Stress-oriented 3D printing path optimization based on image processing algorithms for reinforced load-bearing parts

Yingguang Li; Ke Xu; Xu Liu; Mengyuan Yang; James Gao; Paul Maropoulos

doi:10.1016/j.cirp.2021.04.037

Stress-oriented 3D printing path optimization based on image processing algorithms for reinforced load-bearing parts

Yingguang Li^*, Ke Xu, Xu Liu, Mengyuan Yang, James Gao, Paul Maropoulos

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

Abstract

Fibre reinforced filament fabrication is a potential additive manufacturing method for certain load-bearing parts in aerospace and automotive products. In current practice, printing paths are planned from part geometry without considering loading conditions. This paper presents a new method for optimizing printing paths to align with the principal stress field of parts in use. Because of the powerful processing capabilities, for the first time grayscale image was adopted to represent the irregular vector field, which can be robustly processed into sub-regions for generating regular printing paths. Preliminary bending test achieved promising increase in tensile strength compared with conventional methods.

Original language	English
Pages (from-to)	195-198
Number of pages	4
Journal	CIRP Annals
Volume	70
Issue number	1
DOIs	https://doi.org/10.1016/j.cirp.2021.04.037
Publication status	Published - 09 Jul 2021

Bibliographical note

Funding Information:
This work was supported by the National Natural Science Foundation of China (Ref: 51805260 ) and the National Science Fund for Distinguished Young Scholars (Ref: 51925505 ).

Publisher Copyright:
© 2021 CIRP

Keywords

Additive manufacturing
Image processing
Tool path

ASJC Scopus subject areas

Mechanical Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1016/j.cirp.2021.04.037Licence: Unspecified

Cite this

@article{fb07f7200aa9477398b77b4312c5e2ac,

title = "Stress-oriented 3D printing path optimization based on image processing algorithms for reinforced load-bearing parts",

abstract = "Fibre reinforced filament fabrication is a potential additive manufacturing method for certain load-bearing parts in aerospace and automotive products. In current practice, printing paths are planned from part geometry without considering loading conditions. This paper presents a new method for optimizing printing paths to align with the principal stress field of parts in use. Because of the powerful processing capabilities, for the first time grayscale image was adopted to represent the irregular vector field, which can be robustly processed into sub-regions for generating regular printing paths. Preliminary bending test achieved promising increase in tensile strength compared with conventional methods.",

keywords = "Additive manufacturing, Image processing, Tool path",

author = "Yingguang Li and Ke Xu and Xu Liu and Mengyuan Yang and James Gao and Paul Maropoulos",

note = "Funding Information: This work was supported by the National Natural Science Foundation of China (Ref: 51805260 ) and the National Science Fund for Distinguished Young Scholars (Ref: 51925505 ). Publisher Copyright: {\textcopyright} 2021 CIRP",

year = "2021",

month = jul,

day = "9",

doi = "10.1016/j.cirp.2021.04.037",

language = "English",

volume = "70",

pages = "195--198",

journal = "CIRP Annals",

issn = "0007-8506",

publisher = "Elsevier Inc.",

number = "1",

}

TY - JOUR

T1 - Stress-oriented 3D printing path optimization based on image processing algorithms for reinforced load-bearing parts

AU - Li, Yingguang

AU - Xu, Ke

AU - Liu, Xu

AU - Yang, Mengyuan

AU - Gao, James

AU - Maropoulos, Paul

N1 - Funding Information: This work was supported by the National Natural Science Foundation of China (Ref: 51805260 ) and the National Science Fund for Distinguished Young Scholars (Ref: 51925505 ). Publisher Copyright: © 2021 CIRP

PY - 2021/7/9

Y1 - 2021/7/9

N2 - Fibre reinforced filament fabrication is a potential additive manufacturing method for certain load-bearing parts in aerospace and automotive products. In current practice, printing paths are planned from part geometry without considering loading conditions. This paper presents a new method for optimizing printing paths to align with the principal stress field of parts in use. Because of the powerful processing capabilities, for the first time grayscale image was adopted to represent the irregular vector field, which can be robustly processed into sub-regions for generating regular printing paths. Preliminary bending test achieved promising increase in tensile strength compared with conventional methods.

AB - Fibre reinforced filament fabrication is a potential additive manufacturing method for certain load-bearing parts in aerospace and automotive products. In current practice, printing paths are planned from part geometry without considering loading conditions. This paper presents a new method for optimizing printing paths to align with the principal stress field of parts in use. Because of the powerful processing capabilities, for the first time grayscale image was adopted to represent the irregular vector field, which can be robustly processed into sub-regions for generating regular printing paths. Preliminary bending test achieved promising increase in tensile strength compared with conventional methods.

KW - Additive manufacturing

KW - Image processing

KW - Tool path

U2 - 10.1016/j.cirp.2021.04.037

DO - 10.1016/j.cirp.2021.04.037

M3 - Article

AN - SCOPUS:85107788916

SN - 0007-8506

VL - 70

SP - 195

EP - 198

JO - CIRP Annals

JF - CIRP Annals

IS - 1

ER -

Stress-oriented 3D printing path optimization based on image processing algorithms for reinforced load-bearing parts

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this