In the pharmaceutical industry, mixing is absolutely necessary to ensure an homogenous, precise, and consistent product. Selecting the correct pharmaceutical equipment for your application depends on what is being mixed. This comes down to the properties of the substance including, among other things, viscosity, particle size, miscibility, texture, and chemical formula. Whether selecting an existing pharmaceutical mixer or designing new kind of blending equipment, it should be tested to ensure it is producing a consistent product while keeping batch times and energy use to a minimum. This is where computational fluid dynamics (CFD) can offer support.
Typical Pharmaceutical Mixing Applications
Pharmaceutical mixing equipment is required in the production of substances such as:
Pharmaceuticals and biopharma
Therapeutic creams and lotions
How Can Online Simulation with SimScale Benefit Pharmaceutical Mixing Applications?
In such a highly-regulated industry, you need equipment that you can rely on to produce pure, safe, and effective substances. Using CAE capabilities, an engineer can easily assess the performance, efficiency, and effectiveness of a pharmaceutical mixer design. CFD offers clear insights into fluid mixing, flow patterns, and more to help you identify whether your mixing equipment will produce the smooth product you need to adhere to regulations.
In pharmaceutical mixing equipment, the mixing ability needs to be consistent in all areas. In this project, you can see how transient simulation can be used to analyze the flow patterns and effectiveness of a mixing tank. Take a look at the project and results in this SimScale presentation.
When you need to see how well liquids are being stirred to form a homogenous product, CFD can help. Easily assess how your pharmaceutical mixing equipment mixes and transfers your pharmaceutical product. To discover how you can use multiphase flow to evaluate stirring capability, take a look at this project.
Fluence Analytics virtually tested 25 different design configurations within minutes
“We wanted to incorporate computer-aided engineering (CAE) to better understand our design choices without having to execute many expensive prototype runs. Without the use of SimScale, we would have had to allocate more money to test our design choices. By applying numerical simulations we managed to establish an efficient and cost-effective way to gather data used in design choices.”
SYSTAG reduced heat flux variation in a lab reactor system by 60% with SimScale
“The support of the engineers at SimScale was crucial to get fast and accurate results as well as overcome any minor obstacles encountered in the process.”
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