Results for ME

This course is intended to be the starting point for Mechanical Engineering majors. It will cover the concepts, engineering methods, and common tools used by mechanical engineers while introducing the students to a few interesting devices. We will discuss how each device was conceived, design challenges that arose, application of analytical tools to the design, and production methods. Main class sections will include lectures, demonstrations, and in-class group exercises. Lab sections will develop specific skills in freehand sketching and computational modeling of engineering systems. Prerequisites: Physics: Mechanics, and first quarter Calculus.

The basic principles of thermodynamics are introduced in this course. Concepts of energy and entropy from elementary considerations of the microscopic nature of matter are discussed. The principles are applied in thermodynamic analyses directed towards understanding the performances of engineering systems. Methods and problems cover socially responsible economic generation and utilization of energy in central power generation plants, solar systems, refrigeration devices, and automobile, jet and gas-turbine engines.

Mechanics of materials and deformation of structural members. Topics include stress and deformation analysis under axial loading, torsion and bending, column buckling and pressure vessels. Introduction to stress transformation and multiaxial loading. Prerequisite: ENGR 14.

Students develop the language and toolset to transform design concepts into tangible models/prototypes that cultivate the emergence of mechanical aptitude. Visual communication tools such as sketching, orthographic projection, and 2D/3D design software are introduced in the context of design and prototyping assignments. Instruction and practice with hand, powered, and digital prototyping tools in the Product Realization Lab support students implementation and iteration of physical project work. Project documentation, reflection, and in-class presentations are opportunities for students to find their design voice and practice sharing it with others. Prerequisite: ME 1 or ME 101 or consent of instructor.

ME103 is designed for sophomores or juniors in mechanical engineering or product design. During the course students will develop a point of view around a product or object of their own design that is meaningful to them in some way. Students will evolve their ideas through a series of prototypes of increasing fidelity ¿ storyboards, sketches, CAD models, rough prototypes, 3D printed models, etc. The final project will be a high-fidelity product or object made with the PRL's manufacturing resources, giving students a sound foundation in fabrication processes, design guidelines, tolerancing, and material choices. The student's body of work will be presented in a large public setting, Meet the Makers, through a professional grade portfolio that shares and reflects on the student's product realization adventure. ME103 assumes familiarity with product realization fundamentals, CAD and 3D printing. Prerequisite for ME103: ME102.

Design encompasses a complex nexus of activity including ideating, prototyping, sharing, breaking, repairing, and discarding things. This class will focus 3 lenses on familiar every day designed objects: (a) historic and societal influences, (b) user need and interaction considerations, and (c) redesign and prototyping opportunities. Sessions interleave lessons in society, design, and usability, with hands-on practical skills in making, to bring new perspectives to students in both humanities and engineering. Students with enthusiasm and little or no experience in making are encouraged to join.

Students will continue to build understanding of Product Realization processes and techniques concentrating on Computer Numerical Control (CNC) machines, materials, tools, and workholding. Students will gain an understanding of CNC in modern manufacturing and alternative methods and tools used in industry. Students will contribute to their professional portfolio by including projects done in class. Limited enrollment. Prerequisite: ME 103 and consent of instructor.

The principles of heat transfer by conduction, convection, and radiation with examples from the engineering of practical devices and systems. Topics include transient and steady conduction, conduction by extended surfaces, boundary layer theory for forced and natural convection, boiling, heat exchangers, and graybody radiative exchange. Prerequisites: ME70, ME30 (formerly listed at ENGR30). Recommended: intermediate calculus, ordinary differential equations.This course was formerly ME131A. Students who have already taken ME131A should not enroll in this course.

A second course in engineering thermodynamics. Review of first and second laws, and the state principle. Extension of property treatment to mixtures. Chemical thermodynamics including chemical equilibrium, combustion, and understanding of chemical potential as a driving force. Elementary electrochemical thermodynamics. Coursework includes both theoretical and applied aspects. Applications include modeling and experiments of propulsion systems (turbojet) and electricity generation (PEM fuel cell). Matlab is used for quantitative modeling of complex energy systems with real properties and performance metrics. Prerequisites: ME30 required, ME70 suggested, ME131 desirable.

