We're expected to cover a wide variety of fields for a given project, including mechanical power transmission, electrical circuit protection, servo driven motion control, hydraulics, pneumatics, magnetics, lubrication, optics, and chemical compatibility. That's a pretty diverse list. The term "engineer" is used as a catchall, but it doesn't convey the broad list of tasks and fields we must cover to solve that problem.
What are we, then? We're the multi-talented, multi-skilled tool used to solve problems -- society's Swiss Army knife.
Oh, there may be some tasks needing a larger blade than that found on a Swiss Army knife. Some of us are highly specialized. Some focus on one or two aspects of the problem to be solved. One way or the other, we're going to cut right to the heart of the problem.
Even though National Engineers Week has passed, get the word out -- tell people what sort of knife you are.
I teach an introduction to engineering seminar to grade 6 students and I tell them that engineers are "the ones who take science and make it affordable". The sample is a pencil that has 8 pieces and with parts costs, assembly, shipping, handling, etc., it sells for less than 10 cents - AND - the store selling it and everyone in between made a profit! That's engineering.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
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.