KR101648393B1 - Automatically inner defect detection apparatus of Carbide End-mill using natural frequency - Google Patents

Automatically inner defect detection apparatus of Carbide End-mill using natural frequency Download PDF

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KR101648393B1
KR101648393B1 KR1020150084776A KR20150084776A KR101648393B1 KR 101648393 B1 KR101648393 B1 KR 101648393B1 KR 1020150084776 A KR1020150084776 A KR 1020150084776A KR 20150084776 A KR20150084776 A KR 20150084776A KR 101648393 B1 KR101648393 B1 KR 101648393B1
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natural frequency
cutting tool
internal defect
defect
graph
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KR1020150084776A
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Korean (ko)
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이인수
남상식
김병주
김덕현
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한국항공우주산업 주식회사
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/04—Analysing solids
    • G01N29/045—Analysing solids by imparting shocks to the workpiece and detecting the vibrations or the acoustic waves caused by the shocks
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
    • B23Q17/00—Arrangements for observing, indicating or measuring on machine tools
    • B23Q17/09—Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool
    • B23Q17/0904—Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool before or after machining
    • B23Q17/0909—Detection of broken tools
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
    • B23Q17/00—Arrangements for observing, indicating or measuring on machine tools
    • B23Q17/12—Arrangements for observing, indicating or measuring on machine tools for indicating or measuring vibration
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
    • G05B19/406—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by monitoring or safety
    • G05B19/4065—Monitoring tool breakage, life or condition
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00—Indexing codes associated with group G01N29/00
    • G01N2291/02—Indexing codes associated with the analysed material
    • G01N2291/023—Solids
    • G01N2291/0234—Metals, e.g. steel
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00—Indexing codes associated with group G01N29/00
    • G01N2291/26—Scanned objects
    • G01N2291/269—Various geometry objects

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Abstract

The present invention relates to an automatically inner defect detection apparatus of a carbide end-mill using a natural frequency and, more specifically, relates to an automatically inner defect detection apparatus of a carbide end-mill using a natural frequency, which comprises: a natural frequency measurement unit (100) measuring a natural frequency of a carbide end-mill for inner defect detection to be transmitted; and a central management unit (200) comparing a natural frequency reference graph in accordance with a natural frequency of a carbide end-mill for reference measured in the natural frequency measurement unit (100) and a natural frequency measurement graph in accordance with a natural frequency of a carbide end-mill for determination to determine an inner defect of the carbide end-mill for determination to transmit a result.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to an automatic defect detection apparatus,

The present invention relates to an apparatus for automatically detecting an internal defect in a cutting tool using a natural frequency, and more particularly, to an apparatus for detecting an internal defect in a cutting tool having a hole for spraying a cutting oil or a minimum quantity lubrication (MQL) A faulty cutting tool is discriminated easily by comparing and discriminating a waveform graph measuring a natural frequency of a normal reference cutting tool and a waveform graph measuring a natural frequency of a judging cutting tool to be measured, The present invention relates to an apparatus for automatically detecting an internal defect of a cutting tool using a natural frequency capable of discriminating a defect type through analysis.

BACKGROUND ART [0002] In the past, a device for detecting defects of a cutting tool has been widely used for discriminating an external defect of the cutting tool, that is, an external dimension defect of the cutting tool.

In order to determine an internal defect of a cutting tool (in particular, an MQL cutting tool having an internal hole), a fracture test is used in which the cutting tool for the sample is selected and the cutting edge of the cutting tool is cut to directly check the state of the inner hole .

Particularly, since the density of the cemented end mill is high, it is difficult to discriminate the inner cross section even through X-ray photographing. Therefore, it is practically impossible to discriminate a cutting tool having an internal defect by visual inspection and dimensional inspection.

Accordingly, when a cutting tool which has determined only an external defect is inserted into a cutting operation without discrimination of an internal defect, momentary breakage of the internal defect portion occurs due to vibration due to high-speed rotation and weighting of the cutting load, .

Korean Patent Publication No. 10-2005-0030925 (published on March 31, 2005).

SUMMARY OF THE INVENTION The present invention has been made in order to solve the problems of the conventional art as described above, and it is an object of the present invention to provide a cutting tool having a hole for spraying a cutting oil or a minimum quantity lubrication (MQL) (Abnormal) cutting tool is discriminated by discriminating between a waveform graph measuring a natural frequency of a normal reference cutting tool and a waveform graph measuring a natural frequency of a judgment cutting tool as a measurement target, The present invention also provides an apparatus for automatically detecting an internal defect of a cutting tool using a natural frequency capable of discriminating a defect type through graph analysis.

