INTRO TO MACHINING

Introduction to the manual machine operation, CNC fabrication and usage of basic hand tools, band/hack saws, drill presses, grinders and sanders.

• F 9:10 a.m.-11 a.m.
• F 11:05 a.m.-12:55 p.m.
• F 2:10 p.m.-4 p.m.
• F 9:10 a.m.-11 a.m.
• F 11:05 a.m.-12:55 p.m.
• F 2:10 p.m.-4 p.m.
• 1 points

MECHANICAL ENGINEERING LAB I

Experiments in instrumentation and measurement: optical, pressure, fluid flow, temperature, stress, and electricity; viscometry, cantilever beam, digital data acquisition. Probability theory: distribution, functions of random variables, tests of significance, correlation, ANOVA, linear regression.

• T 1:10 p.m.-3:55 p.m.
• R 1:10 p.m.-3:55 p.m.
• Instructor: James Hone
  CULPA: 11 h-index: 124 Info
• 3 points

INTRO TO MECHANCIS OF FLUIDS

INTRO TO MECHANICS OF FLUIDS

Basic continuum concepts. Liquids and gases in static equilibrium. Continuity equation. Two-dimensional kinematics. Equation of motion. Bernoulli’s equation and applications. Equations of energy and angular momentum. Dimensional analysis. Two-dimensional laminar flow. Pipe flow, laminar, and turbulent. Elements of compressible flow.

• TR 10:10 a.m.-11:25 a.m.
• Instructor: Vijay Vedula
  h-index: 17 Info
• 3 points

INTRO TO MECHANCIS OF FLUIDS

FLUIDS RECITATION

Basic continuum concepts. Liquids and gases in static equilibrium. Continuity equation. Two-dimensional kinematics. Equation of motion. Bernoulli’s equation and applications. Equations of energy and angular momentum. Dimensional analysis. Two-dimensional laminar flow. Pipe flow, laminar, and turbulent. Elements of compressible flow.

• F 1 p.m.-2 p.m.
• Instructor: Vijay Vedula
  h-index: 17 Info
• 0 points

THERMODYNAMICS

Classical thermodynamics. Basic properties and concepts, thermodynamic properties of pure substances, equation of state, work, heat, the first and second laws for flow and nonflow processes, energy equations, entropy, and irreversibility. Introduction to power and refrigeration cycles.

• TR 8:40 a.m.-9:55 a.m.
• Instructor: Arvind Narayanaswamy
  CULPA: 9 h-index: 26 Info
• 3 points

THERMODYNAMICS

THERMO RECITATION

Classical thermodynamics. Basic properties and concepts, thermodynamic properties of pure substances, equation of state, work, heat, the first and second laws for flow and nonflow processes, energy equations, entropy, and irreversibility. Introduction to power and refrigeration cycles.

• F 9 a.m.-10 a.m.
• Instructor: Arvind Narayanaswamy
  CULPA: 9 h-index: 26 Info
• 0 points

COMPUTER GRAPHICS & DESIGN

Introduction to drafting, engineering graphics, computer graphics, solid modeling, and mechanical engineering design. Interactive computer graphics and numerical methods applied to the solution of mechanical engineering design problems.

• MW 8:40 a.m.-9:55 a.m.
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Sinisa Vukelic
  CULPA: 2 h-index: 11 Info
• 3 points

MACHINE DESIGN

Computer-aided analysis of general loading states and deformation of machine components using singularity functions and energy methods. Theoretical introduction to static failure theories, fracture mechanics, and fatigue failure theories. Introduction to conceptual design and design optimization problems. Design of machine components such as springs, shafts, fasteners, lead screws, rivets, welds. Modeling, analysis, and testing of machine assemblies for prescribed design problems. Problems will be drawn from statics, kinematics, dynamics, solid modeling, stress analysis, and design optimization.

