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Materialise Magics 27.0.0.934 Multilanguage


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Materialise Magics 27.0.0.934 Multilanguage
Materialise Magics 27.0.0.934 Multilanguage
x64 | File size: 705 MB


CMaterialise Magics - the most powerful data and build preparation software
Without the right software, making a 3D design file printable takes a lot of time and effort. Magics simplifies data and build preparation with one easy-to-use solution that includes both CAD and mesh tools. Whether you want precise control over your workflow or quick, optimized enhancements at the click of a button, Magics guides you to success.

Why Magics?
Support through the full workflow
Whether you’re importing files, slicing builds, or any step in between, Magics provides the tools.

Advanced control
Gain impressive precision throughout your workflow by defining parameters that best suit your needs.

Increased productivity
Automate processes with specialized modules that reduce prep time and boost your production rate.

Technology neutral
No matter the technologies or materials you use, you deserve one solution to meet all your needs.

Dependable support
From training courses to our Help Center to personalized advice, our team of experts is there for you.

Features of Magics and its modules
Import data types and formats
Import nearly all file formats, retain native color information, and stay in control of your original data.

Repair, edit, and enhance
Ensure parts are printable and high quality with capabilities such as automatic fixing, offsets, and lattice structures.

Transfer designs to your machine
Carry out steps like slicing and orientation with precision, and clearly communicate the information to your machine.

Generate reports
Keep track of builds and ensure repeatability with automatic reports that require minimal human effort.

Simplify nesting
Nest parts using Magics for advanced speed and control within your workflow.

Automate support generation
Optimize the creation of support structures and reduce time spent doing so.

Analyze builds
Avoid costly build failures using analysis features that detect potential issues

 

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