printer friendly pageME 317A: Design Methods: Product Definition
Systematic methodologies to define, develop, and produce world-class products. Student team projects to identify opportunities for improvement and develop a comprehensive product definition. Topics include value engineering, quality function deployment, FMEA and risk analysis, robustness, design for variety, design for life-cycle quality, financial analysis and Monte Carlo simulation. Students must take 317B to complete the project and obtain a letter grade. On-campus enrollment limited to 25; SCPD class size is limited to 75.
Last offered: Winter 2016
ME 317B: Design Methods: Quality By Design
Building on 317A, focus is on the implementation of competitive product design. Student groups apply structured methods to optimize the design of an improved product, and plan for its manufacture, testing, and service. The project deliverable is a comprehensive product and process specification. Topics: concept generation and selection (Pugh's Method), Poka Yoke, design for robustness, Monte Carlo and Design for Six Sigma, process capability analysis, financial analysis, and prototyping. On-campus class limited to 25. For SCPD students, limit is 75. Prerequisite: 317A.
Last offered: Spring 2016
ME 318: Computer-Aided Product Creation
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. Field trips demonstrate Stanford Product Realization Lab's relationship to the outside world. Structured lab experiences build a basic CAD/CAM/CNC proficiency. Limited enrollment. Prerequisite: consent of instructor.
Terms: Aut, Win, Spr
| Units: 4
Instructors:
Milroy, J. (PI)
ME 319: Fundamentals of Design for Design Thinkers
This course is an introduction to the fundamental principles of Design, geared toward graduate students involved and invested in innovation and design thinking. Core concepts include Contrast, Color, Materiality, Form, Proportion, Transitions, and more. Students will be introduced to the major philosophical concepts of design in readings and in class, and will practice techniques in class and via weekly hands-on projects out of class, culminating in a final personal project. Students will also be introduced to many hands-on prototyping and making skills via access to the Product Realization Lab and Room 36 (
webshop.stanford.edu)
Last offered: Autumn 2013
ME 320: Introduction to Robotics (CS 223A)
Robotics foundations in modeling, design, planning, and control. Class covers relevant results from geometry, kinematics, statics, dynamics, motion planning, and control, providing the basic methodologies and tools in robotics research and applications. Concepts and models are illustrated through physical robot platforms, interactive robot simulations, and video segments relevant to historical research developments or to emerging application areas in the field. Recommended: matrix algebra.
Terms: Win
| Units: 3
Instructors:
Khatib, O. (PI)
ME 321: Optofluidics: Interplay of Light and Fluids at the Micro and Nanoscale
Many optical systems in biology have sophisticated designs with functions that conventional optics cannot achieve: no synthetic materials, for example, can provide the camouflage capability exhibited by some animals. This course overviews recent efforts--some inspired by examples in biology--in using fluids, soft materials and nanostructures to create new functions in optics. Topics include electrowetting lenses, electronic inks, colloidal photonic crystals, bioinspired optical nanostructures, nanophotonic biosensors, lens-less optofluidic microscopes. The use of optics to control fluids is also discussed: optoelectronic tweezers, particle trapping and transport, microrheology, optofluidic sorters, fabrication and self-assembly of novel micro and nanostructures.
Terms: Win
| Units: 3
Instructors:
Tang, S. (PI)
ME 322: Kinematic Synthesis of Mechanisms
The rational design of linkages. Techniques to determine linkage proportions to fulfill design requirements using analytical, graphical, and computer based methods.
Last offered: Winter 2016
ME 323: Modeling and Identification of Mechanical Systems for Control
Lecture/Lab. The art and science behind developing mathematical models for control system design. Theoretical and practical system modeling and parameter identification. Frequency domain identification, parametric modeling, and black-box identification. Analytical work and laboratory experience with identification, controller implementation, and the implications of unmodeled dynamics and non-linearities. Prerequisites: linear algebra and system simulation with MATLAB/SIMULINK;
ENGR 105.
Last offered: Spring 2011
ME 324: Precision Engineering
Advances in engineering are often enabled by more accurate control of manufacturing and measuring tolerances. Concepts and technology enable precision such that the ratio of overall dimensions to uncertainty of measurement is large relative to normal engineering practice. Typical application areas: non-spherical optics, computer information storage devices, and manufacturing metrology systems. Application experience through design and manufacture of a precision engineering project, emphasizing the principles of precision engineering. Structured labs; field trips. Prerequisite: consent of instructors.
Terms: Spr
| Units: 4
Instructors:
Beach, D. (PI)
;
Flynn, M. (PI)
ME 325: Making Multiples: Scaled Manufacturing Tooling
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.
Terms: Aut, Win, Spr
| Units: 3
Instructors:
Kohn, M. (PI)
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