Digitising a Machine Tool for Smart Factories

Author:

Averyanov AntonORCID,Aheleroff ShohinORCID,Polzer JanORCID,Xu XunORCID

Abstract

Smart factory development renders an incredible opportunity for the manufacturing industry to join the Fourth Industrial Revolution (Industry 4.0). However, an incredible number of conventional CNC machine tools are populating the world’s factories. Replacing these machines is an expensive process. This task might be considered unliftable by most small businesses. An inexpensive digitalisation of Machine Tool 3.0 to an Industry 4.0-compatible tool might be one way for small businesses to keep up with the progress and stay competitive. The developed framework uses recent advances in the open-source community to transform a conventional CNC machine into Machine Tool 4.0. The suggested approach opens up a way to bypass the proprietary computer numerical control and enable connectivity and efficient data communication with the machine tool. At almost no cost, the provided strategy converts an average CNC machine into a machine tool with the full spectrum of accessibility and interoperability of Machine Tool 4.0. The proposed solution can enable small- and medium-sized enterprises to step up and propel them into the Industry 4.0 era.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Optimization,Mechanical Engineering,Computer Science (miscellaneous),Control and Systems Engineering

Cited by 3 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

1. Review on errors and transmission characteristics of the planetary roller screw mechanism;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2024-01-08

2. Analyzing Industry 4.0 Adoption Barriers of Small and Medium-sized Enterprises and Existing Support;2023 IEEE Engineering Informatics;2023-11-22

3. A Flexible and Reliable Internet-of-Things Solution for Real-Time Production Tracking With High Performance and Secure Communication;IEEE Transactions on Industry Applications;2023-05

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