Intelligent mechanical manufacturing technology based on intelligent manufacturing technology

Author:

Zheng Kang

Abstract

With the development of intelligent manufacturing technology, the application of intelligent machinery manufacturing technology has been widely promoted. Intelligent machinery manufacturing technology is a technology that integrates advanced manufacturing technology and intelligent control technology. It can realize the intelligent control of the entire manufacturing process, improve the manufacturing efficiency and product quality, and reduce the manufacturing cost. Based on intelligent manufacturing technology, intelligent machinery manufacturing technology has been developed rapidly and has been widely applied in various fields such as automotive, aviation and so on. It can achieve the goals of automation, intelligence, high efficiency, and personalization, and promote the development of various industries towards intelligent manufacturing. However, there are still challenges in the development and application of intelligent machinery manufacturing technology, such as the high cost of equipment, the difficulty in controlling the manufacturing process, and the lack of skilled workers. Future research should focus on solving these challenges and promoting the further development and application of intelligent machinery manufacturing technology.

Publisher

EDP Sciences

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference4 articles.

1. Zhang X., & Qian Y. (2021). Research on intelligent manufacturing technology of mechanical equipment based on industry 4.0. In 2021 IEEE 3rd International Conference on Electronics Technology (ICET) (pp. 1548-1551). IEEE.

2. Dynamic interplay between dislocations and precipitates in creep aging of an Al-Zn-Mg-Cu alloy

3. Liu J., & Wang J. (2020). Research on intelligent manufacturing technology of mechanical equipment based on the integration of industrialization and informatization. In 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 1919-1923). IEEE.

4. Wang C., & Zhou L. (2019). Development of intelligent manufacturing technology based on industry 4.0. In 2019 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) (pp. 3026-3029). IEEE.

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