Contact Dr Pavan Addepalli
- Tel: +44 (0) 1234 758346
- Email: p.n.addepalli@cranfield.ac.uk
- ORCID
- Google Scholar
- ResearchGate
Areas of expertise
- Composites
- Instrumentation, Sensors and Measurement Science
- Structures and Materials
- Through-life Engineering Services
Background
Before joining Cranfield in 2013, Pavan was at the TWI NDT Validation Centre Wales, working on the non-destructive evaluation of metals and composite materials. He was the recipient of the Prince of Wales Innovation Scholarship awarded by the University of Wales in 2010 to take up doctoral research in using Thermography to characterise defects and damage occurring in advanced composite materials. He holds a PhD from the University of Wales Trinity St David, an MPhil in Material Technology from Swansea University, UK and a BEng in Mechanical Engineering from Anna University, India. He is a Chartered Engineer (CEng) and a full professional member of both the Institution of Mechanical Engineers (MIMechE) and the Institution of Engineering and Technology (MIET).
Research opportunities
Dr Addepalli's research focus is in the area of inspection and maintenance through fundamental research and its translation into industry. His interests extend into digitalisation of maintenance information and creating digital technology solutions encompassing aspects of Industry 5.0 into asset management. With automation (industrial automation to data automation) and digital transformation projects on the horizon, Pavan is interested in architecting solutions that suit both the technology and the business requirements, in other words, providing data-driven solutions through advanced artificial intelligence modelling evidenced through his list of publications.
The following are some direct research interests;
Material degradation assessment (inspection, qualification and categorisation)
Industrial non-destructive testing (Thermography, Ultrasound, X-radiography computed tomography, 3-d inspection)
Inspection data post-processing (artificial intelligence and machine learning approaches for defect characterisation)
Digital data management (data structures, data classification, data mining, knowledge extraction, decision systems, ontology engineering)
Cognitive digital twin creation for large asset inspection and maintenance
Current activities
Pavan Addepalli is a Lecturer in Degradation Assessment based with the Centre for Digital Engineering and Manufacturing, Manufacturing Theme at Cranfield University.
Pavan is currently working on an National Infrastructure funding looking at developing cutting-edge inspection solutions for gas pipelines. Previously, he worked on an Innovate UK project seeking to create a digital twin capable of providing maintenance decisions with specific focus on text and image data mining using machine learning. He was the Co-investigator for the Lloyd's Register project that looked at creating an inspection system capable of identifying counterfeit electronic components. Additionally, Pavan supported the EPSRC awarded Platform Grant investigating material behaviour of advanced materials and composites looking at the influence of multiple degradation mechanisms. He continues to expand his research in the area of Material Degradation Assessment, Non-destructive testing methods, especially Thermography, Data post-processing using advanced knowledge extraction algorithms, Machine learning for degradation assessment, Semantic based (Ontology-based), digital solution architecting leading to enterprise level digital architecture development.
Pavan's research interest include:
Thermography - Passive & Active
Non-destructive testing (NDT): 3D X-CT, 3D Imaging, Ultrasonic testing and Dye Penetrant Testing
Mechanical testing & material characterisation (including AI & ML approaches)
Composites - near and sub-surface defect and damage assessment
Counterfeit electronic component detection
Text & Image mining, knowledge extraction (Digital data management)
Through-life Engineering Services
Digital architecture to support servitization - digital twins, ontology engineering
Pavan leads The Digital Business and Enterprise Systems module on the MSc in Digital and Technology Solutions delivered through part-time and apprenticeship routes. Additionally, he lectures on topics on Degradation Assessment, Non-Destructive Testing, Risk and Reliability Assessment, Advanced Composite Materials and their Structural Integrity supporting MSc programme on Aerospace Manufacturing, Advanced Materials, Maintenance Engineering & Asset Management and Through-life Systems Sustainment.
