Work Item
ASTM WK73978
New Specification for Additive Manufacturing-General Principles-Registration of Process-Monitoring and Quality-Control Data
1. Scope
The promotion of knowledge, stimulation of research and implementation of technology through the development of standards for additive manufacturing technologies. The work of this Committee will be coordinated with other ASTM technical committees and other national and international organizations having mutual or related interests.
Keywords
additive manufacturing data; data alignment; data modeling; data registration; data set
Rationale
The measurement devices used for monitoring laser powder bed fusion (LPBF) processes and inspecting the resulting AM parts have been increasing, in both number and types, in recent years. The variety and volume of the data collected by such devices have increased exponentially. Each measurement device collects a unique data type, including text, values, images, and videos. A common, open method to collect, process and organize these different AM data types is needed so that their uses can be identified for downstream applications, including qualifications, certifications, and analytics. More specifically, this standard focuses on functions that 1) monitor and control LPBF processes, 2) predict the material properties of the final part, and 3) qualify other well-known part-quality requirements. The reason for that focus is simple: these functions require registered data sets to be executed accurately. The specific data objects that need registration include in-situ photogrammetry and thermography and ex-situ X-ray computed tomography (XCT). These data sets are generated from a variety of sources, including melt-pool images, scan paths, layer images, and XCT three-dimensional (3D) models. The potential users of this new standard include AM technologies users, sensor developers, researchers, and software developers. The benefits of registering data include 1) accessing validated data with known time, locations, and approvals, 2) data alignment and fusion for process monitoring and control, 3) detecting defects traceable to process, material, equipment parameters, 4) AM part qualification, and 5) understanding AM process for developing predictive models. There are three potential impacts of the proposed standard. First, more software tools for data analytics and AM product lifecycle engineering can be used easily. Second, more robust validation and certification processes for aerospace and medical industries will be available. Third, cost savings in data management, curation, and access will increase.
The title and scope are in draft form and are under development within this ASTM Committee.
Work Item Status
Date Initiated: 08-31-2020
Technical Contact: Shaw Feng
Item: 001
Ballot: F42.08 (22-01)
Status: Negative Votes Need Resolution