Differences between small molecules and polymers; thermosets; thermoplastics. Relationships between molecular structure and properties. Major types of polymers. Supramolecular architectures, composites, copolymers.
An introduction to methods and software tools used in scientific computing. Software development, data abstraction and the concept of object oriented programming. Hands-on exploration of some of the principal modern software tools of computational science including computing environments, symbolic computing, numerical libraries and software repositories. An introduction to high performance computing and parallel programming.
The following objectives will be met through extensive reading, writing and discussion both in and out of class.Build a solid background in academic discourse, both written and spoken. Improve intensive and extensive critical reading skills. Foster critical and creative thinking. Build fundamental academic writing skills including summary, paraphrase, analysis, synthesis. Master cohesiveness as well as proper academic citation when incorporating the work of others.
Intermolecular forces which govern self-organization of biological and synthetic nanostructures. Thermodynamic aspects of strong (covalent and coulomb interactions) and weak forces (dipolar, hydrogen bonding). Self-assembling systems: micelles, bilayers, and biological membranes. Computer simulations for ôhands-onö experience with nanostructures.
Polymers, their synthesis and properties. Relationshios between molecular structure and properties. Rheology in polymer processing. Fabrication methods and applications.
Indicial notation, tensor algebra, coordinate transformation, linear elasticity, stress, strain, constitutive law for linear elastic solids, the principle of virtual displacements, plane stress and plane strain, yield criteria (von Mises, Tresca, yield surfaces), work hardening models (isotropic hardening, kinematic hardening), elasticity, plasticity, uni-axial deformation, multi-axial deformation.
Teaches deterministic vibratory motion of mechanical systems. Includes free, forced-harmonic, forced-periodic, and forced-transient vibration of single-degree-of-freedom, multiple-degree-of-freedom, and continuous systems. It also gives an introduction to the Finite Element Method.
Particle kinematics. Kinematics of rigid bodies. Newtonian kinetics of a rigid body. Impulse-momentum and work-energy principles. Analytical mechanics. Holonomic and nonholonomic constrains. Virtual displacement. Generalized forces. Hamilton`s principle. Lagrange equations. Constrained generalized coordinates. Computational methods in the state space. Hamiltonian Mechanics. Gibbs-Appell equations. Gyroscopic effects.
Overview of MEMS materials and fabrication techniques; mechanical concepts and components; transduction techniques; MEMS sensors.
Geometric, physics-based, and probabilistic modeling methodology and associated computational tools for interactive simulation: computer programming, numerical methods, graphical modeling and programming, physics-based and probabilistic modeling techniques.
Modeling, simulation and identification of physical systems. Instrumentation. Sensors and transduscers. Hardware components. Pneumatic, hydraulic, mechanical and electrical actuators. Programmable logic controllers (PLC). Signals, systems, and controls. Real time interfaceing and programing. Microprocessor-based electro-mechanical control applications and projects for factory automation, manufacturing and machine systems.
Product realization systems from Computer Aided Design (CAD) to Computer Aided Manufacturing (CAM). Manufacturing Automation. Modern sensors in manufacturing. Computer control of manufacturing systems. Computer Numerical Control (CNC) machine tools. Machining processes. Rapid prototyping. Fundementals of industrial robotics.
Fundamental concepts of modeling, control sensing, and intelligence of robotic systems. Robotic manipulators and mobile robots. Forward and inverse kinematics, trajectory planning, dynamics, control, and programming of robotic manipulators. Hardware components of mobile robots, visual and navigational sensors, pose estimation, navigation, and reasoning in mobile robots. Hands-on experience with robotic arms and mobile robots in a laboratory environment.
Metal forming, kinetics of plastic flow, texture and texture evolution in metallic materials, computational aspects of metal forming, plasticity and visco-plasticity, modeling of plastic deformation, numerical analysis of plastic deformation, classical theories of plasticity, microstructural modeling, thermodynamics and mechanics of slip, constitutive relations for crystal plasticity, models commonly applied in engineering practice, visco-plastic self-consistent modeling, texture evolution.
Topics will be announced when offered.
Fabrication and characterization techniques for micro and nano electro mechanical systems, MEMS & NEMS (including: microlithography; wet & dry etching techniques; physical & chemical vapor deposition processes; electroplating; bonding; focused ion beams; top-down approaches - electron-beam lithography, SPM, soft lithography - ; bottom-up techniques based on self-assembly). Semiconductor nanotechnology. Nanotubes & nanowires. Biological systems. Molecular electronics.
Bioengineering, engineering materials, medicine, polymers, metals, smart materials, surgical implants, surgical instruments, cell and tissue mechanics, microsurgery, self-expanding stents, physical therapy, phase transformations, shape memory alloys.
Provides hands-on teaching experience to graduate students in undergraduate courses. Reinforces students' understanding of basic concepts and allows them to communicate and apply their knowledge of the subject matter.