KR102584554B1 - Laser trajectory transfer device for mct - Google Patents

Abstract

The laser trajectory transfer device for MCT according to an embodiment of the present invention is a rotary table that surrounds the spindle of a machine tool and has a ring-shaped rotating part capable of rotating 360°, is coupled to one side of the rotary table, and provides a driving force to the rotary table. The stepping motor that supplies It may include a laser unit that irradiates a laser to the area to be processed.

Description

Laser trajectory transfer device for MCT {LASER TRAJECTORY TRANSFER DEVICE FOR MCT}

The present invention relates to a laser trajectory transfer device for MCT, and more specifically, to a laser trajectory transfer device for MCT that can freely transfer a laser device according to the shape of a workpiece.

Difficult-to-machine materials such as tungsten and ceramics pose many difficulties in machining due to their high hardness and brittleness. Accordingly, Laser Assisted Machining (LAM) technology, which performs heat treatment using a laser before processing, has been disclosed. Laser-assisted processing can have effects such as preventing tool wear, preventing contamination of workpieces, preventing vibration and noise, and improving machinability.

However, depending on the shape of the workpiece, problems arose in which the laser device could not be transported freely, such as interference with the processing tool.

Therefore, research on a laser trajectory transfer device for MCT that can freely transfer the laser device according to the shape of the workpiece is required.

Korean Patent No. 10-0928130

The purpose of the present invention is to provide a laser trajectory transfer device for MCT that can improve the machinability of a workpiece by heat treating the machined surface with a laser before processing.

In addition, another object of the present invention is to provide a laser trajectory transfer device for MCT that can freely transfer the laser device according to the shape of the workpiece.

In addition, another object of the present invention is to provide a laser trajectory transfer device for MCT capable of fine movement in the R-axis and Z'-axis separately from the 3-axis movement of the MCT by using a rotary table and stage.

In addition, another object of the present invention is to provide a laser trajectory transfer device for MCT that can more accurately obtain temperature sensing values of the area to be processed by providing a noise removal unit.

The laser trajectory transfer device for MCT according to an embodiment of the present invention is a rotary table that surrounds the spindle of a machine tool and has a ring-shaped rotating part capable of rotating 360°, is coupled to one side of the rotary table, and provides a driving force to the rotary table. The stepping motor that supplies It may include a laser unit that irradiates a laser to the area to be processed.

In addition, the hinge portion according to an embodiment of the present invention mediates the first square pillar provided in the shape of a square pillar, the second square pillar provided in the shape of a square pillar, the first square pillar, and the second square pillar, and the first square pillar It may include a tilting hinge provided to adjust the angle formed by the square pillar and the second square pillar.

In addition, in the laser trajectory transfer device for MCT according to an embodiment of the present invention, one end of the first square pillar is coupled to the lower part of the rotating part, the laser part is coupled to one side of the second square pillar, and the length of the first square pillar is It may be provided longer than the length of the second square pillar.

In addition, the laser trajectory transfer device for MCT according to an embodiment of the present invention includes a temperature sensing unit that senses the temperature of the area to be processed, a noise removal unit that removes and corrects noise in the temperature sensing value measured by the temperature sensing unit, and It further includes an output temperature calculation unit that calculates the laser output temperature using the temperature value corrected by the noise removal unit, and the noise removal unit calculates a normal range and effective data range for the temperature sensing value, and the normal range is for a preset period. Calculate the limit value (Lud) according to the following [Equation 1] using the upper limit, lower limit, and average value of the values measured from the temperature sensor,

[Equation 1]

(Here, Uv means the upper limit, Av means the average value, and Lv means the lower limit)

The difference between the average value minus the limit value or the average value plus the limit value is calculated as the normal range, and data outside the calculated normal range is judged as noise data, but the upper and lower limit values are from the lower limit value to the upper limit value. It is derived within the prediction range defined by the range, and the lower boundary value is the average value of the preset initial value minus N times the average deviation, and the upper boundary value is the average value of the preset initial value minus N times the average deviation. It may be an additional value.

