Embedded World 2018 is just around the corner and we’re excited. Embedded World brings together over 30,000 embedded systems and software professionals focusing on new technologies in embedded systems and software, and I’m pleased to let you know that ANSYS will be there again this year in booth 4-631, located in Hall 4.
Engineering problems can be quite straight forward when confined to a single size scale. For example, designing an elephant-proof fence is simply an exercise welding together enough big steel bars. But what if it also has to confine mice? By mixing the very large and very small size scales, the mouse introduces a whole new set of problems that will greatly complicate the design and construction of the fence. Tiny gaps irrelevant to the elephant can be escape ways for the mouse!
For every product powered by batteries — cellphones, hybrid and electric vehicles, implantable medical devices, drones, industrial equipment — there is an end user who is concerned about a battery’s longevity. Whether you are trying to find an outlet to check your emails before your cellphone dies, wondering how many miles your drone can fly before it falls from the sky, or hoping to delay the surgical procedure needed to change the battery in your implanted defibrillator, battery longevity affects us all at one time or another.
LEDs are increasingly used in automobile headlights because of their small size and reduced energy consumption. But, though they are much more energy efficient than traditional headlights, most of the energy required is converted to heat rather than light — 70 percent, in fact. This presents a challenge to engineers and designers because, since they are semiconductor-based, the diode junction of LEDs must be kept below 120 C. Maintaining temperature below this limit typically involves cooling airflow from an electric fan combined with heat sink fins.
Developing a luxury electric vehicle (EV) from scratch with a short deadline demands organization and access to the right technology to get the job done. Lucid Motors of Menlo Park, California, met the first challenge by putting all the engineers in one room so the structural and aerodynamics engineers would know what the battery, motor and power electronics engineers were doing, right from the start. This collaborative environment has helped them to design a unique automobile with more passenger space by reshaping the battery stack, while optimizing the electric motor, the cooling system, the aerodynamics and the battery life.
Read any automotive-related article and I’m sure it discusses autonomous cars and Advanced Driver Assistance Systems (ADAS) – the benefits, the challenges and what the future may hold. More and more auto makers are moving towards autonomous developing vehicles, but many of the systems that will eventually be integrated into these vehicles to make them fully autonomous are being developed today. In fact, you probably have some of them in the car you are driving now — Collision Mitigation Braking, Lane Departure Warning, Blind Spot Warning, and Lane Keeping Assistance to name a few. These ADAS applications present a new set of challenges and require a multi-disciplinary development approach. You can read more about these development areas in a blog written by my colleague, Sandeep Sovani.
When reducing the mass of your models, are you also optimizing for other important design elements such as thermal performance, fabrication constraints or if the casting needs to be water-tight?
Thermal problems are very common in engineering design such as automotive powertrain, electronic cooling system, etc. Topology optimization can also be applied for thermal analysis to improve the cooling performance or for coupled thermal-mechanical analysis to improve the thermal and structural performance simultaneously. Continue reading
Rather than just listing all the new capabilities for system simulation and analysis in the latest release of ANSYS Simplorer, I thought it would be interesting to share a cool example of how our systems capabilities have been applied to health monitoring of an automotive braking system. And along the way, I’ll highlight how the advancements in ANSYS 18 help our customers model and simulate systems such as these.
This example illustrates a physics-based system model intended to support health monitoring and predictive maintenance of automotive braking systems. And while this is an automotive example, our customers throughout different industries are developing similar capabilities to monitor and manage the performance of their products in operation — all in the name of improving safety, performance, and overall customer satisfaction. Continue reading
Additive manufacturing (AM), topology optimization and 3-D printing have produced some remarkable changes in the manufacturing sector, enabling companies to make parts whose geometries would have been all but impossible using traditional techniques. Still, being a relatively young technology, AM faces some challenges before it can enjoy more widespread use.
Since the 1960s, Dr. Gordon Moore’s prediction that computing performance will double every 12 to 18 months has held true. More recently, the gains in computing performance have been enabled by a combination of hardware and software technologies, such as multi-core, multi-threaded designs. The conveniences of the modern world — ubiquitous communication through internet-enabled phones, electronic payments and digital streaming, to name a few, are partly due to continuous engineering innovations delivered through cheaper, faster, more-precise electronics. Continue reading