An apparatus for automatically detecting an internal defect of a cutting tool using a natural frequency according to an embodiment of the present invention includes a natural frequency measurement unit 100 for measuring and transmitting a natural frequency of a cutting tool for detecting an internal defect, A natural frequency reference graph according to the natural frequency of the reference cutting tool measured by the reference tool 100 and a natural frequency measurement graph according to the natural frequency of the judgment cutting tool are compared to determine the internal defect of the cutting tool for judgment, And a central management unit (200) for delivering the information.

In addition, the apparatus for automatically detecting an internal defect of a cutting tool using the natural frequency includes a graph of a natural frequency transmitted from the central management unit 200, a natural frequency measurement graph, and a monitoring unit (300) according to an embodiment of the present invention.

Specifically, the natural frequency measurement unit 100 includes a vibration sensor 110 attached to a cutting edge of a cutting tool to sense a natural frequency, and an automatic hitting means for accurately hitting the cutting edge of the cutting tool by a preset number of times 120), and senses a natural frequency generated by precisely striking a cutting edge portion of a reference cutting tool or a cutting tool for a predetermined number of times, and transmits the sensed natural frequency to the central management unit (200)

The central management unit 200 includes a storage unit 210 for storing a natural frequency reference graph and a natural frequency measurement graph received from the natural frequency measurement unit 100 as a database and storing the waveforms and a waveform analysis and a defect determination algorithm And a comparison determination unit 220 for comparing the natural frequency measurement graph based on the natural frequency reference graph received from the natural frequency measurement unit 100 and determining an internal defect, And controlling the cutting tool to be returned if there is an internal defect of the cutting tool to be judged in accordance with the internal defect determination result, .

In this case, the comparison determination unit 220 determines the type of the internal defect when there is an internal defect or internal defect of the cutting tool for judgment, and the type of the internal defect is the internal cutting oil discharge hole (MQL Hole Depth defects, angular defects and internal crack defects of the cutting tool.

In addition, the monitoring unit 300 displays the natural frequency reference graph of the reference cutting tool, the natural frequency measurement graph of the determining cutting tool, the internal defect presence information of the determining cutting tool, and the internal defect type information of the cutting tool for judgment, And selects a judgment cutting tool stored in the storage unit 210 of the central management unit 200 according to an external request to determine the internal defect presence / absence information of the selected judgment cutting tool and the internal defect information of the judgment cutting tool And the type information is outputted.

In this case, the natural frequency reference graph and the natural frequency measurement graph of the internal defect automatic detecting apparatus of the cutting tool using the natural frequency represent the frequency in the X-axis and the Y-axis in the graph of the amplitude, And the measurement graphs are compared with each other to determine the presence or absence of internal defects and the type of internal defects.

The apparatus for automatically detecting an internal defect of a cutting tool using the natural frequency of the present invention according to the present invention has a function of determining the presence or absence of an internal defect in a cutting tool having a hole for spraying a cutting oil or a minimum quantity lubrication (MQL) (A) cutting tool is discriminated easily by comparing and discriminating a waveform graph measuring a natural frequency of a normal cutting tool and a waveform graph measuring a natural frequency of a judging cutting tool to be measured, It is possible to distinguish the type of defect from the defect type.

Particularly, it is effective for defect detection of an MQL cemented end mill used for high-speed machining at high speed.

The apparatus for automatically detecting an internal defect of a cutting tool using the natural frequency of the present invention is capable of minimizing unnecessary loss due to breakage of a cutting tool and further defects in a workpiece, There are advantages.

