The user doesn’t need to know how many beams the final design will require nor where they need to be placed. Importantly, the designer does not need to specify special geometry. Our new method offers users the same configuration setup where load cases are defined and materials are chosen, but with the option to turn on the new beam manufacturability method with a few additional parameters. Our goal was to allow generative design users to keep the common tools we have developed while also enabling the design of beam structures. Our new tool was created to save you the time, effort and expense, while offering designs optimized for this manufacturing method. While it is true that standard topology optimization does give results that appear beam-like, when closely examined, the final geometry is subtly quite different and extracting regular beams from it is a significant manual undertaking. Because it relies on a combination of standard parts, the designer can scale up to solve problems of any size. This is a practical, lightweight, speedy, and relatively cheap method used all over the world. A common manufacturing approach is to combine a set of extrusions, either tubes or beams at joints, to form frame structures such as a vehicle chassis, stage supports, or countless other designs. With this in mind, the Autodesk Research team explored a variety of manufacturability constraints with generative design to support milling and casting, along with improved support for 3D print manufacturing methods. We still must struggle with large scale production and limitations in the size of the print volume. However, 3D printing is not the silver bullet that can solve all manufacturing challenges. In certain cases that was true, and we managed to replace human designs with much lighter and stiffer 3D printed components. Then, we could take full advantage of the physical optimality. The assumption was that 3D printing would come to the rescue and manufacture whatever we designed. These designs are highly curved and complex. Since the physics for optimization explored a free-form approach, the resulting shapes strongly resembled biological structures, such as tree limbs or bones. These geometry types were initially generated by tools that made use of physics simulation to determine optimal structures with no specific limitation on shape or manufacturability. Instead of drawing the geometry using CAD tools to satisfy the problem requirements, the user would inform the system of the constraints and requirements and, using an iterative optimization approach, the system would generate the new geometry options. These initial tools allowed users a new level of automation for design. This new approach offers much of the advantage for an optimized design, but without the cost and duration of 3D printing.Īutodesk introduced generative design for manufacturing at Autodesk University 2014, showcasing early research prototypes which later became the generative design tools available in Fusion 360 today. It even helps you to simplify the joints and align the beams, while keeping the structure rigid and supporting the required loading. Instead of generating bone-like or organic structures that can only be 3D printed and are challenging to create at scale, this new tool lets you create large frame designs that you can build by welding together a set of tube or beam extrusions. Our team developed a new form of generative design that helps users to create structures that are easy to fabricate on a shop floor.
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