• TR 10:10 a.m.-11:25 a.m.
• Instructor: Yevgeniy Yesilevskiy
  h-index: 7 Info
• 3 points

Mechanics of Solids for Mechanical Engin

Introduction to the mechanics of solids with an emphasis on mechanical engineering applications. Stress tensor, principal stresses, maximum shear stress, stress equilibrium, infinitesimal strain tensor, Hooke’s law, boundary conditions. Introduction to the finite element method for stress analysis. Static failure theories, safety factors, fatigue failure.  Assignments include finite element stress analyses using university-provided commercial software.

• MW 11:40 a.m.-12:55 p.m.
• Instructor: Kristin Myers
  CULPA: 3 h-index: 25 Info
• 3 points

ENG DES-CONCPT/DESIGN GENERATN

A preliminary design for an original project is a prerequisite for the capstone design course. Will focus on the steps required for generating a preliminary design concept. Included will be a brainstorming concept generation phase, a literature search, incorporation of multiple constraints, adherence to appropriate engineering codes and standards, and the production of a layout drawing of the proposed capstone design project in a Computer Aided Design (CAD) software package. Note: MECE students only.

• MW 1:10 p.m.-3:40 p.m.
• Instructor: Yevgeniy Yesilevskiy
  h-index: 7 Info
• 3 points

Introduction to Continuous Control Syste

Intr to Continuous Contro

Introduction to continuous systems with the treatment of classical and state-space formulations. Mathematical concepts, complex variables, integral transforms and their inverses, differential equations, and relevant linear algebra. Classical feedback control, time/frequency domain design, stability analysis, Laplace transform formulation and solutions, block diagram simplification and manipulation, signal flow graphs, modeling physical systems and linearization. state-space formulation and modeling, in parallel with classical single-input single-output formulation, connections between the two formulations. Transient and steady state analysis, methods of stability analysis, such as root locus methods, Nyquist stability criterion, Routh Hurwitz criterion, pole/zero placement, Bode plot analysis, Nichols chart analysis, phase lead and lag compensators, controllability, observability, realization of canonical forms, state estimation in multivariable systems, time-variant systems. Introduction to advanced stability analysis such as Lyapunov stability and simple optimal control formulation.  May not take for credit if already received credit for EEME E4600.

• W 4:10 p.m.-6:40 p.m.
• Instructor: Homayoon Beigi
  Info
• 3 points

PROJECTS IN MECH ENGINEERING

Independent project involving theoretical, computational, experimental, or engineering design work. May be repeated, but no more than 3 points may be counted toward degree requirements. Projects requiring machine-shop use must be approved by the laboratory supervisor. Students must submit both a project outline prior to registration and a final project write-up at the end of the semester.

• Instructor: Sunil Agrawal
  Wikipedia h-index: 65 Info
• Instructor: P J Schuck
  Info
• Instructor: Gerard A Ateshian
  Info
• Instructor: Michael Burke
  h-index: 22 Info
• Instructor: Vijay Vedula
  h-index: 17 Info
• Instructor: Matei T Ciocarlie
  Info
• Instructor: James Hone
  CULPA: 11 h-index: 124 Info
• Instructor: Jeffrey W Kysar
  CULPA: 9 h-index: 37 Info
• Instructor: Qiao Lin
  h-index: 41 Info
• Instructor: Bianca N Howard
  Info
• Instructor: Vijay Modi
  CULPA: 3 h-index: 40 Info
• Instructor: Kristin Myers
  CULPA: 3 h-index: 25 Info
• Instructor: Arvind Narayanaswamy
  CULPA: 9 h-index: 26 Info
• Instructor: Harry West
  CULPA: 1 h-index: 1 Info
• Instructor: Sinisa Vukelic
  CULPA: 2 h-index: 11 Info
• Instructor: Mary Boyce
  Info
• Instructor: Hod Lipson
  Wikipedia h-index: 79 Info
• Instructor: Karen Kasza
  h-index: 17 Info
• Instructor: Yevgeniy Yesilevskiy
  h-index: 7 Info
• Instructor: Adrian Buganza Tepole
  Info
• 1-3 points

FIELDWORK

May be repeated for credit, but no more than 3 total points may be used toward the 128-credit degree requirement. Only for MECE undergraduate students who include relevant on-campus and off-campus work experience as part of their approved program of study. Final report and letter of evaluation required. Fieldwork credits may not count toward any major core, technical, elective, and nontechnical requirements. May not be taken for pass/fail credit or audited.