FIG. 1 is a view schematically showing a configuration of an apparatus for automatically detecting an internal defect of a cutting tool using a natural frequency according to an embodiment of the present invention.
2 is a detailed block diagram of an apparatus for automatically detecting an internal defect of a cutting tool using a natural frequency according to an embodiment of the present invention.
3 is an exemplary view of an apparatus for automatically detecting an internal defect of a cutting tool using a natural frequency according to an embodiment of the present invention.
4 is a diagram illustrating an example of a natural frequency measurement unit 100 of an apparatus for automatically detecting an internal defect of a cutting tool using a natural frequency according to an embodiment of the present invention.
5 is an exemplary view of a monitoring unit 300 of the apparatus for automatically detecting an internal defect of a cutting tool using a natural frequency according to an embodiment of the present invention.
FIG. 6 is a graph showing a natural frequency measurement waveform in an automatic defect detection apparatus for a cutting tool using a natural frequency according to an embodiment of the present invention.
FIG. 7 is a view showing the types of defects that can be discriminated in the apparatus for automatically detecting an internal defect of a cutting tool using a natural frequency according to an embodiment of the present invention.
FIGS. 8 to 11 are further illustrations of the monitoring unit 300 of the apparatus for automatically detecting an internal defect of a cutting tool using a natural frequency according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an apparatus for automatically detecting an internal defect of a cutting tool using the A natural frequency of the present invention will be described in detail with reference to the accompanying drawings. The following drawings are provided by way of example so that those skilled in the art can fully understand the spirit of the present invention. Therefore, the present invention is not limited to the following drawings, but may be embodied in other forms. In addition, like reference numerals designate like elements throughout the specification.

In this case, unless otherwise defined, technical terms and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. In the following description and the accompanying drawings, A description of known functions and configurations that may unnecessarily obscure the description of the present invention will be omitted.

The apparatus for automatically detecting an internal defect of a cutting tool using the natural frequency of the present invention can automatically detect an internal defect by applying it to all cutting tools having a hole for spraying a cutting oil or MQL therein. This is effective for detecting defects in a cemented carbide end mill for MQL.

Accordingly, an apparatus for automatically detecting an internal defect of a cutting tool using the natural frequency of the present invention will now be described by taking as an example a carbide endmill for high speed machining (Carbides E / M). However, this is merely an embodiment of the present invention and can be applied to all cutting tools as described above to detect internal defects.

A cemented carbide end mill for high speed machining, which is a cutting tool for detecting an internal defect by applying an internal defect automatic detecting device for a cutting tool using the natural frequency of the present invention, has a diameter range of? 10 mm (min) to? 25 mm The cutting tool has a length range of 80 mm (min) to 170 mm (max). The MQL (Minimum Quantity Lubrication) hole is formed in the inside of the cutting tool, and the shape of cutting edge of the roughing tool and the finishing tool is different.

However, as described above, only defects in the outer shape of the cutting tool have been determined in the past, and defects in the inside have been detected by a fracture test in which the cross section of the sample cutting tool is cut to directly check the state of the inner hole, -ray has been shot, but all have the disadvantage of not being able to determine the exact internal defect.

Accordingly, the apparatus for automatically detecting an internal defect of a cutting tool using the natural frequency of the present invention can detect a waveform (hereinafter referred to as a 'natural frequency reference graph') measuring a natural frequency of a normal reference cutting tool, A faulty (abnormal) cutting tool is easily discriminated by comparing and discriminating a waveform graph measuring a natural frequency of a tool (hereinafter referred to as a "natural frequency measurement graph"), and waveform analysis of a natural frequency reference graph and a natural frequency measurement graph The present invention relates to an apparatus for automatically detecting an internal defect of a cutting tool using a natural frequency capable of preventing equipment damage due to breakage of a cutting tool and improving quality stability.

1 and 2 are views showing a configuration of an apparatus for automatically detecting an internal defect of a cutting tool using a natural frequency according to an embodiment of the present invention. FIG. 3 is a sectional view of a cutting tool using a natural frequency according to an embodiment of the present invention. Fig. 7 is an illustration of an automatic defect detection apparatus for internal defects.

1 to 3, an apparatus for automatically detecting an internal defect of a cutting tool using the natural frequency of the present invention will be described in detail.

3, A1. Is a means for providing a striking force on a cutting tool fixed as a SHOCK ASSY,

A2. Is a means for correcting the shaking by fixing the cutting tool as the CLAMP ASSY,

A3. Is a UNDER ASSY that can control the height by considering the workability of the worker,

A4. Is a UPPER COVER ASSY which is a means to prevent foreign substances from being mixed,

P1. PC PART is means for processing the data of the natural frequency sensed from the cutting tool,

P2. Is a CONTROL PART that is a means for generating signals for control of A1. And A2.

1, an apparatus for automatically detecting an internal defect of a cutting tool using a natural frequency according to an embodiment of the present invention includes a natural frequency measurement unit 100, a central management unit 200, and a monitoring unit 300 .

