The Role of Artificial Intelligence in the Generative Design

Artificial Intelligence (AI) capabilities are growing, and its application is included in most of our products and services. Generative AI is a breakthrough in creating new written content, videos and even programming. Generative design powered by AI will be the next breakthrough in developing new products and services. The development path, to accomplish generative design functionalities, is even more complex than the ones developed for smart chatbots or generators of music, videos and essays, because of the multiple steps to standardize and define the design parameters of new products.

AI, Deep Learning (DL) and Neuronal Networks tools can support the development of generative design, not just for 3D geometry models, but for all the design development process by CAD, CAE, CAM and Systems Modeling. The initial steps are the parameters definition for a specific systems architecture of the selected commodity, with their respective constraints and design requirements. The next steps are the completion of the overall design processes, from initial concept to virtual validation and optimization.

This evolution of generative design full capabilities will embrace the design processes. The initial commodities will be the simplest ones to apply this approach, but to evolve on more complex products. Deep Learning provides the learning ability from a wide range of training data, to meet the design constraints with optimized solutions. A generative design prototype has been developed to prove the benefits of this approach, by creating new design variations, from an initial parametric base design. The main benefit of AI generative design is the time reduction of the overall development process, because of the overlap between conceptualization, define, optimization and virtual validation and verification. Once a new product commodity is selected to apply this approach, the next steps are to adapt the generative design core model, to comply with a required architecture, constraints, parameters, design requirements and targets.

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