JPH01257510A - Discriminating and predicting method for saw blade life - Google Patents

Abstract

PURPOSE:To discriminate and predict a saw blade life and to improve precision and the efficiency of a cutting work by a method wherein detected cutting resistance and saw blade wear amount data are compared with relation data between cutting resistance and a saw blade wear amount previously stored in a data base. CONSTITUTION:While a cutting work is applied on a material W to be cut by a saw blade 7 by means of a sawing machine 1, or after cutting, actual cutting resistance or a lancing amount, a wear amount of the saw blade 7, a cut position, a cutting area, a cutting time, or cutting efficiency is detected. Meanwhile, since the above relation data is filed in data bases 115, 117, and 119, relation data between actually detected cutting resistance, a lancing amount, a cut position, a cutting area, a cutting time, or cutting efficiency and a wear amount of the saw blade 7 is compared with relation data between a wear amount of the saw blade 7, a lancing amount, a cutting area, a cutting time, cutting efficiency, or a cut position and cutting resistance of the saw blade 7 by means of a CPU 21 to discriminate and predict a band saw life. This constitution enables improvement of precision and the efficiency of a cutting work.

Description

[Detailed Description of the Invention] [Object of the Invention] (Industrial Field of Application) This invention relates to a saw blade such as a band saw blade used when cutting a workpiece with a saw machine such as a horizontal band saw machine. Concerning a method for determining and predicting lifespan.

(Prior Art) Conventionally, when cutting a workpiece with a saw machine such as a horizontal band saw, a saw blade is selected and used according to the material and diameter of the workpiece.

The lifespan of the saw blade was determined by an operator who monitored the condition of the saw blade during the actual cutting process and relied on his experience and intuition to determine if the machinability deteriorated.

Alternatively, before and after using the saw blade, the operator judges the wear state of the tooth tip of the saw blade by comparing it with, for example, a new one.

Alternatively, as seen in JP-A-61-22645 and JP-A-56-163861, it is possible to detect the cutting temperature generated between the tool and the cutting material during cutting Y, There is a known method of detecting the vibration state of the tool and predicting the six lives of the tool based on these detected values.

(Problems to be Solved by the Invention) However, the conventional judgment of the saw blade life described above often relies on the experience and cost of the manufacturing department, and therefore does not provide an accurate and reliable judgment of the saw blade life.1. Therefore, cutting of female material) + []
There is a problem in that it is extremely difficult to predict or judge the lifespan of a saw blade that cannot be used for machining, but may be usable for cutting easy-to-cut materials.

Furthermore, it is not yet perfect to detect the cutting temperature and tool vibration state during cutting and predict the life of the tool based on these detected values. The problem was that it was very difficult.

The purpose of this invention is to improve the above-mentioned problems by storing and storing data related to the cutting resistance, amount of cutting, cutting area, cutting time or cutting rate and the life of the saw blade in a database. It is an object of the present invention to provide a prediction method for determining the lifespan of a saw blade, which makes it possible to accurately and reliably predict or determine the lifespan of a saw blade during cutting.

[Structure of the Invention] (Means for Solving the Problems) In order to achieve the above-mentioned object, the present invention provides a method for actually cutting a workpiece at an appropriate cutting position while cutting a workpiece with a saw blade on a saw machine. The cutting resistance of the saw blade is detected, and the detected actual cutting resistance is compared with the relationship data between the cutting resistance and the amount of wear of the saw blade stored in a database in advance to determine and predict the life of the saw blade. It is something.

Also, instead of cutting resistance, cutting bending and cutting area.

The amount of cutting bending is stored in the database in advance by detecting the cutting time or cutting rate.

By comparing data related to the cutting area, cutting time, or cutting rate and the amount of wear of the saw blade, the government ordinance of the saw blade is judged or predicted.

(Function) By adopting this invention, the actual cutting resistance, cutting radius, cutting area, cutting time, or cutting rate can be measured while cutting the workpiece with the saw blade or after cutting. To detect. The cutting resistance and cutting area are stored in advance in the database.