The use of the natural frequency in the apparatus for automatically detecting an internal defect of a cutting tool using the natural frequency of the present invention causes a unique reproducible vibration frequency when an impact of the same condition is applied to the same cutting tool. However, in the case of a cutting tool having an internal defect, when vibration of the same condition is applied, a vibration frequency having a different waveform is generated. Therefore, it is possible to discriminate the presence or absence of an internal defect of the cutting tool by comparison and determination, By analyzing the waveform graph, it is possible to judge the internal defect according to the point of occurrence of the specific waveform.

To learn more about each configuration,

The natural frequency measurement unit 100 can measure natural frequencies of the reference cutting tool and the judgment cutting tool. In this case, the reference cutting tool means a normal cutting tool without defect of MQL hole and no defects of material, and the cutting tool for judgment is a cutting tool which must determine whether there is an internal defect.

The natural frequency measurement unit 100 may measure the natural frequency of the cutting tool for detecting an internal defect and transmit the measured natural frequency to the central management unit 200.

As described above, the natural frequency measurement unit 100 refers to a reference cutting tool for comparison determination, as well as a cutting tool for determining whether an internal defect is determined as an internal defect, for internal defect detection.

The natural frequency measurement unit 100 may include a vibration sensor 110 and an automatic hitting unit 120 as shown in FIGS.

4 is a clamping device, which is means for engaging and fixing a cutting tool to a chuck,

2. The Auto stage is a means to set the point to impact the cutting tool by rotating the Rolet,

3. The guide frame is a means to set the point to be impacted on the cutting tool by adjusting left and right, up and down,

4. Cyclinder is a means to adjust the speed to adjust the strength of the impact applied to the cutting tool.

5. Base frame, means to fix base and bracket,

6. Shock base, means to fix the Stage,

7. The VIB sensor is an acceleration sensor attached to a cutting tool to measure the natural frequency,

8. Impact device is an impact hammer with built-in sensor. It is a means to generate vibration by automatically hitting a cutting tool.

The vibration sensor 110 may be attached to a cutting edge of a reference cutting tool or a judgment cutting tool to measure a natural frequency and sense a natural frequency.

At this time, in order to easily measure the natural frequency, it is easy to attach the vibration sensor 110 to the cutting edge of the reference cutting tool or the judgment cutting tool.

The automatic striking means 120 can precisely strike the cutting edge portion of the reference cutting tool or the judgment cutting tool to measure the natural frequency by a preset number of times. In order to make a clear measurement, at least five times or more is preferable, and this can be easily changed at the request of the external manager. Also, hitting the cutting edge part is easy to generate vibration, which is merely an embodiment of the present invention.

The natural frequency measurement unit 100 precisely hits the cutting edge of the reference cutting tool or the judgment cutting tool with the vibration sensor 110 by a predetermined number of times using the automatic hitting means 120, The vibration sensor 110 senses the frequency of the vibration and transmits the sensed vibration to the central management unit 200.

The central management unit 200 compares and analyzes the frequency characteristic of the reference cutting tool (normal cutting tool) and the natural frequency of the cutting tool to determine whether there is an internal defect in the cutting tool for judgment And the type of the internal defect.

In other words, the central management unit 200 uses the natural frequency of the reference cutting tool and the natural frequency of the cutting tool for determination, which are measured by the natural frequency measuring unit 100, as a natural frequency reference graph and a natural frequency measurement graph And may compare the natural frequency measurement graph based on the natural frequency reference graph to determine the internal defect, and may transmit the result to the monitoring unit 300.

The central management unit 200 may include a storage unit 210 and a comparison determination unit 220, as shown in FIG.

The storage unit 210 may store the natural frequency reference graph and the natural frequency measurement graph received from the natural frequency measurement unit 100 as a database and store them. When a request from an external (administrator) And transmits the frequency reference graph or the natural frequency measurement graph to the monitoring unit 300.

The comparison determination unit 220 compares and analyzes the natural frequency measurement graph based on the natural frequency reference graph received from the natural frequency measurement unit 100 using the waveform analysis and the defect determination algorithm stored in advance, It can be judged.

6, the graph of the natural frequency and the graph of the natural frequency measurement are generated using the waveform analysis and the defect determination algorithm of the comparison and determination unit 220 to determine whether the internal cutting tool is defective, To the monitoring unit 300.

The natural frequency reference graph and the natural frequency measurement graph are graphs in which the X axis represents the frequency and the Y axis represents the amplitude.