In addition, the laser trajectory transfer device for MCT according to another embodiment of the present invention is coupled to a rotary table that surrounds the spindle of a machine tool and is provided with a ring-shaped rotating part capable of rotating 360°, and is coupled to one side of the rotary table, A stepping motor that supplies driving force to the rotary table, an extension part that is coupled to the bottom of the rotating part and is provided in a semi-cylindrical shape, a hinge part that is coupled to the bottom of the extension part and one end of which is tiltable, and moves the laser unit forward and backward in the Z'-axis direction. It is coupled to a stage that guides the stage and a point of the stage, and includes a laser unit that irradiates a laser to the area to be processed of the workpiece. One surface of the second square pillar is coupled to the lower surface of the extension part, and the laser unit is attached to one surface of the first square pillar. It can be provided.

The laser trajectory transfer device for MCT according to an embodiment of the present invention has the effect of improving the machinability of the workpiece by heat treating the machined surface with a laser before processing.

In addition, the laser trajectory transfer device for MCT according to an embodiment of the present invention has the effect of freely transferring the laser device according to the shape of the workpiece.

In addition, the laser trajectory transfer device for MCT according to an embodiment of the present invention uses a rotary table and a stage, thereby enabling fine movement in the R and Z' axes separately from the 3-axis movement of the MCT.

In addition, the laser trajectory transfer device for MCT according to an embodiment of the present invention has the effect of obtaining a more accurate temperature sensing value of the area to be processed by providing a noise removal unit.

Figure 1 is a diagram showing a laser trajectory transfer device for MCT according to a first embodiment of the present invention.
Figures 2 and 3 are diagrams showing a laser trajectory transfer device for MCT according to a second embodiment of the present invention.
Figure 4 is a diagram showing a hinge portion according to an embodiment of the present invention.
Figure 5 is a diagram showing a stage according to an embodiment of the present invention.
Figure 6 is a graph showing temperature sensing value data measured through a temperature sensing unit according to an embodiment of the present invention.
Figure 7 is a graph showing data including noise values generated at regular intervals among data measured through a temperature sensing unit according to an embodiment of the present invention.
Figure 8 is a graph showing data including continuously generated noise values among data measured through a temperature sensing unit according to an embodiment of the present invention.

Hereinafter, specific embodiments of the present invention will be described in detail with reference to the drawings. However, the idea of the present invention is not limited to the presented embodiments, and those skilled in the art who understand the idea of the present invention can add, change, or delete other components within the scope of the same idea, thereby creating other degenerative inventions or the present invention. Other embodiments that are included within the scope of the invention can be easily proposed, but this will also be said to be included within the scope of the invention of the present application.

Hereinafter, the laser trajectory transfer device 100 for MCT according to the present invention will be described in detail with reference to the attached FIGS. 1 to 5.

Figure 1 is a diagram showing a laser trajectory transfer device 100 for MCT according to a first embodiment of the present invention.

Referring to Figure 1, the laser trajectory transfer device 100 for MCT according to the first embodiment of the present invention includes a rotary table 110, a stepping motor (not shown), a hinge unit 130, a stage 140, and a laser. It may include unit 150.

The rotary table 110 is coupled to surround the spindle of the machine tool, and may be provided with a ring-shaped rotating part 111 that can rotate 360°. The rotating part 111 can rotate 360° along the circumference of the spindle.

A stepping motor (not shown) is coupled to one side of the rotary table 110 and can supply driving force to the rotary table 110.

The hinge portion 130 is coupled to the lower end of the rotating portion 111 and may be provided so that one end can be tilted. The hinge portion 130 will be examined in more detail with reference to FIG. 4 .

Figure 4 is a diagram showing the hinge portion 130 according to an embodiment of the present invention.

