Generative design: what it is and what the advantages are

Generative design is a tool that allows you to evaluate different design options at the conceptual design stage using CAD (computer-aided design) systems. It can be used by engineers from any sphere of production. Generative design capabilities are based on artificial intelligence technologies.

This tool makes it possible to create many new variants of designs and makes it possible to efficiently solve tasks of any complexity. Designers can make individual components less heavy, reduce manufacturing costs, create optimal conditions for scaling, and increase their productivity.

Generative design is an interactive design research system built on software controlled by artificial intelligence. This technology is used to develop design solutions that take into account a wide range of input data and constraints.

While traditional design is based on a model based on the engineer’s experience and knowledge, generative design is based on a set of parameters, taking into account that artificial intelligence itself creates various models.

Directions for generative design

Articles on generative design emphasize its four main directions:

1. Form creation;
2. improvement of surfaces and design of three-dimensional lattices;
3. topology optimization (taking into account the input parameters, the shape is cleaned of all unnecessary things);
4. trabecular structures (high-precision scaling and distribution of microscopic pores in any solid material, thanks to which a rough surface is formed).

It is not yet possible to say that significant experience has already been accumulated in the field of generative design, but it is already clear that the development of the above four directions is capable of causing fundamental changes in architectural construction, furniture manufacturing, production of footwear for sports, machines, and mechanisms and in several other areas.

The software for GenAI in Design is highly productive and can be applied in any manufacturing area. It has many undeniable advantages, but applications embedded in automatic programming systems also look promising. With their help, engineers working on projects can significantly increase the level of their solutions without going beyond their modeling system.

Benefits of generative design

Accelerating processes

Many companies decide to innovate to speed up production processes. It is the time savings that can be called the main advantage of generative design. Increasing the speed of process execution directly affects revenue growth. Engineers and other specialists using this technology can free up their time for other tasks.

In the context of project duration, the implementation of generative design can speed up processes by about 20%. This frees up time that the team can devote to bringing new products to market. This aspect can be crucial in ensuring a successful business.

Increased opportunities for creativity

Design professionals should a priori have a strong imagination. At the same time, their judgment is often biased, and past experience influences future developments, especially in modeling.

The introduction of generative design ensures that the designer is introduced to new parameters and forms that he or she would not have come up with on their own. At the same time, such innovations turn out to be more effective in the context of solving problems that appear in the course of product development. The latter circumstance is because the formation of solutions will be based on specific initial parameters.

Consolidation of elements

The list of important advantages of generative design should also include the availability of element consolidation capabilities. Appropriate design software can design complex elements, each of which replaces several parts.

The introduction of additive manufacturing processes allows elements with complex architectures to be manufactured with ease. As a result, the number of parts used for assembly is reduced.

At the same time, the supply chain and product maintenance are simplified. All these factors reduce the cost of production.

Weight reduction

Industries such as automotive and aerospace are paying special attention to component weight because the total weight affects the performance of the vehicle (handling, fuel consumption, etc.).

It is now possible to reduce the weight of parts in designs that were previously overlooked by designers.

Reducing waste and avoiding resource overruns

Existing methods for reducing manufacturing waste (e.g., topology optimization) provide designers with only one solution.

Generative design, on the other hand, provides an extensive list of divergent models, each of which will meet specified parameters and waste minimization requirements.

Narrowing design weaknesses

Unlike traditional design, generative design makes it easier to identify weak and overloaded model elements.

With machine learning principles, the program evolves based on its experience and becomes more efficient.

Conclusion

Further development of generative design should take place in parallel with the creation of conditions for the availability of additive technologies. Although at present it cannot yet be said that engineers have succeeded in unlocking the full potential of this technology, it is already clear that it is developing in the right direction.