All courses, arranged by program, are listed in the catalog. If you cannot locate a specific course, try the Advanced Search. Current class schedules, with posted days and times, can be found on the NOW/Student Dashboard or by logging in to SiS.
this course is concerned with the theory and application of deterministic mathematical models in operations research. Topics include nonlinear programming, integer programming, integer programming and network flows. Advanced topics in linear programming (i.e.,duality theory, etc.), integer programming (i.e.,cutting planes, smart branching, and column generation), and nonlinear programming (i.e., search) are emphasized.
Pre-req: IENG.3010 Deterministic Modeling and Analysis, or Graduate Level.
Advanced study in Markov chain and continuous time Markov process models and applications, renewal processes, Brownian Motion,analytical and numerical approximation methods, Markov decision processes and dynamic programming.
Pre-req: IENG.3020 Stochastic Modeling and Analysis, or Graduate Level.
An in-depth analysis of advanced manufacturing processes with materials including metals, polymers and composites. Topics to include traditional subtractive processes as well as developing additive processes.
Pre-req: IENG.3030 Manufacturing Processes, or Graduate Level.
This course introduces dynamics of manufacturing systems and frameworks of production planning and control. Topics covered in this course include demand forecasting, aggregate planning, inventory control, production control, and operations scheduling. The objective of the course is to help students understand basic concepts and principles in production systems and prepare themselves in dealing with various problems in production management.
This course introduces advanced topics in automation and control with applications in manufacturing, material handling, packaging and transportation. Specific attention is paid to the integration of these technologies in manufacturing systems and their control through data acquisition and analysis.
Pre-req: IENG.4040 Manufacturing Systems Automation, or Graduate Level.
this course considers the application of computer simulation to industrial settings. Specific areas covered include system structure, system analysis, model construction, data collection, and computer simulation languages. The application of simulation to facilities layout for manufacturing is emphasized.
Pre-req: MATH.3860 Probability and Statistics I, or Equivalent.
this course focuses on the planning, design, and analysis of facilities. Considerations include product flow, space and activity relationships, personnel requirements, material handling, and layout. Traditional and contemporary issues in manufacturing and their impact on facilities design including receiving, shipping, warehousing, and integration with manufacturing and supporting operations are explored. Facilities planning models and the process of evaluating, selection, preparing, presenting, and implementing the facilities plan are covered.
This course considers the design of human machine interfaces as it applies to industrial settings. Specific areas covered include safety, ergonomics, intended use, form factors, and regulatory standards. The application of simulation to facilities layout for manufacturing is emphasized.
Pre-Req: Graduate level or Instructor permission.
There is currently no description available for this course.
This course will enable students to develop a hands-on, in-depth understanding of the frameworks, principles, tools, and applications of life-cycle assessment (LCA) to assess the environmental and social sustainability of products and supply chains. Topics covered include sustainability and systems thinking, LCA method, ISO standards, the computational structure of the Life Cycle Inventory, environmental LCA, social LCA, economic input-output LCA, handprint assessment, and related analysis. Finally, principles of sustainable systems (Production and Consumption) case studies will be discussed including sustainable food systems, sustainable energy, sustainable transportation, and sustainable buildings.
Pre-req: Sophomore Level or Permission of Instructor.
Doctoral Dissertation Research.
Research seminar for students to listen to and engage with engineering-relevant researchers. Invited speakers will present recent research advances in fields relevant to mechanical engineering, and engage with the audience through a question and answer session. "Variable credit course, student chooses appropriate amount of credits when registering."
A group design of an innovative energy system. Integration of many aspects of the student's engineering background, including design concepts, technical analyses, economic and safety considerations. Ideally the whole design cycle of design, build, test. A formal report and oral presentation.
Course provides the theoretical and practical background in the fundamentals of dynamics and diagnostics of rotating machinery. The course starts with an overview of rotating machinery components and systems with emphasis on their designs, and then builds and in-depth understanding of the dynamics of rotating systems by analyzing the design and dynamics of their component. Diagnostics, health monitoring, and associated signal processing theories regarding rotating machinery are emphasized, with applied examples such as aircraft engines, gas turbines, rotorcrafts, wind turbines, and automotive drivetrains, along with other turbomachines.
