Call for papers : Optimizations for Turbomachinery
Special topic:
Thermofluidic and Aerodynamic Optimizations for Turbomachinery
Topic summary:
Turbomachines are essential energy conversion elements widely adopted in industrial applications, such as land-based power generation and aircraft propulsion. A large number of investigations have been carried out to design turbomachines with higher thermal and aerodynamic performance. However, the raditional way of proceeding involves numerous simulations, error experiments, and separate trials. Optimization techniques can provide a powerful path to the most suitable design whilst considering multiple objectives, disciplines, or subsystems. Hence, multi-objective and multi-disciplinary optimization methodologies have attracted lots of attention and have progressed enormously in recent years. More detailed, multi-disciplinary design optimization has become essential for solving complex engineering design problems by decomposing a problem into several sub-problems and collecting the local solutions to give a new design point for the original question.
Potential topics include, but are not limited to:
Thermofludic or aerodynamic optimizations on turbomachinery by Design of Experiment (DOE) methods, Taguchi Methods, Surrogate models, Response Surface Methods (RSM), Kriging metamodels (KRG), Radial Basis Functions (RBF), Genetic Algorithms (GA), Annealing algorithms, Adjoint methods, Gradient-based Optimization method, etc.Other multi-disciplinary optimization methods for turbomachinery, such as Aero-thermal optimization, Aero-thermal-structural optimization, Aero-acoustic optimization, Aero-elastic optimization, Aero-thermo-elastic optimization, etc.
Important dates:
Manuscript due: August 31, 2021.
Submission guidelines:
Chinese Journal of Aeronautics is an international, peer-reviewed, and open-access journal of aerospace engineering published by Elsevier. The latest SCI impactfactor is 2.215, which ranks JCR Q1 among journals of Aerospace Engineering.
http://hkxb.buaa.edu.cn/CN/column86.shtml.
Guest Editors:
Dr. Ernesto Benini, graduated with honors in Mechanical Engineering (1996), PhD in Energy Technology (2000), he iscurrently professor of "Propulsion Machines" at the Department of Industrial Engineering of the University of Padua, Italy. He has more than twenty years of experience in the research and development of advanced methods for the design of fluid machines. He is responsible of numerous private and community research projects, as well as scientific advisor to major international companies in the propulsion sector. Member of ASME and AIAA. He serves as Associate Editor of authoritative scientific journals such as ASME "Journal of Engineering for Gas Turbines and Power" and "International Journal of Turbo & Jet Engines". Author and co-author of about 300 scientific publications concerning the Fluid Dynamics of Machines. He has received numerous awards for his academic and scientific activity, including numerous "Best Paper Awards", the gold medal forthe best Academic Curriculum and the New York Academy of Sciences nomination for the "Outstanding young researchers" award.
Dr. Richard Jefferson-Loveday, is Associate Professor at the Gas Turbines and Transmissions Research Centre (G2TRC) at the University of Nottingham. Prior tothis he was Senior Research Fellow at the Whittle Laboratory at the University of Cambridge. He and his colleagues were recipients of the International Gas Turbine Institute Turbomachinery Committee Best Paper Award for their detailed investigations of wake-induced transition in turbines. Jefferson-Loveday is leading two European Cleansky II projects on CFD for low pressure turbines and oil systems and one EPSRC project developing CFD numerical methods. He is also Co-Ion an EPSRC Prosperity Partnership project investigating innovations in thermal management and machine learning. Through these he leads a team of fifteen researchers. In 2014 he was visiting researcher at HLRS Stuttgart where he developed CFD algorithms and is also a member of the UK Turbulence Consortium.