Referring to FIG. 4, the hinge portion 130 may include a first square pillar 131, a second square pillar 132, and a tilting hinge 133.

The first square pillar 131 may be provided in the shape of a square pillar.

The second square pillar 132 may be provided in the shape of a square pillar.

The tilting hinge 133 mediates the first square pillar 131 and the second square pillar 132, and is provided to adjust the angle formed by the first square pillar 131 and the second square pillar 132. It can be.

By providing the hinge unit 130, the laser unit 150 can have the effect of allowing fine position adjustment by tilting the angle formed by the first square pillar 131 and the second square pillar 132.

Referring again to FIG. 1, one end of the stage 140 is coupled to the hinge portion 130, and can guide forward and backward movement in the Z'-axis direction. The stage 140 will be examined in more detail with reference to FIG. 5.

Figure 5 is a diagram showing a stage 140 according to an embodiment of the present invention.

Referring again to FIG. 1, the laser unit 150 is coupled to one point of the stage 140 and can irradiate the laser to the area to be processed on the workpiece.

In addition, the laser trajectory transfer device 100 for MCT according to an embodiment of the present invention may further include a temperature sensing unit 160, a noise removal unit 170, and an output temperature calculation unit 180.

The temperature sensing unit 160 can sense the temperature of the area to be processed. The temperature sensing unit 160 may be provided as a non-contact temperature sensor.

The noise removal unit 170 can correct the temperature sensing value measured by the temperature sensing unit 160 by removing noise. More specifically, only valid values can be extracted from the temperature sensing values measured from the temperature sensing unit 160, excluding values corresponding to noise. In order to remove noise, the normal range and effective data range for the temperature sensing value are calculated, and the normal range is calculated using the upper limit, lower limit, and average value of the value measured from the temperature sensing unit 160 during a preset period. The limit value (Lud) is calculated according to [Equation 1],

[Equation 1]

(Here, Uv means the upper limit, Av means the average value, and Lv means the lower limit)

A difference value obtained by subtracting the limit value from the average value or a value obtained by adding the limit value to the average value is calculated as a normal range, and data outside the calculated normal range can be determined as noise data.

For example, when the upper limit value (Uv) is 38.5 ℃, the average value (Av) is 36.6 ℃, and the lower limit value (Lv) is 36.1 ℃, the difference between the upper limit value and the average value is 38.5 ℃ - 36.6 ℃ = 1.9 ℃, average value Since the difference between and lower limit is 36.6℃-36.1℃=0.5℃, the larger element, 1.9℃, can be calculated as the limit value (Lud).

When the limit value is calculated as described above, the normal range can be determined. The normal range can be determined from the value obtained by subtracting the limit value from the average value to the value obtained by adding the limit value to the average value.

Therefore, in principle, data that is not included within the calculated normal range is judged as noise data.

However, the following criteria can be additionally applied to further subdivide the noise data. For example, noise data is when the temperature sensing value measured from the temperature sensing unit 160 is outside the normal range, data outside the normal range does not occur continuously more than a preset number of times, and data immediately preceding the normal range is outside the normal range. It is judged to be a value that is not included within the previous value and the preset error range (at this time, the error range can be set between -5% to +5% or -20% to +20% depending on the type and sensitivity of the sensor). By finally determining the measured value as noise data, more accuracy can be increased in noise data selection.

Additionally, the preset number of times can be set to 2 to 5 times, and it can be determined whether data outside the normal range is continuous or discontinuous depending on whether the number satisfies the range.

Here, the process of calculating the normal range and classifying noise data using the total temperature sensing value of the noise removal unit 170 will be described in more detail with reference to FIG. 6.

Figure 6 is a diagram showing temperature sensing value data measured through the temperature sensing unit 160 according to an embodiment of the present invention as a graph.

Referring to FIG. 6, the noise removal unit 170 recognizes only values measured within the normal range 240 as valid values, and the normal range 240 receives initial values during a preset period, It can be calculated using the average value (230) and average deviation of the initial values.

