I was reminded just how complicated and expensive it is to develop a jet engine when I came across a video describing GE’s recent $26 million Cdn investment to upgrade its Winnipeg test facility. That is on top of even bigger investments by Rolls-Royce ($50 million) and GE ($40 million) and in recent years. Physical testing is not only expensive, it is time consuming and can lengthen design cycles.
Meanwhile, it has become easier than ever to simulate engine performance prior to any physical testing. Improved techniques like harmonic analysis, turbomachinery-specific workflows and better validation coupled with faster, more capable high performance & cloud computing are quickly expanding simulation so engineers can be confident in their designs before the first prototype is ever built. While physical testing is not going away anytime soon, ANSYS is working on digital prototyping with leading turbomachinery companies and helping them to cut it down to size. Continue reading →
Transient blade row simulations in turbomachinery are needed either to improve the aerodynamic performance predictions or because the flow interaction we are trying to resolve and predict is unsteady in nature such as aeromechanical, aerothermodynamic or aeroacoustic interactions. Because the blade pitch is not similar between the rows of turbine or compressor, a transient blade row simulation will usually require the modeling of the full wheel (or full geometry). This constraint renders these simulations not practical and in many cases prohibitive as analysis or design tools.Continue reading →
Over the last six months, significant progress has been made to foster Transatlantic collaboration in the area of in silico medicine. I say significant because the collaboration is now being fostered beyond the technical level. It is happening at the regulatory and policy levels. On October 11th, 2016, the U.S. FDA spoke at the European Parliament as part of an inauguration event for the Avicenna Alliance, the association of predictive medicine, of which ANSYS is a founding member. Last week, the collaboration was reciprocated. The Avicenna Alliance was invited by the FDA and by the staff of Senator T. Cochran to discuss the role of in silico medicine in both a technical context at the 2017 BMES conference and also at the policy level on Capitol Hill. Continue reading →
Who was it that said “Nothing in life is free?” Whomever it was, they were wrong. There are a ton of amazing things in life that are free — including our ANSYS Student Version products! Speaking from experience, there has never been a time I have appreciated something free more than when I was a student working my way through college.
In late 2015, we launched our ANSYS Student free download, and since then have released several updated versions. Just recently we made some exciting changes with our new Student Product page boasting two new ANSYS Student Products for Windows x64: ANSYS AIM Student 18 and ANSYS Student 18. Both are now renewable, 12-month product licenses with a shorter and simpler download process. Best of all, we’ve eliminated the need for you to fuss with a separate download key!Continue reading →
Airlines and aircraft manufacturers are doing everything they can to lower their costs, including lightweighting every component possible, which can improve fuel efficiency. The industry spends more than a hundred billion dollars on fuel every year. While the price of oil is relatively low today, manufacturers and airlines must look ahead to the more than 25-year life span of the average airplane, assuming someday prices will rise again. Cost is a major driver, but the industry is also committed to reducing emissions during flight, and reducing fuel burn from the engine helps achieve this goal. Lightweighting, then, is one of the most important trends in the aerospace industry, and using composites, that can offer the required strength but at lower weight than metals, in manufacturing is a key strategy.
Many engineers are using powerful simulation software but are still not deploying HPC to the full extent. Case in point, I presume most of you have heard about the 24 Hours of Le Mans race. There is one starting June 17. I find it very exciting, not least because teams of three drivers per car compete to complete the most laps around the 13.629-km Circuit de la Sarthe in 24 hours! The race cars reach more than 320 km/h on the straightaway, spending most of the 24 hours at full throttle.
Imagine the roar of the engine drowning out the cheers of the crowds as you speed smoothly around the track in a finely tuned (thanks to simulation) race car. Now imagine the track is a country road or dirt road, not so smooth or speedy now, is it? Continue reading →
Most of Brazil’s offshore resources are in deep waters so Petrobras has fostered substantial expertise to develop these fields. One area of importance is the design of marine vessels to withstand the extreme waves. While the discovery of 50 billion barrels of oil in recent decades has been a boon to Brazil’s economic outlook, the location of the oil has produced challenging engineering problems. Lying hundreds of kilometers offshore under up to 3,000 meters of seawater, 2,000 meters of rock and 2,000 meters of salt, the oil reserves are some of the most difficult to access on Earth. Engineers are systematically using best design practices and computational fluid dynamics (CFD) to increase the safety of marine structures and vessels used to drill and produce oil from Santos Basin fields.
Computational fluid dynamics simulation of an FPSO in extreme waves.
Unsteady methods are becoming increasingly important in turbomachinery design and optimization because they model transient flows and performance more realistically. Unfortunately, using time-accurate CFD simulations to understand these unsteady flows in compressor stages can be computationally expensive. In recent years, ANSYS has been working on methods for modelling the transient flows in turbomachinery stages that require as few as single-blade passages per row but with equivalent accuracy. As a result, engineers can drastically reduce computational time and memory resources by up to 10X. Continue reading →
Since starting out as a segmented group of individuals passionate about high-speed technology, Berkeley Hyperloop (bLoop) has come a long way in our (roughly) two years of existence. What started as a vague mission to create a broader impact on the future of transport is now a tangible team of engineers, designers, marketers, logisticians and everything in between and we have no plans of stopping now. Of course, we didn’t do it alone. We’d be remiss if we did not acknowledge the generous support of sponsors like ANSYS, sponsors that have helped us realize the dream of designing and bringing a functional Hyperloop pod to that only existed in our wildest dreams up until a few months ago.
Why is this exciting and important? This enhanced digital twin demonstrates a multi-domain system including fluids, electromechanical, electromagnetics and thermal aspects, coupled with a user friendly Human Machine Interface (HMI), to solve a challenging problem that faces motor designers and operators — determining, monitoring and maintaining the optimal temperature at which to operate the motor and its components on a consistent basis. Why does this matter? Every 10 degree Celsius increase in operating temperature of the motor and components over their optimum temperatures decreases the life of the motor by half!Continue reading →