Saturday, May 4, 2024

Try Generative Design in Fusion 360 Fusion 360

fusion 360 generative design

It is also much lighter and has a much lower displacement value than the traditional design. The Experimental Solver brings new possibilities, and you can see the results in the image below. At the top of the image is the design produced by the standard generative design solver. Please note that Experimental Solvers is still a preview feature, which means that some of the new features may not be working with all manufacturing constraints and final outcomes count might be smaller. The full list of supported manufacturing methods is presented later, next to the description of every new constraint.

Experimental Solvers: New Capabilities in Fusion 360 Generative Design

Autodesk development teams have been working on capitalizing on these proven simulation solvers as well as the latest technologies in generative design. As a result, a new tech preview feature named Experimental Solver is enabled in Fusion 360. On the other hand, we have generative design in Fusion 360 software — the technology that revolutionizes the engineering world and the ways we design things. Another interesting feature of Experimental Solvers is its ability to create void shapes.

fusion 360 generative design

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The issue of cost, of course, will need to be considered by all prospective customers. On one hand, being charged to obtain results from a system for which you’ve already paid a subscription may seem counterintuitive and unhelpful when it comes to project budget forecasts. There’s also the fact that this type of software is using resources off-loaded from your workstation (and on Autodesk’s dime). It’s worth talking at this stage about the different end results of each study. The first is that each load case definition is weighted equally during computation.

ADDITIVE MANUFACTURING

Again, you have a set of common loads, including forces, pressures and bearing loads. This automatically restricts geometry to this shape – but it’s a shame to nail things down so firmly during early-stage experimentation. At the same time, it can be a challenge to consider your project in this new way and you may need to iterate your problem definition in order to fine-tune it. If you do have an explicit volume inside which you need to work, there is the option to give the system a starting volume. As always, if you have any questions about generative design in Fusion 360, please reach out to us at With your feedback and our continuous improvement efforts in mind, we’re announcing an updated generative design price structure that gives teams of all sizes and budgets a chance to experience its benefits.

This allows you to veryquickly model up a shaft for a fastener, and add in a bolt-head and an additional cylinder on top, for ensuring bolts/screws can be accessed with the appropriate tool. The place to begin with generative design is to define the geometry that will provide the basis for your exploration of the technology. Let’s examine how AI improves manufacturing product quality and how Autodesk’s Fusion bolsters this influential technology. Each tutorial shows you how to locate and open the required Fusion model dataset. Now, it seems, we’re seeing a new class of tools that can support that process and give it a huge boost, thanks to the unprecedented levels of computational power that we have at our disposal today. On the other hand, the ability to run optimisation studies across a matrix of inputs and parameters, as you can here, would take days, if not weeks, of work to set up manually.

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Grzegorz Borowski is currently a product owner working mainly on generative design at Autodesk. He graduated with a master’s degree in Mechanical Engineering, specializing in Finite Element Method (FEM) simulations. To do this, first open the Preferences window by choosing the Preferences option (4) inside the menu (3) in the upper right corner of the Fusion 360 window.

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In the standard approach of the generative design solver, the material can only be removed from the outer surface of the model. In most cases, this method provides satisfactory results; however, there are some situations where it is insufficient, and the outcomes that it produces are not the optimal ones. In most cases, this method provides satisfactory results; however, there are some situations where it is insufficient, and the outcomes that it produces are not the optimal ones. The most logical and most optimal solution here would be the shape that has its outer edges preserved and is empty inside. However, up until now, the generative design solver was unable to produce such a shape. The Experimental Solver brings new possibilities, and you can see the results in the image below.

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Thankfully, the hype train came to the end of the line towards the end of last year, when the Fusion 360 team finally updated the system to include the first variant of this technology as a real-world, commercially available product. After opening the results in the Explore tab, you can identify the outcomes that were generated by Experimental Solvers by the flask icon in the upper right corner of the outcome thumbnail. Inside the Preferences window, find the Preview Features option (5) and then make sure that under the Generative Design tab you have selected Experimental Generative Solvers and Features (6). The green parts are preserve geometries while the yellow part is a starting shape. After opening the results in the Explore tab, you can identify the outcomes that were generated by Experimental Solvers by a flask icon visible in the upper right corner of the outcome thumbnail. Inside the Preferences window find the Preview Features option (5) and then make sure that under the Generative Design tab you have selected Experimental Generative Solvers and Features (6).

Additional tips

If you add in more materials than are needed or more manufacturing variations, you increase the amount of computation required. Conversely, you’re paying for it, so if you have time, max out your options and see what comes back. The second is that loads and constraints can only be applied to the ‘preserved geometry’ that you have defined; this is absolutely key and might be the cause of some iteration during set-up. In other words, good planning is required upfront before a project begins. When you run the study with the Alternative Outcomes option selected, you will be able to use new features that are described in more detail later, and you may get some additional outcomes on top of the default ones.

As consumers continue to demand higher-quality products at lower prices, the need for technological innovation is clear. AI is revolutionizing manufacturing, significantly altering product design, development, and production processes. This transformation is leading to reduced costs and improved yields across the board. Tools like Autodesk Fusion enable manufacturers to harness the power of AI in their design and manufacturing workflows.

One of the characteristics of the new Experimental Solvers is increased variety of shapes. AI can predict demand, optimize inventory levels, and identify potential supply chain disruptions. These systems, as a result, can potentially anticipate shifts in consumer demand and assist in adjusting manufacturing output.

At the top of the image is the design produced by the standard generative design solver. At the bottom, there is an outcome created by a new optimization method used in Experimental Solver. The second design is much closer to the one that is indicated by stresses distribution inside of the model.

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