Results 81 to 90 of about 5,320,548 (290)

An online monitoring method of milling cutter wear condition driven by digital twin

open access: yesScientific Reports
Real-time online tracking of tool wear is an indispensable element in automated machining, and tool wear directly impacts the processing quality of workpieces and overall productivity.
Xintian Zi, Shangshang Gao, Yang Xie
doaj   +1 more source

A Multi-Task Joint Learning Model Based on Transformer and Customized Gate Control for Predicting Remaining Useful Life and Health Status of Tools

open access: yesSensors
Previous studies have primarily focused on predicting the remaining useful life (RUL) of tools as an independent process. However, the RUL of a tool is closely related to its wear stage.
Chunming Hou, Liaomo Zheng
doaj   +1 more source

Tool Wear and Material Removal Predictions in Micro-EDM Drilling: Advantages of Data-Driven Approaches

open access: yesApplied Sciences, 2020
In micro electrical discharge drilling, regression models are commonly used for predicting the material removal rate (MRR) and tool wear rate (TWR) from the applied processing parameters.
Mattia Bellotti   +3 more
doaj   +1 more source

Bio‐Inspired Artificial Ionic Mechanoreceptor

open access: yesAdvanced Functional Materials, EarlyView.
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari   +4 more
wiley   +1 more source

Rapid Microwave Plasma Engineering of HfO2/C@C Core‐Shell Fibrous Membrane Toward Flexible High‐Performance Electromagnetic Wave Absorption

open access: yesAdvanced Functional Materials, EarlyView.
Rapid microwave plasma torch engineering tunes crystal phases, carbon graphitization and oxygen‐vacancy defects in HfO2/C@C core‐shell fibrous membranes. Synergistic multi‐loss effects optimize impedance matching to deliver −65.75 dB reflection loss and a 7.37 GHz effective bandwidth for flexible electromagnetic wave absorption.
Qichao Ding   +14 more
wiley   +1 more source

Tool Wear Prediction when Maching Ti6Al4V Using Different Tool Materials

open access: yes, 2011
The tool life is different when using different tool materials machine Ti6Al4V under different cutting conditions. Based on the experiments of cutting Ti6Al4V using different tool materials, the tool wear prediction model is established with BP neural ...
Ming Ming Cheng   +3 more
core   +1 more source

Modelling and simulation of dynamic wheel-rail interaction using a roller rig [PDF]

open access: yes, 2012
The interaction between the wheel and rail greatly influences the dynamic response of railway vehicles on the track. A roller rig facility can be used to study and monitor real time parameters that influence wheel-rail interaction such as wear, adhesion,
Gu, Fengshou   +7 more
core   +1 more source

Research on tool wear prediction based on Archard agglomeration scavenging theory

open access: yesAdvances in Mechanical Engineering, 2017
Nickel-based superalloy Inconel 718 has been widely used in the modern aviation field, however, its cutting performance is poor. This performance not only affects the effectiveness of the use of the tool but also reduces the efficiency of production.
Weichao Zhang   +7 more
doaj   +1 more source

Sacrificial‐Layer‐Assisted Heat‐Affected‐Zone Suppression in Laser Patterning of PET for High‐Performance Flexible Devices

open access: yesAdvanced Functional Materials, EarlyView.
A removable sacrificial polymer layer engineers the thermal boundary condition during nanosecond laser ablation of PET, suppressing heat‐affected‐zone formation without relying on costly ultrafast lasers. This strategy enables deep, high‐aspect‐ratio trenches with no detectable heat‐affected zone, templating silver‐filled mesh electrodes with record ...
Mehdi Zarei   +3 more
wiley   +1 more source

Analytical Prediction of Cutting Tool Wear by Analysis of Wear Models

open access: yesHungarian Journal of Industry and Chemistry
The management of cutting tool wear and tool life is a long-standing topic in machining research and practice. Although a wide range of analytical and data-driven wear models has been proposed, their direct applicability in defining a robust tool life criterion and for practical tool life prediction remains limited.
János Kodácsy   +2 more
openaire   +1 more source

Home - About - Disclaimer - Privacy