DeepAI
Log In Sign Up

ZomeFab: Cost-effective Hybrid Fabrication with Zometools

06/24/2019
by   I-Chao Shen, et al.
0

In recent years, personalized fabrication has received considerable attention because of the widespread use of consumer-level three-dimensional (3D) printers. However, such 3D printers have drawbacks, such as long production time and limited output size, which hinder large-scale rapid-prototyping. In this paper, for the time- and cost-effective fabrication of large-scale objects, we propose a hybrid 3D fabrication method that combines 3D printing and the Zometool construction set, which is a compact, sturdy, and reusable structure for infill fabrication. The proposed method significantly reduces fabrication cost and time by printing only thin 3D outer shells. In addition, we design an optimization framework to generate both a Zometool structure and printed surface partitions by optimizing several criteria, including printability, material cost, and Zometool structure complexity. Moreover, we demonstrate the effectiveness of the proposed method by fabricating various large-scale 3D models.

READ FULL TEXT

page 3

page 4

page 5

page 6

page 7

page 10

04/30/2021

Divide-and-conquer based Large-Scale Spectral Clustering

Spectral clustering is one of the most popular clustering methods. Howev...
03/31/2020

Topological optimization of hybrid quantum key distribution networks

With the rapid development of quantum key distribution (QKD) technology,...
04/21/2021

Towards Exploratory Landscape Analysis for Large-scale Optimization: A Dimensionality Reduction Framework

Although exploratory landscape analysis (ELA) has shown its effectivenes...
04/28/2022

Benchmarking the Hooke-Jeeves Method, MTS-LS1, and BSrr on the Large-scale BBOB Function Set

This paper investigates the performance of three black-box optimizers ex...
08/06/2017

A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication

In recent years, randomized methods for numerical linear algebra have re...
11/05/2020

A Multi-Stage Adaptive Sampling Scheme for Passivity Characterization of Large-Scale Macromodels

This paper proposes a hierarchical adaptive sampling scheme for passivit...