Modeling, analysis, and measurement of mechanical and electromechanical dynamic systems. Closed form solutions of ordinary differential equations governing the behavior of single and multiple-degree-of-freedom systems. Stability, forcing, resonance, and control system design. Prerequisites: Ordinary differential equations (CME 102 or MATH 53), linear algebra (CME 104 or MATH 53) and dynamics (E 15) are recommended.

First course of two-quarter capstone sequence. Working in project teams, design and develop an engineering system addressing a real-world problem in theme area of pressing societal need. Learn and utilize industry development process: first quarter focuses on establishing requirements and narrowing to top concept. Second quarter emphasizes implementation and testing. Learn and apply professional communication skills, assess ethics. Students must also enroll in ME170b; completion of 170b required to earn grade in 170a. Course sequence fulfills ME WIM requirement. Course open to Biomechanics students for Capstone credit. Co- or Prerequisites: ENGR15, ME80, ME104, ME131 (ME only), ME123 (ME Only). (Cardinal Course certified by the Haas Center).

Directed study and research for undergraduates on a subject of mutual interest to student and staff member. Student must find faculty sponsor and have approval of adviser.

Student must find faculty honors adviser and apply for admission to the honors program.nn (Staff)

ME203 is intended for any graduate student, from any field of study, who may want the opportunity to design and prototype a physical project of meaning to them. Undergraduate mechanical engineering and product design students should register for ME103. Students are asked to discover a product with meaning to them; develop a point of view which motivates a redesign of that product; manufacture a series of models, multiple candidates, including sketches, product use stories, rapid prototypes, CAD documents, manufacturing test models, and finally a customer ready prototype. Each student will physically create their product using Product Realization Lab resources, and also redesign their product for scaled manufacturing to develop a knowledge of manufacturing processes, design guidelines, materials choices, and the opportunities those processes provide. The student's body of work will be presented in a large public setting, Meet the Makers, through an inspirational portfolio which shares and reflects on their product realization adventure.

Engineering Design Analytics is for engineering students seeking greater depth in new product development. Students will develop structured methods for addressing questions like: Who are 'customers'? What do customers value? What are leverage points for designing systems? What are robust metrics for assessing system performance and customer satisfaction? What are failure modes? Why are ethics important in engineering projects? Assignments will include readings, case studies, applied activities, and write-ups. In class activities will include lectures, discussions, and working sessions. Prerequisites: ME 103/203 or consent of instructor.

Lecture/Lab. First in the team design project series on programmable electromechanical systems design. Topics: transistors as switches, basic digital circuits, C language features for embedded software, register level programming, input/output ports and user I/O, hardware abstraction layers, software design, event driven programming, state machines, state charts. Programming of the embedded system is done in C. Students must have a computer (Win10 or OSX) on which they can install the tools used in the classes and a workspace to complete the lab assignments (in case the lab is closed due to COVID). Lab fee. Limited Enrollment, must attend first lecture session. Prerequisite: You should have had a programming course taught in C, C++ or Java and an introductory course in circuit analysis prior to enrolling in ME218a. Loaner test instruments will be provided in the event that the lab is closed due to COVID.

ME219 is intended for graduate students who anticipate imagining and creating new products and who are interested in how to make the leap from making one to making many. Through a combination of lectures, weekly factory field trips, and multimedia presentations the class will help students acquire foundational professional experience with materials and materiality, manufacturing processes, and the business systems inside factories. We hope to instill in students a deep and life-long love of materials and manufacturing in order to make great products and tell a good story about each one. This class assumes basic knowledge of materials and manufacturing processes which result from taking ENGR 50, ME203, or equivalent course or life experience. This course is intended for graduate students only.

Students learn to define emotions as physiology, expression, and private experience using the automobile and shared space. Explores the meaning and impact of personal and user car experience. Reflective, narrative, and socio-cognitive techniques serve to make sense of mobility experiences; replay memories; examine engagement; understand user interviews. This course celebrates car fascination and leads the student through finding and telling the car experience through discussion, ethnographic research, interviews, and diverse individual and collaborative narrative methods-verbal, non-verbal, and in car experiences. Methods draw from socio-cognitive psychology, design thinking, and fine art, and are applied to the car or mobility experience. Course culminates in a final individual narrative presentation and group project demonstration. Class size limited to 18.

