Beth, this is where CAE codes make a big difference. It is possible to explore a large part of the design space in the computer. This gives the design team the ability find optimal, or near optimal, parameters for their rel-world testing.
Another interesting aspect is the cloud for CFD. These are highly parallel simulations that seem more amenable to massive parallel solutions. It is also interesting to see that this is a public cloud solution.
This is a great use of simulation, Beth. Incredibly improved efficiency. This same approach is getting used in building plants and setting up systems. simulation prior to build is saving both time and money.
@TJ: Wind tunnel testing is definitely still necessary, no doubt. What the team at Michael Waltrip is saying it that by leveraging simulation (and eventually even more high performance compute horsepower offered by the cloud), they can test out more possibilities and then use the wind tunnel testing (which is limited due to budgets) for validation of the best designs. Helps them explore more possibilities more efficiently and cost effectively--a refrain I hear consistently from simulation users.
Interesting analogy...NASCAR is like an "arms race". Of course the arms race is within the rules, and it depends on how the drivers and teams perform during the race. The competition is cutthroat, and that's part of the reason for NASCAR's popularity.
As for aerodynamics, it definitely plays a big role on the longer faster tracks. A damaged car body at Daytona or Talladega can rarely keep pace with the front runners, aerodynamics is just too critical at 190-210 miles per hour. Many non-fans have noticed the NASCAR "drafting", where at high-speed, two or more cars lined-up are faster than one car alone.
Watch the NASCAR race at Talladega Superspeedway (2.66 mile tri-oval with 33 degree high-bank turns) this Sunday (Oct 7th) to see why aerodynamics is so important in high-speed races. There is usually a huge number of lead changes during the race, 50 or more lead changes is not uncommon. The race record is a 188 mph speed average, qualifying record 212 mph. Frequently there is last lap passes to win the race, as the driver's know how to use aerodynamics to make passes ("overtaking" for you F1 people).
@RICKZ28: The arms race analogy is certainly different, but the Michael Waltrip team's choice of words, not mine. And you are right, aerodynamics is a huge design challenge for these racing teams. In fact, there are many, many stories about other race car teams leveraging advanced simulation software to do more of the same. Interesting, because these teams are out in front in terms of how they're incorporating simulation into their design workflows compared with many engineering organizations in traditional companies.
Michael Waltrip was going for the win on the last lap of the race at Talladega Superspeedway (Sunday, Oct 7, 2012)...so he did a good job in putting himself in a good position at the end of the race. Unfortunately, he got caught-up in a huge last lap crash, finished 25th.
I did enjoy the 54 lead changes during the 500 mile race (and that's only "official" lead changes at the start/finish line), as well as the fast 171 mph average speed. The high-speed race was all about the use of aerodynamics, including drafting.
Beth, one of the most fascinating demonstrations I have seen in the recent past was given by the SIM Center at the University of Tennessee at Chattanooga. It was a demonstration of the power of CFD in investigating air movement around 18 wheelers traveling at varying speeds. Grant money was furnished by the National Highway Traffic Safety Administration (NHTSA) and Peterbuilt. As a part of the demo, we were able to see how variations in cowling and "hardware" made differences in air patterns slipping over exterior surfaces of the cabs and trailers. I'm sure NASCAR could benefit from CFD and save hundreds of hours devoted to "cut and try". Great article.
Beth, right after the SIM Center moved from Mississippi State to UT Chattanooga, the Center arranged an open house for engineers interested in learning more about CFD. I went. The prospect of combining fluid dynamics with CAE really fascinated me. I was blown away by the capability of the software and the modeling techniques. The first demonstration used a tractor/trailer combination and modeling air flow around the cab and trailer at various speeds. The second model demonstrated air flow around an F- 18 Hornet and how that air flow varied when airfoil surfaces came into play. The graphics were absolutely stunning. One thing I came away with was the close correlration between model and reality. In the "old days", reality was hard to come by due to issues with the mathematical algorithm. An approximation within 25% was considered to be "state-of-the-art". Times have really changed.
Thanks for the added detail, Bob. You're absolutely right about the challenge of modeling to reality, however. While your 25% percent approximation figure has been greatly improved with the latest technology, it's still one of the challenges around CFD and simulation in general.
NASCAR is one of the most interesting "playgrounds" for engineering and cutting edge tools. Before I became a NASCAR fan, I thought they just got a showroom car and put a huge motor in it. Oh no, so much more! Design of roll cages and frames for driver safety, spring rates and shock response under varying conditions, engine building and tuning, aerodynamics. etc. F1 racing seems to have more electronic control over various parameters while the car is on the racetrack, while also using engineering applications in the design and test phases. A lot of engineers have found their "happy place" in the world of motorsports.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.