A Digital Twin-Based Manufacturing System for Advanced Technical Training

Author:

Vasco Joel Oliveira Correia1ORCID,Cremonini Carlos Eduardo,Capela Carlos Alexandre Bento,Silva Agostinho Manuel Antunes da,Gaspar Marcelo Rudolfo Calvete

Affiliation:

1. Polytechnic Institute of Leiria

Abstract

Abstract The fast evolution of Industry 4.0 technologies has led to a new era of manufacturing systems, with Digital Twins at the forefront. These virtual replicas offer invaluable opportunities for simulation and optimization for new manufacturing processes, since their most transformative impact may lie in the realm of Advanced Technical Training. This article dives into the integration of Digital Twins into manufacturing systems, with a particular focus on their role in training engineers and technicians for real-world challenges, especially in the stone sector dimension. Through the InovMINERAL 4.0 project, it is possible to demonstrate how Digital Twins serve not just as diagnostic tools but as robust educational platforms. It was introduced a comprehensive remote training algorithm that ensures effective, secure, and hands-on training experiences. The algorithm covers everything from secure VPN setup to real-time machining simulations, providing a holistic training approach that prepares trainees for the complexities of modern manufacturing. As the industry shifts to a more digitized landscape, the proper implementation of Digital Twins in technical training emerges as a critical factor for maintaining competitiveness and fostering innovation.

Publisher

Research Square Platform LLC

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