Software
Overview
DEM-CFD: Unleashing
Powerful Simulations Experience accurate and efficient analysis of single-phase and multiphase flow with iGRAF’s integrated DEM-CFD solver.
Dynamic Geometry Control
Explore the limitless possibilities of dynamic geometry control with iGRAF. Enable translations, rotations, vibrations, user-defined motion control to precisely capture the dynamics of your system.
Liquid Bridging and van der Waals Forces
Discover the influence of moisture and adhesion forces on particle behavior using iGRAF’s validated liquid bridging models and van der Waals forces, with the liquid bridge force model being a notable strength extensively validated up to 15% moisture content.
Shape Recognition
Discover a groundbreaking approach that combines the Signed Distance Function (SDF) and Immersed Boundary Method (IBM) for recognizing any arbitrary geometry of solids, eliminating the need for complex mesh generation and accommodating moving objects.
Multiphase flow simulation
Experience the ultimate simulation capability of iGRAF’s THINC/WLIC method, enabling the dynamic exploration of powder-gas-liquid three-phase flows.
Features
Seamless Coupling DEM-CFD
Harness the combined power of DEM and CFD in one platform, revolutionizing your understanding of particle-fluid interactions.
Random Packing
Enables easy creation of mixed initial states for simulating powder behavior across different particle sizes and properties.
Shape Recognition
Combining Signed Distance Function (SDF) and Immersed Boundary Method (IBM) to recognize arbitrary solid geometries without complex mesh generation, accommodating moving objects with ease
Adhesive force
Capture the dominance of adhesion forces over gravity for small particles with iGRAF’s van der Waals force.
Moisture Content
Liquid bridge force model stands out by surpassing the conventional 1-2% range, being extensively validated up to 15% moisture content.
Free surface
iGRAF’s THINC/WLIC method, accurately analyzes the interface between gas and liquid, enabling immersive simulations of three-phase flows with powder, gas, and liquid.
Mixing Index
Effortlessly evaluate mixing index, enabling instant judgment of their superiority or inferiority, independently of the solver.
Non-spherical particle shape
Capture the precise impact of particle shape on the kinetic behavior of granular materials with iGRAF, enhancing the realism and accuracy of simulation.
Refined grid
Achieve precise fluid resolution regardless of particle size using independent grid control for fluid analysis, optimizing computational efficiency for narrow channels.
Dynamic Geometry Control
Achieve precise system dynamics with iGRAF’s motion control, enabling translations, rotations, vibrations, and user-defined motion.
Parallel Computation
iGRAF’s solvers provide scalable analysis through parallel computation, enabling large-scale simulations on a single workstation and Linux clusters for enhanced performance.
Coarse grain ratio
Overcome the challenges of simulating vast numbers of particles and achieve accurate results using iGRAF’s scaling capabilities.
Solutions
Improving mixing performance through operational conditions.
Improving powder mixing can be achieved through a single operational condition. For example, in a ribbon mixer, simply changing the loading method can lead to a significant improvement in mixing efficiency. By using iGRAF, the influence of other factors such as rotational speed and loading quantity can be quantitatively evaluated based on the degree of mixing.
Improving segregation through material design.
You can improve segregation and poor mixing by adjusting material properties. For example, in the case of mixed powders discharged from a hopper, you can observe segregation phenomena caused by differences in flowability. With iGRAF, you can calculate the degree of segregation by evaluating the proportion of particles remaining in the hopper, allowing for a quantitative assessment of suitable material properties.
Improving mixing performance through equipment selection.
The optimal mixer for handling powder materials can be easily selected by quantitatively comparing the mixing efficiency. With iGRAF, instead of evaluating uniformity through sampling like in experiments, the mixing state of the entire device can be evaluated by calculating the mixing degree from all particles.Version History
