About this asset

This procedural acoustic foam Substance material for Substance 3D provides fully parametric charcoal textures for interior surfaces. This collection of procedural acoustic foam materials offers three distinct surface profiles rendered in a deep charcoal tone. The set includes a linear ribbed texture, a soft egg-crate wave pattern, and a structured grid of interlocking geometric acoustic tiles. Designed as a parametric Substance file, these materials simulate the matte, porous appearance of synthetic sound-dampening foam. The depth and relief of each pattern are procedurally generated, ensuring high-fidelity light interaction across the surface. These shaders are ideal for creating realistic wall treatments in studios, home cinemas, and professional workspaces where acoustic control is essential.

The download is a 143 KB file containing a Substance (.sbsar) material that opens in Substance 3D Player, Sampler and Painter and in renderers with Substance support.

Load this.sbsar file directly into your Substance 3D graph or compatible DCC host application to adjust parameters dynamically. Because the material is procedural, you can modify the scale, pattern intensity, and surface relief without encountering tiling artifacts or resolution degradation. Apply the shader to planar geometry or complex wall systems, adjusting the base colour or roughness settings to match specific interior lighting conditions and project requirements for realistic sound-dampening visualizations.

These materials are essential for architectural visualization projects focusing on recording studios, media rooms, home theaters, and open-plan offices. They pair effectively with modern minimalist interiors, providing a functional, textured aesthetic to otherwise flat wall surfaces. Use these shaders when you need to quickly populate large-scale wall panels or ceiling baffles in rendering software. Search for these assets when seeking high-performance, tileable textures that maintain visual consistency across expansive architectural surfaces without the limitations of traditional bitmap-based mapping techniques.