This course is involved in the design and development of parts and assemblies for manufacturability and functionality; characteristics and capabilities of significant manufacturing processes; principles of design for manufacturability; product planning; conceptual design; embodiment design; dimensional tolerances; optimum design of products to minimize cost of manufacture; materials specifications for ease of manufacturability and good functional results; design for ease of assembly; integrated product development; concurrent engineering practice.

Introduction to state space concepts; state space description of physical systems such as electrical, mechanical, electromechanical, thermal, hydraulic, pneumatic, aerospace, etc. systems. Eigenvalues, eigenvectors and other topics in linear algebra, modal decomposition and other coordination transformations. Relationship between classical transfer function methods and modern state methods. Analysis of linear continuous and discrete time linear systems, solution by state transition matrix, control ability, observability and stability properties; synthesis of linear feedback control systems via pole assignment and stabilizability and performance index minimization. Brief introduction to optimal control, estimation and identification. Alternate years.

This course is intended to give the student an in-depth appreciation of contemporary and emerging manufacturing methods in use in a wide variety of durable and consumable goods industries. The initial emphasis will be on the mechanics of material removal/material flows and processing. Next, contemporary net-shape composite manufacturing processing techniques, equipment and testing methods will be presented and demonstrated whenever possible. The course will conclude with hands-on manufacturing projects accomplished in teams, focusing on the study of the field of manufacturing processes from a mechanical engineering design standpoint. Topics will include optimum mechanical design for cost, weight, stress, energy and tolerances.

This course provides project managers with the framework, tools and approaches to meet the quality requirements of their projects and their customers, ensuring project success.

Application of mathematical optimization techniques, including linear and nonlinear methods, to design and manufacture of devices and systems of interest to mechanical engineers; optimization techniques include: constrained and unconstrained optimization in several variables, problems for structured multi-stage decision, and linear programming; formulation of design and manufacturing problems using computer- based methods; optimum design of parts and assemblies to minimize the cost of manufacture.

 An introduction to the principles and control of air   pollution, including:
 types and measurement of air pollution; air pollution   chemistry; atmospheric dispersion modeling; compressible fluid flow; particle   dynamics; ventilation systems; inertial devices; electrostatic precipitators;   scrubbers; filters; absorption and adsorption; combustion; condensation.

The basis of catalysis and catalytic processes are introduced, such as the production of a broad range of chemicals and reduction of pollutants from mobile and stationary sources.

Review of laws regarding air, water and noise pollution. Role of engineering representing a company or public before government agencies. Permit system, implementation plans, and other legal sanction. Site studies and environmental impact statements.

This course will concentrate on a group of current topics in air pollution technology. For example: public health aspects of air pollution, incineration, fugitive emissions, modeling and prediction of near-field dispersion, air quality measurement, aerosols, odor control, current industrial applications and practice. The course will extend coverage of air pollution topics into additional areas not covered in conventional courses and provide flexibility for new, timely subjects.

Problems in mechanical engineering illustrating the application of computer methods to solve roots of algebraic and transcendental equations, system of algebraic equations, curve fitting, numerical integration and differentiation, ordinary and partial differential equations.

Stress in a continuum; kinematics of fluid motion; rate of strain and vorticity; relation between stress and rate of strain; the Navier-Stokes equations; inviscid flow; stream function, velocity potential and circulation; Kelvin and Helmholtz theorems; two-dimensional incompressible flows; the Kuta-Joukowski theorem; introduction to compressible flows, boundary layers and drag-on bodies.

Computational techniques for solving problems in fluid flow and heat transfer; review of governing equations for fluid flow, special topics in numerical analysis, algorithms for incompressible flow, treatment of complicated geometrical constraints.

Fundamental modes of heat transfer; conduction, thermal resistance, extended surface with variable cross-section area, application of analytical, numerical and analog methods to the steady and unsteady state; convection, fluid flow and elementary boundary layer theory, dimensional analysis, forced convection for internal and external flows, natural convection, laminar and turbulent flow correlation formulas, condensation and boiling; radiation, physical foundations, radiative properties of surfaces, enclosure radiation, view factors, electrical analogy, gas radiation.

Place of convective heat transfer among engineering sciences, concepts related to thermodynamics, mechanics and deformable moving media. General principles: conservation of mass, balance of linear momentum, conservation of total energy, increase of entropy; formulation of parallel flows, buoyancy driven flows, thermal boundary layers, fully developed heat transfer in pipes and channels, heat transfer correlations for turbulent flows.

