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Search Publications by: Yan Lu (Fed)

Displaying 51 - 75 of 138

IN-SITU OBSERVATION SELECTION FOR QUALITY MANAGEMENT IN METAL ADDITIVE MANUFACTURING

October 1, 2021

Author(s)

Paul Witherell, Yan Lu

Metal additive manufacturing provides a larger design space with accompanying manufacturability than traditional manufacturing. Recently, much research has focused on simulating the process with regards to part geometry, porosity, and microstructure

Microstructure and Tensile Test Data Alignment for Additive Manufacturing Data Registration

August 6, 2021

Author(s)

Shaw C. Feng, Yan Lu, Albert T. Jones

Microstructural and tensile test data are becoming increasingly available and important in additive manufacturing (AM). These data can be used as inputs to a variety of data-analytics tools, outputs from which can be used to ensure the part's quality and

UNLEASHING THE POTENTIAL OF ADDITIVE MANUFACTURING: FAIR AM DATA MANAGEMENT PRINCIPLES

July 9, 2021

Author(s)

William Frazier, Yan Lu, Paul Witherell

The potential significance of FAIR data is hard to overstate, but equally hard to prove in totality. FAIR data can change the paradigm for research and development, qualification/certification, and acquisition, sustainment in AM. We can predict the

Ontology-driven Learning of Bayesian Network for Causal Inference and Quality Assurance in Additive Manufacturing

June 16, 2021

Author(s)

Ruimin Chen, Yan Lu, Paul Witherell, Timothy Simpson, Soundar Kumara, Hui Yang

Additive manufacturing (AM) enables the creation of complex geometries that are difficult to realize using conventional manufacturing techniques. Advanced sensing is increasingly being used to improve AM processes, and installing different sensors onto AM

Deep Representation Learning for Process Control in Laser Additive Manufacturing

April 26, 2021

Author(s)

Yan Lu, Sepehr Fathizadan, Feng Ju

Laser Powder Bed Fusion (LPBF) is an additive manufacturing process where laser power is applied to fuse the spread powder and fabricate industrial parts in a layer by layer fashion. Despite its great promise in fabrication flexibility, print quality has

Recurrence Network Analysis of Design-quality Interactions in Additive Manufacturing

April 12, 2021

Author(s)

Yan Lu, Ruimin Chen, Hui Yang

Powder bed fusion (PBF) additive manufacturing (AM) provides a greater level of flexibility in the design-driven build of metal products. However, the more complex the design is, the more difficult to control the quality of AM builds. The quality challenge

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

CAMERA-BASED COAXIAL MELT POOL MONITORING DATA REGISTRATION FOR LASER POWDER BED FUSION ADDITIVE MANUFACTURING

November 16, 2020

Author(s)

Yan Lu, Zhuo Yang, Ho Yeung, Jaehyuk Kim, Hyunbo Cho

The quality of powder bed fusion (PBF) built parts is highly correlated to the melt pool characteristics. Camera-based coaxial melt pool monitoring (MPM) is widely applied today because it provides high-resolution monitoring on the time and length scales

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

3D BUILD MELT POOL PREDICTIVE MODELING FOR POWDER BED FUSION ADDITIVE MANUFACTURING

August 16, 2020

Author(s)

Zhuo Yang, Yan Lu, Ho Yeung, Sundar Krishnamurty

Melt pool size is a critical intermediate measure that reflects the outcome of a laser powder bed fusion process setting. Reliable melt pool predictions prior to builds can help users to evaluate potential part defects such as lack of fusion and over

Hybrid Modeling Approach for Melt Pool Prediction in Laser Powder Bed Fusion Additive Manufacturing

August 16, 2020

Author(s)

Tesfaye M. Moges, Zhuo Yang, Kevontrez K. Jones, Shaw C. Feng, Paul W. Witherell, Yan Lu

Multi-scale multi-physics computational models are a promising tool to provide detailed insights to understand the process-structure-property-performance relationships in additive manufacturing (AM) processes. To take advantage of the strengths of both