Thanks for the perspective, Scott. Your comments show us just how far we've come in terms of design tool advances. Sometimes, given the pace of technology evolution, these are improvements and innovations we take for granted.
As a young engineer I was tasked with properly documenting design parameters for a number of environmental systems that had evolved over time "based on experience". There were a lot of tables of empirical data I had to work from when it came to fluild flow, but I was totally stumped when it came to multi-phase flow in the condenser of a refrigeration unit. Oh what I would have given for a 3D CFD program at that time. Glad to see today's designers won't have to suffer my endless hours of research in a technical library looking for answers.
@Naperlou: You've hit on the mantra of design tool providers. It's all about increasing the ability to perform all types of simulations early on in the design process when it's so much cheaper to optimize and make changes. Mentor's point with this integration is that both 1D and 3D capabilities are required at different points in the design cycle and by integrating the technologies and workflow, engineers can easily avail themselves of the best of both worlds without introducing any inefficiencies and bottlenecks into their process.
The ability to simulate at the appropriate level early in the design phase is certianly the trend in the industry. Tight integration of the products provided by the vendor also enhances the process by automating processes that might have been manual before. The use of 1D analysis to get a quick answer is useful and often necessary, even with todays powerful machines.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
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.
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.
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.