• Instructor: Arvind Narayanaswamy
  CULPA: 9 h-index: 26 Info
• 1-2 points

MECHATRONICS & EMBEDDED MICRO

Enrollment limited to 12 students. Mechatronics is the application of electronics and microcomputers to control mechanical systems. Systems explored include on/off systems, solenoids, stepper motors, DC motors, thermal systems, magnetic levitation. Use of analog and digital electronics and various sensors for control. Programming microcomputers in Assembly and C. Lab required.

• R 7 p.m.-9:30 p.m.
• Instructor: Enrico Zordan
  h-index: 5 Info
• 3 points

ENERGY SOURCES AND CONVERSION

ENERGY-SOURCES AND CONVERSION

Energy sources such as oil, gas, coal, gas hydrates, hydrogen, solar, and wind. Energy conversion systems for electrical power generation, automobiles, propulsion and refrigeration. Engines, steam and gas turbines, wind turbines; devices such as fuel cells, thermoelectric converters, and photovoltaic cells. Specialized topics may include carbon-dioxide sequestration, cogeneration, hybrid vehicles and energy storage devices.

• M 4:10 p.m.-6:40 p.m.
• Instructor: Vijay Modi
  CULPA: 3 h-index: 40 Info
• 3 points

MICROELECTROMECHANICAL SYSTEMS

MEMS markets and applications; scaling laws; silicon as a mechanical material; Sensors and actuators; micromechanical analysis and design; substrate (bulk) and surface micromachining; computer aided design; packaging; testing and characterization; microfluidics.

• R 1:10 p.m.-3:40 p.m.
• Instructor: P J Schuck
  Info
• 3 points

Lab-on-a-Chip and Microrobotic Devices

Lab-Chip & Microrobot Dev

Introduction to lab-on-a-chip and microrobotic devices with a focus on biomedical applications. Microfabrication techniques. Basics of micro- and nanoscale transport phenomena. Microsensors and microactuators. Microfluidic devices. Lab-on-a-chip systems. Microrobots.

• W 4:10 p.m.-6:40 p.m.
• Instructor: Qiao Lin
  h-index: 41 Info
• 3 points

INTRO TO COMBUSTION

Thermodynamics and kinetics of reacting flows; chemical kinetic mechanisms for fuel oxidation and pollutant formation; transport phenomena; conservation equations for reacting flows; laminar nonpremixed flames (including droplet vaporization and burning); laminar premixed flames; flame stabilization, quenching, ignition, extinction, and other limit phenomena; detonations; flame aerodynamics and turbulent flames.

• R 1:10 p.m.-3:40 p.m.
• Instructor: Michael Burke
  h-index: 22 Info
• 3 points

Building Energy Modeling and Simulation

Bldg Energy Modeling/Simu

Review of building energy modeling techniques for simulating time-varying demand. Detailed Physics-based models, gray-box and black-box modeling. Static and dynamic models of building energy systems. Deterministic and Stochastic occupancy modeling. Modeling of control and dispatch of HVAC and local energy systems. Implementation of models in Energyplus and Modelica platforms. Modeling of low and net-zero carbon buildings and local energy systems.

• T 1:10 p.m.-3:40 p.m.
• Instructor: Bianca N Howard
  Info
• 3 points

MODELING & ID OF DYNAMIC SYST

Generalized dynamic system modeling and simulation. Fluid, thermal, mechanical, diffusive, electrical, and hybrid systems are considered. Nonlinear and high order systems. System identification problem and Linear Least Squares method. State-space and noise representation. Kalman filter. Parameter estimation via prediction-error and subspace approaches. Iterative and bootstrap methods. Fit criteria. Wide applicability: medical, energy, others. MATLAB and Simulink environments.

