A critical review of the state of the art literature in the monitoring of ultrasonic machining process and tool failure prediction

Mirad, Mehdi Mehtab; Das, Babulal

doi:10.1016/j.engfailanal.2021.105769

Cited by 8 publications

(3 citation statements)

References 97 publications

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“…Reference source not found. [16], Singh and Khamba studied ultrasonic machining of titanium and its alloys. The effects of different input parameters on tool wear rate, surface roughness and material removal rate in ultrasonic machining were studied.…”

Section: Cnc Machine Toolmentioning

confidence: 99%

“…The effects of different input parameters on tool wear rate, surface roughness and material removal rate in ultrasonic machining were studied. The results show that the hardness of abrasive particles should be greater than that of workpiece in order to obtain higher MRR [16]. Juho Ratava et al analyzed tool failures and used accelerometers to detect chip and small fractures at tool edges [16].…”

Section: Cnc Machine Toolmentioning

confidence: 99%

“…The results show that the hardness of abrasive particles should be greater than that of workpiece in order to obtain higher MRR [16]. Juho Ratava et al analyzed tool failures and used accelerometers to detect chip and small fractures at tool edges [16]. Vigneashwara Pandiyan et al used genetic algorithms to optimize the sensor signals obtained by acceleration sensors, acoustic sensors and force sensors to predict tool life in real time based on a support vector machine approach [18].…”

Section: Cnc Machine Toolmentioning

confidence: 99%

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Design and research of digital twin machine tool simulation and monitoring system

Guo

Fang

et al. 2022

Int J Adv Manuf Technol

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With the application of digital manufacturing technology and intelligent manufacturing technology in manufacturing industry, the existing simulation and monitoring methods of machine tools can not meet the requirements of enterprises, and gradually tend to use digital twin, OPC and other technologies to remote simulation and monitoring of machine tools. In order to prevent the accidental collision of machine tools, this paper builds the virtual model of machine tools based on the digital twin (DT) technology, detects the tool and machine tool collision model based on the improved GJK collision detection algorithm, and automatically controls the machine tool to stop when the tool and machine tool are about to collide. In order to improve the level of machine tool intelligent management, potential information extraction machine run time, this paper proposes a fast simulation method, machine tool CNC code used to detect the code is correct, and in the process of running through a visual component implementation monitoring the running state of the machine tool manufacturing process by monitoring data visualization and testing of large data, extracting the potential information, Realize the online prediction function of tool wear. Taking a turning process of Marine diesel engine cylinder liner as an example, the experimental test results show that the system can quickly judge the correctness of CNC code, effectively monitor the data of machine tool, predict tool wear degree and reduce the risk of tool collision.

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Section: Cnc Machine Toolmentioning

confidence: 99%

Section: Cnc Machine Toolmentioning

confidence: 99%

Section: Cnc Machine Toolmentioning

confidence: 99%

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Design and research of digital twin machine tool simulation and monitoring system

Guo

Fang

et al. 2022

Int J Adv Manuf Technol

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Non-traditional machining techniques for silicon wafers

Daud

Hasan

Saleh

et al. 2022

Int J Adv Manuf Technol

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Silicon (Si) micromachining techniques have recently witnessed significant advancement, attributable to the high surge in demand for microelectromechanical and microelectronic devices. Micromachining techniques are widely used to cut or pattern Si, in order to obtain high-quality surface finishes for the fabrication of devices. Micromachining techniques are used for the fabrication of three-dimensional (3D) microstructures for microelectromechanical devices. In this work, the capabilities and competencies of non-traditional Si micromachining techniques, including ultrasonic, ion beam milling, laser machining, and electrical discharge machining, are discussed and compared accordingly. The working principles, advantages, limitations, and Si microstructures that have been fabricated before are discussed in detail. Additionally, this work covers the performance reported by multiple researchers on these micromachining methods, spanning the temporal range of 1990 to 2020. The key outcomes of this study are explored and summarized.

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Investigation on focused ultrasound-assisted diamond wire sawing of silicon carbide

Yan,

Chen,

et al. 2023

Int J Adv Manuf Technol

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A critical review of the state of the art literature in the monitoring of ultrasonic machining process and tool failure prediction

Cited by 8 publications

References 97 publications

Design and research of digital twin machine tool simulation and monitoring system

Design and research of digital twin machine tool simulation and monitoring system

Non-traditional machining techniques for silicon wafers

Investigation on focused ultrasound-assisted diamond wire sawing of silicon carbide

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