Abstract
Qian Qiao, Dawei Guo, Lap-Mou Tam
Abstract
Authors
Institutions
Provenance
crossref
Confidence 100%
ror
Confidence 99%
openalex
Confidence 95%
datacite
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10.1201/9781003263296
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Force–torque-based online tool wear estimation system for CNC milling of Inconel 718 using neural networks
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Evaluation of surface integrity in micro-drilling process for nickel-based superalloy
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Dynamic response and strength failure analysis of bottomhole under balanced drilling condition
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Physicochemical co-evolution of SUS304 ultra-thin steel foils induced by laser and its effect on interface bonding of steel/CFRP joints
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Effects of high-pressure cooling on the flank and rake faces of WC tools on the tool wear mechanism and process conditions in turning of alloy 718
10.1016/j.wear.2019.05.037 · 2019
Effects of high-pressure cooling on the flank and rake faces of WC tools on the tool wear mechanism and process conditions in turning of alloy 718
10.1016/j.wear.2019.05.037 · doi-reference
Physicochemical co-evolution of SUS304 ultra-thin steel foils induced by laser and its effect on interface bonding of steel/CFRP joints
10.1007/s42243-025-01613-2 · doi-reference
10.3390/mi17020227
10.3390/mi17020227 · doi-reference
10.3390/jmmp9120389
10.3390/jmmp9120389 · doi-reference
10.3390/ma18163768
10.3390/ma18163768 · doi-reference
Dynamic response and strength failure analysis of bottomhole under balanced drilling condition
10.1016/j.petrol.2020.107561 · doi-reference
A review of fundamental mechanisms, dominant failure modes, and mitigation strategies in deep-hole drilling with twist drills
10.1007/s00170-026-18554-z · doi-reference
Research on the factors influencing the skew-making ability of structural bent-angle drilling tools and structural optimization
10.1016/j.petrol.2021.109863 · doi-reference
10.3390/machines14020193
10.3390/machines14020193 · doi-reference
Research on rock mechanics parameter prediction based on the frequency spectrum characteristics of vibration while drilling
10.1007/s11770-025-1336-3 · doi-reference
Robot-assisted adaptive control enhances dental drilling force stability
10.1016/j.identj.2026.109722 · doi-reference
10.3390/machines13070554
10.3390/machines13070554 · doi-reference
Evaluation of surface integrity in micro-drilling process for nickel-based superalloy
10.1007/s00170-010-3062-z · doi-reference
10.3390/s16060795
10.3390/s16060795 · doi-reference
10.3390/s24175542
10.3390/s24175542 · doi-reference
A novel smart toolholder with embedded force sensors for milling operations
10.1016/j.ymssp.2022.109130 · doi-reference
Cutting tool wear monitoring based on a smart toolholder with embedded force and vibration sensors and an improved residual network
10.1016/j.measurement.2022.111520 · doi-reference
An embedded multi-sensor system on the rotating dynamometer for real-time condition monitoring in milling
10.1007/s00170-017-1251-8 · doi-reference
The relationships between cutting parameters, tool wear, cutting force, and vibration
10.1177/1687814017750434 · doi-reference
Force–torque-based online tool wear estimation system for CNC milling of Inconel 718 using neural networks
10.1016/j.advengsoft.2010.12.002 · doi-reference
Drill wear monitoring using cutting force signals
10.1016/j.mechatronics.2003.10.005 · doi-reference
10.3390/machines12120833
10.3390/machines12120833 · doi-reference
10.3390/jsan13050053
10.3390/jsan13050053 · doi-reference
Tool wear intelligent monitoring techniques in cutting: A review
10.1007/s12206-022-1229-9 · doi-reference
Tool wear in machining of difficult-to-machine materials: A review
10.1007/s00170-024-14193-4 · doi-reference
Experimental study on effect of machining parameters and environment on drilling characteristics of stainless steel 304
10.4028/www.scientific.net/amm.852.273 · doi-reference
Wear performance of surface-treated drills in high-speed drilling of AISI 304 stainless steel
10.1016/j.jmapro.2020.08.022 · doi-reference
10.1016/j.ijrmhm.2026.107859
10.1016/j.ijrmhm.2026.107859 · doi-reference
10.1201/9781003263296
10.1201/9781003263296 · doi-reference
10.3390/s20010267
10.3390/s20010267 · doi-reference
10.5772/intechopen.96497
10.5772/intechopen.96497 · doi-reference