2013
DOI: 10.1108/13552541311323272
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Efficient three dimensional modelling of additive manufactured textiles

Abstract: • This is a pre-print. The article is (c) Emerald Group Publishing and permission has been granted for this version to appear here. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited. Design/methodology/approach -A series of Additive Manufactured textiles samples were modelled using currently available Computer Aided Design software to understand the limitations associated with the generati… Show more

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Cited by 19 publications
(15 citation statements)
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“…appeared in the latest years, such as non-invasive parameter estimation [Miguel et al 2012], inverse design [Bartle et al 2016;Casati et al 2016], perceptual evaluation for artistic input [Sigal et al 2015], sound generation , or even manipulation by controlled avatars [Clegg et al 2015]. In computer graphics, the current background and set of tools for simulating the dynamics of cloth also gives the hope for multiple synergies to come with other disciplines: with the textile engineering community for instance, by merging virtual prototyping and real manufacturing of garments [Bingham 2012;Konaković et al 2016]; or with the robotic and medical assistance fields, by helping measure the feeling of a person when touching and grasping fabric [Erickson et al 2017].…”
mentioning
confidence: 99%
“…appeared in the latest years, such as non-invasive parameter estimation [Miguel et al 2012], inverse design [Bartle et al 2016;Casati et al 2016], perceptual evaluation for artistic input [Sigal et al 2015], sound generation , or even manipulation by controlled avatars [Clegg et al 2015]. In computer graphics, the current background and set of tools for simulating the dynamics of cloth also gives the hope for multiple synergies to come with other disciplines: with the textile engineering community for instance, by merging virtual prototyping and real manufacturing of garments [Bingham 2012;Konaković et al 2016]; or with the robotic and medical assistance fields, by helping measure the feeling of a person when touching and grasping fabric [Erickson et al 2017].…”
mentioning
confidence: 99%
“…In another research, Bingham and Hague [59] conducted investigations to develop an efficient means of generating conformal rapid prototyping textile STL data suitable for textile manufacturing. The research presented a methodology for the efficient generation of complex 3D data based on the application of mapping meshes, which provided an efficient means of positioning large numbers of individual elements without any manual intervention with the capability to map complex geometry.…”
Section: D Printing Methodologies For Energy Harvesting Fabricsmentioning
confidence: 99%
“…Three important factors that have been identified to influence 3D printing of textiles are material, Fig. 8 Complete RP textile garment using mesh conforming process [59] structure and process. The process depends on the material and structure since the process determines which material and structure can be used.…”
Section: D Printing Methodologies For Energy Harvesting Fabricsmentioning
confidence: 99%
“…Additive manufacturing has recently found its way into the field of the textile industry and promises to revolutionize the textile supply chain [17]. Due to their potential to significantly improve both the geometric complexity and functionality available from conventional fiber-based textiles, AM presents an opportunity for development of novel solutions for conventional and high-performance textile applications [17,18]. Emergent 3D printing technologies are being built upon these fundamental methods by incorporating multi material printing to produce complex structures [9], bio-printing with various soft and biocompatible materials [10], optimizing the AM technology with higher speeds, improved resolution and lower costs [11,12] and combining AM with traditional manufacturing [11,[13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%