ASTM International, Conshohocken, Pa., announces its second round of funding to support research that helps expedite standards in additive manufacturing. This investment of $300,000 and in-kind contributions will support ASTM International Additive Manufacturing Center of Excellence’s goal of addressing pressing needs for technical standardization in this fast-growing industry. This round, approved by an ASTM International subcommittee, is focused on research and innovation and targets a vast array of topics.
“We are funding some of the most crucial and high-impact research projects in additive manufacturing to accelerate standardization,” said Dr. Mohsen Seifi, ASTM International’s Director of Global Additive Manufacturing Program. He added that these projects will complement the previous round of five projects, with all contributing towards a holistic approach to fill standard gaps in design, feedstock, process, post processing, testing, and qualification.
Auburn University will work to implement a rapid, efficient, and effective inspection process to detect potential part quality issues after fabrication through laser powder bed fusion (L-PBF). The study aims to identify and quantify deviations in build and material quality through a series of tests performed within a few hours after the part is removed from the 3D printing machine.
Applied technology developer EWI aims to leverage overall advances in digital data acquisition, automation, and data analysis. EWI will work to define a minimum subset of AM data entries and taxonomy of those entries. The resulting standard will help establish best practices for data sharing, a common data dictionary for AM, and a data management roadmap that integrates stakeholder needs.
Wichita State University’s National Institute for Aviation Research (NIAR) will gather information from existing polymer characterization activities to create a test plan and matrix incorporating the state of the art for these testing methods. Additional print, test, and analysis will be conducted to generate additional data. NIAR will share results and develop appropriate documentation based on its findings.
