Riven’s new Warp-Adapted Model for improved AM accuracy

Companies & MarketsNews
December 1, 2021

December 1, 2021

A typical part built on a FFF system shows significant deviations from the design. Red areas are oversize, blue areas are undersize and grey areas match the design. A histogram shows error distribution (Courtesy Riven)

Riven, Berkeley, California, USA, has developed Warp-Adapted-Model (WAM™) capability that is said to enable higher accuracy in Additive Manufacturing part production. WAM uses full-part 3D data from an initial part to identify errors and produces a new corrected model in minutes that eliminates warp and is up to ten times more accurate when additively manufactured. Riven customers are said to already be using WAM to enable more accurate production.

WAM capability has been tested extensively and is said to have shown improvement across a wide variety of Additive Manufacturing technologies, including the Material Extrusion (MEX) process Fused Filament Fabrication (FFF), Laser Beam Powder Bed Fusion (PBF-LB) and metal Binder Jetting (BJT). The technology reportedly improved accuracy for every build, including proactively correcting errors on legacy equipment.

Nate Higgins, president of FreeFORM Technologies, a service bureau working in end-use metal BJT, stated, “Riven’s WAM is a unique and powerful capability that enables us to deliver production parts with tighter tolerances and saves weeks by eliminating process iterations. This further demonstrates Riven’s value in speeding up product acceptance and improving the experience of our mid-size and Fortune 500 customers.”

A warp-adapted-model (WAM) generated with Riven and built on the same AM machine as first image shows 10X lower total deviations (Courtesy Riven)

WAM is said to work for AM technologies without the need for detailed knowledge of the specific machine or material parameters. The technology is reputed to be complementary to simulation-based approaches and can be used alone or in combination to correct errors related to environmental conditions or imperfect simulation input.

In a comprehensive FFF trial, average build errors were said to be reduced by over 2.8 times where the accuracy score improved from 80% to 93% (with errors are defined as areas with deviation over 0.25 mm). Trials were conducted with three different part types and in three different materials.

Riven is also pre-release testing PWAM™, a predictive, machine-learning driven version of the technology which creates pre-adjusted models automatically and is anticipated to deliver even greater economies of scale while minimising production of scrap parts.

“Our objective is to accelerate the entire AM industry by enabling systematic ramp-up of production AM parts,” added James Page, founder and CTO of Riven. “Parts printed with Riven’s WAM and forthcoming PWAM will be within spec and can be shipped – whereas initial parts printed from CAD are frequently out of tolerance and cannot be shipped to customers. WAM saves resources, reduces waste, and improves customer service.”

Those interested in learning more about WAM can register for Riven’s webinar, scheduled to take place December 8, 2021.

www.riven.ai

Companies & MarketsNews
December 1, 2021

About Metal Additive Manufacturing magazine

Metal AM magazine, published quarterly in digital and print formats, is read by a rapidly expanding international audience.

Our audience includes component manufacturers, end-users, materials and equipment suppliers, analysts, researchers and more.

In addition to providing extensive industry news coverage, Metal AM magazine is known for exclusive, in-depth articles and technical reports.

Our focus is the entire metal AM process from design to application.

Each issue is available as an easy-to-navigate digital edition and a high-quality print publication.

In the latest issue of Metal AM magazine

Download PDF
 

Extensive AM industry news coverage, as well as the following exclusive deep-dive articles:

  • BMW Group: Laying the foundations for the application of metal Additive Manufacturing in the automotive industry
  • Predicting the metal Additive Manufacturing market – and breaking the hype cycle
  • China’s thriving metal Additive Manufacturing industry: An outsider’s perspective
  • Enhancing the productivity of Additive Manufacturing facilities through PBF-LB automation
  • Award-winning metal AM parts from the MPIF’s 2024 Design Excellence Awards
  • Performance of eddy currents for the in-situ detection of defects during PBF-LB metal AM

The world of metal AM to your inbox

Don't miss any new issue of Metal AM magazine, and get the latest industry news. Sign up to our twice weekly newsletter.

Sign up

Looking for AM machines, metal powders or part manufacturing services?

Discover suppliers of these and more in our comprehensive advertisers’ index and buyer’s guide, available in the back of Metal AM magazine.

  • AM machines
  • Process monitoring & calibration
  • Heat treatment & sintering
  • HIP systems & services
  • Pre- & post-processing technology
  • Powders, powder production and analysis
  • Part manufacturers
  • Consulting, training & market data
View online

Discover our magazine archive…

The free to access Metal Additive Manufacturing magazine archive offers unparalleled insight into the world of metal Additive Manufacturing from a commercial and technological perspective through:

  • Reports on visits to leading metal AM part manufacturers and industry suppliers
  • Articles on technology and application trends
  • Information on materials developments
  • Reviews of key technical presentations from the international conference circuit
  • International industry news

All past issues are available to download as free PDFs or view in your browser.

Browse the archive

Share via
Copy link
Powered by Social Snap