Using generative AI in Collaborative Design Work to Boost Inspiration and Communication
日期:2023-01-19阅读 637

Advanced AI-based generative design meets additive manufacturing

There are more specific issues relating to these data sets and Creative Commons licensed content. All CC licenses include an attribution clause, and in order to use a CC licensed work you must attribute the creator. LLMs and other large data sets are unable to fulfil this crucial attribution requirement so they ride roughshod over one of the foundational principles of Creative Commons.

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Generative design and AI have now reached a maturity that makes a wide range of applications possible. This is also ensured by new application packages, such as PTC who offer it within its future Creo portfolio, which uses the ANSYS visualisation technology. These Creo-integrated features provide product developers with world-class opportunities to rapidly drive product innovation. VU.CITY has leaped into the world of AI with our generative design tool called SiteSolve. Our platform leverages the power of algorithms and computational modelling to automate and enhance the design process on sites.

Fusion 360 Generative Design Extension

This highlights the growing importance of generative design as a powerful tool for designers and engineers in a variety of industries. Generative design enables users to explore and evaluate many design options quickly and efficiently, leading to improved performance, reduced costs, and increased sustainability. In this article, we will provide an overview of generative design, including its benefits, limitations, popular software tools, and the challenges of creating successful generative design software. We will also examine the potential for generative design to evolve and become even more powerful and accessible in the coming years. Traditional topology optimisation and generative design have often been used interchangeably in the market and this has caused some confusion. Topology tools typically start with an existing design and optimise it  based on functional objectives such as maximum material stress or deflection.

While product developers and engineers have been designing and creating new products, components or larger constructions using computers and modern CAD software, generative design turns the computer into the driving creative force. While there are exceptions, the majority of tools working in this area offer no ability to create or import your own building typologies for Generative Design testing. Looking ahead, architects and clients are going to want an ability to generate options from their own authored libraries and to be able to put their portfolio to use. genrative ai Generative design leverages artificial intelligence and machine learning to generate multiple manufacturing outcomes that meet your design constraints while reducing weight, improving performance and consolidating parts. As generative design software becomes more widespread, there may be legal and ethical issues related to intellectual property, ownership of generated designs, and liability for errors in the generated designs. Maintenance and support costs should also be taken into consideration when estimating the cost of creating generative design software.

Simulators will always be simulators, not reproducers of vehicle performance

Generative AI can also assist with writer’s block and customized learning paths, making the learning experience more engaging and effective. With regards to product design it could reduce product development time by creating multiple iterations of a component in a fraction of the time, as well as changing the form of consumer products. However, the software can only produce designs for either 3D printing, 3, or 5-axis CNC machining. These manufacturing methods aren't viable for mass-manufacture, it brings into question whether generative design will be software only applicable to the high performance engineering field, rather than product deisgn.

  • “Auto Optioneering” - Where a model is programmed to test hundreds of massing and layouts arrangements against site constraints instantly.
  • Explore multiple outcomes that meet your design specifications while reducing weight and improving performance.
  • By harnessing user data, AI can create personalized experiences, tailoring designs to individual preferences and behaviours.

The language used to describe generative AI tools often humanises and anthropomorphises them, either deliberately or subconsciously. They are ascribed human characteristics and abilities, such as intelligence and the ability to dream. When Chat GPT makes up non-existent references to back up erroneous “facts” this is often described as “hallucinating“. This propensity has led to confusion among some users when they have attempted to find these fictional references. Many commenters have pointed out that these tools are incapable of hallucinating, they’re just getting shit wrong, and that the use of such humanising language purposefully disguises and obfuscates the limitations of these systems.