At this time, since meaningless data may be included among the initial values, only initial values within the prediction range among all initial values input are used to derive the normal range 240, and the prediction range 250 is calculated as follows. can be calculated.

In order to calculate the prediction range 250, the average value 230 of all initial values during a preset interval plus N multiples of the average deviation is taken as the upper boundary value 210 of the prediction range 250 and the preset interval. The value obtained by subtracting N multiples of the average deviation from the average value 230 of all initial values during the period is determined as the lower boundary value 220 of the prediction range 250, and the value between the upper and lower limits can be calculated as the prediction range 250. there is.

At this time, the N value of the N multiple can be set from a minimum of 1.5 to a maximum of 20 depending on the sensor.

For example, when the average value (230) of the temperature sensing value sensed during the preset section through the temperature sensing unit 160 is 55°C, the average deviation is calculated as 2°C, and the N multiple is set to 9, the prediction range is The upper limit value (210) of (250) can be calculated as 55+2Х9=73℃, and the lower limit value (220) can be calculated as 55-2Х9=37℃.

Through the above process, the noise removal unit 170 calculates an upper limit value 210 and a lower limit value 220 using the average value 230, average deviation, and multiple, and the range between them is 37℃ ~ 73℃ can be set as the prediction range (250).

As described above, data selection to determine the normal range 240 can be more reliable by calculating the prediction range 250 using the average value 230, upper boundary value 210, and lower boundary value 220.

Below, the process for calculating the normal range 240 using the predicted range 250 will be described.

First, the largest measured value within the prediction range (250) is extracted as the upper limit (205), and the smallest measured value is extracted as the lower limit (206), and through [Equation 1], the average value (230), upper limit value (205) and The limit value can be calculated using the lower limit value 206.

When the limit value is calculated through [Equation 1], the measured value obtained by subtracting the limit value from the average value (230) or the measured value obtained by adding the limit value to the average value (230) is determined as the normal range (240), and the normal range Measured values outside of (240) can be judged as noise data.

At this time, if the upper limit value (205) and the lowest value (206) are derived within the previously determined prediction range of 37°C to 73°C and the limit value is calculated by applying this to [Equation 1], the limit value is max{( 64-55), (55-48)}=9℃.

That is, the first point data 201, the second point data 202, the third point data 203, and the fourth point data 204, which are data outside the prediction range 250, are excluded from calculating the upper and lower limits. By doing so, it is possible to prevent meaningless data from being used to calculate the normal range.

Through the above process, the normal range 240 is calculated from 55-9=46°C, which is the difference between the average value 230 and the limit value, to 55+9=64°C, which is the sum of the average value 230 and the limit value. The first point data 201, the second point data 202, the third point data 203, and the fourth point data 204, which are temperature sensing values that are not included in the range 240, can be determined as noise data. You can.

Meanwhile, the noise removal unit 170 can determine the possibility of unusual events such as sensor failure using the generation pattern of noise data, an example of which will be described in more detail below.

For example, if the noise data is within the preset error range compared to the previous value, and multiple sensing cycles of the same value are measured at preset time intervals, this is due to a defect in the temperature sensing unit 160. It can be judged that there is a high possibility that this will occur.

In other words, when a number of temperature sensing values and measurement intervals that are outside the normal range and are judged to be noise data are within the error range and are measured at regular intervals, the presence of heat or cooling substances in the sensor measurement area, problems with transmitting and receiving electrical signals of the sensor, etc. Since it is judged that there is a high possibility that measurement values outside the normal range are measured, it can be recognized as defective data from the sensor of the temperature sensing unit 160 and used as a basis for considering repair or replacement of the sensor of the temperature sensing unit 160. .

For example, if a normal range is set as shown in FIG. 6 and includes noise data outside the normal range, but meets the sensor defective data conditions, the noise data may be recognized as data generated due to a sensor defect. This can be done, and specific examples will be described in more detail with reference to FIG. 7 above.

