George S Dulikravich

George S Dulikravich
Florida International University | FIU · Department of Mechanical and Materials Engineering (MME)

Ph.D.
Multi-objective hybrid optimization of 3D star-shaped hypersonic missiles, conjugate heat transfer and thermo-elasticity

About

405
Publications
57,196
Reads
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4,457
Citations
Additional affiliations
July 1999 - July 2003
University of Texas at Arlington
Position
  • Professor (Full)
January 1985 - July 1999
Pennsylvania State University
Position
  • Professor (Associate)
July 1982 - January 1985
University of Texas at Austin
Position
  • Professor (Assistant)
Education
August 1975 - January 1979
Cornell University
Field of study
  • Aerospace Eng. & Applied Math.
September 1974 - June 1975
University of Minnesota Twin Cities
Field of study
  • Aerospace Eng. & Theoretical Mech.
October 1968 - May 1973
University of Belgrade
Field of study
  • Mechanical & Aeronautical Eng.

Publications

Publications (405)
Article
Full-text available
An increase in computing power available from modern processors and GPUs has allowed more complex design optimization problems to be solved. This increase in complexity typically results in a difficult optimization problem with a highly non-linear objective function topology. In this work a robust optimization algorithm is presented capable of effi...
Article
Thermal ablation is a well‐established successful treatment for cardiac arrhythmia, but it still presents limitations that require further studies and developments. In the rotor‐driven functional re‐entry arrhythmia, tissue heterogeneity results on the generation of spiral/scroll waves and wave break dynamics that may cause dangerous sustainable fi...
Article
In this work, CALPHAD-based calculations provided with data for various stable and metastable phases in 2XXX, 6XXX, and 7XXX classes of aluminum-based alloys. These data were scaled and then used to develop Deep Learning Artificial Neural Network (DLANN) models for all these phases as a function of composition and temperature. Code was written in t...
Conference Paper
View Video Presentation: https://doi.org/10.2514/6.2022-0098.vid This paper presents a multi-objective hybrid optimization methodology for minimizing aircraft sonic boom and total drag of an aircraft capable of morphing its outer mold line (OML) using small, distributed deformations. The sonic boom and total drag minimization was done while keeping...
Article
Computational fluid dynamics (CFD) has become a popular tool compared to experimental measurement for thermal management in data centers. However, it is very time-consuming and resource-intensive when used to model large-scale data centers, and often unrealistic for real-time thermal analyses. In addition, it is prohibitive to use CFD for the optim...
Article
Full-text available
The effects of graphene platelets and diamond based thin film heat spreaders on maximum temperature of integrated electronic circuits were investigated. A fully three-dimensional conjugate heat transfer analysis was performed to investigate the effects of thin film material and thickness on the temperature of a hot spot and temperature uniformity o...
Preprint
Full-text available
The \emph{in situ} estimation of the thermal properties of existing building wall materials is a computationally expensive procedure. Its cost is highly proportional to the duration of measurements. To decrease the computational cost a methodology using a D-optimum criterion to select an optimal experiment duration is proposed. This criterion allow...
Article
Drug delivery to tumors suffers from poor solubility, specificity, diffusion though the tumor micro-environment and non-optimal interactions with components of the extra-cellular matrix and cell surface receptors. Nanoparticles and drug-polymer complexes address many of these problems. However, large size exasperates the problem of slow diffusion t...
Poster
Full-text available
https://aithermworkshop.nd.edu/posters/ NSF-JST Joint Workshop Thermal Transport, Materials Informatics and Quantum Computing March 22-26, 2021 Best Poster Award Recipient Rajesh Jha, Florida International University, Computational Design of Alloy Chemistry for Optimizing Multiple Macroscopic and Microscopic Properties
Poster
Full-text available
This work will focus on application of statistics, artificial intelligence and multi-objective optimization algorithms in the domain of materials science. Alloy design is a complex task, where a slight deviation in chemistry or manufacturing protocol can significantly affect the stability of a single or combination of several desired phases (micros...
