Abstract
A novel algorithm for 3D-printing technology was proposed to generate large-scale objects, especially A-shaped manikins or 3D human body scan data. Most of the conventional 3D printers have a finite printing volume, and it is the users’ work to convert the target object into a printable size. In this study, an automatic three-step segmentation strategy was applied to the raw manikin mesh data until the final pieces had a smaller size than the 3D printer’s maximum printing volume, which is generally called “beam length”. Human body feature point information was adopted for fashion and textile researchers to easily specify the desired cutting positions. A simple bounding box, especially orienting bounding box, and modified Boolean operator were proposed to extract the specified segments with computational stability. The proposed method was applied to graphically synthesized manikin data, and 1/8, 1/4, and 1/2 scale manikins were successfully printed, minimizing the amount of support structure.
Highlights
Three-dimensional (3D) printing or additive manufacturing (ISO, 2015) is definitely one of this era’s hottest keywords
Note that the bottom faces of both thighs are missing. Such non-closed volumes, known as non-manifold models in computer-aided design (CAD), are detrimental to successful 3D printing. This is due to the incompatibility between the two mesh display methods, boundary representation (B-rep) and Constructive Solid Geometry (CSG)
In summary, an optimized slicing algorithm was proposed for manikins with Boolean operations between the input manikin mesh data and bounding boxes
Summary
Three-dimensional (3D) printing or additive manufacturing (ISO, 2015) is definitely one of this era’s hottest keywords. As the initial patents for fused decomposition modeling (Crump, 1992) and selective laser sintering (Deckard, 1989) expired, studies on 3D printing accelerated, especially concerning filament material and printer-control technology. In this context, material scientists and engineers are heavily interested in the former topic. Composite structures (Wang et al 2017) have been studied for fabricating better filaments, in addition to single materials such as plastics (Talataisong et al 2018), metals (Chen et al 2019), cement (Perrot et al 2016), and biomedical tissues (Murphy & Atala, 2014) By the way, the latter problem becomes more burden to the 3D printer users.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