This course covers applications of finite element analysis to the mechanical behavior of textiles and composites, including topics such as mechanics of orthotropic materials, elasticity and strength of laminates, computational micromechanics, meso-scale finite element modeling, material testing, modeling techniques. These topics will be studied using software packages such as Abaqus and Matlab.
An introduction to finite element methods using popular commercial packages. The features common to different programs as well as special features of particular programs are presented. Primary focus is on hands-on familiarity with the software with a limited discussion of the underlying finite element theory. ALGOR, ADINA, ABAQUS, LS-DYNA, HyperMesh, and FEMAP are among the pre/post-processing and analysis packages used in the class. This is a WWW based course and access to a PC, the Internet, and a frames-capable browser is required.
Matrix algebra and the Rayleigh-Ritz technique are applied to the development of the finite element method. The minimum potential energy theorem, calculus of variations, Galerkin's and the direct-stiffness method are used. Restraint and constraint conditions are covered. C0 and C1 continuous shape functions are developed for bar, beam, and two and three dimensional solid elements. Recovery methods, convergence and modeling techniques are studied. Applications to problems in static stress analysis and heat conduction.
Review of single and multiple degree of freedom system using classical and Laplace formulations. Finite element methods for dynamic systems. Model reduction/expansion formulations. Modal participation and mode activation concepts. Linear algebra review, matrix formulations, matrix eigenanalysis, generalized inverses, spectral and singular valued decomposition techniques. Models developed using MATLAB.
Prerequisite: 22.4xx/5xx Experimental Modal Analysis I (or permission of instructor) Review of system transfer and FRF matrices for development of a modal model. Review of DSP techniques for experimental modal analysis. Excitation techniques for the development of the system FRF matrix; SISO and MIMO techniques. Modal parameter estimation using time and frequency domain techniques. Advanced data manipulation for dynamic analysis. Introduction to structural dynamic modification and system modeling concepts. Models developed using MATLAB and commercially available software.
Prerequisite: MECH.5150 Development of system equations of motion for mdof systems. Proportional and non-proportional damping. Dynamic response using mode superposition, maximum response, frequency domain techniques and direct integration using central difference, Runge-Kutta, Wilson theta, and other techniques. Models developed using MATLAB.
The course covers analytical/numerical modeling and analysis of signal processing. The course topics include: Fourier Series, Linear Systems and Transfer Functions, Laplace Transforms, Analog filters, Fourier Transforms, Analog to Digital Conversion (A/D & D/A), Quantization, Sampling and Nyquist Theorem, Aliasing, Discrete Fourier Transform (DFT), Windowing & Leakage, FFT & STFT, Spectrograms, Spectral Analysis and Estimation, Convolution, ARMA processes, Correlation, Coherence, Kurtosis, Multi-rate filters and the Wavelet Transform , FIR & IIR Filters, Adaptive Filters, Signal Processing Hardware and Implementation.
Pre-Req: 22.451 Dynamic Systems Analysis (or equivalent)
Analytical and experimental background for the fundamental understanding of time and frequency domain signals, required for digital signal processing, vibration, and acoustic signal analysis. Introductory theory is based on simplified concepts form different mechanical signatures in the time domain. The spectral conversion from time domain to frequency domain is illustrated from a phenomenological perspective using examples and dynamic signal analyzer illustrations. The concepts of vibration and acoustic measurement methods are studied through practical projects and LabVIEW exercises. Students will be prepared for more advanced topics on dynamic systems, controls, vibrations, advanced signal processing, acoustics, and experimental structural dynamics. Familiarity with Matlab required.
Pre-Req: MATH 2360 Eng. Differential Equations and MECH 4510 Dynamic Systems Analysis.
The course focuses on defining concepts and operational principles of various sensing technologies and their applications for assessing the conditions of aerospace, civil, and mechanical engineering systems and materials. Analytical and experimental background of commonly used wire-based and wireless transducers, their data acquisition protocols, and signal processing techniques in time and frequency domains are discussed. A strong emphasis is provided to non-contact and optical techniques, including mono/stereo computer-vision and thermal infrared for nondestructive evaluation and subsurface inspection. The concepts discussed in the lectures are analyzed in deep and applied through practical projects, demonstrations, and hands-on experiments on laboratory scale structures.
