Related Experiment Video
Updated: Jun 3, 2025
07:42
Detecting the Water-soluble Chloride Distribution of Cement Paste in a High-precision Way
Published on: November 21, 2017
9.6K
Review of advanced sensor system applications in grinding operations
Danil Yu Pimenov1, Leonardo Rosa Ribeiro da Silva2, Mustafa Kuntoğlu3
1Department of Automated Mechanical Engineering, South Ural State University, Lenin Prosp. 76, Chelyabinsk 454080 Russia.
Journal of Advanced Research
|January 11, 2025
Summary
Effective tool condition monitoring in grinding operations is crucial for maintaining product quality and predicting tool life. This review examines sensor systems and AI integration to enhance grinding efficiency and reduce downtime.
Area of Science:
- Manufacturing Engineering
- Materials Science
- Artificial Intelligence
Background:
- Grinding operations are essential for achieving precise dimensions and surface finish in various industries.
- Tool wear in grinding negatively impacts workpiece quality and requires effective monitoring.
- Monitoring tool wear enables prediction of tool life, maintenance planning, and consistent product quality.
Purpose of the Study:
- To review current direct and indirect tool condition monitoring techniques in grinding.
- To examine sensor systems and their application in traditional and AI-driven grinding.
- To provide insights into improving process efficiency, reducing downtime, and enhancing product quality through monitoring.
Main Methods:
- Review of sensor technologies including imaging, vibration analysis, acoustic emission, and force measurement.
- Analysis of direct and indirect monitoring techniques for tool condition.
- Examination of artificial intelligence integration in grinding monitoring systems.
Main Results:
- Sensor systems are vital for detecting tool wear and predicting failures, enabling timely interventions.
- AI integration enhances monitoring capabilities, allowing for proactive strategies and adaptive processes.
- Effective monitoring improves process efficiency, reduces unplanned downtimes, and ensures consistent workpiece quality.
Conclusions:
- Tool condition monitoring is critical for optimizing grinding operations.
- Sensor systems coupled with AI offer advanced capabilities for real-time grinding process management.
- Implementing intelligent monitoring strategies leads to significant improvements in manufacturing efficiency and product quality.