Since the relationship data between the cutting time or cutting rate and the amount of wear on the saw blade is stored, the actual detected cutting resistance, cutting bending, cutting area, cutting time or cutting rate, cutting resistance, cutting bending, cutting area.

By comparing data related to the cutting time or cutting rate and the wear direction of the saw blade, accurate and reliable judgment and prediction of the life of the saw blade can be made during the cutting process.

(Example) Hereinafter, an example of the present invention will be described in detail based on the drawings.

Referring to Figure 1,! ! A work table 3 on which a workpiece W such as a bar is placed is provided on a base (not shown) of a horizontal bandsaw machine 1 as an i-board, for example.

A vice device 5 for clamping and fixing a workpiece W is attached to the work table 3.

Further, a substantially C-shaped shingle saw blade housing (not shown) is supported on the base via a hinge pin 7 so as to be rotatable in the vertical direction.

More specifically, the tip of the piston rod 9 is connected to an appropriate position of the saw blade housing, and the work table 3 is provided with a lift cylinder 11. Further, a gear 13 is integrally provided on the hinge bin 7, and a rotary encoder 17 having a gear 15 that meshes with the gear 13 is provided at an appropriate position.

Therefore, the rotary encoder 17 detects the number of pulses corresponding to the rotation of the saw blade housing, and the number of pulses is detected by the rotary encoder 17 and sent to the central processing unit 2 of the control device 21 via the interface 19.
3 (hereinafter referred to as CPU), the vertical position and rotation angle of the saw blade are accurately detected.

Inside the saw blade housing, a drive wheel 25 and two driven wheels are rotatably provided via a drive shaft 27 and a rotary shaft 31, respectively. Note that the drive shaft 27
is operatively connected to a rotating shaft 37 of a rotating device 35, such as a motor, via a connecting member 33 such as a chain or belt.

An endless band saw blade T is wound around the drive wheel 25 and the two driven wheels. The saw blade housing includes
Three guides are provided to guide and support the bandsaw blade T perpendicularly to the workpiece W in the cutting area.

Therefore, in the horizontal band saw machine 1, by appropriately rotating the rotating device 35, the band saw blade T is
The work material W can be cut by driving the machine to travel.

Further, by supplying pressure oil into the lift cylinder 11 and causing the piston rod 9 to protrude, the saw blade housing can be rotated upwardly. Then, change the oil path and lift cylinder 1 due to the weight of the saw blade housing.
By discharging the pressure oil in 1, the saw blade housing can be rotated downward.

By the way, when cutting the work material W, cutting resistance is generated. This cutting resistance consists of a principal component force and a thrust component force, and considering that it is related to the rigidity of the workpiece W, in this embodiment, by detecting the thrust component force and the principal component force of the cutting resistance. , machinability of the work material W can be detected.

Referring to FIG. 1, the guide 39 is provided with a load detection device 41 to detect thrust force.

More specifically, a roller presser foot 43 for pressing the back of the bandsaw blade T is provided below the guide 39. This roller presser foot 43 is provided with a roller 45 that can be moved freely, and is also provided with an elevating parr 49 elastically loaded with a spring 47. This lifting bar 49 is provided with a load sensor 51 that can detect a signal corresponding to the impulse force of the cutting resistance.

Therefore, when the roller 45 is brought into contact with the bandsaw blade T, the spring 47 and the roller presser foot 43 are brought into contact. When the workpieces t and IW are cut under preset cutting conditions, the roller presser 43 rises against the biasing force of the spring 47 due to the back force, and the load sensor 51 detects the back force. A signal corresponding to the force is detected, this signal is inputted to the CPU 23 via the interface 53, and when appropriate arithmetic processing is performed, the thrust force of the cutting resistance is detected and displayed.

Alternatively, it is also possible to provide the lift cylinder 11 with a pressure gauge 55 in order to detect the thrust force of the cutting resistance. That is, this is because the pressure within the lift cylinder 11 changes depending on the thrust force.