Mathematical approaches for numerically solving partial differential equations. The focus will be (a) iterative solution methods for linear and non-linear equations, (b) spatial discretization and meshing (c) finite difference methods (FDM), (d) finite volume methods (FVM), (e) finite element methods (FEM) and (f) boundary element methods (BEM). The theory behind of each of these methods will be developed and discussed. Computer programming applications involving the solution of linear and non-linear PDEs in multiple dimensions will play a key role in this course. Unique computer programming assignments will be selected from different engineering/science fields (possibilities include: fluid flow, heat transfer, electrostatics, electromagnetism, structural analysis, medical, ocean engineering etc.) to illustrate the broad applicability of numerical methods. Students will be expected to complete programming assignments -- while most class examples will deal with pseudo code and/or matlab, a working knowledge of one of the following programming languages is recommended: Matlab, Octave, C, C++, fortran, Java, BASIC, or Python.
Utilization Terrestrial irradiation on tilted surfaces; radiation, conduction, convection in collectors; absorptance, emittance, reflection, transmittance of solar irradiation; energy flow in flat plate and concentrator collectors; storage; design tools; small project; web-based.
An overview of all aspects of wind energy power generation: The nature of and statistics of wind, turbine siting requirements, aerodynamics of the rotor system, mechanical power transmission, generators, blade construction, structural analysis of turbine components, electrical power distribution.
The Offshore Wind Engineering course provides a solid understanding of the science and engineering required to successfully develop and construct an offshore wind farm. The course includes a review of the basic equations which drive wind turbine performance, the unique challenges of engineering fixed bottom and floating wind turbine platforms, and an introduction to dynamic structural modeling of wind turbines using OpenFAST. Following this will be an examination of the leasing, permitting, environmental protection, grid connection, construction, and financing challenges which must be addressed to deliver a profitable wind farm.
Detail the entire process of structural health monitoring applications, including operational evaluation, data acquisition, normalization and cleansing, feature extraction and data compression, and statistical model development and pattern recognition. Aiming at detecting, localizing, and evaluating the damage severeness, topics that will be covered in this course include: sensors and sensor networks, signal processing and detection theory, nondestructive evaluation techniques, time and frequency modeling, damage prognosis, unsupervised/supervised learning, probability and statistics in feature evaluation. Case study of SHM activities will be conducted throughout the entire course, including mechanical, aerospace and civil structures.
Fundamentals of acoustics are introduced. Topics include: Motivation for studying acoustics, oscillatory motion, harmonic waves, the wave equation, sound pressure levels, decibel scale, frequency analysis, sound power, intensity, acoustic sources, directivity, sound radiation, sound power measurement, sound in enclosures, acoustic mode shapes, reverberation time, sound absorbing material, impedance, transmission loss, cavity resonators, reactive and dissipative mufflers, and applications to noise control.
Pre-Req: 22.451 Dynamic Systems Analysis.
Students will study the concepts and design considerations of grid-connected, solar-powered, electrical generation systems, from residential through utility scale. Emphasis will be on practical applications that help make the student "work ready" at graduation. Grading consists of two tests during semester; one individual project (residential scale PV system); and one group project (commercial-scale system). This course fulfills an elective requirement for renewable energy students.
The fundamentals of hydropower engineering and the related parameters for the design of hydropower plants, including, hydraulic, hydromechanics and hydroelectric components, are presented in this course. References are also made to dams and water conduit systems, in multi-purpose hydro development projects, as well as small hydroelectric plants. The hydrological, environmental and economical aspects of hydro projects are also briefly addressed. At the end of the course, students should be able to calculate the basic parameters of hydropower projects, at a preliminary level, such as powerhouse capacity, turbine and generator technical parameters and dimensions, water conduit and hydro mechanical equipment types and sizes, and perform a cost-benefit evaluation.
Course focuses on the development of a fundamental understanding of transport processes from a multi-scale and multi-physics perspective, and the application of such understanding to the analysis of energy engineering systems. Derivations of the equations describing the mechanisms for mass, momentum, and energy transport are presented, together with approaches for the evaluation of material properties and constitutive relations. Emphasis is placed on a holistic view of transport processes as combinations of transient, advective, diffusive, and reactive phenomena.
Systems engineering, stochastic modeling, design, and life-cycle cost analysis of several solar systems: photovoltaics, passive heating, solar cooling, and daylighting; Web Based.
