Prediction of Machining Condition Using Time Series Imaging and Deep Learning in Slot Milling of Titanium Alloy
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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In: Journal of Manufacturing and Materials Processing 6.2022, 6, 145
- Event
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Veröffentlichung
- (where)
-
Furtwangen
- (who)
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Hochschule Furtwangen
- (when)
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2022
- Creator
- DOI
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10.3390/jmmp6060145
- URN
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urn:nbn:de:bsz:fn1-opus4-90338
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:48 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Hojati, Faramarz
- Azarhoushang, Bahman
- Daneshi, Amir
- Hajyaghaee Khiabani, Rostam
- Hochschule Furtwangen
Time of origin
- 2022
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A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm
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Comparative investigation and optimization of cutting tools performance during milling machining of titanium alloy (Ti6Al4V) using response surface methodology
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Investigation of the influence of electrolytic milling machining parameters on the machining accuracy of thin-walled parts
Focused Ion Beam Milling as a Method for Machining Explosive Crystals **
Predicting critical machining conditions using time-series imaging and deep learning in slot milling of titanium alloy
A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm
Machining of titanium alloys
Accurate vibration-free robotic milling electric discharge machining
Laser assisted micro-milling of titanium alloy
Wear Properties of Titanium and Ti6Al4V Titanium Alloy by Mechanical Milling
High Performance Machining of Profiled Slots in Nickel-Based-Superalloys
Comparative investigation and optimization of cutting tools performance during milling machining of titanium alloy (Ti6Al4V) using response surface methodology
Influence of machining parameters on the polymer concrete milling process
Machining of CFRP: drilling and milling of unstable work pieces
Investigation of the influence of electrolytic milling machining parameters on the machining accuracy of thin-walled parts