Computational Workflows for Additive Manufacturing and Assembly
This case study explores the development of integrated computational workflows for the design, additive manufacturing, and assembly of complex components. Through a parametric and data-driven approach, geometry, deposition strategies, and assembly logic are automatically generated and optimized, ensuring consistency between the digital and physical phases.
The integration of algorithmic modeling, process simulation, and robotic control reduces development time, material waste, and manual interventions, transforming the workflow into an adaptive, scalable, and replicable system for various manufacturing applications.