Overview of the manufacturing processes used to make a typical crystalline solar cell. Detailed study of selected processes and manufacturing problems, such as solar cell testing, characterization, reliability issues, factors affecting yields, automated material handling, affect of impurities in crystal growth.
Explore and codify the status of the world's energy infrastructure and discuss energy-related policies. Identify areas of energy inefficiency and examine pathways to a future dominated by renewable and sustainable resources.
The primary objective of this course is to understand the fundamental science and engineering of fuel cells and redox flow batteries (i.e., reversible fuel cells). The fundamental principles of electrochemistry, thermodynamics, and kinetics of electrochemical reaction processes, as well as mass transport in electrochemical energy systems will be considered. Emphasis will be placed on operating principles and the design and diagnostics of the proton exchange membrane fuel cell as a portable energy conversion system, and the vanadium redox flow battery as a large-scale energy storage system. Cell components and their influence on the overall performance of these systems will be discussed in detail. An introduction to the cost analysis of electrochemical energy storage will be presented.
This course covers concepts related to autonomous robotic systems, emphasizing the synthesis and design of control algorithms for autonomous robotic vehicles. Topics that will be covered in the course include: Linear and nonlinear systems analysis, stability in the sense of Lyapunov, linearization of nonlinear dynamic equations, rigid body equations of motion in three dimensions, dynamic model derivation of aerial, space, marine and ground vehicles, fundamentals of flight dynamics, feedback control design for autonomous robotic vehicles, guidance and navigation, description of components typically encountered to autonomous robotic vehicles, guidance and navigation, description of components typically encountered to autonomous robotic vehicles, cooperative control of multi-robot teams and state estimation.
Introduction to the modeling, analysis, planning, and control of legged robotic locomotion systems. Topics covered include: basic components of robotic systems, selection of coordinate frames, homogeneous transformations, solutions to kinematic equations, velocity and force/torque relations, legged Locomotion dynamics in Lagrange's formulation and Newton-Euler formulation, digital simulation of kinematic and dynamic models, kinematics of legged robots, zero-moment-point (ZMP) stability, hybrid-zero-dynamics (HZD) methods, and motion planning and locomotion control.
Pre-req: MATH.2360 Differential Equations, and Co-req: MECH.4510 Dynamic Systems Analysis.
Introduction to the analysis and design of feedback controllers for linear systems using the state-space formulation. Topics covered include linear algebra, vector spaces, state-space representation, realization theory, stability in the sense of Lyapunov, controllability and observability, Kalman decomposition, pole placement via state-feedback, observer design, linear quadratic regulators and introduction to nonlinear systems.
This course examines the technical, financial and societal aspects of photovoltaic (PV) systems that are not connected to the electrical grid. Topics include: reasons for going off the grid, the components of an off-grid PV system, how to size a PV system to meet the required load, site impacts on performance, determining the loss of load probability (LOLP) for a system, hybrid systems, e.g. solar plus a generator, energy storage solutions, regulatory issues, and cost. Systems sized to meet the annual load requirements of a remote communication system, a net-zero home, and a small village will be examined. HOMERMicrogrid, PVWatts, and other software will be used to design these systems.
Pre-req: 22.525 Grid-Connected Solar Electric System.
Introduction of fundamental materials development and principles in addressing issues associated with affordable and sustainable energy. The course starts with basic concepts in materials science and engineering, with special attention paid to the origin of size effects in controlling the properties of nanomaterials. Then a range of materials issues related to development of renewable energy resources and sustainable energy technologies will be discussed. Topics to be covered include: photovoltaic materials and solar energy conversion; thermoelectric materials; materials for electrical energy storage and generation; materials for hydrogen production; piezoelectric energy harvesting; and materials for other emerging energy processes.
Fundamentals of combustion and pollutant formations in application to internal combustion engines, turbines, and fire safety. Concepts include flame structure, flame speed, flammability,ignition, reaction kinetics, nonequillibrium processes, diffusion flames, and boundary layer combustion. Additional specific emphasis on combustion modeling, green approaches to energy production, and biofuels.
