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sim.TLK App Simulating Vacuum Dryers for Weiss Technik

Customer Success Story: TLK Energy developed a customized sim.TLK App for Weiss Technik. The web simulator makes the configuration of vacuum dryers transparent, reduces effort in sales, and increases efficiency in design and development – practical and customer-oriented.

Thomas Blum

Thomas Blum

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November 10, 2025

Sim.TLK App for Weiss Technik

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Vacuum drying is an efficient and gentle drying method used not only in the food industry but also in battery cell production. For this purpose, Weiss Technik provides turnkey systems and develops customized, process-optimized vacuum drying solutions for efficient and safe battery manufacturing. The following article offers an insight into the work of Weiss Technik and our joint project. To support technical sales, we created a web-based simulator using our model libraries and the sim.TLK platform. With this tool, sales representatives can configure systems according to customer requirements and immediately receive a detailed thermodynamic overview of the system. At the end of this article, we take a closer look at vacuum drying in general, explain the underlying physical principle, and highlight its wide range of applications.

Coil Drying – A Crucial Step in the Production of Lithium-Ion Batteries

The term coils refers to the wound electrodes that are manufactured and further processed for the production of lithium-ion batteries. During production, electrode foils are coated with a mixture that contains, among other components, active material and solvent. The foils are then rolled into cylindrical shapes and dried. The dryness of the coils plays a decisive role in the performance and longevity of the batteries, making the drying process highly important – the rule is: the drier, the better. To achieve thorough drying with minimal time and energy consumption, vacuum drying is an excellent method.

„Electrode post-drying is one of the core processes in battery cell production. The web simulator developed by TLK Energy already supports us during the quotation and planning phases by enabling us to quickly and efficiently offer our customers the optimal system configuration tailored to their specific production parameters.“
— Katharina Mayer, Application Manager E-Mobility at Weiss Technik

Influencing Factors of Vacuum Drying – Managing Complexity Through Simulation

Drying in a vacuum dryer from Weiss Technik offers a vast range of possibilities for adjusting the drying process due to numerous variable factors.
In general, these factors can be divided into two categories:

1. Component configuration
This includes, among others:

  • Vacuum dryer geometry
  • Selection of the vacuum pump
  • Temperature control unit
  • Fan
  • As well as the geometry, number, and material of the coils.

2. Process control
This includes, for example:

  • The temperature and pressure profiles within the vacuum dryer
  • The activity of the fan
  • Compliance with specific safety routines

The multitude and interaction of these factors make manual optimization nearly impossible. To identify the ideal configuration for the defined objectives—such as achieving a specific drying time with minimal energy consumption—and at the same time provide the customer with an understanding of the overall system, the web-based simulation of vacuum drying with sim.TLK is used.

The Vacuum Dryer as a Simulation Model

Our simulation model is built using the object-oriented modeling language Modelica and is based on the models from our TIL Suite library. It represents all relevant core components and physical phenomena of vacuum coil drying.

Key model components

  • Coil
  • Gas inside the vacuum dryer
  • Vacuum dryer walls with temperature control unit
  • Vacuum pump
  • System control

Considered physical phenomena

  • Convective heat transfer
    (vacuum dryer walls ↔ gas, gas ↔ coil)
  • Radiative heat transfer
    (vacuum dryer walls ↔ coil)
  • Heat losses to the environment
  • Mass transfer processes
    (within the coil, coil ↔ gas, within the gas)

The model allows for free parameterization of all process variables such as geometries, process profiles, and materials. In addition, it provides an option for automated process control based on sensors and safety routines for handling flammable solvents.

Figure 1: Schematic of the simulation model – red: heat transfer; blue: mass transfer


With sim.TLK to a customized web simulator in the browser
The sim.TLK App, developed specifically for Weiss Technik, is accessible directly via browser login. The foundation for creating these web-based simulators is our simulation platform sim.TLK. The appearance was adapted to Weiss Technik’s corporate design, and the desired functions were implemented in a customized manner.