• R 7 p.m.-9:30 p.m.
• Instructor: Nicolas W Chbat
  Info
• 3 points

Materials Selection for Mechanical Desig

Materials for Mechanical

Understanding the properties and behavior of materials is critical to the mechanical design and subsequent function of any product or part – including wide-ranging applications from aircraft fuselage to robotic manipulators to flexures to telescope mirrors to flywheels to sports equipment to thermal insulators. This course provides a fundamental understanding of the microstructure of a range of materials (metals, polymers, ceramics, composites, hybrid) and the connection to design-determining or limiting properties including stiffness, expansion, thermal expansion, strength, energy storage and dissipation, toughness, and fatigue. Objective functions which are used to determine a “material index” for the selection of the best materials for use in a particular mechanical design are developed, underscoring the combined role of material properties and loading conditions in optimizing for materials selection. For example, take the case of determining a material index for selecting a best set of materials for a lightweight, stiff beam – how do the material density and elastic modulus together with the beam geometry and loading conditions factor in to determining the material index for materials selection? Note that the resulting material index for selecting best materials for a lightweight stiff beam (bending) is different than that for a lightweight stiff rod (tension). The material indices provide the framework for construction and use of materials selection charts to rapidly compare the effectiveness of wide-ranging materials for different applications.

• MW 11:40 a.m.-12:55 p.m.
• Instructor: Mary Boyce
  Info
• 3 points

DATA SCIENCE FOR MECHANICAL SYSTEMS

Introduction to the practical application of data science, machine learning, and artificial intelligence and their application in Mechanical Engineering. A review of relevant programming tools necessary for applying data science is provided, as well as a detailed review of data infrastructure and database construction for data science. A series of industry case studies from experts in the field of data science will be presented.

• MW 8:40 a.m.-9:55 a.m.
• Instructor: Changyao Chen
  Info
• 3 points

Continuous Control Systems

Introduction to continuous systems with the treatment of classical and state-space formulations. Mathematical concepts, complex variables, integral transforms and their inverses, differential equations, and relevant linear algebra. Classical feedback control, time/frequency domain design, stability analysis, Laplace transform formulation and solutions, block diagram simplification and manipulation, signal flow graphs, modeling physical systems and linearization. state-space formulation and modeling, in parallel with classical single-input single-output formulation, connections between the two formulations. Transient and steady state analysis, methods of stability analysis, such as root locus methods, Nyquist stability criterion, Routh Hurwitz criterion, pole/zero placement, Bode plot analysis, Nichols chart analysis, phase lead and lag compensators, controllability, observability, realization of canonical forms, state estimation in multivariable systems, time-variant systems. Introduction to advanced stability analysis such as Lyapunov stability and simple optimal control formulation.  May not take for credit if already received credit for EEME E3601.

• R 4:10 p.m.-6:40 p.m.
• Instructor: Ali Dadgar
  Info
• 3 points

INTRODUCTION TO ROBOTICS

Overview of robot applications and capabilities. Linear algebra, kinematics, statics, and dynamics of robot manipulators. Survey of sensor technology: force, proximity, vision, compliant manipulators. Motion planning and artificial intelligence; manipulator programming requirements and languages.

• T 4:10 p.m.-6:40 p.m.
• Instructor: Sunil Agrawal
  Wikipedia h-index: 65 Info
• 3 points

ADV MANUFACTURING PROCESSES

Principles of nontraditional manufacturing, nontraditional transport and media. Emphasis on laser assisted materials processing, laser material interactions with applications to laser material removal, forming, and surface modification. Introduction to electrochemical machining, electrical discharge machining and abrasive water jet machining.

