That feeling when the robot don’t work during a match.

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That feeling when the robot don’t work during a match.
When you won’t stop talking about robotics around your non-robotics friends
A mathematician is a device for turning coffee into theorems.
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More Than You Ever Wanted to Know About Mechanical Engineering, Part 20: Failure of Ductile Materials Under Static Loading - Maximum Shear Approach
We’ve been examining the how and why parts fail in the last couple of articles. Right now, we’re just looking at the failures that occur in ductile materials in a situation of static loading. Last time, we explored this problem from a strain energy point of view and came to the conclusion that distortion energy - that is, strain energy associated with shear stress and a change in shape, rather than volume - is the primary culprit in this mechanism of failure. We came up with a fairly complex method of relating distortion energy to standard tensile yield strength that let us predict failure in a situation of complex loading.
But if we’re saying that shear stress is the cause of ductile failures in static loading, it seems like it would be easier to do this just by looking at shear stress in a part alone.
It is, in fact. It turns out that you can make a good guess at whether a ductile material in static loading will fail by comparing the maximum shear it experiences to the shear it experiences in pure tension at the point where it yields. For pure tension, the shear at this point is half of the tensile yield strength. So we’d be comparing the maximum shear stress in a part to this:
So how well does this work compared with the more complicated distortion energy approach? Well, take a look at this:
(Image from Machine Design: An Integrated Approach, 4th Ed., by Robert L. Norton, original source Mechanical Behavior of Materials, by N.E. Dowling.)
The axes of this graph are principal stresses, normalized to yield strengths. The ellipse is the failure envelope of the distortion energy theory - data points within it are considered safe according to this theory, and failures occur at its boundaries. The hexagon inscribed inside it is the failure envelope for the maximum shear theory. The data points show the points of failure for a number of materials.
You can clearly see that the distortion energy theory is pretty accurate - there’s a nice cluster of data points along its borders. The maximum shear theory is a little less accurate - the data isn’t a perfect match - but it’s also more conservative. For a ductile material in static loading, you’re not going to risk a failure by using maximum shear theory instead of distortion energy theory. If you want something really accurate, distortion energy theory is still your best bet, but if you need something quick and dirty, maximum shear needs less math.
Note that there’s one set of data here that doesn’t really fit with either distortion energy or maximum shear theory. The dataset for cast iron is all over the place. The reason it doesn’t fit is that cast iron is a brittle material - to successfully predict failures of brittle materials, we’ll need a different set of tools.
Off Season Fall 2015
Hey guys, FRC team 1164 has now officially started the off season for fall 2015. We are extremely excited to start with our team veterans and newbies, and are currently preparing an exposition T-Shirt canon bot! please visit our social medias and our website, here. sparky-384 frc-team1243 team2896damien team3313 1533triplestrange 1810jaguarrobotics frc2228
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How ya doing over there? XD shout out to @titaniumtigers2944 for blowing up our notifications. #omgrobots
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We loved our regional and we love our team!! Thanks to the Thunderdogs for sharing an awesome experience with us!!!!
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The team got our spirit captain her own spirit award!! She cried. A lot. ❤️🎉🎀 Congrats Alyssa! #spirit #spirtproblems #love #omgrobots #oneteamonedream
Amazing year this year!!!
We salute you. 👏👏👏
Our Spirit Mentor Alex. 👏👏👏 #omgrobots #oneteamonedream #spirit #spirtproblems
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