机电工程技术2024，Vol.53Issue(12)：181-186,6.DOI:10.3969/j.issn.1009-9492.2024.12.036
人工智能的陶瓷整线工艺质量优化分析
Artificial Intelligence in the Optimization of Ceramic Production Line Process Quality
杨学先 1李庆民 1林源升1
作者信息
- 1. 科达制造股份有限公司,广东 佛山 528000
- 折叠
摘要
Abstract
In the ceramic manufacturing industry,optimizing the entire process is key to improving product quality and production efficiency.The integration of artificial intelligence technology is studied to build a process optimization model that covers the entire ceramic production process.The model optimizes every step from raw material preparation to finished product sorting through in-depth correlation analysis between process parameters and product quality,and provides a method for deriving more precise process inspection and technical requirements.New ideas are offered for effectively improving production efficiency and product quality,reducing production costs,and promoting technological innovation and industrial upgrading in the industry,providing a feasible new path for the technological upgrading and transformation of the ceramic industry.The research covers the application of intelligent technology in key stages such as raw material preparation,pressing and shaping,deep processing,and sintering,as well as the development of automatic detection and classification tools for ceramic product defects.In addition,the project builds a correlation model between process parameters and product quality to provide a scientific basis for the continuous improvement of the production process,thus achieving precise control and management of the entire ceramic production line.关键词
人工智能/工艺优化/陶瓷生产/过程检查/质量管理Key words
artificial intelligence/process optimization/ceramic production/process inspection/quality management分类
信息技术与安全科学引用本文复制引用
杨学先,李庆民,林源升..人工智能的陶瓷整线工艺质量优化分析[J].机电工程技术,2024,53(12):181-186,6.