Introduction to scientific principles associated with sustainable energy technologies. Topics include: thermodynamic laws and engineering fundamentals in energy processes, thermodynamic energy conversion, wind and geothermal energy, photovoltaics, ocean thermal energy conversion, electrochemical energy, biomass, and selected emerging energy technologies.
Advanced Heat Transfer is one of the ore courses for graduate students to build the foundation and knowledge for the subsequent studies of specialized subjects. This course mainly comprises two parts: thermal conduction and convection. The thermal conduction part covers conduction formulations, analytical methods, and numerical technique to solve the multidimensional steady-state and transient conduction problems. The convection part covers the fundamental concepts of convection, governing equations, boundary layers and analytical solutions for external and internal flows, natural convection, boiling and condensation heat transfer.
Pre-req: MECH.3820 Heat Transfer, or Permission of instructor.
Conservation equations. Heat transfer in laminar and turbulent boundary layer and duct flow. Free convection. Convective mass transfer.
This course is focused on combustion modeling and computational combustion. It will introduce methods for modeling laminar and turbulent premixed and non-premixed flames, as well as particulate combustion. Specific emphasis will be placed on the theory and derivation of the methods, their implementation, and the use of existing computational tools. Models will include combustion kinetics, convective and diffusive transport, equilibrium, simple reactors, canonical premixed and non-premixed flames, and methods for treating turbulent flows. Practical applications include internal combustion engines and gas turbines.
Pre-Reqs: MECH.5340 Green Combustion and Biofuels
This course specializes in obtaining practical solutions for applied and industrial heat transfer problems related to device development and production processes. Topics include review of heat transfer modes (i.e. conduction, convection and radiation), transport phenomena in material processing and manufacturing, analytical models and numerical simulations Representative problems include curing of polymers, thermal conditioning of human body, food packaging and long-term food preservation, thermal management of electrical and electronic equipment, control of water vapor and pollutant transfer, material processing, and heat and mass exchangers.
This course focuses on teaching the primary techniques for cooling electronics, and methods for modeling their performance. Heat-transfer fundamentals: conduction, convection, radiation, phase change, and heat transfer across solid interfaces. Heat-generating electronic equipment: ICs, power converters, circuit cards and electrical connectors. Thermal management equipment: heat sinks, interface materials, heat spreaders including liquid loops, and air movers. System design: system packaging architectures, facilities, system analysis. Advanced Topics: spray cooling, refrigeration
The primary objective of this course is to prepare upper-level engineering students to effectively solve problems directly related to the fundamental science and engineering of thermodynamic systems. The course expands upon the first and second laws of thermodynamics. A significant emphasis is placed on the concepts of entropy generation and its transport mechanisms with respect to single-phase, multi-phase, chemically reacting and non-reacting systems. The methods of entropy generation minimization for commonly studied thermodynamic systems are discussed.
This course provides the analytical background for the fundamental understanding of vibration analysis, modeling and testing of mechanical systems. The course starts with an overview of the concepts in vibrations and later builds an in-depth understanding of the vibrations of single degree of freedom and multi degree of freedom systems. Both free and forced vibrations of these systems under steady-state and transient mechanical excitations will be investigated. The important concepts of modal analysis and vibration measurement methods will be studied. The continuous system modeling, nonlinear and random vibrations will also be touched upon.
The course will review the fundamentals of probability and statistics, and introduce the methodologies that are commonly adopted in mechanical engineering domain. The concepts of uncertainty, confidence and risk of engineering decision-making will be emphasized. Specific topic areas will include: random vibration and analysis, random data processing, probability evolution, uncertainty quantification in system modeling, model validation and verification, data fusion and model updating, Bayesian inference and statistical learning. Course assignments will be primarily deployed in Matlab environment.
The purpose of this course is to give a broad introduction to Micro-electro-mechanical Systems (MEMS) technology, and will provide graduate students in mechanical, electrical, manufacturing and related engineering disciplines with necessary fundamental knowledge and experience in the design, manufacture, and packaging of microsystems. The topics include basic sensing and actuating principles, modeling of electromechanical components, material properties, fabrication technologies, process integration, system design, and packaging of MEMS and microsystems. The course will also cover current literature, MEMS markets and applications. The course will be a combination of lectures, case studies and homework assignments. The students are expected to possess prerequisite knowledge in college mathematics, physics, and chemistry, as well as in engineering subjects such as fundamental materials science, electronics, thermal-fluid, and machine design.
