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  • ME 6720: Manufacturing Optimization

    3.00 Credits
    Clemson University

    Identification, modeling and formulation of linear and network optimization models of manufacturing processes. Examination of network models that arise in manufacturing, energy, transportation and logistics: minimum cost flow models in transportation, shortest path problems, and maximum flow models. Deterministic and stochastic systems, as well as the effects of nonlinear and integer constraints, are considered. Students are expected to have computer programming experience (Excel, Matlab or equivalent). Credit will be given for only one of IE 6460 or ME 6720.
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  • ME 6930: Selected Topics in Mech Engr

    1.00 Credits
    Clemson University

    Study of topics not found in other courses. May be repeated, but only if different topics are covered. Preq: Consent of instructor.
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  • ME 8010: Found of Fluid Mech

    3.00 Credits
    Clemson University

    Derivations of basic equations for multidimensional flow fields; analytical techniques for solving problems in laminar viscous flow and laminar inviscid flow; theories of similitude.
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  • ME 8100: Macroscopic Thermo

    3.00 Credits
    Clemson University

    First, second and third laws of thermodynamics with engineering applications; thermodynamic property relations; chemical equilibrium.
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  • ME 8110: Gas Dynamics

    3.00 Credits
    Clemson University

    Concepts from thermodynamics, one-dimensional gas dynamics, one-dimensional wave motion, normal and oblique shocks; flow in ducts and wind tunnels; two-dimensional equation of motion; small perturbation theory.
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  • ME 8120: Exp Meth Thermal Sci

    3.00 Credits
    Clemson University

    Theories of measurements, instrumentation and techniques for measuring temperature, pressure and velocity on a practical graduate engineering level; mathematical presentation of data, uncertainty analysis, data acquisition techniques, and theory and state-of-the-art measuring systems. Coreq: ME 8121.
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  • ME 8121: Ex Meth Therm Lab

    0.00 Credits
    Clemson University

    Non-credit laboratory to accompany ME 8120. Coreq: ME 8120.
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  • ME 8140: Turb Bound Layer

    3.00 Credits
    Clemson University

    Concepts of fluid turbulence; turbulent transport mechanisms, dynamics of turbulence and experimental techniques pertinent to existing theories; classification of shear flows and their prediction methods. Preq: ME 8010 or consent of instructor.
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  • ME 8150: Statistical Therm I

    3.00 Credits
    Clemson University

    Fundamental principles of kinetic theory and quantum statistical mechanics; Boltzmann statistics, Fermi-Dirac statistics and Bose-Einstein statistics. Students are expected to have completed a course in thermodynamics or obtained consent of instructor before enrolling in this course. May also be offered as PHYS 8150.
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  • ME 8160: Fundamentals Atomistic Model

    3.00 Credits
    Clemson University

    This course focuses on the atomistic modeling technique of molecular dynamics simulations. Computational material science and fundamentals about the atomistic structure and material properties are covered; theories behind the molecular dynamics simulation are introduced, including theories, algorithms, empirical potentials, and thermostats; and specific research topics are discussed in detail which adopt molecular dynamics simulation to analyze the material properties of the system, such as Young's modulus, strength, fracture and failure, thermal properties, dislocations, grain boundaries, etc. Students gain hands-on experience with the Palmetto HPC cluster, using an open-source molecular dynamics solver, LAMMPS, to run simulations, applying open-source codes/software such as VMD/OVITO to visualize simulation trajectories, and using MATLAB to write programs to post-process the simulation results. Special topics on atomistic modeling, such as density functional theory calculations, coarse-grained molecular dynamics simulations, and accelerated molecular dynamics methods, are selectively introduced. This course significantly extends the student's knowledge in computational mechanics/materials and introduces them to new skills in atomistic modeling. The hands-on experience and interactions with the instructor prepare students to conduct research in this field. Students are expected to have computer programming skills and experience and to be familiar with MATLAB, C, or C++ before enrolling in this course.
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