Simulations help analyze robustness and performance of the model to verify and validate the intended function of a product under development, as well as manufacturability of the product. Computer-aided engineering (CAE) tools include stress analysis on components and assemblies, thermal and fluid flow, multibody dynamics and kinematics, durability, and optimization.
A cutting edge assisted design process where designers and engineers collaborate with artificial intelligence algorithms to generate and evaluate several designs for a product idea. The user inputs design goals and parameters such as spatial requirements, material, manufacturing methods, and cost restraints which can help reduce a parts weight without compromising the functionality.
Topology optimization is also used to create complicated structures with optimum stiffness-to-weight ratios while utilizing the least amount of material. This design method serves as the foundation for generative design, and both are commonly used for additive manufacturing.
Design for Manufacturing (DFM) or Design for Additive Manufacturing (DFAM) is the art, science and skill to design for manufacturability using a specific process. The process adjusts a design to make it cheaper, faster, or more effective for manufacturing.
The additive design process is different than traditional methods because it empowers engineers to create more intricate shapes and production parts while reducing weight and material consumption. Other advantages are part consolidation which integrates several parts in assembly into one component for 3D printing.