First and Second Law of Thermodynamics for closed and open systems. Evaluation of thermodynamic properties of pure substances using steam tables, equation of state, and property relationships. Thermodynamic analysis of processes and systems and of complete cycles for power generation and refrigeration. Entropy, Tds equations, isentropic efficiency, availability and exergy analysis. Non-reacting ideal gas mixtures.
Kinematics and Kinetics of Machines
Dynamics of particles, systems of particles and rigid bodies are studied in this course. In the first part of the course, kinematic analysis of position, velocity and acceleration of particles in rectilinear and curvilinear motions are studied. The Newton's principle and energy principle are introduced and applied to study kinetics of particles. Motion and dynamic response of rigid bodies are analyzed using impulse-momentum theorem, angular momentum theorem and energy principles. Description of the motion of rigid bodies using relative motions and moving coordinate systems are studied to solve kinematics and kinetics problem of rigid bodies. Developing ability to model and analyze dynamic systems found in the real-world applications is emphasized in this course.
Introduction of the concepts of displacement, strain, stress and constitutive equations of elastic solids in one, two and three dimensions. Study of material properties and solutions of one-dimensional structure members in tension, bending and torsion. Introduction of analytical, computational and experimental methods for analyzing mechanics problems of elastic solids.
Circuits and Sensing Lab
Analysis of linear networks, AC and DC electric circuits that involve multiple independent sources, using Ohm's Law, Kirchhoff's voltage and current laws, Thevenin's and Norton's theorems, and the maximum power transfer theorem. Also explored, is the steady state and transient behavior of capacitors and inductors. Applications to mechanical measurements.
Ordinary Differential Equations
Study of first-order differential equations (linear, separable, exact, homogenous), second-order linear homogeneous differential equations with constant coefficients, Euler equations, higher-order linear differential equations. Covers linear dependence for solutions of a second-order linear homogeneous differential equation, Wronskians, the method of undetermined coefficients, the method of variation of parameters, series solutions of second-order linear differential equations, regular singular points, and the Laplace transform.
This course readies students for the kinds and purposes of professional writing they will do in their professional careers in technology, science,and engineering. Writing in these fields supports design processes, research studies, problem solving, and business transactions. In studying the theory and practice of writing in specialized environments, students will develop strategies for adjusting content, style, design, and delivery method to different rhetorical contexts. This course often operates as a writing intensive workshop where student participation is necessary and vital. This course is not a review of basic composition or grammar skills, although students will learn techniques for successful revising and editing
Basic fluid mechanics concepts of continuum, fluid particle, control volume, and fluid kinematics and dynamics. Continuity and momentum balances for laminar and turbulent flow with applications and design problems. Similitude, modeling and boundary layer concepts.
Material Selection, review of stress/strain relationships and force/deflection relationships. Static and dynamic flow theories. Design and selection of some machine elements including but not limited to: shafts, bearings, gears, springs, and brakes.
This course covers the numerical methods commonly used in engineering for nonlinear equations, coupled linear equation sets, differential equations, eigen-values and eigen-vectors, curve fitting, numerical differentiation, and numerical integration. Use of MATLAB and programming.
System Dynamics and Vibrations
Modeling and Analysis of dynamic systems using Newton's second law and Lagrange Methods. Develop and solve equations of motion. Formulate and solve free and forced vibration problems for damped and undamped systems in both time and frequency domain. Understand physical coordinate systems for lumped multi-degree-of-freedom mechanical systems,as well as for basic lumped fluid and electrical systems. Derive governing differential equation models for such systems, including mixed-discipline systems (i.e., electro-mechanical), from physics-based principles. Use of Matlab to solve eigenvalue problems.