institute of Physics and Technology\, both with honors. His research interests focus on acoustic metamaterials\, wave propagation in non-linear materials\, and advanced composites for aerospace applications. Pavel has published extensively in high-impact journals and has presented his work at numerous international conferences.
URL:https://aero.iisc.ac.in/event/bandgap-formation-mechanisms-in-phononic-crystals-with-square-bravais-lattice/
LOCATION:AE Auditorium
CATEGORIES:AE Seminar
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2024/04/AE-Seminar.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20241024T150000
DTEND;TZID=Asia/Kolkata:20241024T170000
DTSTAMP:20260517T094818
CREATED:20241024T043037Z
LAST-MODIFIED:20241121T062124Z
UID:10000026-1729782000-1729789200@aero.iisc.ac.in
SUMMARY:Learning stable and accurate numerical schemes for LES applications
DESCRIPTION:Deep neural network machine learning models have demonstrated success in addressing time-dependent Partial Differential Equations (PDEs\, e.g.\, Physics Informed Neural Networks or PINNs and mesh graph network models by Google DeepMind). Yet\, these network models encounter two significant challenges: \n(1) generalisation to problems beyond their training data and (2) numerical instability during long-time evolutions. \nIn this talk a new spectral framework based on a local error analysis  is presented to design and optimize numerical methods for convection problems called Local Transfer Analysis (LTA). LTA converts traditional numerical discretisation to a network of impedance blocks where parameters can be introduced to tune the local block impedance. Such a network’s impedance can be tuned using a Deep Graph Network that predicts optimal values for the parameters that lead to matched impedance. This allows locally tuned traditional numerical schemes that do not suffer from stability problems\, at the same time generalises to a widerange of problems outside of training on unstructured meshes outperforming the unoptimised scheme. Application of the framework to tune and optimise the Two-step Taylor Galerkin scheme (TTGC) used extensively in CERFACS for Combustion LES problems is presented for linear convection\, inviscid Burgers’ and Euler equations on unstructured meshes. \n\nSpeaker:Dr. Pavanakumar Mohanamuraly \nBiography: \nDr. Pavanakumar Mohanamuraly currently serves as a Senior Researcher at the ALGO-COOP Team\, CERFACS\, Toulouse\, France. He has extensive experience in CAD-based Aerodynamics Shape Optimisation\, adjoint sensitivity analysis\, Machine Learning\, and high-performance computing\, and brings a wealth of knowledge and practical experience in algorithmic differentiation applied to parallel codes. He holds a PhD in Aerospace Engineering from Queen Mary University of London and an MS in Aerospace Engineering from Pennsylvania State University. His career includes \nroles at Integrated Test Range\, DRDO\, Balasore\, Honeywell Technology Solutions\, Bangalore\, National Aerospace Laboratories\, India\, Airbus Group\, Bangalore. His work has significantly contributed to the advancement of computational methods in CERFACS\, particularly in the areas of hybrid CFD and machine learning and parallel adaptive mesh refinement and exascale load-balancing problems.
URL:https://aero.iisc.ac.in/event/learning-stable-and-accurate-numerical-schemes-for-les-applications/
LOCATION:AE Auditorium
CATEGORIES:AE Seminar
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2024/10/Reconstruction-Era-and-the-Gilded-Age-History-11th-Grade-Red-Variant-by-Slidesgo-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20241030T150000
DTEND;TZID=Asia/Kolkata:20241030T170000
DTSTAMP:20260517T094818
CREATED:20241030T093004Z
LAST-MODIFIED:20241126T093945Z
UID:10000028-1730300400-1730307600@aero.iisc.ac.in
SUMMARY:Ph.D. (Engg): Intersection Planning in Multilane Aerial Corridors for UAVs
DESCRIPTION:Uncrewed aerial vehicles (UAVs) are revolutionizing traditional aviation markets by opening the airspace to new participants and expanding multimodal applications\, increasing the UAVs’ participation in the uncontrolled low-altitude class G airspace. Therefore\, having a UAV Traffic Management (UTM) system is of great importance in designing structured traffic rules for UAV paths in the airspace (corridors) and intersections. This work addresses the problem of intersection planning in the context of UTM. We consider a multilane multi-UAV traffic management framework\, CORRIDRONE. In this setup\, an intersection volume is defined when two or more multilane corridors merge in the airspace. Unlike road intersection scenarios\, an aerial intersection has a virtual\, non-visible boundary. Hence\, resolving conflicts is challenging without a traffic light. In this thesis\, we develop algorithms to manage intersections and resolve conflicts in pre-flight and in-flight modes. In the first part of the thesis\, we consider that only one UAV is assigned per corridor. Hence\, intersection volumes are created by intersecting two lanes. Here\, we present an algorithm that exploits the relative geometry between the UAVs and schedules the speed of one UAV relative to the other for multiple intersections. Next\, we extend this methodology to pre-plan a UAV trajectory also to include UAV accelerations while scheduling. This method utilizes the time taken for the UAVs involved in the conflict to enter and exit an intersection formed owing to their corridor paths. For corridors with multiple lanes\, we define an intersection volume free of lanes\, such that the lane boundaries are valid only till the intersection boundaries. We then present a lane-changing approach to resolve conflicts by changing the initially intended path connecting two lanes. We further added security to the UAVs in conflict-laden scenarios by creating a dronecage\, which is an amalgamation of multiple geofences intersecting at multiple points (intercrosses). The UAVs travel inside these geofences to change lanes or corridors and reach their destination safely. We propose an algorithm that uses an approach vector-based strategy to navigate this dronecage. We show the effectiveness of the algorithms developed with numerical simulations and hardware tests. The motivation behind the thesis lies in providing the complete conflict resolution architecture for UTM to be used if and when needed in real-life scenarios. \nSpeaker: Samiksha Rajkumar Nagrare \nResearch Supervisor: Debasish Ghose
URL:https://aero.iisc.ac.in/event/intersection-planning-in-multilane-aerial-corridors-for-uavs/
LOCATION:STC Seminar Hall\, Dept. of Aerospace Engineering
CATEGORIES:Thesis Colloquium / Defence
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2024/11/samiksha.jpg
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