WAM is complementary to simulation-based approaches and can be used alone or in combination to correct remaining errors related to environmental conditions or imperfect simulation input. Unlike simulation approaches to improve AM part quality for specific technologies and machines, WAM works for any additive technology without the need for detailed knowledge of the specific machine or material parameters. WAM technology improves quality and accuracy for every build from every machine for all additive technologies – even proactively correcting errors on legacy equipment, the company explains in a press release.
Tests of this new software functionality revealed improvements across a wide variety of AM technologies including FFF, SLA, metal binder jetting and MJF.Īn FFF trial with three different part types and three different materials for instance, shows that average print errors were reduced by over 2.8 times and accuracy improved from 80% to 93%. It also produces a new corrected model in minutes that eliminates warp and is up to 10 times more accurate when printed.
While the acronym is very similar to AM元D’s WAM® process, it stands for Warp-Adapted-Model and uses full-part 3D data from an initial part to identify errors. Riven, an expert in 3D reality intelligence for digital manufacturing has developed WAM™ capability to ensure higher accuracy Additive Manufacturing (AM) part production. Compatible with a wide range of AM technologies, an FFF trial with three different part types and three different materials show that average print errors were reduced by over 2.8 times and accuracy improved from 80% to 93%.