• W 4:10 p.m.-6:40 p.m.
• Instructor: Sinisa Vukelic
  CULPA: 2 h-index: 11 Info
• 3 points

ROBOTICS STUDIO

Hands-on studio class exposing students to practical aspects of the design, fabrication, and programming of physical robotic systems. Students experience entire robot creation process, covering conceptual design, detailed design, simulation and modeling, digital manufacturing, electronics and sensor design, and software programming.

• W 11:40 a.m.-12:55 p.m.
• Instructor: Hod Lipson
  Wikipedia h-index: 79 Info
• 3 points

MORPHOGENESIS:BIOL MAT SHP/STR

Introduction to how shape and structure are generated in biological materials using engineering approach emphasizing application of fundamental physical concepts to a diverse set of problems. Mechanisms of pattern formation, self-assembly, and self-organization in biological materials, including intracellular structures, cells, tissues, and developing embryos. Structure, mechanical properties, and dynamic behavior of these materials. Discussion of experimental approaches and modeling. Course uses textbook materials as well as collection of research papers.

• R 1:10 p.m.-3:40 p.m.
• Instructor: Karen Kasza
  h-index: 17 Info
• 3 points

Aerospace Human Factors Engineering

Engineering fundamentals and experimental methods of human factors design and evaluation for spacecraft which incorporate human-in-the-loop control. Develop understanding of human factors specific to spacecraft design with human-in-the-loop control. Design of human factors experiments utilizing task analysis and user testing with quantitative evaluation metrics to develop a sate and high-performing operational space system. Human-centered design, functional allocation and automation, human sensory performance in the space environment, task analysis, human factors experimental methods and statistics, space vehicle displays and controls, situation awareness, workload, usability, manual piloting and handling qualities, human error analysis and prevention, and anthropometrics.

• F 1:10 p.m.-3:40 p.m.
• Instructor: Michael J Massimino
  Wikipedia Info
• 3 points

MS PROJECTS IN MECH ENGINEER

Master's level independent project involving theoretical, computational, experimental, or engineering design work. May be repeated, subject to Master's Program guidelines. Students must submit both a project outline prior to registration and a final project write-up at the end of the semester.

• Instructor: Sunil Agrawal
  Wikipedia h-index: 65 Info
• Instructor: Gerard A Ateshian
  Info
• Instructor: Michael Burke
  h-index: 22 Info
• Instructor: Matei T Ciocarlie
  Info
• Instructor: James Hone
  CULPA: 11 h-index: 124 Info
• Instructor: Bianca N Howard
  Info
• Instructor: Vijay Modi
  CULPA: 3 h-index: 40 Info
• Instructor: Jeffrey W Kysar
  CULPA: 9 h-index: 37 Info
• Instructor: Karen Kasza
  h-index: 17 Info
• Instructor: Qiao Lin
  h-index: 41 Info
• Instructor: Hod Lipson
  Wikipedia h-index: 79 Info
• Instructor: Kristin Myers
  CULPA: 3 h-index: 25 Info
• Instructor: Arvind Narayanaswamy
  CULPA: 9 h-index: 26 Info
• Instructor: Mary Boyce
  Info
• Instructor: Vijay Vedula
  h-index: 17 Info
• Instructor: Sinisa Vukelic
  CULPA: 2 h-index: 11 Info
• Instructor: Adrian Buganza Tepole
  Info
• Instructor: Harry West
  CULPA: 1 h-index: 1 Info
• Instructor: Yevgeniy Yesilevskiy
  h-index: 7 Info
• 1-3 points

FIELDWORK

Only for ME graduate students who need relevant off-campus work experience as part of their program of study as determined by the instructor. Written application must be made prior to registration outlining proposed study program. Final reports required. May not be taken for pass/fail credit or audited. International students must consult with the International Students and Scholars Office.

• Instructor: Matei T Ciocarlie
  Info
• 1 points

ADVANCED MECHANICS OF FLUIDS

Eulerian and Lagrangian descriptions of motion. Stress and strain rate tensors, vorticity, integral and differential equations of mass, momentum, and energy conservation. Potential flow.

