Generative design and parametric design are closely related concepts in the field of computer-aided design (CAD) and advanced manufacturing.
Parametric design is a design approach that utilizes parameters and rules to create and modify models. It captures the relationship between different design elements and allows for quick variation and exploration of design alternatives. With parametric design, changing one parameter can automatically update other related dimensions, features, or attributes of the design.
Generative design, on the other hand, takes parametric design principles to the next level by using algorithms and artificial intelligence to explore a vast number of possibilities and generate design solutions to meet specific criteria or objectives. It involves defining the constraints, goals, and design criteria and then using computational algorithms to iteratively generate and evaluate numerous design options.
In simpler terms, parametric design focuses on defining and controlling the relationships between design elements, while generative design focuses on automating the exploration and generation of design options based on predefined goals and constraints. Generative design goes beyond predefined parameters and explores the design space more creatively and extensively.
Both approaches enhance the efficiency, precision, and creativity of the design process while allowing for rapid iterations and optimization. They are often used together, with parametric design acting as the foundation, and generative design enabling automated exploration and optimization within the parametric framework.
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