Auto-generating of 2D tessellated crease patterns of 3D biomimetic spring origami structure

被引:2
|
作者
Teo, Yu Xing [1 ]
Cai, Catherine Jiayi [1 ]
Yeow, Bok Seng [1 ]
Tse, Zion Tsz Ho [2 ]
Ren, Hongliang [1 ,3 ]
机构
[1] Natl Univ Singapore, Biomed Engn Dept, Singapore 117575, Singapore
[2] Univ York, Dept Elect Engn, York YO10 5DD, England
[3] Chinese Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China
来源
关键词
Biomimetic soft robotics; 3D origami design; Design automation; Computer-aided design; Structural optimization; Parametric design; DESIGN;
D O I
10.1016/j.birob.2022.100036
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Computational simulations can accelerate the design and modelling of origami robots and mechanisms. This paper presents a computational method using algorithms developed in Python to generate different tessellated origami crease patterns simultaneously. This paper aims to automate this process by introducing a system that automatically generates origami crease patterns in Scalable Vector Graphics format. By introducing different parameters, variations of the same underlying tessellated crease pattern can be obtained. The user interface consists of an input file where the user can input the desired parameters, which are then processed by an algorithm written in Python to generate the respective origami 2D crease patterns. These origami crease patterns can serve as inputs to current origami design software and algorithms to generate origami design models for faster and easier visual comparison. This paper utilizes a basic biomimetic inspiration origami pattern to demonstrate the functionality by varying underlying crease pattern parameters that give rise to symmetric and asymmetric spring origami 3D structures. Furthermore, this paper conducts a qualitative analysis of the origami design outputs of an origami simulator from the input crease patterns and the respective manual folding of the origami structure.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] 2D or 3D?
    Mills, R
    COMPUTER-AIDED ENGINEERING, 1996, 15 (08): : 4 - 4
  • [22] Detecting humans in 2D thermal images by generating 3D models
    Markov, Stefan
    Birk, Andreas
    KI 2007: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2007, 4667 : 293 - +
  • [23] A mass spring system supporting 2D modelling of 3D components
    Beets, K
    Geuns, B
    Claes, J
    Van Reeth, F
    VISION, MODELING, AND VISUALIZATION 2003, 2003, : 415 - 422
  • [24] Transformation of Geometry from 2D to 3D: Revisiting Origami in a Digital Design Course
    Ozman, Gizem Ozerol
    Selcuk, Semra Arslan
    NEXUS NETWORK JOURNAL, 2024, 26 (01) : 197 - 212
  • [25] RNA structure determination: From 2D to 3D
    Deng, Jie
    Fang, Xianyang
    Huang, Lin
    Li, Shanshan
    Xu, Lilei
    Ye, Keqiong
    Zhang, Jinsong
    Zhang, Kaiming
    Zhang, Qiangfeng Cliff
    FUNDAMENTAL RESEARCH, 2023, 3 (05): : 727 - 737
  • [26] Automated design of 3D DNA origami with non-rasterized 2D curvature
    Fu, Daniel
    Narayanan, Raghu Pradeep
    Prasad, Abhay
    Zhang, Fei
    Williams, Dewight
    Schreck, John S.
    Yan, Hao
    Reif, John
    SCIENCE ADVANCES, 2022, 8 (51)
  • [27] Transformation of Geometry from 2D to 3D: Revisiting Origami in a Digital Design Course
    Gizem Özerol Özman
    Semra Arslan Selçuk
    Nexus Network Journal, 2024, 26 : 197 - 212
  • [28] Capturing 3D macromolecule structure in 2D images
    Kim, Jeong Joo
    TRENDS IN BIOCHEMICAL SCIENCES, 2023, 48 (03) : 305 - 306
  • [29] Comparison of Traditional 2D and Virtual Patterns Design in 3D
    Cichocka, Agnieszka
    Bruniaux, Pascal
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2009, 13 (05) : 542 - 549
  • [30] Photoregenerated cellulose: From 2D patterns to 3D microfabrication
    Wolfberger, Archim
    Petritz, Andreas
    Schmidt, Volker
    Kargl, Rupert
    Stadlober, Barbara
    Niegelhell, Katrin
    Griesser, Thomas
    Spirk, Stefan
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2015, 249