Magnetostatics, origin of magnetism in materials, magnetic domains and domain walls, magnetic anisotropy, reversible and irreversible magnetization processes; hard and soft magnetic materials and magnetic recording. Special topics: magnetism of thin films, surfaces and fine particles; transport in ferromagnets, magnetoresistive sensors, and amorphous magnetic materials.

This course gives an overview of engineering management and covers topics such as financial principles, management of innovation, technology strategy, and best management practices. The focus of the course is the development of individual skills and team work. This is carried out through an exposure to management tools.

This course covers basic topics in autonomous marine vehicles, focusing mainly on software and algorithms for autonomous decision making (autonomy) by underwater vehicles operating in the ocean environments, autonomously adapting to the environment for improved sensing performance. It will introduce students to underwater acoustic communication environment, as well as the various options for undersea navigation, both crucial to the operation of collaborative undersea networks for environmental sensing. Sensors for acoustic, biological and chemical sensing by underwater vehicles and their integration with the autonomy system for environmentally adaptive undersea mapping and observation will be covered. The subject will have a significant lab component, involving the use of the MOOS-IvP autonomy software infrastructure for developing integrated sensing, modeling and control solutions for a variety of ocean observation problems, using simulation environments and a field testbed with small autonomous surface craft and underwater vehicles operated on the Charles River.

In this course the fundamentals of fluid mechanics are developed in the context of naval architecture and ocean science and engineering. The various topics covered are: Transport theorem and conservation principles, Navier-Stokes' equation, dimensional analysis, ideal and potential flows, vorticity and Kelvin's theorem, hydrodynamic forces in potential flow, D'Alembert's paradox, added-mass, slender-body theory, viscous-fluid flow, laminar and turbulent boundary layers, model testing, scaling laws, application of potential theory to surface waves, energy transport, wave/body forces, linearized theory of lifting surfaces, and experimental project in the towing tank or propeller tunnel.

De student die dit vak met goed gevolg heeft doorlopen zal in staat zijn om: (1) Op basis van eigenschappen en gedrag onder externe invloeden een klassificatie te maken van materialen en op basis daarvan een eerste indruk te krijgen van hun geschiktheid in bepaalde toepassingen. (2) Inzicht te verkrijgen in de rol van materialen, materiaalgebruik en materiaalontwikkeling in de ontwikkeling, kwaliteit, mogelijkheden en bedreigingen van de samenleving afhankelijk van tijd, plaats en cultuur. Dit inzicht is gebaseerd op objectieve data. (3) Vast te stellen welke materiaaleigenschappen van kritisch belang zijn in mechanische en andere werktuigbouwkundige ontwerpen, en met behulp van eenduidige criteria materiaalkeuzes in de ontwerpcriteria van constructies te optimaliseren. De belangrijkste eigenschappen die aan de orde komen zijn dichtheid, stijfheid, sterkte, plasticiteit, breuk, vermoeiing, wrijving, slijtage. (4) Mechanische eigenschappen van materialen te herleiden tot chemische bindingen, onderlinge krachten, ordeningspatronen, defecten, en relatieve bewegingsmogelijkheden van atomen. De verschillende lengteschalen die materiaaleigenschappen bepalen staan hierbij centraal. Hiermee zal tevens inzicht verkregen worden in de mogelijkheden en beperkingen van materialen onder extreme omstandigheden en in de strategieën die gevolgd kunnen worden om materialen te verbeteren. (5) Optimale keuzes te maken binnen het beschikbare spectrum van procestechnieken (productie, bewerking, vorming, verbinding, afwerking) om componenten en eindproducten te vervaardigen. (6) Software te gebruiken waarmee, gegeven een aantal vereisten van materiaaleigenschappen, het beste materiaal voor een ontwerp kan worden geselecteerd. Deze materiaaleigenschappen gaan verder dan mechanische eigenschappen alleen. Thermische, elektrische, ecologische, economische en recycling-eigenschappen zullen in voorkomende gevallen ook meegewogen worden.

