This paper presents basic concepts of inverse and optimization problems. Deterministic stochastic minimization techniques in finite infinite dimensional spaces are revised; advantages disadvantages each them discussed a hybrid technique is introduced. Applications the for problems heat transfer presented.

Aerodynamic drag force breakdown of a typical transport aircraft shows that lift-induced can amount to as much 40% total at cruise conditions and 80-90% the in take-off configuration. One way reducing is by using wing-tip devices. By applying several types winglets, which are already used on commercial airplanes, we study their influence performance. Numerical investigation five configurations winglets described preliminary indications aerodynamic performance provided. Moreover, advanced...

Covers advancements in spacecraft and tactical strategic missile systems, including subsystem design application, mission analysis, materials structures, developments space sciences, processing manufacturing, operations, applications of technologies to other fields.

A limited number of aerodynamic shape design concepts have been surveyed and an attempt has made to classify them. Characteristics, both positive negative, the more prominent methods were outlined. Future research is expected concentrate on use Navier-Stokes equations applications threedimensional configurations. Interdisciplinary constrained optimization play a role in immediate future. Adjoint operator/control theory its variations are most promising for interdisciplinary which involves...

This article aims at the acceleration of an inverse heat transfer problem solution within Bayesian framework. The physical involves a spatially varying flux, which can reach very large magnitudes in small regions, such as heating imposed by high-power lasers. estimating flux is solved using Markov chain Monte Carlo method, with simulated transient temperature measurements. based on reduced model, consists improved lumped formulation linearized version original nonlinear problem. Two...

Despite decades of research and development Alnico alloys, significant uncertainties in the underlying structure-property relationships remain. Here, we report on effects Ti microstructure nanostructure, corresponding influence magnetic properties. We show that fosters conditions resulting formation Cu-Ni-rich bridges α <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> phases between xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>...

Data-driven models were constructed for the mechanical properties of multi-component Ni-based superalloys, based on systematically planned, limited experimental data using a number evolutionary approaches. Novel alloy design was carried out by optimizing two conflicting requirements maximizing tensile stress and time-to-rupture genetic algorithm-based multi-objective optimization method. The procedure resulted in optimized alloys having superior properties. results corroborated rigorous...

An inverse Boundary Element Method (BEM) procedure has been used to determine unknown heat transfer coefficients on surfaces of arbitrarily shaped solids. The is noniterative and cost effective, involving only a simple modification any existing steady-state conduction BEM algorithm. Its main advantage that this method does not require knowledge of, or solution to, the fluid flow field. Thermal boundary conditions can be prescribed part solid object, while boundaries exposed moving partially...

A Boundary Element Method (BEM) implementation for the solution of inverse or ill-posed two-dimensional Poisson problems steady heat conduction with sources and sinks is proposed. The procedure noniterative cost effective, involving only a simple modification to any existing BEM algorithm. Thermal boundary conditions can be prescribed on part solid object while partially entirely unknown. Overspecified internal temperature measurements are required in order compensate unknown conditions....

Rapid cooling of the brain in first minutes following onset cerebral ischemia is a potentially attractive preservation method. This computer modeling study was undertaken to examine brain-cooling profiles response various external methods and protocols, order guide development devices suitable for deployment on emergency medical vehicles. The criterion successful taken be attainment 33°C average temperature within 30 min treatment. transient an anatomically correct realistic 3-D head neck...

ABSTRACT We have adapted an advanced semistochastic evolutionary algorithm for constrained multiobjective optimization and combined it with experimental testing verification to determine optimum concentrations of alloying elements in heat-resistant austenitic stainless steel alloys superalloys that will simultaneously maximize a number the alloy's mechanical properties. The allows finite ingredients alloy be optimized so physical properties are either minimized or maximized, while satisfying...

This article presents fully three-dimensional conjugate heat transfer analysis and a multi-objective, constrained optimization to find sizes of pin-fins, inlet water pressure, average speed for arrays micro pin-fins used in the forced convection cooling an integrated circuit with uniformly heated 4 × 3 mm footprint centrally located 0.5 hot spot. Sizes having cross sections shaped as circles, symmetric airfoils, convex lenses are optimized completely remove due steady, uniform flux 500 W...

This work deals with the use of radial basis functions for interpolation likelihood function in parameter estimation problems. The focus is on Bayesian techniques based Markov Chain Monte Carlo (MCMC) methods. proposed applied to test cases inverse problems heat and mass transfer, solved Metropolis–Hastings algorithm. interpolated reduces significantly computational cost associated implementation such method without loss accuracy estimated parameters.

A method for generation of computational grids using principles nonlinear programming (optimization) is described. Grids are generated so that certain discrete measures grid smoothness and orthogonality max- imized a fast iterative optimization procedure. The can also be used to improve an existing ir- respective the its generation. If original contains regions overlap (nonpositive Jacobian), this capable unraveling making it useful computations. op- timization procedure efficient due use...

The objective of this paper is to introduce applications Bayesian filters state estimation problems in heat transfer. A brief description within the framework presented. Kalman filter, as well following algorithms particle filter: sampling importance resampling and auxiliary resampling, are discussed applied practical

Purpose This paper aims to solve the parameter identification problem estimate parameters in electrochemical models of lithium-ion battery. Design/methodology/approach The estimation framework is applied Doyle-Fuller-Newman (DFN) model containing a total 44 parameters. DFN fit experimental data obtained through cycling Li-ion cells. performed by minimizing least-squares difference between experimentally measured and numerically computed voltage curves. minimization using state-of-the-art...

A three-dimensional finite element method (FEM) formulation for the prediction of unknown boundary conditions in linear steady thermoelastic continuum problems is presented. The present FEM capable determining displacements, surface stresses, temperatures, and heat fluxes on boundaries where such quantities are or inaccessible, provided sufficiently over-specified other boundaries. can also handle multiple material domains multiply connected with ease. regularized form regularization...