How to Develop and Optimize Process Parameters in Metal Additive Manufacturing

Joint case study by Rosswag, Materialise, and ZEISS

Über dieses Webinar

It takes a lot of time and effort to qualify a new material, process, or machine for metal additive manufacturing (AM). Many experiments must be completed to test out the dependencies of different parameters including laser power, scanning speed, hatch distance, layer thickness, etc. You can imagine the time needed to set up the tests, track the data, analyze results, and more.

This webinar will show you how to easily and rapidly qualify parameters for new materials. Discover how Rosswag was able to efficiently increase layer thickness, and thus save 50% printing time, and how automating the set-up of complex parameter studies helped them reduce tedious data preparation time by up to 90%.

Was Sie lernen werden

  • How Rosswag, Materialise, and ZEISS use end-to-end workflows 
  • How to rapidly qualify new materials, accelerating your time-to-market
  • How our solutions can increase your productivity, including the Materialise Process Tuner


Philipp Schwarz

Business Development Manager, Rosswag Engineering

Vivek Chowdary Penumarthi

Product Manager (Commercial), Materialise

Dr. Pradeep Bhattad

Business Development Manager, ZEISS Industrial Quality Solutions

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