Cleanroom Design Optimization

Simulation for Cleanroom Design

Cleanrooms are required for activities performed under a controlled environment and containing a low level of pollutants, such as pharmaceutical research and semiconductor manufacturing. One way to ensure proper cleanroom design is through simulation analysis.

Depending on the application, contaminating particles are often found in cleanrooms, and if not designed properly,  could have negative effects on the product and those inside the lab. One cost-effective way to ensure contamination control is through SimScale’s CFD analysis.

Cleanrooms can use up to 50 times more energy than non-classified areas, which can get expensive. With high regulatory standards, optimizing energy efficiency is not only necessary but can have added financial benefits.

Using simulation software as part of the design process, cleanroom designers can evaluate their design performance, optimize airflow and air change effectiveness, decrease the risk of contamination, and increase energy efficiency.

Free Cleanroom Design Webinar

Want to learn how to leverage cloud CAD and CAE in designing cleanrooms?

Register for our free webinar on the 12. of January 2017, at 5 pm CET and learn how to optimize your cleanroom design and improve contamination control using Onshape and SimScale together.

Simulation Features

  1. Air Change Effectiveness
  2. Gaseous and Particle Distribution
  3. Laminar Flow Speed Efficiency
  4. Energy Efficiency
  5. Air Distribution Layout
  6. Purge time
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Cleanroom Design Optimization

Cleanroom Design Optimization- Contamination Control

HVAC solutions play an important role in designing cleanrooms and in principal achieving an energy efficient model. This is incredibly important for lowering operating costs. Some of the energy efficient concepts are to reduce exhaust, room size, room air leakage, pressure drop and simultaneous heating and cooling. All of these can be analysed using engineering simulation and in particular CFD software.

Cleanroom design optimisation