For master's students. Educational opportunities in high technology research and development labs in industry. Students engage in internship work and integrate that work into their academic program. Following internship work, students complete a research report outlining work activity, problems investigated, key results, and follow-up projects they expect to perform. Meets the requirements for curricular practical training for students on F-1 visas. Student is responsible for arranging own internship/employment and faculty sponsorship. Register under faculty sponsor's section number. All paperwork must be completed by student and faculty sponsor, as the Student Services Office does not sponsor CPT. Students are allowed only two quarters of CPT per degree program. Course may be repeated twice.

For Ph.D. students. Educational opportunities in high technology research and development labs in industry. Students engage in internship work and integrate that work into their academic program. Following internship work, students complete a research report outlining work activity, problems investigated, key results, and follow-up projects they expect to perform. Meets the requirements for curricular practical training for students on F-1 visas. Student is responsible for arranging own internship/employment and faculty sponsorship. Register under faculty sponsor's section number. All paperwork must be completed by student and faculty sponsor, as the student services office does not sponsor CPT. Students are allowed only two quarters of CPT per degree program. Course may be repeated twice.

Computer based solution of systems of algebraic equations obtained from engineering problems and eigen-system analysis, Gaussian elimination, effect of round-off error, operation counts, banded matrices arising from discretization of differential equations, ill-conditioned matrices, matrix theory, least square solution of unsolvable systems, solution of non-linear algebraic equations, eigenvalues and eigenvectors, similar matrices, unitary and Hermitian matrices, positive definiteness, Cayley-Hamilton theory and function of a matrix and iterative methods. Prerequisite: familiarity with computer programming, and MATH51.

Fundamentals of soft materials and soft composites in the aspects of mechanical characterization, polymer physics, mechanics, finite-element-analysis of large deformation, and advanced material fabrication including different 3D printing technologies. Stimuli-responsive soft composites for soft robotics and shape-morphing structures will be introduced. Examples such as material systems that respond to magnetic field, electrical field, pneumatic pressure, light, and heat will be discussed. Prerequisites: ME80

In this course, students will explore feedback control mechanisms that living organisms (cells) implement to execute their function. In addition, students will learn the basics of re-engineering feedback control systems in order for cells to execute new decision making behaviors. The focus will be on molecular level feedback control mechanisms for single cells with mention of cooperative feedback control for multicellular coordination as time permits. We will incorporate principles from Systems Biology, Control and Dynamical Systems Theory with Numerical and Stochastic Simulation. Basic biological mechanisms will be reviewed within the course to provide context and conceptual understanding. Ultimately, students with interest in control theoretic applications will learn how to use notions from control theory to accurately reason about cellular behavior.

This is a seminar on carbon dioxide and methane removal, utilization, and sequestration options, and their role in decarbonizing the global energy system. This course will cover topics including the global carbon balance, utilizing atmospheric carbon in engineered solutions, recycling and sequestering fossil-based carbon, and enhancing natural carbon sinks. The multidisciplinary lectures and discussions will cover elements of technology, economics, policy and social acceptance, and will be led by a series of guest lecturers.

The ME310ABC sequence immerses students in a real-world, engineering design experience in the spirit of a Silicon Valley start-up, managing the uncertainty inherent in entrepreneurial design. Teams of Stanford graduate students often partner with similar teams at international universities for a global perspective. Design challenges are frequently at the human interface: to robots, transportation devices, manufacturing, or medical technologies (http://me310.stanford.edu). In ME310A teams integrate corporate and market context, user definitions and need-finding, research on competing technologies, and focused early prototyping to deliver a proposal for detailed design in ME310BC.

Design course focusing on an integrated suite of computer tools: rapid prototyping, solid modeling, computer-aided machining, and computer numerical control manufacturing. Students choose, design, and manufacture individual products, emphasizing individual design process and computer design tools. Structured lab experiences build a basic CAD/CAM/CNC proficiency. Limited enrollment. Prerequisite: ME103 or equivalent and consent of instructor. ME 203 or consent of instructor.

Design course focusing on the process of injection molding as a prototyping and manufacturing tool. Coursework will include creating and evaluating initial design concepts, detailed part design, mold design, mold manufacturing, molding parts, and testing and evaluating the results. Students will work primarily on individually selected projects, using each project as a tool to continue developing and exercising individual design process. Lectures and field trips will provide students with context for their work in the Stanford Product Realization Lab. Prerequisite: ME318 or consent of instructors.

