Robotic Conformal Material Extrusion 3D Printing for Appending Structures on Unstructured Surfaces

Author:

Armstrong Connor David12ORCID,Montgomery Stuart Macrae1,Yue Liang1,Demoly Frédéric3,Zhou Kun4,Qi H. Jerry12ORCID

Affiliation:

1. The George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology Atlanta GA 30332 USA

2. Renewable Bioproducts Institute Georgia Institute of Technology Atlanta GA 30332 USA

3. ICB UMR 6303 CNRS Belfort-Montbeliard University of Technology UTBM Belfort 90010 France

4. Singapore Centre for 3D Printing School of Mechanical and Aerospace Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Singapore

Abstract

Fabrication of structures in unstructured conditions is a promising area of bolstering the application spaces of additive manufacturing (AM). One emerging application is appending structures on existing ones that may have nonplanar surfaces in unconventional orientations. However, extrusion‐based AM techniques are limited to printing on structured, planar environments with a fixed single‐nozzle direction. Herein, the authors present a dexterous conformal material extrusion printing method using a six‐axis robotic arm capable of constructing complex parts onto highly unstructured surfaces with rough topographies. The manufacturing method employs a custom algorithm that generates layers consisting of 3D spatial coordinates of print path as well as the extrusion nozzle oriented in the normal direction of the substrate, thereby enabling conformal motion of the extrusion nozzle to the unstructured surface. The capabilities of the surface‐informed robotic conformal 3D printing method to fabricate structures on surfaces with a variety of topographies in unconventional orientations are demonstrated. Finally, via addition of deposited conductive paths, a high‐strength, functional reinforcement capable of in situ deformation monitoring is appended. This work has the potential for reconstructing, repairing, and reinforcing existing structures in human‐limited or inaccessible spaces. Integration of functional elements can also enable in situ sensing, monitoring, and self‐diagnosis.

Funder

Air Force Office of Scientific Research

Publisher

Wiley

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3