Chifluff Matrix was created for those who work with soft-fill materials and need more than approximation.
Layered structures—whether for cushioning, insulation, or composite systems—behave in ways that are often difficult to predict. Compression, recovery, and wear don’t happen uniformly. Chifluff Matrix brings these hidden dynamics into a clear, structured environment.
Instead of relying on assumptions, you build and test material systems as controlled models.
At its core, Chifluff Matrix is about understanding behavior through repeatable simulation:
• Define materials with density, elasticity, and environmental factors
• Build layered structures and zone distributions
• Simulate pressure cycles, dwell time, and long-term wear
• Reveal deformation patterns and weak zones
Every result is consistent and traceable, allowing you to refine decisions with confidence rather than guesswork.
The workflow is designed as a seamless progression:
• Start with project setup and structure definition
• Parameterize materials and assign layers
• Configure scenarios and load cycles
• Analyze outcomes through charts and visual maps
You don’t just run simulations—you build a system of knowledge around your materials.
Chifluff Matrix supports deeper exploration:
• Compare multiple scenarios side by side
• Track compression and recovery behavior over time
• Identify structural inconsistencies and stress concentrations
• Calibrate solver behavior to explore edge cases
Each project becomes a structured record of your work:
• Full history of drafts and simulation runs
• Saved presets and reusable configurations
• Notes and observations tied to results
• Organized data for repeatable experimentation
The experience is designed to stay focused and controlled:
• Clean, distraction-free interface
• Deterministic computation engine
• No cloud dependency
• Fully offline workflow
Chifluff Matrix is not about quick estimates.
It’s about building reliable understanding—layer by layer, test by test.
Because soft materials may feel simple,
but their behavior is anything but.