Sensors for in-process and on-machine monitoring of machining operations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F24%3A00375292" target="_blank" >RIV/68407700:21220/24:00375292 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.cirpj.2024.05.001" target="_blank" >https://doi.org/10.1016/j.cirpj.2024.05.001</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.cirpj.2024.05.001" target="_blank" >10.1016/j.cirpj.2024.05.001</a>
Alternative languages
Result language
angličtina
Original language name
Sensors for in-process and on-machine monitoring of machining operations
Original language description
Machining is extensively used for producing functional parts in various industries such as aerospace, automotive, energy, etc. There is a growing demand for improved part quality and performance at lower costs from increasingly difficult-to-machine materials. Whilst modern machine tools are equipped with sensors for closed loop control of their axes’ movements and position, they provide minimal information regarding the cutting performance and tool condition. The integration of additional sensors into cutting tools, machine tools and/or their components can provide an insight into the machining performance. It also provides an opportunity to improve the machining process and reduce the need for post-process inspection and rework. This paper presents a comprehensive analysis of various sensors utilised for in-process and on-machine measurement and monitoring of machining performance parameters such as cutting forces, vibrations, tool wear, surface integrity, etc. Data transfer and communication methods, as well as power supply options for sensor-integrated systems are also investigated. Sensor integrated machining systems can potentially improve machining performance and part quality by early detection of errors and damages, maximising tool usage and preventing machining and tool wear induced damages. A combination of sensor data collection and intelligent sensor signal processing can further increase the capabilities of sensor integrated systems from process monitoring to active process control.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
<a href="/en/project/EF16_026%2F0008404" target="_blank" >EF16_026/0008404: Machine Tools and Precision Engineering</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
CIRP Journal of Manufacturing Science and Technology
ISSN
1755-5817
e-ISSN
1878-0016
Volume of the periodical
51
Issue of the periodical within the volume
July
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
30
Pages from-to
263-292
UT code for WoS article
001292251000001
EID of the result in the Scopus database
2-s2.0-85193204286