The comparison determination unit 220 can determine the presence or absence of internal defects and the type of internal defects according to the specific waveforms shown in the natural frequency measurement graph based on the natural frequency reference graph using the waveform analysis and the defect determination algorithm.

Specifically, when the X-axis frequency bands of the natural frequency reference graph and the natural frequency measurement graph are f 1 to f n , the specific waveforms shown in the natural frequency measurement graph are plotted on the basis of the natural frequency reference graph, Can be analyzed.

First Embodiment

Figure 112015057796712-pat00001

(At this time, the measurement frequency of the X axis is f 1 to f n ,

If the waveform of the natural frequency reference graph is x s ,

When the waveform of the natural frequency measurement graph is represented by x a ,

x sfk is the value of x s when f = f k ,

x afk is the value of x a when f = f k ,

Let H n be the preset error reference value.)

The specific waveforms shown in the natural frequency measurement graph can be analyzed based on the natural frequency reference graph using Equation (1) above.

If the absolute value of the difference between the frequency waveform of the natural frequency measurement graph and the frequency waveform of the natural frequency reference graph exceeds the predetermined error reference value, it is determined that there is an internal defect. If the absolute value is less than the predetermined error reference value, It can be judged as a normal tool without a tool.

Here, the preset error reference value is preferably determined experimentally.

Second Embodiment

Figure 112015057796712-pat00002

(At this time, the measurement frequency of the X axis is f 1 to f n ,

If the waveform of the natural frequency reference graph is x s ,

When the waveform of the natural frequency measurement graph is represented by x a ,

x sfk is the value of x s when f = f k ,

x afk is the value of x a when f = f k ,

Let H n be the preset error reference value.)

The specific waveforms shown in the natural frequency measurement graph can be analyzed based on the natural frequency reference graph using Equation (2).

If it is determined that there is an internal defect when the square value of the difference between the frequency waveform of the natural frequency measurement graph and the frequency waveform of the natural frequency reference graph exceeds a predetermined error reference value, It can be judged as a normal tool without a tool.

Here, the preset error reference value is preferably determined experimentally as described in the first embodiment.

Third Embodiment

The upper limit value x H and the lower limit value x L are set for all frequency bands (all f k (k = 1, 2, ... n) of the natural frequency reference graph) Is out of the upper limit value or the lower limit value,

Figure 112015057796712-pat00003
) It can be judged that there is an internal defect.

(Where x Lfk is the x L value at f = f k ,

x sfk is the value of x s when f = f k ,

x Hfk is x H value when f = f k )

At this time, the comparison determination unit 220 of the central management unit 200 can determine the presence or absence of internal defects and the types of internal defects of the judgment cutting tool,

The types of internal defects of the cutting tool which can be judged are, as shown in Fig. 7, size defects, depth defects, angular defects and internal crack defects of the cutting tool for the internal cutting discharge hole (MQL Hole) of the cutting tool Can be determined.

The comparison determination unit 220 of the central management unit 200 determines whether there is a specific waveform shown in the natural frequency measurement graph according to the first to third exemplary embodiments to determine whether there is an internal defect, Based on the log data, the type of the specific waveform shown in the natural frequency measurement graph can be determined to determine the type of the internal defect.

According to the experimental results, when there is a size defect in the discharge hole for internal cutting, it can be seen that the amplitude is somewhat lower in the frequency band similar to the frequency band of the reference cutting tool,

It can be seen that when the depth defect is present in the discharge hole for internal cutting, the amplitude is very low as compared with the waveform graph of the reference cutting tool and is remarkably different in frequency band,

When an angular defect exists in the discharge hole for internal cutting, the frequency band of the reference cutting tool and the different frequency band are shown, and the difference in amplitude can be confirmed clearly.

5, 8 to 11 are illustrations of the output of the monitoring unit 300 of the apparatus for automatically detecting an internal defect of a cutting tool using the natural frequency of the present invention.

The monitoring unit 300 can output a graph of a natural frequency reference of a reference cutting tool transmitted from the central management unit 200, a natural frequency measurement graph of a determining cutting tool, and internal defect determination information of a cutting tool for judgment have.

More specifically, numerical information can be output in real time along with a graph of a natural frequency reference of a reference cutting tool,

It is possible to output numerical information together with a natural frequency measurement graph of a cutting tool for judgment in real time,

It is possible to output, in real time, the type of internal defect and internal defect, which is internal defect determination information for the judging tool.

