Article detail · 2021
A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends.
Journal
Sensors (Basel, Switzerland)ISSN 1424-8220
The ISSN points to another catalog journal; the name is from the YÖKSİS record.
- Year
- 2021
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Sensors (Basel, Switzerland)
- Catalog match (ISSN) Sensors
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
The complex structure of turning aggravates obtaining the desired results in terms of tool wear and surface roughness. The existence of high temperature and pressure make difficult to reach and observe the cutting area. In-direct tool condition, monitoring systems provide tracking the condition of cutting tool via several released or converted energy types, namely, heat, acoustic emission, vibration, cutting forces and motor current. Tool wear inevitably progresses during metal cutting and has a relationship with these energy types. Indirect tool condition monitoring systems use sensors situated around the cutting area to state the wear condition of the cutting tool without intervention to cutting zone. In this study, sensors mostly used in indirect tool condition monitoring systems and their correlations between tool wear are reviewed to summarize the literature survey in this field for the last two decades. The reviews about tool condition monitoring systems in turning are very limited, and relationship between measured variables such as tool wear and vibration require a detailed analysis. In this work, the main aim is to discuss the effect of sensorial data on tool wear by considering previous published papers. As a computer aided electronic and mechanical support system, tool condition monitoring paves the way for machining industry and the future and development of Industry 4.0.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
295 citations
OpenAlex cited_by_count (cache / database)
56 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review 2023
- A state-of-the-art review on sensors and signal processing systems in mechanical machining processes 2021
- A state-of-the-art review on sensors and signal processing systems in mechanical machining processes 2021
- A state-of-the-art review on sensors and signal processing systems in mechanical machining processes 2021
- Tool wear, surface roughness, cutting temperature and chips morphology evaluation of Al/TiN coated carbide cutting tools in milling of Cu\u2013B\u2013CrC based ceramic matrix composites 2022
- Indirect monitoring of machining characteristics via advanced sensor systems: a critical review 2022
- Indirect monitoring of machining characteristics via advanced sensor systems: a critical review 2022
- State-of-the-art review of applications of image processing techniques for tool condition monitoring on conventional machining processes 2024
- State-of-the-art review of applications of image processing techniques for tool condition monitoring on conventional machining processes 2024
- Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends 2022