Automatic Trajectory Determination in Automated Robotic Welding Considering Weld Joint Symmetry

Author:

Curiel David1,Veiga Fernando1ORCID,Suarez Alfredo2ORCID,Villanueva Pedro1ORCID,Aldalur Eider2ORCID

Affiliation:

1. Department of Engineering, Public University of Navarre, 31006 Pamplona, Spain

2. Basque Research and Technology Alliance (BRTA), TECNALIA, 20009 Donostia-San Sebastián, Spain

Abstract

The field of inspection for welded structures is currently in a state of rapid transformation driven by a convergence of global technological, regulatory, and economic factors. This evolution is propelled by several key drivers, including the introduction of novel materials and welding processes, continuous advancements in inspection technologies, innovative approaches to weld acceptance code philosophy and certification procedures, growing demands for cost-effectiveness and production quality, and the imperative to extend the lifespan of aging structures. Foremost among the challenges faced by producers today is the imperative to meet customer demands, which entails addressing both their explicit and implicit needs. Furthermore, the integration of emerging materials and technologies necessitates the exploration of fresh solutions. These solutions aim to enhance inspection process efficiency while providing precise quantitative insights into defect identification and location. To this end, our project proposes cutting-edge technologies, some of which have yet to gain approval within the sector. Noteworthy among these innovations is the integration of vision systems into welding robots, among other solutions. This paper introduces a groundbreaking algorithm for tool path selection, leveraging profile scanning and the concept of joint symmetry. The application of symmetry principles for trajectory determination represents a pioneering approach within this expansive field.

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)

Reference24 articles.

1. Weld bead recognition using laser vision with model-based classification;Ye;Robot Comput. Integr. Manuf.,2018

2. Prediction and control of weld bead geometry in gas metal arc welding process using genetic algorithm;Sreeraj;Int. J. Mech. Prod. Eng. Res. Dev.,2013

3. Autonomous detection of weld seam profiles via a model of saliency-based visual attention for robotic arc welding;He;J. Intell. Robot. Syst.,2015

4. Real-time defect detection in pulsed GTAW of Al alloys trough online spectroscopy;Zhang;J. Mater. Process. Technol.,2013

5. Audio sensing and modeling of and arc dynamic characteristic during pulsed al alloy GTAW process;Lv;Sens. Rev.,2013

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