Development of Wear Sensor for Tool Management System

Rutelli, G.; Cuppini, D.

doi:10.1115/1.3226011

Cited by 11 publications

(4 citation statements)

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“…However, studies adopting a more unified approach towards all aspects of tool management have recently started appearing in the literature. Stecke (1983Stecke ( , 1989; Stecke and Talbot (1985); Kusiak (1986a); Sarin and Chen (1987);Cuppan (1986); Ventura et al (1988) Bao (1980Kordysh (1987); Sharit andElhence (1989) Crite et al (1985); Maccarini et al (1987); Perera and Carrie (1987);Hedlund et al (1990) Rutelli andCuppini (1988); Kincaid (1989);Powell et al (1984); Gee et al (1984);Brown (1988); Stockline (1984 and) Knutton (1990);Quinlan (1988b); Kochan (1986); Murphy and Kay (1987); Ames (1986);Brigida (1986) Brunette (1989; Bellmann and Becker (1989) Mason (1986Gayman (1987) …”

Section: Tool Management Researchmentioning

confidence: 99%

Cutting-tool management in computer-integrated manufacturing

Veeramani

Upton

Barash

1992

Int J Flex Manuf Syst

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Abstract. The problem of cutting tool management has been brought to the forefront with the emergence of computerintegrated manufacturing (CIM) and, in particular, flexible manufacturing systems (FMSs). The financial and operational ramifications of effective tool management has spurred considerable research in this area during the past decade and many researchers are proposing sound solutions to various facets of this broad-ranging and difficult problem. This paper identifies critical areas of research for the development of tool management systems in CIM. To develop a framework for this, the paper examines and categorizes work in academia and in industry on the management of cutting-tools in CIM and describes some key implementations, particularly in the metalcutting industry. The solution of manufacturing problems generally demands an eclectic approach, and for this reason, we have tried to taxonomize, describe, and critique the various research thrusts in an attempt to provide a synthesis of use in more unified approaches.

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Section: Tool Management Researchmentioning

confidence: 99%

Cutting-tool management in computer-integrated manufacturing

Veeramani

Upton

Barash

1992

Int J Flex Manuf Syst

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“…There are two types of insert condition inspections in turning processes: one is indirect inspection, where the external sensors feedback the analytical machine data [ 9 , 10 ], and the other is direct inspection, where the cutting tool status is measured [ 11 , 12 ]. Indirect inspection analyzes data to estimate the cutting tool status; some machine states are analyzed according to a reference, which means that the cutting status is systematically evaluated, thus replacing the judgment of experienced operators to reduce human errors and enhancing the ability of production automation [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Using the Machine Vision Method to Develop an On-machine Insert Condition Monitoring System for Computer Numerical Control Turning Machine Tools

Sun

Yeh

2018

Materials

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This study uses the machine vision method to develop an on-machine turning tool insert condition monitoring system for tool condition monitoring in the cutting processes of computer numerical control (CNC) machines. The system can identify four external turning tool insert conditions, namely fracture, built-up edge (BUE), chipping, and flank wear. This study also designs a visual inspection system for the tip of an insert using the surrounding light source and fill-light, which can be mounted on the turning machine tool, to overcome the environmental effect on the captured insert image for subsequent image processing. During image capture, the intensity of the light source changes to ensure that the test insert has appropriate surface and tip features. This study implements outer profile construction, insert status region capture, insert wear region judgment, and calculation to monitor and classify insert conditions. The insert image is then trimmed according to the vertical flank, horizontal blade, and vertical blade lines. The image of the insert-wear region is captured to monitor flank or chipping wear using grayscale value histogram. The amount of wear is calculated using the wear region image as the evaluation index to judge normal wear or over-wear conditions. On-machine insert condition monitoring is tested to confirm that the proposed system can judge insert fracture, BUE, chipping, and wear. The results demonstrate that the standard deviation of the chipping and amount of wear accounts for 0.67% and 0.62%, of the average value, respectively, thus confirming the stability of system operation.

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“…Also, the deposition of the thin resistive film on the surface of the material requires specialized tools which increases the cost of implementation. In another study related to tool wear, an automatic tool-wear sensor is proposed for a lathe machine application [10]. In this study, wear is measured through the use of a camera and the post processing of the captured images are used to characterize wear with an accuracy of 0.010 mm.…”

Section: Introductionmentioning

confidence: 99%

A magnetic sensor to measure wear in centrifugal pumps

et al. 2015

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On average, centrifugal pumps consume between 25% and 60% of the total consumed electrical energy inside process plants. Erosion inside open-impeller centrifugal pumps leads to a reduction in pump efficiency and occasional plant downtime. This work demonstrates a new concept for an online instrument capable of monitoring wear with the objective of improving the maintenance scheduling of centrifugal pumps and the prevention of unexpected failure through a predictive maintenance system. A magnetic wear sensor is designed and fabricated that allows for wear measurement while the pump is in operation. This sensor can be

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Development of Wear Sensor for Tool Management System

Cited by 11 publications

References 0 publications

Cutting-tool management in computer-integrated manufacturing

Cutting-tool management in computer-integrated manufacturing

Using the Machine Vision Method to Develop an On-machine Insert Condition Monitoring System for Computer Numerical Control Turning Machine Tools

A magnetic sensor to measure wear in centrifugal pumps

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