Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends

被引：44

作者：

Binali, Rustem ^{[1
]}

Kuntoglu, Mustafa

Pimenov, Danil Yu. ^{[2
]}

Usca, Usame Ali ^{[1
,3
]}

Gupta, Munish Kumar ^{[4
]}

Korkmaz, Mehmet Erdi ^{[5
]}

机构：

[1] Selcuk Univ, Technol Fac, Mech Engn Dept, TR-42130 Konya, Turkey

[2] South Ural State Univ, Dept Automated Mech Engn, Lenin Prosp 76, Chelyabinsk 454080, Russia

[3] Bingol Univ, Fac Engn & Architecture, Dept Mech Engn, TR-12000 Bingol, Turkey

[4] Opole Univ Technol, Fac Mech Engn, 76 Proszkowska St, PL-45758 Opole, Poland

[5] Karabuk Univ, Dept Mech Engn, Karabuk, Turkey

来源：

MEASUREMENT | 2022年 / 201卷

关键词：

Hole machining; Industry; 4; 0; Sensors; Smart manufacturing system; Tool condition monitoring; MINIMUM QUANTITY LUBRICATION; TOOL WEAR; SURFACE-ROUGHNESS; CUTTING PARAMETERS; ACOUSTIC-EMISSION; DRILLING PROCESS; FLANK WEAR; FORMATION MECHANISMS; CFRP/TI6AL4V STACKS; THRUST FORCE;

D O I：

10.1016/j.measurement.2022.111757

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This review paper summarizes the application of smart manufacturing systems utilized in drilling and hole machining processes. In this perspective, prominent sensors such as vibration, cutting forces, temperature, current/power and sound used in the contemporary indirect and direct tool condition monitoring systems are handled one-by-one according to their applications during machining of holes. Thus, it is aimed to show several operations with the application stages and literature papers which utilize the sensorial data such as grinding, reaming, broaching, boring, tapping, drilling and countersinking. The novel side of this paper is summarizing the all-hole machining processes utilizing sensor systems while benefitting their predictive ability for improved machinability characteristics such as surface integrity, tool wear, dimensional accuracy, chip morphology.

引用

页数：27

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