2003
DOI: 10.1016/s0890-6955(02)00271-7
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A novel approach to quantifying tool wear and tool life measurements for optimal tool management

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Cited by 60 publications
(26 citation statements)
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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%
“…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%
“…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%
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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%