Matrix-based classical and modern techniques are applied to the dynamics of control systems. Design of controllers, and full and reduced-order observers. Introduction to optimal control and Kalman filters.
Our world is increasingly becoming more connected, with multiple natural and engineered entities operating in a common space, and possessing the capability to sense, react to, and manipulate the physical world around us. Many modern world systems such as the traffic networks, multi-robot systems, stock exchanges, and even human societies, exist as multi-agent systems (or system-of-systems). In this course, we will discuss approaches to model, quantify, and influence (or control) the global behaviors of these multi-agent systems. The course will provide introductory dynamic modeling techniques for multi-agent systems. The course will provide introductory dynamic modeling techniques for multi-agent systems, discuss information-theoretic measures for quantifying the behaviors of these systems, and provide techniques to design stat-of-the a-art controllers for these systems.
Design aspects of Microsystems (MEMS). Topics covered include working principles of various microsystems, analytical and numerical modelling, and case studies. Course incorporates lectures, computer laboratories and term project presentations.
This course will introduce and examine classical and modern theoretical and computational two and three dimensional aerodynamics and aeroelastic modeling with applications in wind and subsonic aero/hydrodynamics applications. In addition, wind and meteorological science as well as simple FEM structural modeling and coupling concepts will be examined. The class will comprise scheduled lectures and discussions. Students will be expected to perform presentations and directed projects which involve computer programming.
Derivation of governing equations; Scale analysis; Role of relative dimensionless parameters; Discretization of the governing equations; Finite-Difference, Finite-Volume, and/or Finite Element Techniques; Solutions of several problems in micro/meso/macro scale applications.
Applications of CFD methods to the solution of multi-phase problems such as: heat pipes, fuel cells, nanofluidics, material processing and manufacturing, etc.
Pre-req: 22.559 Multi-Scale Computational Fluid Dynamics I (CFD).
Topics covered include the theory of stress, kinematics of strain, Hooke's Law, work and energy, equations of stress equilibrium, Navier's equations, strain compatibility, and the Beltrami-Michell equations. Problems for uniformly varying 3-D states of stress, torsion, and plane deformation are studied. Axisymmetric deformation is considered. Green's function solutions for plane and axisymmetric problems are studied.
The time-dependent material behavior and stress-wave propagation in solids. Topics will be selected from applied mechanics and materials science, e.g. mathematical and physical description of one dimensional and three dimensional waves in solids, strain rate-dependent behavior of materials, viscoelasticity of materials and its time-and frequency-domain descriptions including relaxation and creep, introduction to shock waves, introduction to experimental techniques for material characterization in dynamic environment such as ultrasonic testing, split Hopkinson bar technique, dynamic mechanical analysis, and drop tower and impact experiments.
Focuses on methodologies used by world class companies to guide the design and development of high quality, low cost products in the most timely manner through the use of analytical tools in case studies: Topics include: new product creation strategy and process, organizational aspects of multi-disciplinary design teams, concurrent project management, and structural methodologies for identifying customer requirements and manufacturing process design, control and selection. In particular, focus is on the interrelationship of CE, manufacturing and Quality tools and methodologies and how they contribute in determining the appropriate level of product/process quality and design efficiency.
Ferrous and non-ferrous, plastic and ceramic material behavior and properties. Electronic manufacturing processes, including printed circuit board fabrication, population and soldering. Castings, materials forming and shaping. Surface preparations and heat treatment. Additive manufacturing and fabrication of composites.
(3-0)3 Design for Reliability Engineering provides a systematic approach to the design process that is focused on reliability and the physics of failure. It provides the requirements on how, why, and when to use the wide variety of reliability engineering tools available in order to achieve the reliability goals of the total design cycle. Topics include the product design cycle and customer requirements, analytical physics, reliability statistics, accelerated testing, accelerated reliability growth, industry standard predictive models, design reliability assessment, reliability FMEA, product risk evaluation and thermodynamic reliability.
Concepts of Robust Design and statistical Design Of Experiments (DOE) as applied to the design and manufacturing of new high technology products. Classical and current methodologies of DOE including Full Factorial, Fractional Factorial, Taguchi, Central Composite and Yates Algorithms. The course will also provide for different methods for experimental design and analysis, including average and variability analysis. Commercial software packages and case studies using industrial experiments will be used to illustrate the material.