Figure 7 is a graph showing data including noise values generated at regular intervals among data measured through the temperature sensing unit 160 according to an embodiment of the present invention.

Referring to FIG. 7, in the process of measuring data through the temperature sensing unit 160, noise data outside the normal range is generated multiple times, and compared to previous noise data, the error is within -10% to +10%. You can see that it occurs continuously within the range.

In this way, when noise data occurring within the error range repeats at a certain cycle, it can be predicted that a sensor defect has occurred based on the noise data.

Here, the fact that the noise data is repeated at a certain period may mean that the period in which the noise data appears is within an error range of -10% to +10%.

More specifically, the fifth point data 301, sixth point data 302, and seventh point data 303 that are outside the normal range are measured, and the fifth point data 301 is measured at 0.5 seconds. , and if the sixth point data 302 was measured at 0.75 seconds, the time interval between the fifth point 301 and the sixth point 302 is 0.25 seconds (t1). In addition, since the 7th point data 303 was measured at 1 second, the time interval between the 6th point data 302 and the 7th point data 303 was 0.25 seconds (t2), so the 5th point data 301 ) The time interval between the sixth point data 302 and the time interval between the sixth point data 302 and the seventh point data 303 is 0 seconds, and did not occur beyond 0.075 seconds, which is the 10% error range. .

Therefore, since a large number of noise data is outside the normal range and the generation cycle is determined to be within a certain range, it can be predicted that a defect has occurred in the sensor.

In this case, a guidance message, etc. can be sent to the manager to check whether the temperature sensing unit 160 is defective. More specifically, the data measured in the temperature sensing unit 160 by the noise removal unit 170 If it is predicted that the sensor is defective, an alarm can be provided to the manager to induce the manager to check whether the sensor provided in the temperature sensing unit 160 is defective.

On the other hand, if a large number of data measured by the temperature sensing unit 160 are outside the normal range for a certain period of time but are continuously measured within a similar value range, it can be determined that a malfunction has occurred due to the surrounding environment rather than a sensor defect. You can. This is explained in more detail with reference to FIG. 8.

FIG. 8 is a graph showing data including continuously occurring noise values among data measured through the temperature sensing unit 160 according to an embodiment of the present invention.

Referring to FIG. 8, a number of noise data exceeding the normal range were detected in the section between 0.52 and 0.75 seconds, but a number of noise data were within a certain error range (e.g., 10% from the noise data value that first appeared in the section). distributed within the range. In this case, it can be determined that it is not a defective sensor, but a malfunction due to the surrounding environment that controls the environment that the sensor measures. For example, if there is a foreign substance in the sensor of the temperature sensing unit 160, it may cause an error in the received data.

In this case, an alarm requesting an environmental inspection of the temperature sensing unit 160 may be sent to the manager to induce an environmental inspection of the temperature sensing unit 160.

The output temperature calculation unit 180 may calculate the laser output temperature using the temperature value corrected by the noise removal unit 170.

Hereinafter, with reference to FIGS. 2 and 3, a second embodiment of the laser trajectory transfer device 100 for MCT according to the present invention will be described.

Figures 2 and 3 are diagrams showing a laser trajectory transfer device 100 for MCT according to a second embodiment of the present invention.

Referring to Figures 2 and 3, the laser trajectory transfer device 100 for MCT according to the second embodiment of the present invention includes a rotary table 110, a stepping motor (not shown), an extension part 120, and a hinge part ( 130), a stage 140, and a laser unit 150.

The rotary table 110 is coupled to surround the spindle of the machine tool, and may be provided with a ring-shaped rotating part 111 that can rotate 360°. The rotating part 111 can rotate 360° along the circumference of the spindle.

A stepping motor (not shown) is coupled to one side of the rotary table 110 and can supply driving force to the rotary table 110.

