A new flexible high-resolution vision sensor for tool condition monitoring

Lanzetta, Michele

doi:10.1016/s0924-0136(01)00878-0

Cited by 71 publications

(18 citation statements)

References 30 publications

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“…Direct methods require periodical machining process interruption, when the worn tool is replaced by new one. Optical methods present optical equipment like the toolmaker's microscope, optical microscope, scanning electrical microscope (SEM), charged coupled devices (CCD cameras), white light interferometry, phase shifting method, etc... [8][9][10][11][12][13][14][15][16][17]. The main disadvantages of mentioned methods are the inability of measuring wear profiles in depth (spatial geometry of crater wear -KT, etc.)…”

Section: Cutting Tool-wearmentioning

confidence: 99%

In-Line Spatial Monitoring of Cutting Tool-Wear

ÄŒerÄe

Kramar

Kopač

2017

IJAQ

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Section: Cutting Tool-wearmentioning

confidence: 99%

In-Line Spatial Monitoring of Cutting Tool-Wear

ÄŒerÄe

Kramar

Kopač

2017

IJAQ

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“…TCM has been a popular and important research topic in manufacturing and has received tremendous attention over the past several decades. The majority of the TCM literature has been focused on machining processes [7][8][9][10][11][12][13][14][15][16][17][18][19][20] and forming processes [21][22][23][24]. Tool wear mechanism in cutting processes has been investigated in Refs.…”

Section: Introductionmentioning

confidence: 99%

“…Tool wear monitoring techniques have been developed in Refs. [10][11][12][13][14][15][16][17]. In general, tool wear monitoring techniques can be categorized into direct and indirect methods [18].…”

Section: Introductionmentioning

confidence: 99%

Tool Wear Monitoring for Ultrasonic Metal Welding of Lithium-Ion Batteries

Shao

Kim

et al. 2015

Journal of Manufacturing Science and Engineering

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This paper presents a tool wear monitoring framework for ultrasonic metal welding which has been used for lithium-ion battery manufacturing. Tool wear has a significant impact on joining quality. In addition, tool replacement, including horns and anvils, constitutes an important part of production costs. Therefore, a tool condition monitoring (TCM) system is highly desirable for ultrasonic metal welding. However, it is very challenging to develop a TCM system due to the complexity of tool surface geometry and a lack of thorough understanding on the wear mechanism. Here, we first characterize tool wear progression by comparing surface measurements obtained at different stages of tool wear, and then develop a monitoring algorithm using a quadratic classifier and features that are extracted from space and frequency domains of cross-sectional profiles on tool surfaces. The developed algorithm is validated using tool measurement data from a battery plant.

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“…It has become an important subject in adaptive machining process. The tool wear measurement technologies can be broadly divided into two types, direct measurement and indirect measurement [1]. Direct measurement technologies are optical measurements using a microscope or a tactile sensor to measure tool wear directly at the cutting edge of the worn tool, which can be employed when the tool is not in contact with the workpiece [2,3,4].…”

Section: Introductionmentioning

confidence: 99%

A New Method of Tool Wear Measurement

Liu

Zhang

Fang

et al. 2010

2010 International Conference on Electrical and Control Engineering

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In NC milling process, tool wear measurement is an integral part of establishing tool wear model. In this paper, a new method of measuring tool wear is presented. This method maps tool wear into a kind of material which has no or less influence on tool wear, such as aluminium alloy, to reflect the wear status of milling tools. The reflection is completed by milling hole on this material using the worn tool after each machining experiment and so that a series of reflection profile are formed. These reflection profiles are measured on the Coordinate Measuring Machine (CMM). Thus we can acquire tool wear along radius of tool's cross-section, which is called radial wear. Tool flank wear can be easily calculated based on the radial wear, rake angle and clearance angle. In order to verify this method of tool wear measurement, a series of machining experiments are designed and finished on 5-axis high speed machining center for cemented carbide cutting tool milling stainless steel. Experiments show that this method is effective and feasible, and can easily and efficiently conduct tool wear experiment.

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A new flexible high-resolution vision sensor for tool condition monitoring

Cited by 71 publications

References 30 publications

In-Line Spatial Monitoring of Cutting Tool-Wear

In-Line Spatial Monitoring of Cutting Tool-Wear

Tool Wear Monitoring for Ultrasonic Metal Welding of Lithium-Ion Batteries

A New Method of Tool Wear Measurement

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