A good bibliography for improving the club-level racer and track day driver's knowledge of data interpretation might begin with the bible of making data intelligible, Buddy Fey's seminal work, "Data Power!" Fey, a noted race engineer and one of the "early adopters" of data logging from the the late 1980's to the present day, combines plain spoken delivery with an extraordinary depth and breadth of experience. Fey's open, authoritative tome is STILL cited in one of the most modern books because the information presented is still that valuable! Think of it as a data-specific extension of Carroll Smith's timeless "Prepare to Win" series.
In our second featured article, Race Coach and Data Guy Peter Krause, he'll give us a great overview of the many book options that are out there for us to read.
A good bibliography for improving the club-level racer and track day driver's knowledge of data interpretation might begin with the bible of making data intelligible, Buddy Fey's seminal work, "Data Power!" Fey, a noted race engineer and one of the "early adopters" of data logging from the the late 1980's to the present day, combines plain spoken delivery with an extraordinary depth and breadth of experience. Fey's open, authoritative tome is STILL cited in one of the most modern books because the information presented is still that valuable! Think of it as a data-specific extension of Carroll Smith's timeless "Prepare to Win" series.
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If you've made it to this blog, you're probably familiar with the friction circle. As a quick review, it’s the theoretical circle of forces that a tire can develop – 100% accelerating, 100% braking, or 100% cornering in either direction. The exciting part is as soon as you start using less than 100% of one direction, you can start using some of another direction. This idea is what gives us the friction circle. The actual friction circle that the car can achieve is shaped sort of like a heart without the divot in the top. Some Googling says the shape is real name for the shape is a curvilinear triangle. Who knew?
I started this site after my search for data acquisition information. I found some systems, some random articles, but nothing substantive. I hope to create a “clearing house” of sorts for data acquisition information, systems, and knowledge. Not everyone will want to see or use all parts of the site, but I think there will be something for everyone. Whether you want to check out some data files, see what other people look for in data, or see (and buy) some books, this is your place.
If there are things you want to see or places you know of, shoot me a note. I’ll be glad to include them in the mix |
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