We caught up with KV Racing's Eric Cowdin a couple of days before the Indy 500 to talk about the importance of electronics and engineering when it comes to getting a top finish at the race.
KV Racing, which scored a third-place finish with Tony Kanaan on Sunday (May 27) at the Indy 500, is supported by both Mouser and Littelfuse.
Cowdin said his team "relies very heavily" on its partners, Chevy and Ilmor, for engineering most of the engine work, but also does its own gearbox and clutch tuning to the driver's specifications. "But we all work as a team to try to get the best out of the driver and out of the car," he said.
This year, KV Racing showed up to the track with a brand new car, which meant the team had to thoroughly test its vehicles in a wind tunnel before the Indy 500, which had also changed the specs about two months prior to the race.
Learn more about the Indy 500 at Littelfuse's Speed2Design site.
IndyCar changing the car specs two months before the Indy 500 race, now that sounds like typical engineering! It can be very challenging to meet customer requirements and due dates when they (customers) change their requirements.
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.