Riven’s Warp-Adapted Models Improve Accuracy in Additive Manufacturing

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 10 times more accurate when printed. Riven customers are using WAM to enable more accurate production of parts today.

WAM capability has been tested and has shown improvement across a variety of additive manufacturing technologies including FFF, SLA, metal binder jetting, and MJF. Also, the technology can proactively correcting errors on legacy equipment.

“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,” said Nate Higgins, president of FreeFORM Technologies (Saint Marys, PA), an AM service bureau that specializes in end-use metal binder jet parts.

According to Riven, WAM works for AM technology without the need for detailed knowledge of the specific machine or material parameters. Also, 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.

In an FFF trial, average print errors were reduced by over 2.8 times where the accuracy score improved from 80 percent to 93 percent (where errors are defined as areas with deviations over 0.25 mm). Trials were conducted with three different types of parts in three different materials.

Riven said that WAM is scalable, making additive manufacturing a viable option for customers with projects that need only a few units to those cusotmers 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 that creates pre-adjusted models automatically and can deliver 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.”

Riven provides 3D reality intelligence for digital manufacturing and enables fast introduction and customer acceptance of high-accuracy, end-use parts at scale that are made through additive manufacturing and through conventional production.

www.riven.ai