Lambros Kaiktsis is a Professor at the Department of Naval Architecture & Marine Engineering of the National Technical University of Athens, and the Head of the Division of Marine Engineering. He joined the faculty of the Department in 2003. He obtained his Diploma in Mechanical Engineering from the Aristotle University of Thessaloniki, his MSc in Mechanical & Aerospace Engineering from Princeton University, and his PhD in Mechanical & Process Engineering from ETH Zurich. For a number of years he worked as a research scientist at ETH Zurich on the modeling of complex flow and combustion applications, using Computational Fluid Dynamics (CFD). He has also been a consultant to the marine Diesel engine industry (Wärtsilä Switzerland), working on development projects of large two-stroke marine Diesel engines using CFD. He has participated in many national and EU-funded research projects, in eight of them as the coordinator. His research work includes about 70 peer-reviewed publications in international journals and conference proceedings; it has received over 1000 citations. He has received the Best Paper Award by the Microturbines & Small Turbomachinery Committee of the American Society of Mechanical Engineers (ASME) in June 2010, and a Scientific Award for Excellence by the Greek Ministry of Education in December 2012. He has been a reviewer of about 35 journals in the fields of CFD, fluids mechanics, heat transfer, internal combustion engines and combustion, and an Area Editor of the Journal “Simulation Modelling Practice and Theory”.
The research of Prof. Kaiktsis and his team focuses on CFD, with applications to both non-reactive and reactive flow. In particular, the work on marine engines (Diesel and dual-fuel) involves the development of fuel thermophysical property models, the development of physical models for spray and combustion processes, and their application to the optimization of engine operation. In the course of engine optimization studies, CFD codes are coupled with optimization tools based on evolutionary algorithms, with the goal of reducing pollutant emissions, as well as fuel consumption. Further, CFD-based tools are developed and applied to the design optimization of critical powertrain tribological components, such as journal/thrust bearings and piston rings. This activity involves a proper implementation of state-of-the-art technologies, such as surface texture and hydrophobicity, and aims at optimizing load carrying capacity and friction losses. Along another path, research in the area of Fluid-Structure Interaction is performed, using Direct Numerical Simulation (DNS) based on high-order Spectral Element methods, with typical problems including flow past oscillating bluff bodies. A primary interest in this activity is to pave the way for energy harvesting studies, as well as to contribute to understanding Vortex Induced Vibration (VIV) in structures as oil risers and heat exchangers.