This project-based course exposes students to tools and methodologies useful for forming and managing an effective engineering design team in a business environment. Topics covered will include: personality profiles for creating teams with balanced diversity; computational tools for project coordination and management; real time electronic documentation as a critical design process variable; and methods for refining project requirements to ensure that the team addresses the right problem with the right solution.

This course provides project managers with the framework, tools and approaches to meet the quality requirements of their projects and their customers, ensuring project success.

This course is involved in the design and development of parts and assemblies for manufacturability and functionality; characteristics and capabilities of significant manufacturing processes; principles of design for manufacturability; product planning; conceptual design; embodiment design; dimensional tolerances; optimum design of products to minimize cost of manufacture; materials specifications for ease of manufacturability and good functional results; design for ease of assembly; integrated product development; concurrent engineering practice.

Fundamentals of Computer-Integrated Design and Manufacturing addresses design and manufacturing as a global closed-loop system comprising four major functions: marketing, part design, process specifications and production. The emphasis of this course is on the computer integration of the islands of automation created by isolated computerized systems within these major functions in an enterprise.

Analysis of thermodynamics, hydraulic, environmental, and economic considerations that affect the design and performance of modern power plants; overview of power generation system and its components, including boilers, turbines, circulating water systems, and condensate-feedwater systems; fuels and combustion; auxiliary pumping and cleanup systems; gas turbine and combined cycles; and introduction to nuclear power plants and alternate energy systems based on geothermal, solar, wind, and ocean energy.

Basic principles of heat exchanger design; types of heat exchangers, heat exchanger effectiveness; uncertainty analysis of design and operating parameters; fouling factors; heat transfer augmentation in heat exchangers, two-phase flow, boiling and condensation in heat exchangers, second law of thermodynamics for optimization of heat exchanger design; tube vibrations; codes and standards; individually supervised heat exchanger design project.

The internal combustion engine examined in terms of the four fundamental disciplines that determine its characteristics: 1) fluid mechanics; 2) chemistry of combustion and of exhaust emission; 3) first and second laws of thermodynamics, and 4) mechanics of reciprocating and rotary motion; high output Otto and Diesel engines for terrestrial, maritime and aerospace environments; normal and abnormal combustion; stratified charge and advanced low emission engines; hybrid and multifuel engines; Sterling and other space engines; free-piston and rotary-piston concepts and configurations.

Aerodynamic and thermodynamic fundamentals applicable to turbomachinery; design configurations and types of turbomachinery; turbine, compressor and ancillary equipment kinematics, thermodynamics and performance; selection and operational problems of turbomachinery.

Gas turbine cycles, theoretical and practical; cycles with intercooling, recuperation and reheat; the closed cycle turbine; cycles on the H-S charts; heat exchangers; intercoolers; compressor and turbine types; turbine cooling; aircraft gas turbines; turboprops and turbojets; afterburners and wet compression for jets; industrial gas turbines; nuclear fuel applications; regulation of gas turbines.

 A treatment of the physical and chemical theoretical   principles which govern the characteristics and performance of propellants and   explosives; theories to explain stability, sensitivity, combustion, detonation,   initiation, power, shaped charge effect, and flash and smoke formations;   thermochemical and thermodynamic calculations to enable performance to be   predicted; kinetics of reaction of important systems; modern research   instrumentation; test procedures; methods of evaluating propellants and   explosives.
           Fall and Spring semester. (At Dover, NJ)

 Basic principles of exterior ballistics are introduced.   Flight terminology,
 vacuum trajectories and flat fire point mass trajectories   are discussed.
 Siacci Method, Coriolis effect, yaw or repose, wind   effects, 6-DOF
 trajectories and modified point mass trajectories are   covered.
     (At Dover, NJ)

The ballistic regimes, simple piezo ballistics, Corner's   analysis,
 Frankle-Baer simulation, interior ballistics interactive   simulation,
 comparison of models, projectile design practice, cannon   design practice,
 exterior intermediate ballistic regimes, flight   trajectories, terminal
 ballistics, numerical simulation of impact and   fragmentation.
                 (At Dover, NJ)

 A treatment of the physical and chemical theoretical   principles which govern the characteristics and performance of propellants and   explosives; theories to explain stability, sensitivity, combustion, detonation,   initiation, power, shaped charge effect, and flash and smoke formations;   thermochemical and thermodynamic calculations to enable performance to be   predicted; kinetics of reaction of important systems; modern research   instrumentation; test procedures; methods of evaluating propellants and   explosives.
          Fall and Spring semester.  (At Dover, NJ)

 Simplified equations for determination of flight stability   and roll resonance are developed.  Terminal ballistics are described and   nomenclature introduced. Shock and stress wave effects in material are discussed.   Penetration and perforation of solids and the governing equations are   described.  Penetration of armor by shaped charged jets are discussed.  Term   project focuses on investigation of terminal ballistic effects tailored to a   specific job application.
           (At Dover, NJ)

Torsion, bending and shear of beams with solid or thin-walled sections; curved beams; shrink fits, pressure vessels, spinning discs; experimental techniques, strain rosettes; buckling of bars, beams, rings, boiler tubes; thermal stress problems; introduction to theory of elasticity.

