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Graduate Courses - UB Mechanical and Aerospace Engineering. All courses are 3 credits unless otherwise noted. Graduate Students should consult the online departmental course schedules at the Student Response Center to ascertain which semester a course is being taught.
A list of regularly scheduled classes can be found in the appendix A of the Graduate manual. Appendix A of the Graduate manual. The list of graduate classes scheduled for academic year 2. Click on the Course Number to view the description and Course Name to view the registration information.
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Official site of the University at Buffalo Mechanical and Aerospace Engineering Department. The Automation, Robotics and Mechatronics (ARM) Lab is a research laboratory in the Department of Mechanical & Aerospace Engineering of the School of Engineering & Applied Sciences in The State University of New York (SUNY) at. DMS Grads Sarah Mann and Galia Binder at the Infringement Festival 2016. Dylan Winters is a 23 year old Graphic Designer focusing on sports identity, logo design and branding. Born and raised in Pittsburgh, PA, but now living in Uniontown, PA with his beautiful wife and daughters. In May 2014.
Last revised Jan 2. MAE 5. 01 Individual Problems (1- 6 credits)For Master of Science candidates. Investigation carried out under thedirection of a member of the graduate faculty. TUT. Prerequisite: Permission of instructor and approval of the departmentchair. MAE 5. 03 Graduate Semina (no credit)A weekly seminar for graduate Mechanical and Aerospace Engineering students on topics in the fluids/thermal sciences, systems/design and mechanics/materials areas.
Seminar speakers will be invited from outside the University as well as from inside the school. SEM. MAE 5. 05 SP TP: Probability Essentials and Applications. The objective of this course is to rigorously study the fundamental concepts of measure- theoretic probability, and how these abstract concepts can be directly applied to the experimental or physical world.
Topics include: Probability space (triple), Borel sigma- field; Random variable, Probability distribution function, Simulation of random variables, Introduction to MATLAB statistical toolbox; Random vector, Vector- valued functions of random vector; Mathematical expectation, Problem of moments, Data uncertainty; Characteristic function; Modes of convergence of random variables, Central limit theorem; Introduction to stochastic process and random fields, Concept of stationarity, non- stationarity and ergodicity; Gaussian random processes and sampling techniques; Maximum likelihood estimation; and Basic Markov Chain Monte Carlo sampling. Pre- requisites for this course are working knowledge of multivariate calculus, basic knowledge of optimization theory, and programming skills.
MAE 5. 07 Engineering Analysis 1. Linear algebra, linear spaces and applications to ordinary differential equations, introduction to dynamical systems, bifurcations and chaos, Green's functions and boundary value problems, adjoint operators, alternative theorems, orthogonal expansions, Sturm - Liouville systems.
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LEC. MAE 5. 08 Engineering Analysis 2. Continuation of MAE 5. Classification of linear second order partial differential equations, characteristics method, Riemann invariants, application to compressible fluid flows, wave and heat equations in one space dimension, eigenfunction expansion, transform methods and fundemental solutions, first order quasilinear partial differential equations, generalized conservation laws and kinematic waves, Burger's equation, shallow water waves, Korteweg - de. Vries equation and solitons.
LEC. Prerequisite: MAE 4. MAE 5. 10 Physical Fluid Dynamics. The objective of this course is to provide a physical understanding of unsteady. Topics include boundary- layer theory and boundary- layer separation. Throughout the course, the. Assignments will include reading and discussion of recent. Application of the material to current research in areas such as.
MAE 5. 12 Machines & Mechanisms 2. Kinematics and dynamics of machinery; linkages, geometry of motion,mobility; velocity and acceleration analysis by graphical, analytical, and numerical techniques; static and dynamic force analysis in machinery; engine analysis; flywheels; balancing. Emphasis upon using multibody dynamic simulation tools for enchancing functional performance of machinery. MAE 5. 14 Evaluation of Biomedical Materials. This course serves multidisciplinary teams of students from a variety of backgrounds. Detailed discussions review the critical characteristics of specific materials useful for various types of medical and dental devices; selection criteria based on function and longevity; performance testing in- vitro and in- vivo; evaluation of material breakdown in biological media, and potential toxicologic consequences; design of clinical trials; surgical considerations; and regulatory and legal issues. This course utilizes each student's primary field of expertise as guide to specific topics of biomaterials evaluation.
A "case study" midway through the course allows students to actually design and promote a new implant device for an unmet medical need, with particular attention to meeting regulatory and marketing requirements. Crosslisted as: BMA 5.
