Status, comparison, and future of the representations of additive manufacturing data

Yuchu Qin; Qunfen Qi; Paul J. Scott; Xiangqian Jiang

doi:10.1016/j.cad.2019.02.004

Status, comparison, and future of the representations of additive manufacturing data

Yuchu Qin, Qunfen Qi^*, Paul J. Scott, Xiangqian Jiang

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

73 Citations (Scopus)

Abstract

An effective representation of additive manufacturing (AM) data is important for ensuring the repeatability of AM processes and the reproducibility of AM parts. Recently, several standardised representations have been developed and used in the industry. While at the same time, a number of other representations have been presented within the academia. The coexistence of different representations generates a series of questions and discussions: What is a representation of AM data? Are the standardised representations comprehensive enough to ensure the repeatability and reproducibility? What challenges have been addressed so far in the presented representations? What are the strengths and weaknesses of each representation? What are the main issues in the field of AM data representation currently? What are the potential research directions of AM data representation in the future? To approach these questions, a review of the existing representations of AM data is presented in this paper. Firstly, an in-depth analysis of the existing representations is provided. Then, detailed comparisons among these representations are made, and a discussion about the main issues in AM data representation is carried out on the basis of the comparisons. Finally, some future research directions of AM data representation are suggested.

Original language	English
Pages (from-to)	44-64
Number of pages	21
Journal	CAD Computer Aided Design
Volume	111
DOIs	https://doi.org/10.1016/j.cad.2019.02.004
Publication status	Published - Jun 2019

Bibliographical note

Funding Information:
The authors would like to appreciate the insightful comments from the three anonymous reviewers for the improvement of the paper. The authors also would like to acknowledge the financial supports by the EPSRC UKRI Innovation Fellowship (Ref. EP/S001328/1), EPSRC Fellowship in Manufacturing (Ref. EP/R024162/1), and EPSRC Future Advanced Metrology Hub (Ref. EP/P006930/1).

Funding Information:
The authors would like to appreciate the insightful comments from the three anonymous reviewers for the improvement of the paper. The authors also would like to acknowledge the financial supports by the EPSRC UKRI Innovation Fellowship (Ref. EP/S001328/1 ), EPSRC Fellowship in Manufacturing (Ref. EP/R024162/1 ), and EPSRC Future Advanced Metrology Hub (Ref. EP/P006930/1 ). Disclaimer Certain commercial companies and products are mentioned in this paper. They were used only for citation and demonstration purposes. This use does not imply the approval or endorsement by our institution, nor does it imply that these products are necessarily the best available for the purpose. Appendix

Publisher Copyright:
© 2019 The Authors

Keywords

2D slice
3D model
AM
AM data representation
Design for AM
Process planning for AM

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title = "Status, comparison, and future of the representations of additive manufacturing data",

abstract = "An effective representation of additive manufacturing (AM) data is important for ensuring the repeatability of AM processes and the reproducibility of AM parts. Recently, several standardised representations have been developed and used in the industry. While at the same time, a number of other representations have been presented within the academia. The coexistence of different representations generates a series of questions and discussions: What is a representation of AM data? Are the standardised representations comprehensive enough to ensure the repeatability and reproducibility? What challenges have been addressed so far in the presented representations? What are the strengths and weaknesses of each representation? What are the main issues in the field of AM data representation currently? What are the potential research directions of AM data representation in the future? To approach these questions, a review of the existing representations of AM data is presented in this paper. Firstly, an in-depth analysis of the existing representations is provided. Then, detailed comparisons among these representations are made, and a discussion about the main issues in AM data representation is carried out on the basis of the comparisons. Finally, some future research directions of AM data representation are suggested.",

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author = "Yuchu Qin and Qunfen Qi and Scott, \{Paul J.\} and Xiangqian Jiang",

note = "Funding Information: The authors would like to appreciate the insightful comments from the three anonymous reviewers for the improvement of the paper. The authors also would like to acknowledge the financial supports by the EPSRC UKRI Innovation Fellowship (Ref. EP/S001328/1), EPSRC Fellowship in Manufacturing (Ref. EP/R024162/1), and EPSRC Future Advanced Metrology Hub (Ref. EP/P006930/1). Funding Information: The authors would like to appreciate the insightful comments from the three anonymous reviewers for the improvement of the paper. The authors also would like to acknowledge the financial supports by the EPSRC UKRI Innovation Fellowship (Ref. EP/S001328/1 ), EPSRC Fellowship in Manufacturing (Ref. EP/R024162/1 ), and EPSRC Future Advanced Metrology Hub (Ref. EP/P006930/1 ). Disclaimer Certain commercial companies and products are mentioned in this paper. They were used only for citation and demonstration purposes. This use does not imply the approval or endorsement by our institution, nor does it imply that these products are necessarily the best available for the purpose. Appendix Publisher Copyright: {\textcopyright} 2019 The Authors",

year = "2019",

month = jun,

doi = "10.1016/j.cad.2019.02.004",

language = "English",

volume = "111",

pages = "44--64",

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AU - Qi, Qunfen

AU - Scott, Paul J.

AU - Jiang, Xiangqian

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PY - 2019/6

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N2 - An effective representation of additive manufacturing (AM) data is important for ensuring the repeatability of AM processes and the reproducibility of AM parts. Recently, several standardised representations have been developed and used in the industry. While at the same time, a number of other representations have been presented within the academia. The coexistence of different representations generates a series of questions and discussions: What is a representation of AM data? Are the standardised representations comprehensive enough to ensure the repeatability and reproducibility? What challenges have been addressed so far in the presented representations? What are the strengths and weaknesses of each representation? What are the main issues in the field of AM data representation currently? What are the potential research directions of AM data representation in the future? To approach these questions, a review of the existing representations of AM data is presented in this paper. Firstly, an in-depth analysis of the existing representations is provided. Then, detailed comparisons among these representations are made, and a discussion about the main issues in AM data representation is carried out on the basis of the comparisons. Finally, some future research directions of AM data representation are suggested.

AB - An effective representation of additive manufacturing (AM) data is important for ensuring the repeatability of AM processes and the reproducibility of AM parts. Recently, several standardised representations have been developed and used in the industry. While at the same time, a number of other representations have been presented within the academia. The coexistence of different representations generates a series of questions and discussions: What is a representation of AM data? Are the standardised representations comprehensive enough to ensure the repeatability and reproducibility? What challenges have been addressed so far in the presented representations? What are the strengths and weaknesses of each representation? What are the main issues in the field of AM data representation currently? What are the potential research directions of AM data representation in the future? To approach these questions, a review of the existing representations of AM data is presented in this paper. Firstly, an in-depth analysis of the existing representations is provided. Then, detailed comparisons among these representations are made, and a discussion about the main issues in AM data representation is carried out on the basis of the comparisons. Finally, some future research directions of AM data representation are suggested.

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JF - CAD Computer Aided Design

ER -

Status, comparison, and future of the representations of additive manufacturing data

Abstract

Bibliographical note

Keywords

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