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R&D: It doesn’t have to be a roadblock.
EvoPhase delivers more than solutions; we inspire transformational change designed to set you on a path of innovation and sustainability.
The landscape of industrial R&D is anything but simple. From high costs to time-consuming trial and error, optimizing processes and equipment designs often feels like a never-ending maze and sometimes a prohibitive barrier.
On the right: evolving a ribbon mixer design; showing over 300 unique designs, only using 15% of the geometry kernel’s capabilities..
Using computing power is a solution to reducing the time and effort required to accelerate R&D across all industries and expedite process improvement and new development.
CFD (Computational Fluid Dynamics) is a well understood technology and has been used for decades. However. 50% of the world’s products and processes use granular materials in production rather than fluids alone.
The complexity multiplies when dealing with granular materials. Unlike fluids or gases, they create unique challenges that traditional methods struggle to resolve.
Granular materials are much more difficult to characterise and understand. For example, if you consider coffee, the granules are a solid when you look at them in the container, they are like a liquid when you pour them out of the container, and if you blow on them they become gas-like. Thus, granular materials are the most complex form of matter to process in industrial systems.
Above: evolving an attritor mill design achieving 46% power reduction while keeping the grinding balls stress constant relative to an industry-standard design.
With traditional trial and error design methods even when a new design is finalised – can you be sure that this is the best optimum process design that maximises the solution potential for your company (highest throughput, lowest energy usage, minimised waste, best and most consistent product quality)?
EvoPhase believe that implementing DEM (Discrete Element Method) alongside cutting-edge Al technologies and advanced optimisation algorithms into engineering design is pioneering a revolution in industrial process efficiency.