Stress analysis of axisymmetric bodies; beams on elastic foundations; introduction to plate theory and fracture mechanics; plasticity; creep and fatigue of engineering materials.

Development of the fundamental equations of finite-element theory, using the matrix displacement approach. Detailed case studies of one-dimensional (truss and beam), two-dimensional (plane stress/strain and axisymmetric solid), k and plate-bending elements are explained. Applications include interactive model building and solutions.

This course covers the development and application of
finite-element theory to (1) fluid structure interaction, (2) large deformations of incompressible material, (3) electromechanical coupling problems, and (4) nonlinear heat transfer with phase change.

Fracture energy, linear elastic fracture mechanics, stress intensity factor, crack opening displacement (COD), fracture mechanics in design, elastic plastic fracture mechanics, numerical methods in fracture mechanics, introduction to fatigue, fatigue crack initiation, fatigue crack propagation.

This course offers concurrent design as they apply to quiet product design; vibration and acoustic characteristics in design or products and systems; source-path-receiver model for vibration and acoustics; vibration of single and two degrees of freedom models; features of continuous systems, design for low vibration and vibration control; acoustic plane and spherical waves; acoustical source models; acoustic performance descriptions; design of quiet products and systems; application of computational methods; case studies.

Fundamentals of wave motion, acoustical plane waves, spherical waves, transmission of sound through media, radiation of sound, acoustical source mechanisms, absorption of sound, principles of underwater acoustics, ultrasonics.

Vibration of linear system with one degree of freedom; multidegree of freedom systems; vibration control; Lagrange’s equation; theory of small vibrations; matrix methods; normal coordinates; approximate methods of Holzer and Rayleigh-Stodola.

Fundamentals of Newtonian mechanics; principle of virtual work; d’Alembert’s Principle; Hamilton’s Principle; Lagrange’s equations; Hamilton’s equations; motion relative to moving reference frames; rigid-body dynamics; Hamilton-Jacobi equation; applications.

Elements of a robotic/flexible automation system; overview of applications; manipulator anatomy; drive systems; end effectors; sensors; computer control: functions, levels of intelligence, motion control, programming and interfacing to sensors and actuators; applications: identification, hardware selection, work cell design, economics, case studies; design of parts and assemblies; advanced topics.

Introduction to state space concepts; state space description of physical systems such as electrical, mechanical, electromechanical, thermal, hydraulic, pneumatic, aerospace, etc. systems. Eigenvalues, eigenvectors and other topics in linear algebra, modal decomposition and other coordination transformations. Relationship between classical transfer function methods and modern state methods. Analysis of linear continuous and discrete time linear systems, solution by state transition matrix, control ability, observability and stability properties; synthesis of linear feedback control systems via pole assignment and stabilizability and performance index minimization. Brief introduction to optimal control, estimation and identification. Alternate years.

Robot path control, dynamics of robot systems, mechanical drive systems; microcomputers, computational architectures, digital control of manipulators; sensors, force and compliance control, vision systems, tactile sensing, range finding and navigation; intelligence and task planning.

Introduction to vector stochastic processes; response of linear differential systems to white noise, state estimation of linear stochastic systems by Kalman Filtering, combined optimal control and estimation of continuous time Linear Quadratic Gaussian (LQG) regulators; optimization techniques for dynamic systems using nonlinear programming methods and variational calculus; optimal control of linear and nonlinear systems by Pontryagin’s maximum principle and Hamilton-Jacobi-Bellman theory of dynamic programming; computational methods in optimal control and estimation; applications to aerospace, mechanical electrical and other physical systems.

This course focuses on the application of advanced process control techniques in pharmaceutical and petrochemical industries. Among the topics considered are bioreactor and polymerization reactor modeling, biosensors, state and parameter estimation techniques, optimization of reactor productivity for batch, fed-batch and continuous operations, and expert systems approaches to monitoring and control. An overview of a complete automation project of a pharmaceutical plant, from design to start-up, will be discussed, including process control issues and coordination of interdisciplinary requirements and regulations. Guest speakers from local industry will present current technological trends. A background in differential equations, biochemical engineering and basic process control is required.