MAE 5. 15 Fluid Mechanics 1. Vector and tensor notation; continuity equation; fluid kinematics and stress- strain relations; Navier- Stokes equations; general integral formulations; energy equations; incompressible viscous flows at low Reynolds numbers; boundary layer approximations. LEC. MAE 5. 16 Fluid Mechanics 2.
A continuation of MAE 5. Laminar boundary layers; linear stability theory and transition; turbulent flow; inviscid potential flow; compressible flow. LEC. Prerequisite: MAE 5. MAE 5. 17 Applied Orthopaedic Biomechanics.
Design of implants and prosthetics in relation to the biomechanics of the musculoskeletal system. Topics include bone physiology, testing methods (tension, compression, bending, torsion, shear, and fatigue, including nondestructive testing), strain gage application, composite theory of bone, stress fractures and fatigue properties in the musculoskeletal systems, fracture healing external/internal fixation (AO, Ilizarov etc.), aging and osteoporosis, pathology of osteoarthritis, joint replacement and arthroplasty, and spine biomechanics.
MAE 5. 18 Electrodynamics of Fluids. This course is intended to provide an introduction to the electrodynamics of fluids and particles at the graduate level. Topics include Maxwell's equations, electromagnetic forces and energy, elementary plasma theory, MHD and EHD flows, electromagnetic effects on heat and mass transfer, dynamics of charged suspensions, and various applications. LEC. Prerequisite: Undergraduate courses in electromagnetic theory and fluid mechanics.
MAE 5. 19 Turbulent Flow. A brief review of fluid mechanics will be followed by an introduction to the phenomena of instability and transition to turbulence. The bulk of the course will then focus on the study of turbulence. Receiving special emphasis will be the energetics of turbulent flow, the multiplicity of scales of motion, and the tendency of turbulent flows toward equilibrium and self- preserving states. The course should be of interest to anyone interested in aerodynamics, convective heat transfer and fluid mechanics. Course crosslisted as CIE 5.
LEC. Prerequisite: Course in Fluid Mechanics. MAE 5. 20 Biomechanics of the Musculoskeletal System.
Basic aspects of anatomy; forces transmitted in the body; bones as structural members; joint and muscle forces. Kinematics of body motions; instantaneous centers of joint motions; behavior of normal and abnormal joints; remodeling. Biomaterials; ligaments and tendons. Functions of orthotics and prostheses; design considerations.
The course includes a weekly seminar and one or two laboratory sessions. LEC/SEM. Prerequisite: EAS 2. EAS 2. 06, or equivalent. MAE 5. 22 Heat Exchanger Design. Classification of heat exchangers, overview of heat exchanger design procedure, log mean temperature difference and exchanger effectiveness, number of transfer units analyses, exchanger pressure drop analysis, surface basic heat transfer and flow friction characteristics, experimental correlations and theoretical solutions, special design considerations to regenerators, plate- fin, tube- fin and shell- and- tube exchangers; heat exchanger surface selection and optimization; flow distribution and header design; heat exchanger fouling; flow- induced vibrations; and transient response of heat exchangers. LEC. Prerequisite: Undergraduate training in mechanical engineering fluid mechanics and heat transfer. MAE 5. 23 Theory of Turbomachinery.
Similarity considerations; dimensionless performance characteristics; Reynolds number and scale effects; thermodynamics and fluid mechanics of turbomachinery; energy transfer in turbo- machinery; one- , two- , and three- dimensional analysis of inviscid flow in turbomachinery; loss mechanisms; performance characteristics of radial and axial flow fans, pumps, compressors, and turbines. MAE 5. 24 Elasticity. A rigorous introduction to the theory and application of classical elasticity theory. Tensor analysis, stress, deformation, strain and elastic constitutive equations. The field equations of elasticity.
Uniqueness theorem. Formulation and solution of boundary value problems, including bending, torsion, plane strain and plane stress. Same as CIE 6. 21. LEC. MAE 5. 25 Plates and Shells"Exact" theories of plates and shells. Static and dynamic models. Rational approximations. Improved" and classical theories.
Relation of approximate plate and shell models to elasticity solutions. Boundary value problems in plate and shell theories. Anisotropic and sandwich plates and shells. Initially stressed plates. Stability considerations, linear and non- linear models. Also listed as CIE 5. LEC. Prerequisite: MAE 5.
MAE 5. 29 Finite Element Structural Analysis. This course is intended to bridge the gap between the theory and application of finite element modeling.
At the end of the course the student will be able to judge if a problem is appropriate for finite element analysis, will know how to determine the model type, will be able to determine the type of elements to use and how many, and will have the background to judge the accuracy of the results obtained. These practical skills are difficult to acquire in a strictly theoretical course.