Arjun Kota

CD4004

3D printing enables precise control over form, allowing the creation of smooth edges, hollow sections, and customized surface textures ideal for acoustic optimization. 
 While concrete is a strong insulator and sound reflector, its density and typically smooth surfaces limit its ability to absorb sound. 
 This project explores how computational design can generate context-specific geometries and textures that enhance sound absorption and diffusion in 3D-printed concrete structures. By leveraging algorithmic design and digital fabrication, the study aims to optimize acoustic performance while integrating functionality with aesthetic expression in architecture.