41 - 50 of 184 results for: ME

Lecture/lab. Third in the series on programmable electromechanical systems design. Topics: inter-processor communication, communication protocols, system design with multiple microprocessors, architecture and assembly language programming for the PIC microcontroller, controlling the embedded software tool chain, A/D and D/A techniques. Team project. Lab fee. Limited enrollment. Prerequisite: 218B.

Lecture/lab. Industrially sponsored project is the culmination of the Smart Product Design sequence. Student teams take on an industrial project requiring application and extension of knowledge gained in the prior three quarters, including prototyping of a final solution with hardware, software, and professional documentation and presentation. Lectures extend the students' knowledge of electronic and software design, and electronic manufacturing techniques. Topics: chip level design of microprocessor systems, real time operating systems, alternate microprocessor architectures, and PCB layout and fabrication. Prerequisite: 218C.

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. By application only, see notes below.

Sensors are widely used in scientific research and as an integral part of commercial products and automated systems. The basic principles for sensing displacement, force, pressure, acceleration, temperature, optical radiation, nuclear radiation, and other physical parameters. Performance, cost, and operating requirements of available sensors. Elementary electronic circuits which are typically used with sensors. Lecture demonstration of a representative sensor from each category elucidates operating principles and typical performance. Lab experiments with off-the-shelf devices. Recommended Pre-requisites or equivalent knowledge: Physics 43 electromagnetism, Physics 41 mechanics, Math 53 Taylor series approximation, 2nd order Ordinary Diff Eqns, ENGR40A/Engr40 or ME210, i.e. some exposure to building basic circuits

Students will learn how to design and build the mechanical hardware of robots. The goal is to take people with minimal robot-building experience and have them building professional-quality robots by the end of the quarter. The course will consist of three labs and a final project, each of which will entail building an interesting robotic device. Topics include robot actuators, sensors, transmissions, rotary and linear motion, standard mechanisms, electronics, high-level software design, and safety. Some experience with Python and/or C++ is preferred.

Scaling Up is intended for design and engineering-oriented students who anticipate or have an interest in launching products. Where the cousin of this class, ME219, is an overview of fabrication and factory systems, this course explores how to go from vision to reality, and from parts to products. We'll explore the systems that enable us to design and produce high-quality products, at scale, at reasonable prices, including quality systems, supply chains, and different ways of conveying intent to factories. Students will acquire a professional foundation in the business of manufacturing through readings, in-class discussion, and roughly one-a-week team projects. By application only, see notes below.

Fluency with data elevates your impact as a mechanical designer by driving quantitative design choices, rich analyses, and crisp communication. This course demystifies fundamentals like tolerance analyses and failure modes effects analyses. We will use interferential statistics to determine process sensitivity, and calculate if processes are capable within specification limits. Later we will wrangle large datasets in Python to produce rich visualizations and control recommendations. Finally, we will generate a discrete event simulation of an automated manufacturing line to increase production capacity.

Design for Additive Manufacturing (DfAM) combines the fields of Design for Manufacturability (DfM) and Additive Manufacturing (AM). ME127 will introduce the capabilities and limitations of various AM technologies and apply the principles of DfM in order to design models fit for printing. Students will use Computer Aided Design (CAD) software to create and analyze models and then print them using machines and resources in the Product Realization Lab. Topics include: design for rapid prototyping, material selection, post-processing and finishing, CAD simulation, algorithmic modeling, additive tooling and fixtures, and additive manufacturing at scale. Prerequisite: ME102 and ME80, or consent of instructor. By application only, see notes below.

This seminar series provides an overview of current and emerging research topics in mechanical engineering and its application to engineering and scientific problems. The seminar is targeted at senior mechanical engineering undergraduates and mechanical engineering graduate students. Presenters will be selected external speakers who feature exciting and cutting-edge research of mechanical engineering.