Results 11 to 20 of about 6,071,763 (407)

Tool Wear Condition Monitoring Method Based on Deep Learning with Force Signals. [PDF]

open access: yesSensors (Basel), 2023
Tool wear condition monitoring is an important component of mechanical processing automation, and accurately identifying the wear status of tools can improve processing quality and production efficiency.
Zhang Y, Qi X, Wang T, He Y.
europepmc   +2 more sources

Comparison of Tool Wear, Surface Morphology, Specific Cutting Energy and Cutting Temperature in Machining of Titanium Alloys Under Hybrid and Green Cooling Strategies

open access: yesInternational Journal of Precision Engineering and Manufacturing - Green Technology, 2023
Cutting energy must be reduced in order to make machining processes more eco-friendly. More energy was expended for the same amount of material removed, hence a higher specific cutting energy (SCE) implies inefficient material removal.
M.K. Gupta   +6 more
semanticscholar   +1 more source

Tool Wear Monitoring with Artificial Intelligence Methods: A Review

open access: yesJournal of Manufacturing and Materials Processing, 2023
Tool wear is one of the main issues encountered in the manufacturing industry during machining operations. In traditional machining for chip removal, it is necessary to know the wear of the tool since the modification of the geometric characteristics of ...
Roberto Munaro   +2 more
semanticscholar   +1 more source

Tool wear prediction in face milling of stainless steel using singular generative adversarial network and LSTM deep learning models

open access: yesThe International Journal of Advanced Manufacturing Technology, 2022
During milling operations, wear of cutting tool is inevitable; therefore, tool condition monitoring is essential. One of the difficulties in detecting the state of milling tools is that they are visually inspected, and due to this, the milling process ...
M. Shah   +5 more
semanticscholar   +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

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

A review on tool wear issues in drilling CFRP laminates

open access: yesFrontiers in Materials, 2022
Carbon fiber reinforced polymer (CFRP) laminates are featured by superior mechanical properties and excellent structural functions, which have been a promising alternative to conventional alloys and steels in diverse industrial fields.
Jinyang Xu
semanticscholar   +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

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

Toward a better understanding of tool wear effect through a comparison between experiments and SPH numerical modelling of machining hard materials [PDF]

open access: yes, 2009
The aim of this study is to improve the general understanding of tungsten carbide (WC–Co) tool wear under dry machining of the hard-to-cut titanium alloy Ti6Al4V. The chosen approach includes experimental and numerical tests.
Bil   +26 more
core   +7 more sources

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