The extension part 120 is coupled to the bottom of the rotating part 111 and may be provided in a semi-cylindrical shape. By providing the extension part 120, it can have the effect of stably supporting the laser unit 150.

The hinge portion 130 is coupled to the lower end of the rotating portion 111 and may be provided so that one end can be tilted. Hint above

Referring again to FIGS. 2 and 3 , one end of the stage 140 is coupled to the hinge portion 130 and can guide forward and backward movement in the Z'-axis direction.

The laser unit 150 is coupled to one point of the stage 140 and can irradiate the laser to the area to be processed on the workpiece.

As discussed above, according to one embodiment of the present invention, the machinability of a workpiece can be improved by heat treating it with a laser, and the laser device can be freely transported according to the shape of the workpiece.

In addition, by using a rotary table and stage, it is possible to make fine movements in the R and Z' axes separately from the 3-axis movement of the MCT, and by providing a noise removal unit, the temperature sensing value of the area to be processed can be obtained more accurately. has

As described above, although one embodiment of the present invention has been described with limited examples and drawings, one embodiment of the present invention is not limited to the above-described embodiment, which is based on common knowledge in the field to which the present invention pertains. Anyone who has the knowledge can make various modifications and variations from this description. Accordingly, an embodiment of the present invention should be understood only by the scope of the claims set forth below, and all equivalent or equivalent modifications thereof shall fall within the scope of the spirit of the present invention.

100: Laser trajectory transfer device for MCT
110: Rotary table
111: Rotating part
120: extension part
130: Hinge part
131: First square pillar
132: Second square pillar
133: Tilting hinge
140: Stage
150: Laser unit
160: Temperature sensing unit
170: Noise removal unit
180: Output temperature calculation unit

Claims (5)

A rotary table that surrounds the spindle of a machine tool and is equipped with a ring-shaped rotating part that can rotate 360°;
A stepping motor coupled to one side of the rotary table and supplying driving force to the rotary table;
A hinge part coupled to the lower end of the rotating part and provided at one end to be tiltable;
A stage whose one end is coupled to the hinge portion and guides forward and backward movement in the Z'axis direction;
a laser unit coupled to the first point of the stage and irradiating a laser beam to the area to be processed on the workpiece;
A temperature sensing unit that senses the temperature of the area to be processed;
A noise removal unit that removes and corrects noise in the temperature sensing value measured by the temperature sensing unit; and
an output temperature calculation unit that calculates the laser output temperature using the temperature value corrected by the noise removal unit;
Including,
The noise removal unit,
Calculate the normal range and effective data range for the temperature sensing value,
The normal range is,
Calculating a limit value (Lud) according to the following [Equation 1] using the upper limit, lower limit, and average value of the values measured from the temperature sensing unit during a preset period,
[Equation 1]

(Here, Uv means the upper limit, Av means the average value, and Lv means the lower limit)
The difference between the average value minus the limit value or the average value plus the limit value is calculated as a normal range, and data outside the calculated normal range is judged as noise data,
The upper limit and the lower limit are,
Derived within the prediction range defined as the range from the lower boundary value to the upper boundary value,
The lower limit value is the average value of the preset initial value minus N times the average deviation,
The upper limit value is a laser trajectory transfer device for MCT, characterized in that the average value of the preset initial value plus N times the average deviation. According to paragraph 1,
The hinge part is,
A first square pillar provided in the shape of a square pillar;
A second square pillar provided in the shape of a square pillar; and
A tilting hinge provided to mediate the first square pillar and the second square pillar and to be able to adjust the angle formed by the first square pillar and the second square pillar;
Laser trajectory transfer device for MCT including. According to paragraph 2,
One end of the first square pillar is coupled to the lower part of the rotating part, the laser part is coupled to one side of the second square pillar, and the length of the first square pillar is longer than the length of the second square pillar. Laser trajectory transfer device for MCT. delete delete