AI powered CAD flexibility
Here is a short article a bit late this week about an interesting video I found about Parametric Shapes assisted with AI. This is based on a scientific paper recently published by...
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Here is a short article a bit late this week about an interesting video I found about Parametric Shapes assisted with AI. This is based on a scientific paper recently published by...
Posted by Yoann Maingon
Following up on my old article about ETL, another interesting piece of software for a PLM stack is the Enterprise Service Bus. Having a Service Bus in any company department...
Posted by Yoann Maingon
I’m resuming our series of blog post about configuration management concepts. The last one was about non-interchangeable revision. This week we cover the fork concept. Fork...
Posted by Yoann Maingon
I’m a little bit late on the marketing trend to write a post about low-code. But I was recently asked how “low-code” was Ganister PLM? I realized that you could...
Posted by Yoann Maingon
As an enterprise-wide data management platform, one of the main PLM goal is to provide the users with the right data at the right moment. The digital thread should provide a...
Posted by Yoann Maingon
There is a debate on cloud PLM stack. Some would argue that cloud PLM = SaaS PLM = Multi-tenant. Any discussion on this topic becomes quickly technical and looses 80% of the...
Posted by Yoann Maingon
As I’m now in the business of editing PLM software with Ganister. I have been involved in defining what would be a correct way of dealing with configuration management (CM)...
Posted by Yoann Maingon
Now that we have seen the most simple change in my previous blog post, let’s talk about the revision mechanical engineers will hate : THE NON-INTERCHANGEABLE REVISION !!!...
Posted by Yoann Maingon
On my french blog I wrote a blog post about some suggestions for a flexible configuration management solution. I’ll reproduce the article in English soon for a broader...
Posted by Yoann Maingon
Wow, this blog took a dramatic 180° turn. Don’t worry, this is still talking about PLM and more precisely about the Fit, Form, Function (and Safety for some companies)...
Posted by Yoann Maingon
Here is a short article a bit late this week about an interesting video I found about Parametric Shapes assisted with AI. This is based on a scientific paper recently published by Elie Michel and Tamy Boubekeur.
The first use I could see for this is for a product manager to explore options and variability. What if this was a bit bigger, what if this button was more on this side, what if, what if… You have a direct feedback without having to spend hours modifying and rebuilding broken CAD model. 30 years ago we would build small scale models, now we are replacing experience testing with VR. With such technology you could modify lots of mechanical aspects in just a few seconds.
The other opportunity is to help AI. Many AI optimization processes will just test random options and then converge on solutions that are returning better result. But they can only do this in a range of possible solutions. Even though 3D printing has extended these possibilities, you still want AI to only explore possible solutions. With this technology you could help AI run many options that are always correct.
What a nightmare for PLM ! This can become scary for the world of configuration management. The more we give flexibility to designers, the more consequences we can have downstream. The goal will be to make sure that the parametric rules applied on the model follow configuration management rules defined by the company. I will soon write a blog post about “The modular way” which gives great recommandation on how to implement modularity in product design. I believe this is a must before giving too much flexibility to designers.
I actually got the information about this technology from a great youtube channe which covers AI, Simulation and 3D rendering: 2 minutes paper.
Have a great week-end !
What is the language your PLM solution has been built with? It is something that barely comes up in PLM evaluation. Does it matter? I think so, but in order to know why it matters...
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