1. Big to Small Fab

会議の名前
UIST 2024
Don't Mesh Around: Streamlining Manual-Digital Fabrication Workflows with Domain-Specific 3D Scanning
要旨

Software-first digital fabrication workflows are often at odds with material-driven approaches to design. Material-driven design is especially critical in manual ceramics, where the craftsperson shapes the form through hands-on engagement. We present the Craft-Aligned Scanner (CAS), a 3D scanning and clay-3D printing system that enables practitioners to design for digital fabrication through traditional pottery techniques. The CAS augments a pottery wheel that has 3D printing capabilities with a precision distance sensor on a vertically oriented linear axis. By increasing the height of the sensor as the wheel turns, we directly synthesize a 3D spiralized toolpath from the geometry of the object on the wheel, enabling the craftsperson to immediately transition from manual fabrication to 3D printing without leaving the tool. We develop new digital fabrication workflows with CAS to augment scanned forms with functional features and add both procedurally and real-time-generated surface textures. CAS demonstrates how 3D printers can support material-first digital fabrication design without foregoing the expressive possibilities of software-based design.

著者
Ilan E. Moyer
Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
Sam Bourgault
University of California, Santa Barbara, Santa Barbara, California, United States
Devon Frost
University of California, Santa Barbara , Santa Barbara, California, United States
Jennifer Jacobs
University of California Santa Barbara, Santa Barbara, California, United States
論文URL

https://doi.org/10.1145/3654777.3676385

動画
E-Joint: Fabrication of Large-Scale Interactive Objects Assembled by 3D Printed Conductive Parts with Copper Plated Joints
要旨

The advent of conductive thermoplastic filaments and multi-material 3D printing has made it feasible to create interactive 3D printed objects. Yet, challenges arise due to volume constraints of desktop 3D printers and high resistive characteristics of current conductive materials, making the fabrication of large-scale or highly conductive interactive objects can be daunting. We propose E-Joint, a novel fabrication pipeline for 3D printed objects utilizing mortise and tenon joint structures combined with a copper plating process. The segmented pieces and joint structures are customized in software along with integrated circuits. Then electroplate them for enhanced conductivity. We designed four distinct electrified joint structures in experiment and evaluated the practical feasibility and effectiveness of fabricating pipes. By constructing three applications with those structures, we verified the usability of E-Joint in making large-scale interactive objects and show path to a more integrated future for manufacturing.

著者
Xiaolong Li
Zhejiang University, HangZhou, China
Cheng Yao
Zhejiang University, Hangzhou, China
Shang Shi
Zhejiang University, Hangzhou, China
Shuyue Feng
Zhejiang University, Hangzhou, China
Yujie Zhou
Zhejiang University, Hangzhou, China
Haoye Dong
Zhejiang university, Hangzhou, China
Shichao Huang
Zhejiang University, Hangzhou, China
Xueyan Cai
Zhejiang University, Hangzhou, Zhejiang/China, China
Kecheng Jin
Zhejiang University, Hangzhou, China
Fangtian Ying
MACAU University of Science and Technology, MACAU, China
Guanyun Wang
Zhejiang University, Hangzhou, China
論文URL

https://doi.org/10.1145/3654777.3676398

動画
MobiPrint: A Mobile 3D Printer for Environment-Scale Design and Fabrication
要旨

3D printing is transforming how we customize and create physical objects in engineering, accessibility, and art. However, this technology is still primarily limited to confined working areas and dedicated print beds thereby detaching design and fabrication from real-world environments and making measuring and scaling objects tedious and labor-intensive. In this paper, we present MobiPrint, a prototype mobile fabrication system that combines elements from robotics, architecture, and Human-Computer Interaction (HCI) to enable environment-scale design and fabrication in ad-hoc indoor environments. MobiPrint provides a multi-stage fabrication pipeline: first, the robotic 3D printer automatically scans and maps an indoor space; second, a custom design tool converts the map into an interactive CAD canvas for editing and placing models in the physical world; finally, the MobiPrint robot prints the object directly on the ground at the defined location. Through a "proof-by-demonstration" validation, we highlight our system's potential across different applications, including accessibility, home furnishing, floor signage, and art. We also conduct a technical evaluation to assess MobiPrint’s localization accuracy, ground surface adhesion, payload capacity, and mapping speed. We close with a discussion of open challenges and opportunities for the future of contextualized mobile fabrication.

著者
Daniel Campos Zamora
University of Washington, Seattle, Washington, United States
Liang He
Purdue University, West Lafayette, Indiana, United States
Jon E.. Froehlich
University of Washington, Seattle, Washington, United States
論文URL

https://doi.org/10.1145/3654777.3676459

動画
StructCurves: Interlocking Block-Based Line Structures
要旨

We present a new class of curved block-based line structures whose component chains are flexible when separated, and provably rigid when assembled together into an interlocking double chain. The joints are inspired by traditional zippers, where a binding fabric or mesh connects individual teeth. Unlike traditional zippers, the joint design produces a rigid interlock with programmable curvature. This allows fairly strong curved structures to be built out of easily stored flexible chains. In this paper, we introduce a pipeline for generating these curved structures using a novel block design template based on revolute joints. Mesh embedded in these structures maintains block spacing and assembly order. We evaluate the rigidity of the curved structures through mechanical performance testing and demonstrate several applications.

著者
Zezhou Sun
Boston University, Boston, Massachusetts, United States
Devin Balkcom
Dartmouth College, Hanover, New Hampshire, United States
Emily Whiting
Boston University, Boston, Massachusetts, United States
論文URL

https://doi.org/10.1145/3654777.3676354

動画
MemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design Feedback
要旨

Providing asynchronous feedback is a critical step in the 3D design workflow. A common approach to providing feedback is to pair textual comments with companion reference images, which helps illustrate the gist of text. Ideally, feedback providers should possess 3D and image editing skills to create reference images that can effectively describe what they have in mind. However, they often lack such skills, so they have to resort to sketches or online images which might not match well with the current 3D design. To address this, we introduce MemoVis, a text editor interface that assists feedback providers in creating reference images with generative AI driven by the feedback comments. First, a novel real-time viewpoint suggestion feature, based on a vision-language foundation model, helps feedback providers anchor a comment with a camera viewpoint. Second, given a camera viewpoint, we introduce three types of image modifiers, based on pre-trained 2D generative models, to turn a text comment into an updated version of the 3D scene from that viewpoint. We conducted a within-subjects study with 14 feedback providers, demonstrating the effectiveness of MemoVis. The quality and explicitness of the companion images were evaluated by another eight participants with prior 3D design experience.

著者
Chen Chen
University of California San Diego, La Jolla, California, United States
Cuong Nguyen
Adobe Research, San Francisco, California, United States
Thibault Groueix
Adobe Research, San Francisco, California, United States
Vladimir Kim
Adobe, Seattle, Washington, United States
Nadir Weibel
University of California San Diego, La Jolla, California, United States