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Search Publications by: Yan Lu (Fed)

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Displaying 26 - 50 of 80

Research and Application of Machine Learning for Additive Manufacturing

October 1, 2022
Author(s)
Paul Witherell, Yan Lu, Ying Liu, David W. Rosen, Timothy Simpson, Charlie Wang
Additive manufacturing (AM) is poised to bring a revolution due to its unique production paradigm. It offers the prospect of mass customization, flexible production, on-demand and decentralized manufacturing. However, a number of challenges stem from not

Investigating Statistical Correlation Between Multiple In-Situ Monitoring Datasets for Powder Bed Fusion Additive Manufacturing

August 24, 2022
Author(s)
Zhuo Yang, Yan Lu, Milica Perisic, Yande Ndiaye, Adnan Gujjar, Fan-Tien Cheng, Haw-Ching Yang
In-situ measurements provide vast information for additive manufacturing process understanding and real-time control. Data from various monitoring techniques observes different characteristics of a build process. Fusing multi-modal in-situ monitoring data

Spatiotemporal Monitoring of Melt-Pool Variations in Metal-Based Additive Manufacturing

July 1, 2022
Author(s)
Siqing Zhang, Yan Lu, Paul Witherell, Timothy Simpson, Soundar Kumara, Hui Yang
Additive manufacturing provides a higher level of flexibility to build customized products with complex geometries. However, AM is currently limited in its ability to ensure quality assurance and process repeatability. Advanced imaging provides unique

A Data Integration Framework for Additive Manufacturing Big Data Management

December 7, 2021
Author(s)
Milica Perisic, Dimitrije Milenkovic, Yan Lu, Albert T. Jones, Nenad Ivezic, Boonserm Kulvatunyou
Large amounts of data are generated throughout the entire, AM, part-development lifecycle. Data are generated by various functions within process monitoring, material characterization, equipment status, and part qualification. Hence, data integration and

HYBRID MODELING OF MELT POOL GEOMETRY IN ADDITIVE MANUFACTURING USING NEURAL NETWORKS

November 17, 2021
Author(s)
Kevontrez Jones, Zhuo Yang, Ho Yeung, Paul Witherell, Yan Lu
Laser powder-bed fusion is an additive manufacturing (AM) process that offers exciting advantages for the fabrication of metallic parts compared to traditional techniques, such as the ability to create complex geometries with less material waste. However

IN-PROCESS DATA FUSION FOR PROCESS MONITORING AND CONTROL OF METAL ADDITIVE MANUFACTURING

November 17, 2021
Author(s)
Zhuo Yang, Yan Lu, Simin Li, Jennifer Li, Yande Ndiaye, Hui Yang, Sundar Krishnamurty
To accelerate the adoption of Metal Additive Manufacturing (MAM) for production, an understanding of MAM process-structure-property (PSP) relationships is indispensable for quality control. A multitude of physical phenomena involved in MAM necessitates the

Six-sigma Quality Management of Additive Manufacturing

November 26, 2020
Author(s)
Yan Lu, Hui Yang, Paul Witherell
Quality is a key determinant in deploying new processes, products or services, and influences the adoption of emerging manufacturing technologies. The advent of additive manufacturing (AM) as a manufacturing process has the potential to revolutionize a

Cognitive Automation and its Impact on Additive Manufacturing

October 15, 2020
Author(s)
Albert T. Jones, Zhuo Yang, Yan Lu
The English word manufacturing firstly appeared in 1683 and it was derived from Latin manu factus, meaning making by hand. For more than thousands of years now, and four Industrial Revolutions, the physical, and mostly mechanical processes, associated with

Standard Connections for IIoT Empowered Smart Manufacturing

September 12, 2020
Author(s)
Yan Lu, Paul W. Witherell, Albert W. Jones
The use of Industrial Internet-of-Things (IIoT) and related technology promises to transform manufacturing to the fourth Industry revolution era essentialized by "ubiquitous connectivity." IIoT allows new and unprecedented interactions amongst hardware

Nesting and Scheduling Problems for Additive Manufacturing: A Taxonomy and Review

August 21, 2020
Author(s)
Yosep Oh, Paul Witherell, Yan Lu, Timothy A. Sprock
With the trends of Industry 4.0 spanning physical and virtual worlds, Additive Manufacturing (AM) has been the mainstream for realizing complex geometries designed in computers. Meanwhile, a considerable number of AM studies have focused on effectively