This course is a required sophomore subject in the Department of Materials Science and Engineering, designed to be taken in conjunction with the core lecture subject 3.012 Fundamentals of Materials Science and Engineering. The laboratory subject combines experiments illustrating the principles of quantum mechanics, thermodynamics and structure with intensive oral and written technical communication practice. Specific topics include: experimental exploration of the connections between energetics, bonding and structure of materials, and application of these principles in instruments for materials characterization; demonstration of the wave-like nature of electrons; hands-on experience with techniques to quantify energy (DSC), bonding (XPS, AES, FTIR, UV/vis and force spectroscopy), and degree of order (x-ray scattering) in condensed matter; and investigation of structural transitions and structure-property relationships through practical materials examples.

The goal of 3.044 is to teach cost-effective and sustainable production of solid material with a desired geometry, structure or distribution of structures, and production volume. Toward this end, it is organized around different types of phase transformations which determine the structure in various processes for making materials, in roughly increasing order of entropy change during those transformations: solid heat treatment, liquid-solid processing, fluid behavior, deformation processing, and vapor-solid processing. The course ends with several lectures that place the subject in the context of society at large.

As its name implies, the 3.042 Materials Project Laboratory involves working with such operations as investment casting of metals, injection molding of polymers, and sintering of ceramics. After all the abstraction and theory in the lecture part of the DMSE curriculum, many students have found this hands-on experience with materials to be very fun stuff - several have said that 3.042/3.082 was their favorite DMSE subject. The lab is more than operating processing equipment, however. It is intended also to emulate professional practice in materials engineering project management, with aspects of design, analysis, teamwork, literature and patent searching, web creation and oral presentation, and more.

This text serves to provide a brief overview of some of the myriad of topics available for study in the field of Materials Science. This is by no means a comprehensive compilation of Materials Science and Engineering topics but is instead meant as an introduction to the topic for entry-level undergraduates who want to pursue a career studying materials.

Table of Contents:
Part I Bonding, Structure, and Defects
1 Bonding, Bragg, Beginning of Structure
2 Structure: Structure: Crystalline, Amorphous, Non-Crystalline, and Liquid Crystal Materials
3 Defects in Crystalline Materials

Part II Kinetics
4 Kinetics

Part III Phase Diagrams and Microstructural Evolution
5 Phase Diagrams
6 Nucleation, Growth, and Oswald Ripening

Part IV Mechanical Behavior of Materials
7 Mechanical Behavior of Materials

Part V Electrochemistry
8 Electrochemistry

Part VI Polymeric Electrical, Optical, and Magnetic Materials
9 Polymers, Soft Matter, and Composites
10 Electrical, Optical, and Magnetic Properties of Materials

Detailed study of the materials with properties that have been optimized for a set of desired applications and their production. Explores atomic structure, crystalline materials, flaws and diffusion, mechanical properties, phase diagrams, specialty materials, and nanotechnology.

Laws of thermodynamics: general formulation and applications to mechanical, electromagnetic and electrochemical systems, solutions, and phase diagrams. Computation of phase diagrams. Statistical thermodynamics and relation between microscopic and macroscopic properties, including ensembles, gases, crystal lattices, phase transitions. Applications to phase stability and properties of mixtures. Computational modeling. Interfaces.

Scientific computing: Fast Fourier Transform, finite differences, finite elements, spectral method, numerical linear algebra. Complex variables and applications. Initial-value problems: stability or chaos in ordinary differential equations, wave equation versus heat equation, conservation laws and shocks, dissipation and dispersion. Optimization: network flows, linear programming. Includes one computational project.

How do populations grow? How do viruses spread? What is the trajectory of a glider?

Many real-life problems can be described and solved by mathematical models. In this course, you will form a team with another student and work in a project to solve a real-life problem.

