New approach in tool wear measuring technique using CCD vision system

Jurkovič, Jože; Korošec, Marjan; Kopač, Janez

doi:10.1016/j.ijmachtools.2004.11.030

Cited by 162 publications

(53 citation statements)

References 3 publications

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“…An online tool wear monitoring technique was developed (Silva et al, 1998) with input signals as cutting force, spindle current, sound and vibration in turning and demonstrated efficiency of the suggested technique. Jurkovic et al (2005) presented direct tool wear measurement methodology using machine vision with 3D picture of tool relief surface. An analytical computation of flank wear was expressed and predicted wear at various cutting speeds was compared with experimental values (Bouzid, 2005).…”

Section: Introductionmentioning

confidence: 99%

Optimization of end milling parameters under minimum quantity lubrication using principal component analysis and grey relational analysis

Murthy¹,

Rajendran²

2012

J. Braz. Soc. Mech. Sci. & Eng.

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Section: Introductionmentioning

confidence: 99%

Optimization of end milling parameters under minimum quantity lubrication using principal component analysis and grey relational analysis

Murthy¹,

Rajendran²

2012

J. Braz. Soc. Mech. Sci. & Eng.

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“…These disturbances can be compensated in part, for instance by employing temperature compensation and a compensation of tool wear by respective measurements or predictions [4][5][6][7][8][9][10]. However, in order to guarantee deviations from the desired shape below 1 μm, shape measurements are still required.…”

Section: State-of-the-artmentioning

confidence: 99%

Optical, in situ, three-dimensional, absolute shape measurements in CNC metal working lathes

Kuschmierz

Davids

Metschke

et al. 2016

Int J Adv Manuf Technol

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Temperature drifts, tool deterioration, unknown vibrations, as well as spindle play are major effects which decrease the achievable precision of CNC lathes and lead to shape deviations of the processed workpieces. Since currently no measurement system exists for precise, in situ, 3D shape monitoring, much effort is required to simulate and compensate these effects. In this article, we propose an optical measurement principle for first part quality manufacturing. The absolute shape, meaning the diameter and surface profile, of the workpiece is determined from its tangential velocity and the surface distance. In order to allow keyhole access, both measurands are determined simultaneously with a single sensor. Measurements inside a metal working lathe show that the standard uncertainty for the absolute shape measurement is below 1 μm. The measurement uncertainty is nearly independent of the lateral surface velocity and roughness. The in situ measurements are compared to measurements with a tactile coordinate measurement machine for reference.

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“…Direct methods measure tool wear at the cutting edge of the worn tool [14] when the machine is in a resting position. Indirect methods are less effective than direct ones [23] because they are affected by noisy signals [9].…”

Section: Introductionmentioning

confidence: 99%

“…Many works evaluate isolated inserts [5,9,11,21] and skip the challenging step of first localising the inserts and their cutting edges on the milling head. In this paper we propose a method for the effective localisation of the inserts and their cutting edges in an edge profile milling machine.…”

Section: Introductionmentioning

confidence: 99%

Cutting Edge Localisation in an Edge Profile Milling Head

Fernández-Robles

Azzopardi

Alegre

et al. 2015

Lecture Notes in Computer Science

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Abstract. Wear evaluation of cutting tools is a key issue for prolonging their lifetime and ensuring high quality of products. In this paper, we present a method for the effective localisation of cutting edges of inserts in digital images of an edge profile milling head. We introduce a new image data set of 144 images of an edge milling head that contains 30 inserts. We use a circular Hough transform to detect the screws that fasten the inserts. In a cropped area around a detected screw, we use Canny's edge detection algorithm and Standard Hough Transform to localise line segments that characterise insert edges. We use this information and the geometry of the insert to identify which of these line segments is the cutting edge. The output of our algorithm is a set of quadrilateral regions around the identified cutting edges. These regions can then be used as input to other algorithms for the quality assessment of the cutting edges. Our results show that the proposed method is very effective for the localisation of the cutting edges of inserts in an edge profile milling machine.

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New approach in tool wear measuring technique using CCD vision system

Cited by 162 publications

References 3 publications

Optimization of end milling parameters under minimum quantity lubrication using principal component analysis and grey relational analysis

Optimization of end milling parameters under minimum quantity lubrication using principal component analysis and grey relational analysis

Optical, in situ, three-dimensional, absolute shape measurements in CNC metal working lathes

Cutting Edge Localisation in an Edge Profile Milling Head

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