DOE Data Explorer: The Data.

Ayers, Meredith

doi:10.29173/istl2466

Search citation statements

Order By: Relevance

Paper Sections

Select...

• Mendeley Data1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By searching "additive manufacturing", 67 datasets can be found. All the links to download datasets are provided as well [187].…”

Section: • Mendeley Datamentioning

confidence: 99%

A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management

et al. 2022

View full text Add to dashboard Cite

Additive manufacturing (AM) techniques are maturing and penetrating every aspect of the industry. With more and more design, process, structure, and property data collected, machine learning (ML) models are found to be useful to analyze the patterns in the data. The quality of datasets and the handling methods are important to the performance of these ML models. This work reviews recent publications on the topic, focusing on the data types along with the data handling methods and the implemented ML algorithms. The examples of ML applications on AM are then categorized based on the lifecycle stages, and research focuses. In terms of data management, the existing public database and data management methods are introduced. Finally, the limitations of the current data processing methods and suggestions are given.

show abstract

“…By searching "additive manufacturing", 67 datasets can be found. All the links to download datasets are provided as well [187].…”

Section: • Mendeley Datamentioning

confidence: 99%