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%.
Riven, an expert in 3D reality intelligence for digital manufacturing has developed WAM™ capability to ensure higher accuracy Additive Manufacturing (AM) part production. While the acronym is very similar to AML3D’s WAM® process, it stands for Warp-Adapted-Model and uses full-part 3D data from an initial part to identify errors. It also produces a new corrected model in minutes that eliminates warp and is up to 10 times more accurate when printed.
Tests of this new software functionality revealed improvements across a wide variety of AM technologies including FFF, SLA, metal binder jetting and MJF.
An 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%. 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.
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 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.
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WAM_Results_After
WAM is scalable, making additive manufacturing a viable option for customers with projects that only need a few units to those that require thousands or more. Riven is developing joint solutions with leading AM equipment and AMES partners to open new markets for AM production across industrial, automotive, aerospace and consumer applications.
Riven is also pre-release testing PWAM™, a predictive, machine-learning driven version of the technology which creates pre-adjusted models automatically and will deliver even greater economies of scale and minimize production of scrap parts.
“Our objective is to accelerate the entire AM industry by enabling systematic ramp-up of production AM parts,” said 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.”
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