Compared to traditional software environments, the browser-based solution offers decisive advantages:

  • No installation effort: Authorized users can start immediately without additional applications or licenses.
  • Individual design: The application is tailored specifically for Weiss Technik – featuring custom result plots, interactive graphics, and coordinated color schemes.
  • Streamlined and user-friendly: By focusing on the most important parameters, the application ensures simple handling, ideal for use in both sales and research & development.

How versatile the sim.TLK App can be in practice is demonstrated by the following use cases from our joint project with Weiss Technik.

Use Case 1: Optimal Component Configuration with the sim.TLK App

When designing customer-specific vacuum dryers, Weiss Technik offers a wide selection of vacuum dryer components that can be flexibly combined into customized system configurations.

Variety of vacuum dryer components

  • Vacuum dryer types differ in usable space dimensions, gas volume, size and number of heated surfaces, as well as space requirements.
  • Pump systems vary in suction capacity, electrical power consumption, and gas ballast.
  • Temperature control units provide different heating and cooling capacities depending on the application.

Simulation as a decision-making tool
The customized web simulator makes it possible to virtually combine all these components and calculate complete vacuum dryer configurations. This enables rapid evaluation of different variants – from efficiency to energy demand – in the shortest possible time.

Figure 2: Selection of pre-parameterized vacuum dryer types in sim.TLK

From input to optimal configuration
The customized sim.TLK App is accessible via browser login. To create a tailored system configuration, the user first enters the key process and component parameters online:

  • Geometry and material of the coils
  • Desired number of coils in the vacuum dryer
  • Initial and target moisture content

These inputs form the basis for the calculation using dynamic online simulation.

Automated calculation of all relevant key figures
Based on the selected components and process parameters, the sim.TLK App generates a comprehensive analysis. The evaluation metrics were defined in collaboration with the customer and include, among others:

  • Productivity: Number of dried coils per unit of time
  • Cost evaluation: Total Cost of Ownership (including investment and operating costs)
  • Energy demand: Detailed breakdown into individual consumption categories
  • Space requirements: Required floor space of the dryer
  • Process parameters: Total drying time and required inert gas mass per cycle
  • Dynamic process curves: Visualization of the entire drying process

These results are presented to the user directly in the browser through interactive diagrams and clearly structured tables.

Customer benefits in the sales process
This not only accelerates the decision-making process but also provides the customer with a clear understanding of the overall system already during the planning phase.

Figure 3: Excerpt from the sim.TLK App results for vacuum coil drying

Use Case 2: Optimization of Process Control with the sim.TLK App

In addition to selecting the optimal component combination, the sim.TLK App is also well suited for a second important application: the optimization of process control.

Influencing factors on the drying process
The course of temperature and pressure – and thus the boiling point – as well as the moisture concentration in the gas and the flow velocity, have a significant impact on:

  • The drying time
  • The energy demand
  • The overall process efficiency

These complex interactions can be specifically analyzed and varied within the web simulator.

Static process control
In a static process control mode, users can define fixed pressure and temperature profiles in the simulator, as well as specify the conditions under which the fan in the vacuum dryer is activated (see Figure 4). The pressure profile indirectly controls the moisture behavior in the gas: each time the vacuum dryer is purged with dry inert gas, the largest possible moisture difference between the coil and the gas is created – a key driver for mass transfer.

Dynamic process control
For dynamic process control, the sim.TLK App developed for Weiss Technik simulates the use of a humidity sensor in the gas. This sensor measures the moisture content and thus indirectly the drying rate within the coil. Based on this data, various control strategies can be implemented, such as:

  • Defining threshold values for humidity and drying rates
  • Approaching different pressure levels
  • Automatic adjustment of pressure and temperature

As a result, the gas atmosphere remains consistently within a desired humidity range, ensuring a stable moisture gradient between the coil and the gas.

