Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

CofiFab: coarse-to-fine fabrication of large 3D objects

Song, Peng, Deng, Bailin ORCID:, Wang, Ziqi, Dong, Zhichao, Li, Wei, Fu, Chi-Wing and Liu, Ligang 2016. CofiFab: coarse-to-fine fabrication of large 3D objects. ACM Transactions on Graphics 35 (4) , 45. 10.1145/2897824.2925876

[thumbnail of 98565CofiFab - coarse-to-fine fabrication of large 3D objects.pdf]
PDF - Accepted Post-Print Version
Download (4MB) | Preview
[thumbnail of Sup98565CofiFab - Supplementary.pdf]
PDF - Supplemental Material
Download (162kB) | Preview


This paper presents CofiFab, a coarse-to-fine 3D fabrication solution, combining 3D printing and 2D laser cutting for cost-effective fabrication of large objects at lower cost and higher speed. Our key approach is to first build coarse internal base structures within the given 3D object using laser cutting, and then attach thin 3D-printed parts, as an external shell, onto the base to recover the fine surface details. CofiFab achieves this with three novel algorithmic components. First, we formulate an optimization model to compute fabricatable polyhedrons of maximized volume, as the geometry of the internal base. Second, we devise a new interlocking scheme to tightly connect the laser-cut parts into a strong internal base, by iteratively building a network of nonorthogonal joints and interlocking parts around polyhedral corners. Lastly, we optimize the partitioning of the external object shell into 3D-printable parts, while saving support material and avoiding overhangs. Besides cost saving, these components also consider aesthetics, stability and balancing. Hence, CofiFab can efficiently produce large objects by assembly. To evaluate CofiFab, we fabricate objects of varying shapes and sizes, and show that CofiFab can significantly outperform previous methods.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: 3D printing, laser cutting, assembly, interlocking
Publisher: Association for Computing Machinery (ACM)
ISSN: 0730-0301
Date of First Compliant Deposit: 2 May 2017
Last Modified: 01 Dec 2023 22:00

Citation Data

Cited 66 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics