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modern engineering is that there really are no easy problems leſt to solve. In order to meet the demands of industry, it’s no longer good enough to do ‘a bit of CFD’ or ‘some stress analysis’. Complex industrial problems require solutions that span a multitude of physical phenomena, which oſten can only be solved using simulation techniques that cross several engineering disciplines. What our customers are really asking for is the ability to ‘see the big picture’. Simulating whole systems rather than just individual components, taking account of all of the factors that are likely to influence to performance of their product in its operational life. In short, to simulate the performance of their design in the context that it will actually be used. Whereas previous generations of engineers


could take some comfort in the ‘safety net’ of extensive physical testing to rescue them from the occasional poor prediction, CAE is


COMPLEX INDUSTRIAL PROBLEMS REQUIRE SOLUTIONS


THAT REQUIRE A MULTITUDE OF PHYSICAL PHENOMENA BILL CLARK


increasingly the victim of its own success as simulation continues to displace hardware testing as industry’s verification method of choice. Although this increased confidence in simulation is well-deserved (and has been hard-earned through many years of successful prediction), it brings with it a great deal of pressure to ‘get the answer right’ every time.


An important part of this is ‘automated


design exploration’, in which the simulation results automatically drive design improvements, with minimal input from the engineer (other than defining the initial problem and design constraints). With this approach, CFD is used to compile databases of simulation results that explore the complete range of usage scenarios, or it is tied to optimisation technology (such as our HEEDS soſtware) to determine the best solution to a given problem automatically. Such are the magnitude of changes in the


past two decades of simulation technology that it would be foolish to speculate what might be happening 20 years from now. Whatever those changes are, I hope that SCW will still be around to report them.


Bill Clark is executive vice president of CD-adapco


COMPUTING TOOLS WILL NEED TO SUPPORT RESOURCES


FROM SMARTPHONES TO THE CLOUD JACK LITTLE


Tese four transformations are changing MathWorks solutions underpin thousands of engineering projects worldwide


Connected chips, devices, and systems Algorithm-rich devices and systems are increasingly connected: to each other, to service infrastructure, and to the internet. Tis enables new types of collaborative behaviour and functionality. It can also generate vast amounts of structured and unstructured data about the systems and their environments. Te associated Big Data trend creates opportunities for acting on the derived knowledge, but it also challenges us to find better ways to extract meaningful information from those huge volumes of data. Tis requires data analysis tools to deal with


larger volumes of data, with machine-learning, and algorithms that can extract knowledge.


www.scientific-computing.com l


People computing anywhere When mainframe computers were predominant, they could support millions of users sitting at terminals performing thousands of applications. Te advent of the PC increased that reach by perhaps one or two orders of magnitude. Now, the cloud provides a computing platform that can be accessed by billions of people performing millions of applications on a diverse range of devices. Tat has led to a completely different mindset: we do not go somewhere or carry something in order to compute; we expect to be able to compute anywhere we go. To meet user expectations, computing tools will need to support resources from smartphones to the cloud.


@scwmagazine


today’s markets and creating new ones. Tey are changing how we learn and how we live. And they challenge engineers and scientists to deal with the issues that they create, and to take advantage of the opportunities they present. MathWorks is delivering soſtware and


services that enable engineers and scientists to take advantage of these long-term transformations to solve their complex design and analysis problems. Model-Based Design accelerates the development and testing of algorithm-rich systems, from low-cost programmable chips to high-performance hardware-in-loop simulators. And you can run Matlab anywhere, on your mobile device, on the cloud. By understanding the long-term impact of these and other transformations, our goal is to ensure that engineers and scientists can use Matlab and Simulink to solve important problems, today and long into the future.


Jack Little is president of MathWorks AUGUST/SEPTEMBER 2014 23


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