Benefits for sales and R&D
While static process control can primarily be used for customer consultation in sales, dynamic process control offers tremendous additional potential for research and development. Initial insights can be gained without costly and time-consuming experimental series – a clear advantage in the development of new processes.

Figure 4: Screenshot of the sim.TLK App showing inputs for static process control

Vacuum Drying in General: Physical Principle and Fields of Application

Drying, in general, refers to the removal of liquid from a material. To make this process – especially in technical applications – more efficient and gentle, vacuum drying has become an established method. It enables rapid drying at significantly lower temperatures compared to conventional techniques.

Typical fields of application
Vacuum drying is used across many industries, including:

  • Food industry: Gentle drying at low temperatures to extend shelf life without destroying heat-sensitive vitamins or aromas.
  • Pharmaceutical and chemical industries: Gentle processes for handling sensitive substances.
  • Plastics industry: Removal of residual moisture prior to further processing.
  • Battery cell production: Use of vacuum ovens, as demonstrated in the presented application with Weiss Technik.

The physical principle
The basic principle of vacuum drying is based on lowering the boiling temperature by reducing the pressure. The boiling point describes the condition at which a substance changes from the liquid to the gaseous state.

In general, the following applies: the lower the pressure, the lower the temperature at which a substance boils.

An example
At atmospheric pressure at sea level (≈ 1 bar), the boiling temperature of water is 100 °C. On Mount Everest, however, the pressure is only about 0.3 bar – there, water boils at around 70 °C (see Figure 5).

This means that in a vacuum, water (and thus residual moisture in materials) requires much less heating to evaporate. This enables particularly energy-efficient and gentle drying.

Figure 5: Vapor pressure curve of water

Implementation of vacuum drying
To achieve the pressure reduction required for vacuum drying, a vacuum pump is used to generate a pressure lower than the ambient atmospheric pressure. During this process, the vacuum chamber is heated until the corresponding boiling temperature is reached. The liquid within the material to be dried evaporates and mixes with the gas inside the vacuum chamber. During drying, the moist gas is regularly replaced with dry gas to maintain a constant moisture concentration gradient between the gas and the material. This allows continuous removal of residual moisture.

In addition to the two main components – the heating chamber and the vacuum pump – a vacuum dryer may also include a condenser. The condenser serves to condense and safely collect evaporated and potentially harmful substances, such as solvents, after the drying process.

Advantages of vacuum drying
Compared to conventional drying at ambient pressure, vacuum drying offers several key advantages:

  • Energy savings due to lower process temperatures (while accounting for the energy consumption of the vacuum pump)
  • Gentle treatment of heat-sensitive or hazardous substances
  • Improved safety through controlled process management and condensation of critical substances
  • Shorter drying times with simultaneously reduced energy consumption
  • Lower process costs through the combination of time and energy savings

Conclusion

The outcome of vacuum drying depends on numerous influencing factors, such as the temperature and pressure profiles, the geometry of the vacuum dryer, the characteristics of the vacuum pump, and the specific properties of the material being dried. These many factors can be integrated into simulation-based calculations using the sim.TLK App. Dynamic simulation models thus provide a fast and cost-effective way to realistically represent and analyze technical systems and processes. The web-based simulator for component selection and development of Weiss Technik vacuum dryers impressively demonstrates how simulation can save time, reduce costs, and make customer processes more transparent.

If you are also interested in a customized simulation model or a sim.TLK App for your technical system, feel free to try out the free demo version of sim.TLK. Or schedule an initial consultation directly – we look forward to hearing from you!

Thomas Blum

M.Sc.

Thomas Blum

Project Engineering & Pinch Analysis

TLK Energy

Thomas studied mechanical engineering with a focus on energy technology at RWTH Aachen and has been working at TLK Energy since 2022. His main areas of work are the modeling, simulation, and optimization of thermal systems, as well as the development of web tools using sim.TLK. He is also the contact person for support requests regarding the TIL Suite.

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