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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

An overview of techniques for monitoring and compensating tool wear in micro-electrical discharge machining [PDF]

open access: yesHeliyon
Micro-electrical discharge machining (μEDM) is severely affected by tool wear and its process variants, which can lead to compromised precision and dimensional disruptions in micro-part production.
Rahul Nadda   +5 more
doaj   +2 more sources

Prediction of Tool Wear Rate and Tool Wear during Dry Orthogonal Cutting of Inconel 718

open access: yesMetals, 2023
A new prediction method was proposed based on the positive feedback relationship between tool geometry and tool wear rate. Dry orthogonal cutting of Inconel 718 was used as a case study. Firstly, tool wear rate models and a tool wear prediction flowchart
Ziqi Zhang   +3 more
doaj   +1 more source

The Study of Tool Wear Mechanism Considering the Tool–Chip Interface Temperature during Milling of Aluminum Alloy

open access: yesLubricants, 2023
ADC12 aluminum alloy has been widely used in the aerospace, ship, and automotive fields because of its high specific strength, excellent die-casting performance, and wear resistance.
Xinxin Meng   +3 more
doaj   +1 more source

Study on In-Situ Tool Wear Detection during Micro End Milling Based on Machine Vision

open access: yesMicromachines, 2022
Most in situ tool wear monitoring methods during micro end milling rely on signals captured from the machining process to evaluate tool wear behavior; accurate positioning in the tool wear region and direct measurement of the level of wear are difficult ...
Xianghui Zhang   +6 more
doaj   +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

Wear behavior of different coated tools in MQL-assisted milling of magnesium-based rare-earth alloys

open access: yesJournal of Materials Research and Technology, 2023
One of the most important and often employed indicators for describing machinability and machining quality is tool wear. While flank wear is commonly used to gauge the extent of a worn scar, tool wear is characterized more by its shape than its size.
Linfeng Li   +4 more
doaj   +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

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

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

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