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The Power of Materialise e-Stage: Shree Rapid Technologies Reduces Resin Material Consumption for Support Generation by 50%

Find out how Shree Rapid Technologies reduced their material consumption for support generation by 50% using Materialise e-Stage.

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No More Pancake Waste! How AM Transformed Bakery Production Lines of a Favorite Food

Pancake production lines were experiencing issues with waste before K3D stepped in. See how K3D combined its expertise with robust software from Materialise and industrial printers from Additive Industries to transform bakery production lines.

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Ecor International and Il Sentiero Bring the Past into the Present with Materialise Magics

When a citation of an antique building in Schio, a small town near Vicenza, Italy, was discovered in an ancient book, it became a candidate for the TEMART project. But how could they use Materialise Magics to bring an ancient text into the 21st century?

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AM Software Helped CommScope Double Production Numbers

The AM collaboration between CommScope and Materialise has grown significantly over the course of 18 years. As their production expanded, CommScope was recently able to double production numbers just by switching to the Sinter Module for part nesting. 

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How Nissin Met Rapidly Increasing Orders with e-Stage for Metal

Nissin Manufacturing 3D prints metal parts and prototypes. Discover how they use Materialise Magics and e-Stage for Metal to improve productivity in response to rapidly increasing orders and requests for shorter delivery times. 

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How to Reduce Data and Build Preparation Time by 90%

Fiberneering specializes in 3D printing large parts, which previously slowed data and build prep because of large files. Read on to find out how utilizing slice-based technology with Materialise software enabled them to reduce their time spent on preparing these files by 90%. 

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94% Lighter, 50% Cheaper, and More Performant – Optimizing a Suction Gripper Design for Metal 3D Printing

Production tools are one of the applications where additive manufacturing truly shines. By optimizing the design of this suction gripper for 3D printing, Materialise reduced the manufacturing costs per gripper by half.

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Materialise Software and GE Sensing Technology Push the Qualification of AM

Without a fast, high-quality and automated AM process, companies can’t scale up production successfully. This qualification process should be as cost-effective as possible, meaning that the Non-Destructive Testing (NDT) costs of AM should be as low as possible. But how can you ensure consistency and repeatability throughout the entire manufacturing process? It’s all about machine learning, or leveraging large amounts of data to deeply understand the hardware.

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How Nissan Reduced Data Prep Time by 50%

Nissan uses 3D printing technology to create prototypes and experiment with new vehicle shapes. This involved a lot of manual work. Thanks to Materialise software, they managed to change the entire process and make it much more efficient. Data preparation time was reduced from months to seconds.

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Smoothing the Flow: How Sambon Saves 3 Hours on Data Prep per File

Sambon Precision & Electronics manufactures audio devices (earphones, headphones and speakers) and keypads for distribution in South Korea and oversea. When developing a new product, producing a prototype is a mandatory step in the development process. Sambon 3D prints the prototypes since it’s a fast and flexible method. Unfortunately, their 3D printing workflow wasn’t that smooth, and took up a lot of time for the data preparation team. Using Materialise Magics software, they were able to reduce file repair and platform preparation time significantly.

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Midwest Prototyping Reduced the Weight of SLA Molds by 42% Using Honeycomb Structures

The new honeycomb structure in Materialise Magics²²  allows companies to reduce material usage and printing time. As a beta tester of Materialise Magics²², Midwest Prototyping was one of the very first to try out the new feature.

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AM Simulation: A Guide to the Best Part Orientation and Support Configuration

In this case study, we investigate different part-support configurations of a patient-specific CMF implant, and determine which configuration is most suitable for the AM process. We do this by simulating deformations via inherent strain method and comparing the final deformations of the parts after support removal. 

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