Results 11 to 20 of about 5,830,632 (387)

An Influence of Parameters of Micro-electrical Discharge Machining on Wear of Tool Electrode [PDF]

open access: yesArchive of Mechanical Engineering, 2017
To achieve better precision of features generated using the micro-electrical discharge machining (micro-EDM), there is a necessity to minimize the wear of the tool electrode, because a change in the dimensions of the electrode is reflected directly or ...
Puthumana Govindan
doaj   +4 more sources

Tool wear mechanism, monitoring and remaining useful life (RUL) technology based on big data: a review

open access: yesSN Applied Sciences, 2022
Tool wear is a key factor affecting many aspects of metal cutting machining, including surface quality, machining efficiency and tool life. As machining continues to evolve towards intelligence, hot spots and trends in tool wear-related research are also
Yang Zhou   +4 more
semanticscholar   +1 more source

Enhancing the Tribological Performance of Tool Steels for Wood-Processing Applications: A Comprehensive Review

open access: yesMetals, 2023
The stochastic nature of tool wear during wood machining, owing to the dynamic properties of the biological material and its dependence on various factors, has raised significant industrial and research concerns in recent years. Explicitly, the tool wear
Musa Muhammed   +3 more
doaj   +1 more source

The Effects of MQL and Dry Environments on Tool Wear, Cutting Temperature, and Power Consumption during End Milling of AISI 1040 Steel

open access: yesMetals, 2021
Minimum quantity lubrication (MQL) is a sustainable method that has been efficiently applied to achieve machinability improvements with various materials in recent years, such as hardened steels, superalloys, soft metals, and composites.
E. Salur   +3 more
semanticscholar   +1 more source

Self-supervised learning for tool wear monitoring with a disentangled-variational-autoencoder

open access: yesInternational Journal of Hydromechatronics, 2021
: The use of end-to-end deep learning in machinery health monitoring allows machine learning models to be created without the need for feature engineering. The research presented here expands on this use in the context of tool wear monitoring.
T. Hahn, C. Mechefske
semanticscholar   +1 more source

A Novel Machine Learning-Based Methodology for Tool Wear Prediction Using Acoustic Emission Signals

open access: yesItalian National Conference on Sensors, 2021
There is an increasing trend in the industry of knowing in real-time the condition of their assets. In particular, tool wear is a critical aspect, which requires real-time monitoring to reduce costs and scrap in machining processes.
J. L. Chacón   +5 more
semanticscholar   +1 more source

The performance of modified jatropha-based nanofluid during turning process [PDF]

open access: yes, 2021
The industry's extensive use of petroleum-based metalworking fluid (MWF) harms the environment and humans. The production of bio-based MWF, especially from crude jatropha oil (CJO), has therefore taken numerous initiatives.
Abdullah, H.   +6 more
core   +1 more source

CUTTING TOOL PERFORMANCE IN TURNING OF AL 7075-T651 ALUMINIUM ALLOY

open access: yesInternational Islamic University Malaysia Engineering Journal, 2020
Recently, almost 70% of a commercial jetliner’s airframe is made of aluminium alloys. It is predicted that the application of aluminium alloy is to increase up to 65% by the year 2025.
Natasha A. Raof   +5 more
doaj   +1 more source

Application of wavelet analysis in tool wear evaluation using image processing method [PDF]

open access: yes, 2018
Tool wear plays a significant role for proper planning and control of machining parameters to maintain the product quality. However, existing tool wear monitoring methods using sensor signals still have limitations.
Lee, Woon Kiow   +5 more
core   +1 more source

Modelling flan wear of carbide tool insert in metal cutting [PDF]

open access: yes, 2005
In this paper theoretical and experimental studies are carried out to investigate the intrinsic relationship between tool flank wear and operational conditions in metal cutting processes using carbide cutting inserts.Anewflank wear rate model, which ...
Armarego   +13 more
core   +1 more source

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