Skills are developed enabling engineers to be effective decision makers and technical leaders in an environment where technology management, business operations and strategies for contract compliance are critical to achieving competitive advantage. Elements of the Project Planning and Control System are presented along with analytical methods important for maintaining Projects on schedule and within budget.
Common robotics joints and robotics classification. Planes of motion and fold lines. Robotics capability. Forward and inverse kinematics and the RobSim software package. Trajectory planning and elementary obstacle avoidance. Robotics dynamics and feasible trajectory evaluation. Design of the control system for the non-linear robotics problem. Classroom studies are followed by hands-on applications in the Automated Manufacturing Assembly and Robotics Laboratory.
Fundamental equations of fluid motion, kinematics, vorticity, circulation, Crocco's theorem, Kelvin's theorem, Helmholtz's velocity laws, secondary flows. Stream function, velocity potential, potential flows. Unsteady Bernoulli equation, gravity water waves.
3-0)3 Fundamentals of subsonic and supersonic aerodynamics. Atmosphere models, air-speed measurement, and aerodynamic heating. Circulation, downwash, and three-dimensional wing theory. Airfoil data, and lift and drag of aircraft components. Compressibility effects on drag, and airfoils and wings in supersonic and hypersonic flow. Aircraft performance calculations. Fundamentals of orbital mechanics. Special project required in supersonic wind tunnel testing or orbital mechanics.
Physical Properties of the Ocean Environment, ocean wave mechanics, computer solutions of wave interactions, physical modeling of marine vehicles and coastal environments (modeling and scaling laws), resistance and propulsion of surface ships and submarines, and forces on floating and submerged objects such as buoys, pipelines, piers, and breakwaters. Research report required summarizing some aspect of ocean engineering.
This course introduces the techniques of engineering design optimization, leading into topics for Multidisciplinary Design Optimization (MDO). The application of these techniques to solve engineering design problems is also presented. The course starts with the basic concepts about the implementations of numerical optimization techniques, The course then proceeds to investigate approaches for multiobjective and multidisciplinary optimization based upon knowledge of the basic techniques.
The Galerkin finite element technique is first applied to a simple one-dimensional steady state convection/conduction equation. The element equations are derived and the assembly process is described. These concepts are then extended to two-dimensional transient problems. A finite element package is used to solve a variety of fluid flow problems. All course materials are available on the WWW.
Quantification of structure-property relationships requires application of solid mechanics concepts to materials microstructure. Using micromechanics approach, the course focuses on the deformation and fracture behavior of metals, ceramics, composites and polymerics. Topics include: elastic behavior, dislocations, crystal plasticity, strengthening mechanisms, composite materials, glassy materials, creep and creep fracture, tensile fracture, and fatigue.
The prediction, analysis, and prevention of failure in mechanical design is covered. Failure mechanisms such as creep, plastic deformation, crack propagation, cyclic fatigue, thermal fatigue, fretting and galling are considered. Theories of failure such as Colomb-Mohr, Beltrami, and Huber-Von Mises are used to predict failure. Cumulative damage theories such as those of Gatts, Corten and Dolan, Marin, and Manson will be studied. Statistical methods of analysis and test data interpretation are studied. Materials such as steels, aluminum alloys, solders, plastics, and composites will be considered.
Analysis of anisotropic lamina and laminated composites. Methods of fabrication and testing of composites. Other topics include environmental effects, joining and machining.
Methods of fabrication. Analysis of forming, fiber orientation, permeability, polymer rheology, flow through porous media, consolidation, cure kinetics, combined flow and cure models. Effect of manufacturing defects
Characterization of composite material properties and performance. Constituent testing of matrix and reinforcement materials. Characterization of microstructure. Mechanical property testing according to ASTM standards. Interpretation of test results.
Curricula Practical Training. "Variable credit course, student chooses appropriate amount of credits when registering."
Study of advanced topics in thermo-fluid energy systems and processes not covered in the regular curriculum. Contents may vary from year to year.
Study of advanced topics in vibrations/dynamics not covered in the regular curriculum. Contents may vary from year to year.
Study of advanced topics in finite element methods not covered in the regular curriculum. Contents may vary from year to year.
