How CFD Analysis Revolutionizes Climate Systems in Can Manufacturing

Colt International | 14 October 2024

It can be a challenge to analyse and control the internal climate of a building. Environmental conditions and internal factors influence the working conditions in manufacturing plants. But how do you analyse and control the internal climate? In this article you can read about the influence of Computational Flow Dynamics (CFD)-analysis on creating excellent working conditions in the can manufacturing industry.

What factors influence the working conditions in can manufacturing plants?

The internal climate of a building is influenced by several factors: its location, orientation, materials used, and, of course, the building’s purpose. The building interacts with its environment, which causes its internal climate to change with seasonal weather conditions and temperature fluctuations.

In the can manufacturing industry, additional factors come into play: high internal heat loads, required process air, humidity, and contamination resulting from production processes, such as metal particles, oils, and vapors. These processes demand a well-regulated internal climate to ensure product quality and favorable working conditions.

How do you analyse the working conditions?

Simulation techniques like Computational Fluid Dynamics(CFD) provide a reliable method for predicting airflow and temperature distribution. A 3D computer model of the relevant factory or space is created for this purpose, consisting of thousands to millions of control volumetric elements. This model can be used to calculate and graphically represent airflow, temperatures, air pressure, and concentrations of contaminants. A building or process is analyzed from all perspectives using a model of the environment.

How does CFD-analysis work?

CFD simulations analyze systems involving mass and heat transfer, as well as associated phenomena, by solving the fundamental equations of dynamic fluid flow. These equations are the mathematical expressions of the conservation laws of physics. The input requirements for CFD models are complex and require expertise in defining the correct input parameters and assessing the feasibility of the calculated results.

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How can CFD-analysis be leveraged in the can manufacturing industry?

CFD analysis can be used to develop the best climate system to achieve the ideal working conditions: a comfortable, safe, and energy-efficient internal climate, while avoiding unnecessary oversizing.

With CFD, it is possible to:

  • Quantify expected effects (such as temperatures, airspeeds, emissions, and pressure).
  • Discover unexpected effects and optimize them.
  • Implement "what if" scenarios.
  • Use animations to visualize airflow.

How does Colt improve the working conditions in your plant?

Colt's philosophy is to provide a tailored climate system for each customer. We achieve this through our advanced measurement and simulation techniques, which allow us to map out every specific situation.

With detailed measurement results, Colt experts can identify potential issues and recommend improvements and solutions. The detailed analysis enables us to design tailor-made concepts fully suited to the situation, providing systems that are guaranteed to perform as required.

After commissioning, Colt validates the CFD results with an on-site survey. Colt uses the latest technologies to conduct studies in thermal and acoustic climates, airflow and pressure, air quality, and safety.

Colt Designs complex climate systems

This approach has enabled Colt to provide thousands of organizations worldwide with a suitable system. In many projects within the can manufacturing industry, this approach has proven its value. Colt frequently uses simulation techniques in such projects.

These methods make Colt an excellent partner for designing complex ventilation systems in the can manufacturing industry. We not only design, produce, and install the system, but also provide certainty and guarantee the desired results!

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Colt International
Colt International