Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.




Yan Lu, Sangsu Choi, Paul W. Witherell


Large amounts of data are generated, exchanged, and used during an additive manufacturing (AM) build. While the AM data from a single build is essential for establishing part traceability, when methodically collected, the full processing history of thousands of components can be mined to advance our understanding of AM processes. Hence, this full body of data must be captured, stored, and well-managed for easy query and analysis. An innovative, AM-specific data model is necessary for the establishment of a comprehensive AM information management system. This paper presents our work towards designing a complete and integrated data model for AM processes, named Additive Manufacturing Integrated Data Model (AMIDM). In initiating the development of AMIDM, we define the scope and specify the requirements of such a data model. Information created and exchanged in the AM process chain is identified based on an AM process activity diagram. After a review of existing AM data exchange standards, the gaps and challenges of developing a common AM data model are identified. Finally, we came up with a conceptual design of AMIDM based on a well-defined product lifecycle management (PLM) data modeling method called PPR (product, process, and resource). The proposed AM model, AMIDM, has a core scheme composed of product, process, and resource entities. The process entities play critical roles in transforming product input into product output using assigned resources such as equipment, material, personnel, and software tools. The proposed model has been applied to an information system design for experimental data management. An XML (eXtensible Markup Language) schema is presented in the paper to demonstrate the effectiveness of the conceptual model.
Conference Dates
August 2-5, 2015
Conference Location
Boston, MA
Conference Title
35th Computers and Information in Engineering Conference (CIE)


Additive Manufacturing, Information modeling, Product lifecycle management


Lu, Y. , Choi, S. and Witherell, P. (2015), TOWARDS AN INTEGRATED DATA SCHEMA DESIGN FOR ADDITIVE MANUFACTURING: CONCEPTUAL MODELING, 35th Computers and Information in Engineering Conference (CIE), Boston, MA, [online], (Accessed June 16, 2024)


If you have any questions about this publication or are having problems accessing it, please contact

Created August 12, 2015, Updated February 19, 2017