Intelligent filter development: Simulation, analysis, and optimization of complete filters
Analyze and design filters digitally in a few steps!
The increasing demands on filtration performance make modern, digital development processes indispensable. Computer-aided design (CAD), combined with simulation tools, plays a crucial role: from precise component design to the analysis of flow, pressure loss, and separation efficiency.
Yet, systematically simulating multiple design variants often becomes time-consuming because CAD geometries must be created manually and imported one by one. This slows down development and limits the ability to quickly compare alternative concepts.
GeoDict streamlines this workflow significantly. The simulation software can automatically generate cylindrical pleated structures with variable pleat counts, layer thicknesses, and porosity, enabling rapid exploration of design options.
GeoDict enables the direct import of CAD models and the efficient optimization of key filter parameters. Pleated filters can be adjusted, varied, and replaced with just a few clicks, ensuring maximum flexibility throughout the design process.
- Easy import and use of existing CAD files
- Automated generation and optimization of pleated filters within the housing
- Comprehensive analysis of filter performance to identify and improve critical areas
Wide range of pleat shapes,
flexibly customizable
Multiple pleat shapes are available,
with full customization for each:
- Pleat count and height
- Pleat inner and outer diameter
- Inner radius of pleat tip and pleat valley
- Circular rotation of the structure
Simulation of filter performance
- Insert various filter pleated designs into the housing
- Define inlet and outlet
- Assign effective parameters to porous phase:
- For flow: Permeability
- For filtration: Efficiency, depth, and cake filtration parameters
Flow and particle simulation in a filter
- Import CAD data and define all filter components
- Specify inlets and outlets
- Assign effective parameters to porous phase:
- For flow: Permeability
- For filtration: Efficiency, depth-filtration parameters,
and cake-filtration parameters
- Cost efficiency
Fewer physical prototypes reduce material and development costs while minimizing waste and environmental impact. - Time savings
Faster problem identification accelerates the entire development process. - Higher product quality
Early optimization leads to more efficient and reliable filters. - Virtual testing
Realistic simulations provide comprehensive, non-destructive performance evaluations. - Innovation
New designs and materials are explored and assessed with high efficiency. - Risk reduction
Early detection of design issues prevents costly rework. - Flexibility
Designs are quickly adapted to changing customer requirements and market conditions. - Informed decision-making
Data-driven analyses strengthen strategic development choices.