In addition, the monitoring unit 300 may select a judgment cutting tool stored in the storage unit 210 of the central management unit 200 according to an external request, Internal defect presence information and internal defect type information can be output on the basis of the information.

That is, in other words, the apparatus for automatically detecting an internal defect of a cutting tool using a natural frequency according to an embodiment of the present invention uses the reproducibility of the natural frequency appearing when the cutting tool is hit in the same environment / condition, A natural frequency waveform graph (a natural frequency reference graph) of a reference cutting tool, which is a normal cutting tool, and a natural frequency waveform graph (natural frequency measurement graph) of a cutting tool for a judgment requiring a defect judgment are compared and analyzed, , It is possible to identify an internal defect, and furthermore, by analyzing a specific waveform point, it is possible to determine the type of internal defect.

Thus, it is possible to prevent the breakage of the equipment due to cutting tool breakage and to improve the quality stability.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, And various modifications and changes may be made thereto by those skilled in the art to which the present invention pertains.

Accordingly, the spirit of the present invention should not be construed as being limited to the embodiments described, and all of the equivalents or equivalents of the claims, as well as the following claims, belong to the scope of the present invention .

100: Natural frequency measurement unit
110: vibration sensor 120: automatic hitting means
200:
210: Storage unit 220:
300: Monitoring section

Claims (7)

A natural frequency measurement unit 100 for measuring and transmitting a natural frequency of a cutting tool for detecting an internal defect; And
A storage unit 210 for storing the natural frequency reference graph according to the natural frequency of the reference cutting tool measured by the natural frequency measuring unit 100 and the natural frequency measurement graph according to the natural frequency of the cutting tool for judgment, And a comparison determination unit 220 for comparing and analyzing the natural frequency measurement graph based on the natural frequency reference graph using the pre-stored waveform analysis and the defect determination algorithm to determine an internal defect of the judgment cutting tool, A central management unit 200 for transmitting an internal defect determination result;
/ RTI >
According to the internal defect determination result of the comparison determination unit 220,
When there is an internal defect of the judging cutting tool, the judging cutting tool is controlled to be returned,
Wherein when the internal defect of the cutting tool is not present, the cutting tool is controlled so as to be produced and inserted.
The method according to claim 1,
The apparatus for automatically detecting an internal defect of a cutting tool using the natural frequency
A monitoring unit 300 for outputting the natural frequency reference graph, the natural frequency measurement graph, and the internal defect determination information on the cutting tool for judgment received from the central management unit 200;
Further comprising: an internal defect detection unit for detecting an internal defect of the cutting tool based on the natural frequency.
The method according to claim 1,
The natural frequency measurement unit 100 includes:
A vibration sensor (110) attached to a cutting edge of the cutting tool to sense a natural frequency; And
An automatic hitting means (120) for precisely striking a cutting edge portion of a cutting tool by a preset number of times;
Lt; / RTI >
Wherein a natural frequency generated by precisely striking a cutting edge portion of a reference cutting tool or a cutting tool for judgment is sensed and transmitted to the central management unit 200. The internal defect of the cutting tool using the natural frequency Automatic detection device.
delete The method according to claim 1,
The comparison determination unit 220 determines
If there is an internal defect or internal defect of the cutting tool for judgment, the type of the internal defect is determined,
The types of internal defects include
Wherein the internal defect is a size defect, a depth defect, an angle defect, and an internal crack defect of the cutting tool with respect to the inner cutting oil discharge hole (MQL hole) of the cutting tool.
3. The method of claim 2,
The monitoring unit 300
The natural frequency reference graph of the reference cutting tool, the natural frequency measurement graph of the cutting tool for judgment, the internal defect presence information of the judgment cutting tool, and the internal defect type information of the cutting tool for judgment,
In response to an external request, the judging cutting tool stored in the storage unit 210 of the central management unit 200 is selected and the internal defect presence information of the selected judging tool and the internal defect type information of the judging tool are output Wherein the internal defect detection unit detects the internal defect of the cutting tool.
The method according to claim 6,
The natural frequency reference graph and the natural frequency measurement graph of the automatic internal defect detection apparatus of the cutting tool using the natural frequency
The X axis represents the frequency, the Y axis represents the amplitude,
Wherein the internal defect presence and internal defect types are determined by comparing the natural frequency reference graph and the natural frequency measurement graph.
KR1020150084776A 2015-06-16 2015-06-16 Automatically inner defect detection apparatus of Carbide End-mill using natural frequency KR101648393B1 (en)

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