IoT sensors identify your product is operating ‘out of spec’. What next? Some lessons from the Avalon Airshow
The timing is right for the concept of Digital Twin to be embraced by Australian industry and defence. Learn how it has been made possible by the convergence of multiple trends, encompassing IoT data, big data analytics and ongoing advances in engineering software.
The water industry has a range of engineering challenges and specific regulatory requirements, especially concerning flow assurance, water quality, and even component selection. Learn how CFD delivers real value to the water industry - such as predicting complex flow behavior, across individual components or large network systems.
A How-To guide for Fluent Meshing's new Shrink Wrap tool which provides a powerful, easy-to-use solution for meshing complex STL geometries. This is a step-by-step guide on how to produce a high-quality CFD mesh for an abdominal aorta, imported in medium-resolution STL format (NIH).
For R&D and production engineers working in the pharmaceutical industry, the real challenges commence after a new drug molecule has been discovered. They are then tasked with taking a process that has been designed and verified at a small-scale (such in a test tube or a micro-reactor) and successfully reproducing this at an industrial scale (for full production volumes). This process is typically done in two stages: 1) by first designing a process and validating it at the pilot-scale where equipment has a size of around a metre, and once this equipment is working robustly, then 2) scaling-up to production-scale which often involves a linear scale-up of a factor of 10, which is equivalent to a volumetric scale-up of a factor of 1000! To an outsider, an obvious question is often “As chemical processes have been scaled up for hundreds of years, why does the process remain so challenging?” The answer lies in the impact of scale on fundamental processes, such as mixing, chemical reaction, separation etc… When drug development experiments are performed using micro-scale reactors, the engineers are dealing with laminar flows which means that the effects of mixing, contact time between phases, selectivity of chemical reactions etc…. can be very tightly controlled and are easily repeatable. As soon as larger scales are encountered, the flow becomes turbulent which means that the mixing process is harder to control and unforeseen inhomogeneities can lead to a broader spectrum of residence times and mixture concentrations within the vessel, significantly reducing the efficacy of the process. The end result is a product yield that can be far below that of the optimal process that was developed at an experimental scale, and the need for additional separation processes to remove unwanted reaction products or unreacted material - all of which have a major adverse impact on the company’s bottom-line. Fortunately, the use of Computational Fluid Dynamics (CFD) tools from ANSYS provides engineers with the ability to accurately design mixing vessel equipment at all scales (from lab to pilot-plant to production volumes) and, in doing so, deliver huge improvements to process efficacy and product homogeneity (with subsequent benefits to the bottom-line). How is this achieved? Well, rather than performing costly experiments at the intermediate “pilot-scale”, engineers are now conveniently able to design equipment using a virtual model which allows them to easily and accurately simulate the flow behaviour and understand the impact of all possible design parameters on the performance and efficiency of their process. Better yet, they are able to do this before they embark on expensive decisions such as equipment selection and construction commitment at production scale. Since they are...
What's changed in the world of multiphase flow modelling in the past 2-3 years? As always, an understanding of the physics of the system that you are modelling remains the number one priority, however, a number of new developments will help you address a wider range of multiphase flows and in a faster and more effective way.
Simulation technology allows us to accurately predict the thermal performance of electronics/electrical equipment during early design stages, giving engineers the confidence that thermal failures in the field (and the adverse warranty issues they may bring) can be considered a thing of the past.