Clients
National Gas Transmission
Babcock International
Royal Air Force
Ministry of Defence
Rolls-Royce Plc
BAE Systems
Bombardier Transportation
International Tin Association (ITA)
Elan Business Associates
Network Rail
H S Marston Ltd, part of UTC Aerospace Systems
DSTL
Publications
Articles In Journals
- Ali Z, Addepalli S & Zhao Y. (2025). Effective thermal diffusivity measurement using through-transmission pulsed thermography: extending the current practice by incorporating multi-parameter optimisation. Sensors, 25(4)
- D’Amico RD, Sarkar A, Karray MH, Addepalli S & Erkoyuncu JA. (2024). Knowledge transfer in Digital Twins: the methodology to develop Cognitive Digital Twins. CIRP Journal of Manufacturing Science and Technology, 52
- Ali Z, Addepalli S & Zhao Y. (2024). Thermal material property evaluation using through transmission thermography: a systematic review of the current state-of-the-art. Applied Sciences, 14(15)
- Deng K, Liu H, Yang L, Addepalli S & Zhao Y. (2023). Classification of barely visible impact damage in composite laminates using deep learning and pulsed thermographic inspection. Neural Computing and Applications, 35(15)
- Upadhyay A, Li J, King S & Addepalli S. (2023). A deep-learning-based approach for aircraft engine defect detection. Machines, 11(2)
- Grenyer A, Erkoyuncu JA, Addepalli S & Zhao Y. (2023). Compound uncertainty quantification and aggregation (CUQA) for reliability assessment in industrial maintenance. Machines, 11(5)
- D'Amico DR, Addepalli S & Erkoyuncu JA. (2023). Industrial insights on digital twins in manufacturing: application landscape, current practices, and future needs. Big Data and Cognitive Computing, 7(3)
- Addepalli S, Weyde T, Namoano B, Oyedeji OA, Wang T, .... (2023). Automation of knowledge extraction for degradation analysis. CIRP Annals, 72(1)
- D’Amico RD, Erkoyuncu JA, Addepalli S & Penver S. (2022). Cognitive digital twin: an approach to improve the maintenance management. CIRP Journal of Manufacturing Science and Technology, 38(August)
- Wang Y, Zhao Y & Addepalli S. (2021). Practical options for adopting recurrent neural network and its variants on remaining useful life prediction. Chinese Journal of Mechanical Engineering, 34(1)
- Addepalli S, Zhao Y, Erkoyuncu JA & Roy R. (2021). Quantifying uncertainty in pulsed thermographic inspection by analysing the thermal diffusivity measurements of metals and composites. Sensors, 21(16)
- Zhou J, Du W, Yang L, Deng K, Addepalli S, .... (2021). Pattern recognition of barely visible impact damage in carbon composites using pulsed thermography. IEEE Transactions on Industrial Informatics, 18(10)
- Du W, Liu H, Zhao Y, Sirikham A, Addepalli S, .... (2020). A miniaturised active thermography system to inspect composite laminates. IEEE Transactions on Industrial Informatics, 17(5)
- Liu H, Tinsley L, Addepalli S, Liu X, Starr A, .... (2020). Detectability evaluation of attributes anomaly for electronic components using pulsed thermography. Infrared Physics & Technology, 111
- Liu H, Tinsley L, Lam W, Addepalli S, Liu X, .... (2020). A novel inspection technique for electronic components using thermography (NITECT). Sensors, 20(17)
- Du W, Addepalli S & Zhao Y. (2019). The spatial resolution enhancement for a thermogram enabled by controlled sub-pixel movements. IEEE Transactions on Instrumentation and Measurement, 69(6)
- Addepalli S, Zhao Y, Roy R, Galhenege W, Colle M, .... (2018). Non-destructive evaluation of localised heat damage occurring in carbon composites using thermography and thermal diffusivity measurement. Measurement, 131
- Witwit W, Zhao Y, Jenkins KW & Addepalli S. (2018). Global motion based video super-resolution reconstruction using discrete wavelet transform. Multimedia Tools and Applications, 77(20)
- Zhao Y, Addepalli S, Sirikham A & Roy R. (2017). A confidence map based damage assessment approach using pulsed thermographic inspection. NDT & E International, 93
- Krishnaswamy S, Tinsley L, Marchante V, Addepalli S, Huang Z, .... (2017). Effect of extrusion and compression moulding on the thermal properties of nylon-6/silica aerogel composites. Journal of Thermoplastic Composite Materials, 31(7)
- Zhao Y, Tinsley L, Addepalli S, Mehnen J & Roy R. (2016). A coefficient clustering analysis for damage assessment of composites based on pulsed thermographic inspection. NDT & E International, 83
Conference Papers
- Addepalli S, Namoano B, Oyedeji OA, Farsi M & Erkoyuncu JA. (2023). Designing a semantic based common taxonomy of mechanical component degradation to enable maintenance digitalisation
- Farsi M, Namoano B, Sonmez AN, Addepalli P & Erkoyuncu JA. (2023). A robust design for lifecycle cost with reliability analysis integration
- Erkoyuncu JA, Farsi M, Addepalli S & Latsou C. (2023). Design for Digitally Enabled Industrial Product-Services Systems
- Ali Z, Addepalli S & Zhao Y. (2023). A theoretical investigation into material characterisation using pulsed thermography in the reflection and transmission modes
- D’Amico RD, Addepalli S & Erkoyuncu JA. (2022). Is a top level ontology based digital twin the solution to human-machine interoperability?
