Topology Optimization of Analysis | Generative Design

To develop a design idea, 3D CAD Traditional Modelling is currently the first choice of every engineer. However, the traditional modeling method does not support the engineers in controlling the variation in design and optimizing the structure to adapt to technical requirements. Recently, Generative Design has been introduced as an innovative approach to building up the 3D model. It has stepped into the new level in CAD technology allowing produce optimum model according to design objectives

Generative design is a new method that allows designers and engineers to insert certain constraints and parameters in a CAD(Computer-Aided Design) program. This information is used by the software to generate a variety of CAD models adhering to all constraints and formed in various compositions without intervention by the designer. Using this process can result in quicker, more structurally sound, and less conventional designs compared to the traditional design process[1]

La Rocca[2] thinks generative design is a methodology in which input is given by a user such as dimensions, durability or other restrictions which the system should account for. A generative model, which uses a set of rules, is used to determine how the design can look.

Advantages: generative design can provide multiple design solutions during the CAE phase that meet all performance requirements simultaneously[3]. All the designs are generated very rapidly and this not only frees up time for designers to focus on other aspects but also benefits the eventual quality of the product.

the generative design offers some advantages which are not directly related to the product development process. It can improve and enhance communication within the company between different functions[3]. For example, designers and engineers can involve branches such as sales, marketing, and manufacturing earlier on in the process to make decisions about manufacturability, price, and costs

?Disadvantages: The manufacturing method is also a concern. The traditional production methods are often unable to produce the intricate shapes of generated designs. Companies and their engineers will need to adjust their production methods which can become expensive and time-consuming[4].

It is difficult for engineers and designers to completely change their design process. A transition period is necessary before implementation is possible[5]

Conclusions: Despite the continuous development of structural optimization software tools, designers’ experience will always remain an essential element of the design process. Indeed, the ability to analyze design problems and to identify driving factors that play a major role in the?achievement of a high-quality result remains a human strength that cannot be easily mimicked by AI tools

REFERENCES :

1. www.theseus.fi/bitstream/handle/10024/127502/Generative%20Design%20with%20solidThinking%20Inspire.pdf?sequence=1&isAllowed=y
2. G. L. Rocca, “Knowledge-based engineering: Between AI and CAD. Review of a language-based technology to support engineering design,” Advanced Engineering Informatics, vol. 26, no. 2, pp. 159-179, 2012.
3. Harvard Business Review Analytic Services, The next wave of intelligent design automation, 2018
4. Westerveld, C.E.?(2021)?Generative Design: recommended actions to smooth the way for the production of generative designs with additive manufacturing.
5. S. Krish, “A practical generative design method,” Computer-Aided Design, vol. 43, no. 1, pp. 88-100, 2011