Results 11 to 20 of about 6,147,181 (407)

Calculation of the Intensity of Adhesive-Fatigue Wear of Cutting Tools [PDF]

open access: diamond, 2016
On the base of kinetic equation of strength the authors suggest the method carbide tools wear intensity calculation allowing comparing wear resistance basing on tool material thermal diffusivity coefficient.
Vladislav L. Bibik   +2 more
openalex   +3 more sources

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 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

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

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

Tool Wear in Nickel-Based Superalloy Machining: An Overview

open access: yesProcesses, 2022
Nickel-based superalloys have been widely used in the aerospace, petrochemical, and marine fields and others because of their good oxidation resistance, corrosion resistance, stability, and reliability at various temperatures.
Rui Wang   +5 more
semanticscholar   +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

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

Influence of cutting parameters and tool wear on the surface integrity of cobalt-based Stellite 6 alloy when machined under a dry cutting environment [PDF]

open access: yes, 2016
The efficiency of a machining process can be measured by evaluating the quality of the machined surface and the tool wear rate. The research reported herein is mainly focused on the effect of cutting parameters and tool wear on the machined surface ...
Alexander Galloway   +19 more
core   +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

Home - About - Disclaimer - Privacy