As an example, a designer can request, via text prompt, a suite of designs based on an initial prototype sketch with specific stylistic properties such as ‘sleek’, ‘SUV-like’, and ‘modern’, while also optimizing a quantitative performance metric. Autodesk Fusion 360 Generative Design Extension begins with hold-out areas, preserved areas, loads and design constraints based on the project requirements. Increase product design confidence by meeting performance criteria through the automated application of considerations such as lightweighting, improved structural integrity and continued durability. Gradually, ideas are emerging about connecting directly to the supply chain for lower risk procurement and early costing – this perhaps points to the direction things are going. Over time I believe that each phase of a project’s life will be transformed in some way by this new breed of software application. The cost of integrating the software with other tools and platforms will also affect the cost of development.

A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

Bias can stem from the training data used to train the AI model or from inherent biases in the algorithm itself. In addition to these best practices, instructional designers should also consider the importance of developing interactive learning activities. Generative AI can be particularly effective in creating interactive activities such as quizzes, example simulations, and personalized learning paths.


This has the potential to enhance innovation, sustainability and efficiency in product development. As well as text, current generative AI technology is quite good at creating images based on natural language prompts, and there are even some tools that use it to generate video. However, they have some limitations due to the intensive nature of the required data processing.

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Sponsored by the US Department of Energy, Volvo is designing the new SuperTruck II powertrain, which will deliver increased freight capacity with lower carbon emissions. During the design process for the front engine mount, one Volvo designer went deep into generative design to create something in minutes that might have otherwise taken years. These activations are just a few examples of how more brands are understanding the power of generative design to create personalised experiences that strengthen connections between brands and customers. “Every time there’s a new powerful tool, the designs that emerge look different from the time before that tool was invented.” He cites parametric modelling tools. “Certain things that had been difficult became easy.” And that is one potential outcome for AI-enabled architecture to which innovative designers will surely look forward.

Compared to today's reality, this has the advantage, among other things, that they no longer have to defend models against other decision-makers – after all, all of them have been created using algorithms, so the respective optimum can be assumed. Operators first define design parameters and functional requirements such as maximum size, weight, type of material, load capacity, manufacturing process or costs. It is even possible to define further design parameters that consider purchasing decisions, manufacturing capacities, the status of the supply chain and regionally required product variants. Then the computer takes over, but it not only calculates an optimal geometry – it also creates thousands of design drafts that meet the specified criteria catalogue, pushing it in all possible directions. In this way, simulation is integrated into the development process through generative design. So, for example, the system only generates designs suitable for the CNC milling machine or the 3D printer, although differing production methods can be proposed for selection.

generative design ai

The Generative Design service is a cloud-based service that runs on Fusion 360 Ultimate, and which allows designers to input design requirements before the software designs solutions within a specified design space. And we aren’t just talking about a few different choices here—the Generative Design platform can provide literally hundreds or thousands of valid design options that all fulfill a designer’s requirements. And not only does the service provide a selection of designs to choose from, but it provides performance analysis data on exactly how those designs fulfill or exceed the requirements. Simply put, generative design means humans and computers working together to create objects beyond the human imagination alone. Thanks to cloud technologies and advances in simulation, 3D printing, and machine learning, the concept of generative design in product development is facing a broader application in the market.

“Hybrid Collage” - Where we can produce render quality visual experimentations by combining disparate image and text material. “Auto Optioneering” - Where a model is programmed to test hundreds of massing and layouts arrangements against site constraints instantly.

Now that this technology has entered the main stage with Fusion 360 Ultimate, we can expect to see a bold new world of product design, not just in high-end engineering applications, but in consumer goods as well. Clearly there are many ethical issues that education institutions must take into consideration if they are to use generative AI tools in ways that are not harmful. Many AI tools are already being used in education, often with beneficial results, captioning systems are just one example that springs to mind. I also think that generative AI can potentially be used as an exemplar to teach complex and nuanced issues relating to the creation and consumption of information, knowledge equity, the nature of creativity, and post-humanism.

The independent assessment and enforcement will provide a greater probability of success. Enriching the student learning experience & supporting development of on campus and online courses. "SiteSolve speeds up and simplifies the development of a land use design. We get numerous different options for a draft during a project meeting when traditionally it has taken several days to make different drafts." It includes the technology used to track the movements of a tower crane as well as highly complex design authoring software.