COMSOL Analysis of Induction Heating Technology

Modern food processing technology emerges in an endless stream. In order to assess the efficiency of such technologies and the equipment they use, researchers and engineers began to turn their attention to simulation tools such as COMSOL Multiphysics, where simulation apps can significantly expand the audience for numerical simulation and accelerate the process optimization process. Let's take a look at how the simulation app analyzes induction heating in food processing.

Induction heating: a viable food processing technology

Since ancient times, food processing has played an important role in providing consumers with quality food. People have long used preservative preservation, fermentation, and sun drying techniques to remove toxins and harmful microorganisms from foods in order to increase the shelf life of foods and enable them to be transported over long distances. Although some of the above technologies are still used today, the food industry has evolved into a more complex process in order to satisfy people's higher efficiency and quality.

Sunlight drying is one of the food processing technologies. The image was taken by Ariane CCM. Licensed CC BY-SA 3.0, shared via Wikimedia Commons.

Induction heating has become a popular choice in food processing. Compared to the method of heating the pipe by hot water or steam, the temperature can be better controlled by induction heating, which helps to prevent local high temperatures. Compared with food processing methods such as pasteurization, this technology can better preserve the quality of food while also increasing sterilization efficiency. What's more, because the food is not in direct contact with the coils, it is very easy to replace the pipes when processing different types of foods. At the same time, because this process is entirely dependent on electrical energy, almost no water is needed, which is another huge advantage.

The configuration of coils and pipes plays an important role in the reliability and efficiency of induction heating technology in food processing. As we will focus on in the following, the Numerical Simulation App is a powerful tool for testing various design configurations and quickly delivering accurate results to users.

Various design configurations for the App Pipeline induction heater

First, let's look at the underlying model of the Pipeline Induction Heater App. The model consists of a circular electromagnetic coil wrapped around a set of pipes and the fluid (liquid food) flows inside the pipe. When the alternating current passes through the coil, an alternating magnetic field is generated. Subsequently, the alternating magnetic field penetrates the pipe and generates eddy currents in the pipe, causing it to heat up.

The geometry of the pipeline induction heater model.

The App is designed to measure the heating efficiency of pipeline induction heaters for fluids flowing through the pipe, and is applicable to both ferritic stainless steel pipes and non-ferritic stainless steel pipes. Because the ferritic stainless steel component does not contain nickel, its price is relatively low and stable, which makes this material show new potential in food processing and is therefore very popular in the food industry.

We have already introduced the foundation for the creation of this app. Now let's focus on the design. Remember that when you design an app, you must be in control of all the included parameters, as well as the specific layout and structure. The ultimate goal is to customize a simple, easy-to-use tool for your specific needs.

The "pipeline induction heater" simulates the user interface (UI) of the App.

The Pipeline Induction Heater App consists of two main columns: the settings bar on the left and the graphic bar on the right. In the settings bar, users can easily modify the size of the pipes and coils. As a further guide, when the geometry input box is updated every time, the validity of the geometric state is displayed. The geometry state is valid only if the following conditions are met:

Coil length and position must match pipe length

Pipe thickness must be proportional to inner radius

If the above conditions are not satisfied, the geometric state will be judged as invalid until the necessary changes are made to the geometry. This helps to ensure that the user can obtain realistic simulation results when running the test.

Set the tabs of the bar.

At the same time, a series of input parameters are set in the Materials and Working Conditions column, including pipe material specifications, coil operating conditions, flow conditions, and target temperatures. The user has two predefined options on the pipe material: 410 stainless steel (martensitic alloy) and 410s stainless steel (ferritic alloy). For customization, the user can also select the stainless steel (user-defined) option to modify the material's conductivity and relative permeability.

After correspondingly modifying each parameter, the user can turn the focus to the graphic bar. Several plots are displayed here, including geometry, temperature and flux density, temperature of the fluid flowing along the pipe, flux density, fluid temperature, and fluid velocity amplitude.

When users get the results they want, simply create a report by clicking the Create Report button in the ribbon. In this way, they can easily share their findings with other colleagues in the design process.

Optimize the design of pipeline induction heaters in food processing

The simulation app is a powerful tool that hides complex physics under a simple, easy-to-use interface. By empowering more people to run their own simulation tests, these tools greatly increase the efficiency of the design workflow, while also ensuring the accuracy of the results obtained.

Here, we have demonstrated how this method can be used to optimize the design of induction heaters in food processing. Users can use the simulation app to easily test different configurations until the desired results are obtained. As this example shows, Simulation App can help speed up the optimization process of food processing technology. It is a viable resource for the perfect combination of quality and efficiency.

Similar to the other demo apps in the "Case Download" section of the website, the "wire tube induction heater" app is designed to inspire and guide you in developing your own simulation app. We encourage you to use it as your basis to create your own app so that users can modify this same parameter or replace relevant parameters to meet modeling requirements.

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