Conference Paper
TMS 2021: AI/Data informatics: Design of Structural Materials — Poster Session
Conference Paper
Meeting: 2021 TMS Annual Meeting & Exhibition Symposium: Materials for High Temperature Applications: Next Generation Superalloys and Beyond Abstract: Using 120 experimentally verified Nickel base superalloys we performed calculations to estimate the critical phases responsible for high temperature applications (FCC_A1 (γ) and FCC_L12 (γ’)) and o...
Conference Paper
AI/Data informatics: Design of Structural Materials — AI/ML for Design of Structural Alloys & Additively Manufactured Materials Chemistries of Ti-Al-Cr-V alloys were computationally Pareto-optimized for simultaneously maximizing the Young’s modulus and minimizing density for a range of temperatures. Compositions at different temperatures of these...
Article
Full-text available
This work quantifies the uncertainty in Stevens Mark VII Perceived Level (PL) of sonic booms due to uncertainties in atmospheric profiles. The influence of temperature, humidity and wind profiles, at six cities around the globe, on the sonic boom loudness is calculated. The flow field around an aircraft was obtained by solving the 3D, compressible...
Article
Full-text available
In this work, we studied a Ti-Nb-Zr-Sn system for exploring novel composition and temperatures that will be helpful in maximizing the stability of β phase while minimizing the formation of α” and ω-phase. The Ti-Nb-Zr-Sn system is free of toxic elements. This system was studied under the framework of CALculation of PHAse Diagram (CALPHAD) approach...
Article
Scandium, and scandium combined with zirconium, improves multiple properties of aluminum based alloys. In this work, we performed solidification and heat treatment simulations for studying precipitation kinetics of Al3Sc crystals within the framework of CALPHAD approach on novel candidate alloy compositions from our previous work belonging to 2XXX,...
Article
The in situ estimation of the thermal properties of existing building wall materials is a computationally expensive procedure. Its cost is highly proportional to the duration of measurements. To decrease the computational cost a methodology using a D-optimum criterion to select an optimal experiment duration is proposed. This criterion allows to ac...
Preprint
Full-text available
Evolution model is based on that used by Hernandez et al., which considers the following groups: Susceptible, Incubating, Asymptomatic, Symptomatic, Hospitalized, Recovered and Accumulated deaths. Evolution model considers the possibility of infections from asymptomatic, symptomatic and hospitalized individuals. Evolution model considers the possib...
Article
This paper deals with the solution of an inverse bioheat transfer problem, by using Approximate Bayesian Computation (ABC). A Sequential Monte Carlo (SMC) method is applied for simultaneous model selection and model calibration (estimation of the model parameters) by using synthetic measurements. Two competing models are considered in the analysis...
Article
In this article, the temperature of biological tissues is estimated during hyperthermia therapy, while accounting for uncertainties in the bioheat transfer problem and in the available measurements. A state estimation problem is solved with the Steady-State Kalman Filter. The Pennes bioheat transfer model and the PRF-Shift Magnetic Resonance Thermo...
Article
Full-text available
Design methodologies of today require the solution of several many-objective optimization problems. The last two decades have seen a surge in several algorithms capable of solving multi-objective optimization problems. It was only in the past 5 years that new algorithms capable of coping with a large number of objectives have been introduced. This...
Article
Full-text available
Purpose This paper aims to solve the parameter identification problem to estimate the parameters in electrochemical models of the lithium-ion battery. Design/methodology/approach The parameter estimation framework is applied to the Doyle-Fuller-Newman (DFN) model containing a total of 44 parameters. The DFN model is fit to experimental data obtain...
Article
Full-text available
Data generated for the Ti–Al–Cr–V system of metallic alloys from our previous publication, where the composition of 102 alloys were computationally Pareto optimized with the objective of simultaneously maximizing the Young’s modulus and minimizing density for a range of temperatures, was the starting point of the current research, where composition...