You will learn to analyze your chosen problem, formulate it as a mathematical model (containing ordinary differential equations), solve the equations in the model, and validate your results. You will learn how to implement Euler’s method in a Python program.

If needed, you can refine or improve your model, based on your first results. Finally, you will learn how to report your findings in a scientific way.

This course is mainly aimed at Bachelor students from Mathematics, Engineering and Science disciplines. However it will suit anyone who would like to learn how mathematical modeling can solve real-world problems.

This course serves as an introduction to working in an engineering laboratory. The student will learn to gather, analyze, interpret, and explain physical measurements for simple engineering systems in which only a few factors need be considered. Upon successful completion of this course, the student will be able to: Interpret and use scientific notation and engineering units to describe physical quantities; Present engineering data and other information in graphical and/or tabular format; Use automated systems for data acquisition and analysis for engineering systems; Work in teams for experiment design, data acquisition, and data analysis; Use elementary concepts of physics to analyze engineering situations and data; Summarize and present experimental design, implementation, and data in written format; Use new technology and resources to design and perform experiments for engineering analysis. (Mechanical Engineering 301)

These exercises target student misconceptions about how to properly measure voltage and current in simple DC circuits by letting them investigate different meter arrangements without fear of damaging equipment. These activities also are designed to lead to other investigations about simple DC circuits.

Introduces mechanical and economic models of assemblies and assembly automation on two levels. "Assembly in the small" comprises basic engineering models of rigid and compliant part mating and explains the operation of the Remote Center Compliance. "Assembly in the large" takes a system view of assembly, including the notion of product architecture, feature-based design and computer models of assemblies, analysis of mechanical constraint, assembly sequence analysis, tolerances, system-level design for assembly and JIT methods, and economics of assembly automation. Case studies and current research included. Class exercises and homework include analyses of real assemblies, the mechanics of part mating, and a semester long project.

This course is aimed at presenting the concepts underlying the response of polymeric materials to applied loads. These will include both the molecular mechanisms involved and the mathematical description of the relevant continuum mechanics. It is dominantly an "engineering" subject, but with an atomistic flavor. It covers the influence of processing and structure on mechanical properties of synthetic and natural polymers: Hookean and entropic elastic deformation, linear viscoelasticity, composite materials and laminates, yield and fracture.

This site contains a broad overview of the mechanical engineering program at the Massachusetts Institute of Technology. It is one of the broadest and most versatile of the engineering professions. The site features lecture notes, assignments, solutions, online textbooks, projects, study groups and exams. This is a nice broad overview of available courses within this program.

Introduces the fundamentals of machine tool and computer tool use. Students work with a variety of machine tools including the bandsaw, milling machine, and lathe. Instruction given on the use of the Athena network and Athena-based software packages including MATLABĺ¨, MAPLEĺ¨, XESSĺ¨, and CAD. Emphasis on problem solving, not programming or algorithmic development. Assignments are project-oriented relating to mechanical engineering topics. It is recommended that students take this subject in the first IAP after declaring the major in Mechanical Engineering. From the course home page: This course was co-created by Prof. Douglas Hart and Dr. Kevin Otto.

Introduces mechanical behavior of engineering materials, and the use of materials in mechanical design. Emphasizes the fundamentals of mechanical behavior of materials, as well as design with materials. Major topics: elasticity, plasticity, limit analysis, fatigue, fracture, and composites. Materials selection. Laboratory experiments involving projects related to materials in mechanical design. This course provides Mechanical Engineering students with an awareness of various responses exhibited by solid engineering materials when subjected to mechanical and thermal loadings; an introduction to the physical mechanisms associated with design-limiting behavior of engineering materials, especially stiffness, strength, toughness, and durability; an understanding of basic mechanical properties of engineering materials, testing procedures used to quantify these properties, and ways in which these properties characterize material response; quantitative skills to deal with materials-limiting problems in engineering design; and a basis for materials selection in mechanical design.