3-0)3 Prerequisite: 22.515 Matrix linear algebra. Solution of algebraic equations using Gaussian elimination and decomposition variants. Eigenanalysis using various direct similarity techniques and simultaneous vector iteration methods. Algorithm development of solution techniques. Solution techniques for structural mechanics, dynamic systems and stability. Models developed using MATLAB.
Nonlinear finite element methods as applied to large deformation and nonlinear material behavior are the focus of this course. Various classical and contemporary constitutive models and their implementation in the finite element method are considered. Procedures for determining material parameters from a matrix of material test results are investigated.
Overall behavior of composite materials and metamaterials. The fundamentals of homogenization for elastic composites, variational principles and energy-based bounds, and dynamic homogenization concepts and techniques are introduced. Voigt and Reuss mixture rules are discussed and expanded to dilute distribution, self-consistent, Mori-Tanaka, and periodic approaches with examples from particulate, whisker, platelet, and fiber-reinforced composites. The effects of damage and cracks and the concept of metamaterial are discussed and examples are presented. The use of finite element calculations for static, nonlinear, and dynamic homogenization will be discussed and the application to non-mechanical and coupled problems are explored.
This course on nanoscale transport phenomena constitutes a bridge between existing fluid and heat transfer courses in multiple disciplines and emerging nanoscale science and engineering concepts to reflect the forefront of nanomanufacturing. The course is designed to incorporate recent advances in manufacturing polymer-based nanodevices. Key issues of the implementation and maintenance costs for fabrication will be addressed. Hands-on laboratory experiments will be performed to complement the lectures with the ultimate goal of designing and building a complete nanodevice at the end of the course. The course will prepare graduates for employment focused on designing and manufacturing nano/microfluidic systems, lab-on-a-chip devices, electronics devices, medical devices, and other emerging.
The application of fracture mechanics and approaches for exploring the impact of cracks on engineering structures. Topics will be chosen from a range of mathematical techniques, applied mechanics, and materials science, e.g. theoretical strength, stress concentration, linear and nonlinear fracture mechanics, stress singularity, fracture modes, energy methods, stable and unstable crack growth thermal cracks, crack tip plastic zone, Dugdale and Irwin models, the R-curve, power-law materials, and the J-integral. Students should have a good understanding of the principles of strengths of materials and be able to apply these principles to the solution of problems in solid mechanics. The associated knowledge in complex variables and partial differential equations will be reviewed as needed.
MS Thesis Research
Doctoral Dissertation Research
Masters and doctoral students who have attained the required number of thesis
credits may enroll in:
Continued Grad Research
Continuing Graduate Research
Study of the key areas in multiple engineering disciplines including Mechanical, Electrical, Software, Systems and Optical. Students are introduced to weekly topics and then work in multidiscipline teams to solve technical assignments. Topics covered include: Concept of Operations and Requirements development, integration, test and verification, vibration/shock analysis, thermal analysis, power supply design, digital electronics & FPGA, intro to optical engineering, SCRUM planning, continuous integration and UML/SW design. Content may vary year to year. This course is part of the Engineering Leadership Development Program (ELDP) and team taught by industry experts at BAE Systems.
Introduction and analysis of complex systems aligned with the key product lines of BAE Systems. Students are introduced to multiple types of systems and then work in multidiscipline teams to solve technical assignments. The systems covered include but are limited to: Electronic Warfare (EW), Communications Electronic Attack (Comms EA), Wide Area Airborne Surveillance (WAAS), Signal Intelligence (SIGINT), RADAR Navigation, Radio Communications, and Infrared Countermeasures (IRCM). Content may vary year to year. This course is part of the Engineering Leadership Development Program (ELDP) and team taught by industry experts at BAE Systems.
Study of project management concepts, product development methods, transition to operations and new business capture. Topics covered include but are not limited to risks and opportunities management, earned value management, lean product development, business strategy, design for manufacturability/maintainability (DFM^2), and request for information (RFI) response. Content may vary year to year. This course is part of the Engineering Leadership Development Program (ELDP) and team taught by industry experts at BAE Systems.
Curricular Practical Training (CPT) is a training program for doctoral students in Engineering. Participation in CPT acknowledges that this an integral part of an established curriculum and directly related to the major area of study or thesis.