Contact Dr Ganapathi Ammasai Sengodan
Areas of expertise
- Aerospace Structures
- Aircraft Design
- Composites
- Structures and Materials
Background
Dr. Ammasai Sengodan Ganapathi is a Lecturer in Aircraft Structural Design at Cranfield University with over 15 years of combined experience in academia, research, and industry. His expertise spans aerospace structural design, advanced composite materials, and predictive modelling.
He earned his PhD from Nanyang Technological University, Singapore, where he focused on the manufacturing and numerical modelling of thick composite structures for wind turbine blades. His current research interests include structural integrity assessment of aerospace composites, multi-physics process modelling, AI/ML-assisted structural design, digital engineering of materials, and the hygrothermal behaviour of composites. He has led or contributed to several high-impact research projects funded by UKRI, EPSRC, ATI, and Rolls-Royce, and has published widely in leading journals and conferences.
Dr. Ganapathi previously held academic roles at the University of Salford and research positions at the Rolls-Royce Composites University Technology Centre, University of Bristol. He is a Chartered Engineer (CEng), a Member of the Institute of Materials, Minerals and Mining (MIMMM), and a Fellow of the Higher Education Academy (FHEA).
He is deeply committed to teaching and mentorship, leading modules in aircraft structural design, finite element analysis, and composite mechanics. He supervises MSc and PhD students, with a focus on bridging academic research and real-world aerospace challenges.
Dr. Ganapathi actively welcomes collaboration with industry partners and is dedicated to developing the next generation of aerospace engineers through innovation-led education and research.
Research opportunities
- Light weight aero-structures design and analysis
- Composite structures under extreme environments
- Damage and fracture mechanism of composite structures
- Non-linear analysis of composite structures
- Artifical inteligence and Machine learning tools for light weight structural design and analysis
- Hydrogen storage tanks for aviation
"If you're thinking about applying for a PhD, MSc by Research or MPhil and are interested in my research, feel free to get in touch".
Publications
Articles In Journals
- Ammasai Sengodan G. (2021). Prediction of two-phase composite microstructure properties through deep learning of reduced dimensional structure-response data. Composites Part B: Engineering, 225
- Sengodan GA, Allegri G & Hallett SR. (2020). Simulation of progressive failure in laminated composites under variable environmental conditions. Materials & Design, 196
- Ganapathi AS, Joshi SC & Chen Z. (2017). Experimental and numerical investigation of process-induced deformations of glass/epoxy wind turbine blade spar cap. Journal of Composite Materials, 51(27)
- Ganapathi AS, Joshi SC & Chen Z. (2016). Flow-compacted deformations coupled with thermo-chemically induced distortions in manufacturing of thick unidirectional carbon fiber reinforced plastics composites. Journal of Composite Materials, 50(24)
- Ganapathi AS, Maheshwari M, Joshi SC, Chen Z, Asundi AK, .... (2016). In-situ measurement and numerical simulation of resin pressure during Glass/Epoxy prepreg composite manufacturing. Measurement, 94
- Ganapathi AS, Joshi SC & Chen Z. (2016). Influence of cure kinetic, rheological and thermo-mechanical behavior on micro-level curing strain of an epoxy prepreg. Journal of Thermal Analysis and Calorimetry, 124(1)
- Ganapathi AS, Joshi SC & Chen Z. (2013). Simulation of bleeder flow and curing of thick composites with pressure and temperature dependent properties. Simulation Modelling Practice and Theory, 32