• W 1:10 p.m.-3:40 p.m.
• Instructor: Gerard A Ateshian
  Info
• 3 points

Finite Element Method for Fluid Flow and

FEM for Fluid Flow and FS

Solving convection-dominated phenomena using finite element method (FEM), including convection-diffusion equation, Navier-Stokes, equation for incompressible viscous flows, and nonlinear fluid-structure interactions (FSI). Foundational concepts of FEM include function spaces, strong and weak forms, Galerkin FEM, isoparametric discretization, stability analysis, and error estimates. Mixed FEM for Stokes flow, incompressibility and inf-sup conditions. Stabilization approaches, including residue-based variational multiscale methods. Arbitrary Lagrangian-Eulerian (ALE) formulation for nonlinear FSI, and selected advanced topics of research interest.

• T 4:10 p.m.-6:40 p.m.
• Instructor: Vijay Vedula
  h-index: 17 Info
• 3 points

INTRO-THEORY OF ELASTICITY I

Analysis of stress and strain. Formulation of the problem of elastic equilibrium. Torsion and flexure of prismatic bars. Problems in stress concentration, rotating disks, shrink fits, and curved beams; pressure vessels, contact and impact of elastic bodies, thermal stresses, propagation of elastic waves.

• M 9:10 a.m.-11:40 a.m.
• Instructor: Adrian Buganza Tepole
  Info
• 3 points

Nonlinear and Adaptive Control

Nonlinear dynamics: Euler-Lagrange equations, Hamilton’s principle, variational calculus; nonlinear systems: fundamentals, examples, stability Notions, linear systems and linearization, frequency domain analysis, discrete time systems, absolute stability, input-to-state stabililty, control design: control Lyapunov functions, sliding mode control, control barrier functions; adaptive control: self-tuning regular, model reference adaptive control, feedback linearization, extremum seeking control, model predictive control, observer design: extended, unscented, and mixture model Kalman filters, moving horizon estimation, high-gain observers; repetitive processes: iterative learning control, learning-adaptive control, repetitive control; optimal control: continuous setting, discrete time setting, constrained optimal control, linear matrix inequality (LMI) constraints, dynamic programming and backward recursion.

• M 4:10 p.m.-6:40 p.m.
• Instructor: Homayoon Beigi
  Info
• 3 points

GRADUATE RESEARCH AND STUDY I

Theoretical or experimental study or research in graduate areas in mechanical engineering and engineering science.

• Instructor: Gerard A Ateshian
  Info
• Instructor: Arvind Narayanaswamy
  CULPA: 9 h-index: 26 Info
• Instructor: Bianca N Howard
  Info
• Instructor: James Hone
  CULPA: 11 h-index: 124 Info
• Instructor: Kristin Myers
  CULPA: 3 h-index: 25 Info
• Instructor: Jeffrey W Kysar
  CULPA: 9 h-index: 37 Info
• Instructor: Michael Burke
  h-index: 22 Info
• Instructor: Vijay Modi
  CULPA: 3 h-index: 40 Info
• Instructor: Qiao Lin
  h-index: 41 Info
• Instructor: Matei T Ciocarlie
  Info
• Instructor: Vijay Vedula
  h-index: 17 Info
• Instructor: Sunil Agrawal
  Wikipedia h-index: 65 Info
• Instructor: Sinisa Vukelic
  CULPA: 2 h-index: 11 Info
• Instructor: P J Schuck
  Info
• Instructor: Karen Kasza
  h-index: 17 Info
• Instructor: Hod Lipson
  Wikipedia h-index: 79 Info
• Instructor: Mary Boyce
  Info
• Instructor: Adrian Buganza Tepole
  Info
• 1-6 points

GRADUATE SEMINAR

All doctoral students are required to complete successfully four semesters of the mechanical engineering seminar MECE E9500.

• F 11 a.m.-noon
• Instructor: Matei T Ciocarlie
  Info
• 0 points