Article
Full-text available
The work presented in this paper used rigorous 3D flow-field analysis combined with multi-objective constrained shape design optimization for the design of complete blade + bladelet configurations for a three-blade horizontal-axis wind turbine. The fluid flow analysis in this work was performed using Openfoam software. The 3D, steady, incompressibl...
Article
Full-text available
An inverse parameter estimation methodology for non-destructive simultaneous estimation of spatially varying thermal conductivity and specific heat in arbitrary 2D solid objects was developed that requires only boundary measurements of temperature. The spatial distributions of the two physical properties were specified by analytic functions involvi...
Article
Full-text available
This study presents the numerical solution of a bioheat transfer problem related to the ablation of biological tissues continuously heated by a laser. Different mechanisms of thermal decomposition, such as coagulation, vaporization, and removal of the necrotic tissues, were taken into account in the analysis. The finite volume method was used to ob...
Article
Full-text available
Purpose The purpose of this paper is to apply the Steady State Kalman Filter for temperature measurements of tissues via magnetic resonance thermometry. Instead of using classical direct inversion, a methodology is proposed that couples the magnetic resonance thermometry with the bioheat transfer problem and the local temperatures can be identified...
Conference Paper
Full-text available
The method of Elementary Effects (EE) is a parameter screening type sensitivity analysis technique that combines advantages of inexpensive one-at-a time methods and expensive variance decomposition based global Sensitivity Analysis (SA) techniques. Most of the sampling strategies for EE either use random sampling or maximize sample spread through o...
Conference Paper
Full-text available
The work presented in this paper used rigorous 3D flow-field analysis combined with multi-objective constrained shape design optimization for the design of bladelet (winglet) configurations for a three-blade propeller type wind turbine. The fluid flow analysis in this work was performed using 3D, steady, incompressible, turbulent flow Reynolds-aver...
Article
A fully 3D conjugate numerical analysis was performed to reveal the effects of air, R134a refrigerant and water on electromagnetic fields of electronic cooling designs made of arrays of micro pin-fins with integrated Through-Silicon-Vias (TSVs). The integrated TSV cooling configuration included 8 cylindrical TSVs with 150 µm diameter each and 200 µ...
Conference Paper
Full-text available
In the present study, the flow inside a real size Diesel fuel injector nozzle was modeled and analyzed under different boundary conditions using ANSYS-Fluent software. A validation was performed by comparing our numerical results with previous experimental data for a rectangular shape nozzle. Schnerr-Sauer cavitation model, which was selected for t...
Article
A methodology for non-destructive, accelerated inverse estimation of spatially varying material properties using only boundary measurements is presented. The spatial distribution of diffusion coefficient in 3D solid object is determined by minimizing the sum of the least-squares difference between measured and calculated values. The forward problem...
Conference Paper
Full-text available
Computational analysis of forced conjugate convection cooling of realistic human hearts including main epicardial blood vessels was performed. It was found that including the main epicardaial blood vessels in the forced conjugate cooling analysis accelerated the cooling process and reduced temperature irregularities in the heart tissue, suggesting...
Article
A novel approach is presented to constrain reduced-order models (ROM) based on proper orthogonal decomposition (POD). The Karush-Kuhn-Tucker (KKT) conditions were applied to the traditional reduced-order model to constrain the solution to user-defined bounds. The constrained reduced-order model (C-ROM) was applied and validated against the analytic...
Article
This paper presents multi-scale modeling substantiated with experimental aspects of state, filtration and motion of the gas-liquid mixtures involving phase transition regions in concentrated volumes applicable to porous media and pipe flows. Based on physics, it is confirmed analytically that actual levels of under-pressure in gas-liquids systems a...
