1/7/2023 0 Comments Camworks nestingNormally when this happens with bounding box, I need to go back to the build and manually adjust parts and move them closer together in order to reach higher densities. This tells us that our bounding box-based method is not getting the most of a single run at 5.6 percent. We will now take our sample brake lever and use Materialise Magics nesting to see how many can fit in the build volume of the HP MJF 4200 3D printer.įrom the test builds above, we can see that geometry based nesting fit almost twice as many parts in a single build! For HP Jet Fusion, optimum packing density for powder reusability lies between eight and 12 percent. Our sample part for this example is a brake lever for a motorcycle. Let’s dive a little deeper and take a look at a sample build and compare the two methods. Bounding box will not nest parts inside the donut while geometry based will. A simple illustration to think about is to imagine a donut-shaped part. Materialise Magics supports the use of both methods. Geometry based nesting looks at the surface of the part and spaces based on actual part geometry. Bounding box nesting takes the maximum X, Y and Z values of your part and forms a box around the part. The base software that comes with HP Jet Fusion 3D printers (HP Build Manager) uses a bounding box nesting strategy. In addition to manually nesting, there are bounding box and geometry based nesting strategies. To understand why Materialise Magics is such a good tool, we first need to look at types of part nesting. The machine we will be using as our example in this post is the HP Jet Fusion 4200 3D printer. This blog post will walk you through how to efficiently nest parts with one of the best solutions out on the market: Materialise Magics. I am happy to tell you there is a much better way. If you are like me, you have spent plenty of time manually adjusting individual parts in a 3D space hoping that you don’t accidentally join parts together because they are too close. Nesting parts in a three-dimensional build volume can be challenging.
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