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design optimization, prototype construction, programming, modeling & simulation

Please note: This stream will be ending at the end of 2023.

WHAT WE DO

Key Points:

  • Design optimization.​

  • Design solutions for different design problems, goals, and contexts.

  • Exploring alternative design methodologies for a single problem.

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Detailed Description:

Often when a new part or product is designed, precise operating conditions are assumed. The real world, however, is messy, random, and chaotic: manufacturing equipment has errors, human operators err, weather is never quite how we predict, etc. So the designer despairs.

 

No.

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In this stream, we explore techniques that combine analytical and numerical design methodologies with prototyping and experimentation. Students will learn how to parametrize a design, optimize, prototype, and manufacture while examining the ways that uncertainty and randomness show up.

WHY IT MATTERS

Key Points:

  • Design skills are important to nearly all fields and disciplines.​

  • Design involves managing uncertainty while exploring all possible options and solutions.

  • Efficient and effective design saves time, saves money, and enables solutions to function better and longer.

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Detailed Description:

Design is present in many different fields, particularly engineering, but the concept of making something or making something better to solve a problem is ubiquitous.

 

In the same way, there is uncertainty in everything we do. Sometimes it can be ignored, and sometimes it can be avoided in a generalized way (e.g. making parts “twice as strong as they need to be”). As we push for greater performance (faster planes, more fuel-efficient cars, lower waste products) uncertainties need to be more carefully identified, studied, and incorporated into the design process minimizing the impact.

 

WHAT YOU LEARN

Key Points:

  • Technological environments such as Matlab, Python.

  •  Toolboxes previously developed for design optimization problems.

  • Physical methods: 3-D printing, laser cutting, manufacturing.

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Detailed Description:

Design parametrization, optimization software, laser cutting, 3-D printing, robust design principles, and uncertainty mitigation.

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