Article
Full-text available
A combined experimental-computational methodology for accelerated design of AlNiCo type permanent magnetic alloys is presented with the objective of simultaneously extremizing several magnetic properties. Chemical concentrations of eight alloying elements were initially generated using a quasi-random number generator so as to achieve a uniform dist...
Article
Full-text available
Many modern global optimization algorithms are inspired by natural phenomena rather than classes of mathematical functions. Theorems such as No Free Lunch imply that an algorithm’s performance on an objective function is determined by the compatibility between the function and its structure. Grouping by inspiration blurs the distinction between alg...
Chapter
Full-text available
This work presents a computational design of optimal chemical concentrations of chosen alloying elements in creating new magnetic alloys without rare earth elements that have their multiple desired macroscopic properties extremized. The design process is iterative and uses experimental data and a multi-objective evolutionary optimization algorithm...
Article
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The rate of heat released during the combustion in Diesel engines is important for many reasons, including performance evaluation, pollutant formation, and control. Combustion in Diesel engines can be generally divided into three phases: pre-mixed, diffusive or mixed-controlled, and late combustion. The objective of this paper is to estimate the ra...
Article
A multi-dimensional random number generation algorithm was used to distribute chemical concentrations of each of the alloying elements in the candidate alloys as uniformly as possible while maintaining the prescribed bounds on the minimum and maximum allowable values for the concentration of each of the alloying elements. The generated candidate al...
Article
Full-text available
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 and average speed for arrays of micro pin-fins used in the forced convection cooling of an integrated circuit with a uniformly heated 4×3 mm footprint and a centrally located...
Article
Full-text available
Given a micro pin-fin array cooling scheme with these constraints: a) given maximum allowable temperature of the material (the hot spot temperature, b) given inlet cooling fluid temperature, c) given total pressure loss (pumping power affordable, and d) given overall thickness of the entire micro pin-fin cooling array, find the maximum possible ave...
Article
Dry sliding wear behavior of hafnium-based bulk metallic glass was studied at two loads (5 and 15 N) and two temperatures (298 and 673 K) using aluminum oxide (Al2O3) ball as a wear counterpart. At 5 N load, wear reduced by ~71% on increasing the temperature from 298 to 673 K. At a higher load of 15 N, the weight loss reduction was much lower (45%)...
Article
Identification of high-magnitude heat flux in real time is a challenging problem, since most of the currently available algorithms require large computation time in comparison with the time scale of the real physical problem. This paper presents a methodology that allows for quantifying the unsteady heat flux in real time by using the steady-state...
Article
Full-text available
Despite decades of research and development of Alnico alloys, significant uncertainties in the underlying structure-property relationships remain. Here we report on the effects of Ti on the Alnico microstructure and nanostructure, and the corresponding influence on magnetic properties. We show that Ti fosters the conditions resulting in the formati...
Article
Full-text available
Material properties such as thermal conductivity, magnetic permeability, electric permittivity, modulus of elasticity, Poisson's ratio, thermal expansion coefficient, etc. can vary spatially throughout a given solid object as it is the case in functionally graded materials. Finding this spatial variation is an inverse problem that requires boundary...
Conference Paper
Full-text available
Despite decades of research and development of Alnico alloys, there are still significant uncertainties in the underlying structure-property relationships. To address this issue, we came up with a novel approach of using/creating computational tools for design and multi-objective optimization of permanent magnetic alloys. Basic idea was to come up...
Article
Full-text available
This paper presents a methodology designed to calibrate a simple Finite Element (FE) model in order to accurately reproduce the mechanical behavior of a material. This desired behavior is based on experimental measurements obtained from a three-point bending test. In order to perform this inverse analysis with a feasible computational effort, the t...
Conference Paper
Developing a new material or even improving properties of an existing material is a complex and timeconsuming task. In recent years, materials scientists around the globe proposed a number of ways to speed up the alloy development process by using various computational tools. In this work, we made an attempt to demonstrate the efficacy of using com...