Guest speakers present research related to plasma science and engineering, ranging from fundamental plasma physics to industrial applications of plasma.

Exact and approximate analysis of fluid flow covering kinematics, global and differential equations of mass, momentum, and energy conservation. Forces and stresses in fluids. Euler's equations and the Bernoulli theorem applied to inviscid flows. Vorticity dynamics. Topics in irrotational flow: stream function and velocity potential for exact and approximate solutions; superposition of solutions; complex potential function; circulation and lift. Some boundary layer concepts.

Concepts and techniques for description of high-temperature and chemically reacting gases from a molecular point of view. Introductory kinetic theory, chemical thermodynamics, and statistical mechanics as applied to properties of gases and gas mixtures. Transport and thermodynamic properties, law of mass action, and equilibrium chemical composition. Maxwellian and Boltzmann distributions of velocity and molecular energy. Examples and applications from areas of current interest such as combustion and materials processing.

Thermodynamic analysis of energy systems emphasizing systematic methodology for and application of basic principles to generate quantitative understanding. Exergy, mixtures, reacting systems, phase equilibrium, chemical exergy, and modern computational methods for analysis. Prerequisites: undergraduate engineering thermodynamics and computer skills such as Matlab.

Individual storytelling action and reflective observations gives the course an evolving framework of evaluative methods, from engineering design; socio cognitive psychology; and art that are formed and reformed by collaborative development within the class. Stories attached to an idea, a discovery or starting up something new, are considered through iterative narrative work, storytelling as rapid prototyping and small group challenges. This course will use qualitative and quantitative methods for story engagement, assessment, and class determined research projects with practice exercises, artifacts, short papers and presentations. Graduate and Co-Term students from all programs welcome. Class size limited to 21.

Review of work in a particular research program and presentations of other related work.

Directed study for graduate engineering students on subjects of mutual interest to student and staff member. May be used to prepare for experimental research during a later quarter under 392. Faculty sponsor required.

Graduate engineering students undertake experimental investigation under guidance of staff member. Previous work under 391 may be required to provide background for experimental program. Faculty sponsor required.

Required of Ph.D. candidates in solid mechanics. Guest speakers present research topics related to mechanics theory, computational methods, and applications in science and engineering. May be repeated for credit.

Directed research experience for first-year Mechanical Engineering Ph.D. students with faculty sponsors. The student is responsible for arranging the faculty sponsor and registering under the faculty sponsor's section number. Course may be repeated up to four times in the first year. A different faculty sponsor must be selected each time.

Investigation of some engineering problems. Required of Engineer degree candidates

QFT principles for engineering applications in nano and microelectronics. Examples include quantum computing, topological quantum computing, and superconductivity. Focus on solids and quasiparticles. Relation between energy, momentum, and mass. Quantization, Klein Gordon, Dirac, Pauli, and Schrödinger equation. Introduction to topological states and the Majorana condition. Lagrange invariance and the need for gauge fields (electrodynamics).

Single particle and multi-particle fluid flow phenomena, mass, momentum and heat transfer, characteristic time and length scales, non-dimensional groups; collection of dispersed-phase elements: instantaneous and averaged descriptions for multiphase flow, Eulerian-Eulerian and Lagrangian-Eulerian statistical representations, mixture theories; models for drag, heat and mass transfer; dilute to dense two-phase flow, granular flows; computer simulation approaches for multiphase flows, emerging research topics. Prerequisites: graduate level fluid mechanics and engineering mathematics, and undergraduate engineering mechanics and thermodynamics.

Turbulence phenomenology; statistical description and the equations governing the mean flow; fluctuations and their energetics; turbulence closure problem, two-equation turbulence models, and second moment closures; non-local effect of pressure; rapid distortion analysis and effect of shear and compression on turbulence; effect of body forces on turbulent flows; buoyancy-generated turbulence; suppression of turbulence by stratification; turbulent flows of variable density; effect of rotation on homogeneous turbulence; turbulent flows with strong vortices. Prerequisites: 351B and 361A, or consent of instructor.

Ph.D. students may enroll for up to 3 units while working as a TA or CA. May be repeated for credit.