A novel approach to quantifying tool wear and tool life measurements for optimal tool management

Kwon, Yongjin; Fischer, Glenn A.

doi:10.1016/s0890-6955(02)00271-7

Cited by 60 publications

(26 citation statements)

References 6 publications

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“…The wear curves are all smooth, monotonically increasing functions of cutting time. However, it should be noted that a single geometrical measurement cannot always be relied upon as an accurate and con- sistent measure of tool condition [11]. Image analyses of tool wear carried out at the University of Iowa have shown that tools used at the same depth of cut, but under varying feed and cutting speeds, can develop different wear patterns, e.g.…”

Section: Tool Wear Mechanismsmentioning

confidence: 99%

Assessment and visualisation of machine tool wear using computer vision

Kerr

Pengilley

Garwood

2005

Int J Adv Manuf Technol

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Tool wear monitoring is an integral part of modern CNC machine control. Cutting tools must be periodically checked for possible or actual premature failures, and it is necessary to record the cutting history for a tool's full life of utilisation. This means that an on-line monitoring system would be of great benefit to overall process control in manufacturing systems. Computer vision has already shown promise as a candidate technology for this task. In this paper, we describe the use of digital image processing techniques in the analysis of images of worn cutting tools in order to assess their degree of wear and thus remaining useful life. It is shown that a processing strategy using a variety of image texture measures allows for effective visualisation and assessment of tool wear, and indicates good correlation with the expected wear characteristics.

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Section: Tool Wear Mechanismsmentioning

confidence: 99%

Assessment and visualisation of machine tool wear using computer vision

Kerr

Pengilley

Garwood

2005

Int J Adv Manuf Technol

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“…Results of Kwon and Fischer [21] show that surface roughness increases when the flank wear increases. On the contrary, Kassim et al [12] suggested that an increase in the flank wear value decreases the roughness value.…”

Section: Introductionmentioning

confidence: 97%

“…Meanwhile, simulation of surface roughness of the workpiece in turning operation using the cutting tool affected by tool wear is not well documented. Also, different investigators did not have the same conclusion about the predominant type of tool wear affecting the surface roughness in turning operation [12,[19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 98%

“…However, flank wear is not a reliable parameter to predict the surface roughness [25]. Also, Kwon and Fischer [21] concluded that the combination of nose wear and flank wear can be used to evaluate the surface roughness of a specimen. On the other hand, Sung et al [22] reported that the nose wear affects the surface quality of the specimen in turning machining.…”

Section: Introductionmentioning

confidence: 99%

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Simulation and measurement of surface roughness via grey scale image of tool in finish turning

Shahabi

Ratnam

2016

Precision Engineering

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“…Optimizing asset utilization may involve tuning up machine parameters such as feed, speed, and depth of cut to maximize usage of a worn tool or minimize failure risks (Kwon and Fischer 2003;Lee et al 2006). In this scenario, integrating RFID technology-a sensor-driven maintenance system-can be effective for tool management.…”

Section: Introductionmentioning

confidence: 99%

Evaluation models for service oriented process in spare parts management

Cheng

Prabhu

2010

J Intell Manuf

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Maintenance, repair, operation (MRO) and spare parts supply is a critical issue for expensive repairable items such as cutting tool in the metal cutting industry. A new type of servicization model in the cutting tool supply chain reveals that most research has focused on local optimization of operational issues such as tool monitoring, spare parts management, logistics, and scheduling problems in isolation. The innovation in technologies, such as radio frequency identification and web services, for information sharing provides the ability to plan and schedule the tool requirement cross different layers in the MRO supply chain. However, their impact on the, technology complexity and performance is uncertain. In order to provide evaluation approach at the design phase, this paper analyzes the service oriented process from two dimensions that evaluate technology complexity, and system performance. Implementation of these evaluation models helps organizations analyze the business processes and further improve them through the analysis.

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A novel approach to quantifying tool wear and tool life measurements for optimal tool management

Cited by 60 publications

References 6 publications

Assessment and visualisation of machine tool wear using computer vision

Assessment and visualisation of machine tool wear using computer vision

Simulation and measurement of surface roughness via grey scale image of tool in finish turning

Evaluation models for service oriented process in spare parts management

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