- D'Amico DR, Sarkar A, Karray H, Addepalli S & Erkoyuncu JA. (2022). Detecting failure of a material handling system through a cognitive twin
- Ali Z, Addepalli S & Zhao Y. (2022). Through transmission thermography- A review of the state-of-the-art
- Latsou C, Minguell MGI, Sonmez AN, Irurre ROI, Palmisano MM, .... (2022). Developing an ontological framework for effective data quality assessment and knowledge modelling
- Tinsley L, Liu H, Addepalli S, Lam W & Zhao Y. (2021). Inspection of electronic component using pulsed thermography
- Grenyer A, Erkoyuncu JA, Addepalli S & Zhao Y. (2020). An Uncertainty Quantification and Aggregation Framework for System Performance Assessment in Industrial Maintenance
- Wang Y, Zhao Y & Addepalli S. (2020). Remaining Useful Life Prediction using Deep Learning Approaches: A Review
- Wang Y, Addepalli S & Zhao Y. (2020). Recurrent neural networks and its variants in Remaining Useful Life prediction
- Du W, Liu H, Sirikham A, Addepalli S & Zhao Y. (2020). A miniaturised active thermography system for in-situ inspections
- D’Amico D, Ekoyuncu J, Addepalli S, Smith C, Keedwell E, .... (2019). Conceptual framework of a digital twin to evaluate the degradation status of complex engineering systems
- DU W, ZHAO Y & ADDEPALLI SRI. (2019). Spatial Resolution Improvement of Digital and Thermographic Imaging Using an Automatic and Controllable Super-resolution Technique
- Addepalli S, Pagalday G, Salonitis K & Roy R. (2018). Socio-economic and demographic factors that contribute to the growth of the civil aviation industry
- Yazdani Nezhad H, Stratakis D, Ayre D, Addepalli S & Zhao Y. (2018). Mechanical performance of composite bonded joints in the presence of localised process-induced zero-thickness defects
- Grenyer A, Addepalli S, Zhao Y, Oakey L, Erkoyuncu JA, .... (2018). Identifying challenges in quantifying uncertainty: case study in infrared thermography
- Luna J, Addepalli S, Salonitis K & Makatsoris H. (2018). Assessment of an emerging aerospace manufacturing cluster and its dependence on the mature global clusters.
- Du W, Zhao Y, Roy R, Addepalli S & Tinsley L. (2018). A review of miniaturised Non-Destructive Testing technologies for in-situ inspections
- Addepalli S, Roy R, Axinte D & Mehen J. (2017). ‘In-situ’Inspection Technologies: Trends in Degradation Assessment and Associated Technologies
- Addepalli S, Eiroa D, Lieotrakool S, Francois A-L, Guisset J, .... (2015). Degradation study of heat exchangers
- Roy R, Mehnen J, Addepalli S, Redding LE, Tinsley L, .... (2014). Service Knowledge Capture and Reuse
- Redding L, Addepalli S, Roy R, Menhen J, Tinsley L, .... (2014). Service damage characterisation: A new model to build a semantics based and automated evaluation system
Books
- Zhao Y, Du W, Tinsley L, Addepalli S, Mehnen J, .... (2022). Damage assessment of composites based on non-destructive pulsed thermographic inspection In Composites Assembly for High Performance Fastener-less Structures. Institution of Engineering and Technology.
- Addepalli S, Zhao Y & Tinsley L. (2017). Thermographic NDT for Through-Life Inspection of High Value Components In Redding L, Roy R & Shaw A (eds), Decision Engineering. Springer International Publishing.
- Addepalli S & Tinsley L. (2015). Active Thermography in Through-Life Engineering In Redding L & Roy R (eds), Decision Engineering. Springer International Publishing.