Therefore, when the work material W is cut under preset cutting conditions, the pressure inside the lift cylinder 11 changes as the saw blade housing rotates downward, and the pressure gauge 55 converts the pressure into a thrust force. A corresponding signal is detected, and this signal is input to the CPU 23 via the interface 57, and after being subjected to appropriate arithmetic processing, the thrust force of the cutting resistance is detected and displayed.

Next, a rotation sensor 59 is provided on the rotating shaft 37 of the rotating device 35 in order to detect the main component force of the cutting resistance, which is one of the component forces of the cutting resistance.

The reason why the rotation sensor 59 is provided is that the rotation device 3
This is because the number of rotations of 5 changes.

Therefore, when cutting the workpiece W under preset cutting conditions, the band saw blade T,
That is, the rotation speed of the rotating device 35 changes, a signal corresponding to the principal component force is detected by the rotation sensor 59, and this signal is input to the CPU 23 via the interface 61.
When appropriate calculation processing is performed, the principal force of the cutting resistance is detected and displayed.

Alternatively, it is also possible to provide an ammeter 63 in the rotating device 35 in order to measure the principal force component of the cutting resistance. This is because the current flowing through the rotating device @35 changes due to a change in the principal force.

Therefore, when cutting the workpiece W, the current flowing through the rotating device 35 changes due to the main force of the cutting resistance, and the ammeter 63 detects a signal corresponding to the main force, and this signal is transmitted to the interface. 65 and is input to the CPU 23 and subjected to appropriate arithmetic processing, the principal force of the cutting resistance is detected and displayed.

A clock 67 is connected to the CPU 23, and the clock 67 can measure the cutting time when the horizontal band saw machine 1 cuts the workpiece V.

Six cutting/bending detection devices such as magnetic sensors are provided on one side of the surface guide 39, and the cutting/bending foot of the bandsaw blade T is detected by the cutting/bending detection device 69. The detected amount of bending is transmitted to C through the interface 71.
It is input to PU23.

In FIG. 1, the workpiece W placed on the work table 3 and clamped by the vice device 5 is cut by rotating the saw blade housing.

The CPU 23 of the control device 21 has an input device 73 such as a keyboard for inputting the material, diameter, etc. of the workpiece W, and also displays data such as the measured back distance and principal component force. An output device 75 such as a CRT is connected.

The CPU 23 has a first . Second and third database 7
7.79.81 are connected. Furthermore, CPU23
A calculation processing means 83 and a menu file 85 for storing menus such as the material and diameter of the workpiece W are connected. Furthermore, a computer program memory 87 is connected to the CPU 23 for operating the horizontal bandsaw machine 1 by inputting cutting conditions from the input device 73.

As shown in FIG. 2, in the first database 77, detailed relationship data between the thrust force and the wear amount of the band saw blade T is determined in advance for each material and diameter of the workpiece W and is filed as a database. ing.

For example, in Fig. 2, when the thrust force is Po, the wear m
When Mo is the wear limit value, by comparing the actually detected thrust force P with the preset PO,
The lifespan of the band saw blade T will be determined and predicted.

As shown in FIG. 3, the second database 79 contains detailed relationship data between the amount of cutting bending and the amount of wear of the bandsaw blade T for each material and diameter of the workpiece W, and is stored in the database. Filed.

For example, in Fig. 3, if the wear IMo when the cutting and bending is Ko is taken as the wear limit value, the band saw blade T can be adjusted by comparing the actually detected cutting and bending ff1K with the preset Ko. Lifespan judgment and prediction will be made. Note that in this case, as a matter of course, the amount of bending is also predicted.

As shown in FIG. 4, in the third database 81, the relationship data between the accumulated cutting area for each material and diameter of the workpiece W and the wear value of the band saw blade T is obtained in detail in advance and is filed as a database. has been done. For example, in Fig. 4, the wear FJ M when the accumulated cutting area is CO
When o is the wear limit value, the lifespan of the band saw blade pressure is determined and predicted by comparing the actually detected cumulative cutting area C with the preset Go.

The arithmetic processing means 83 calculates the actually detected thrust force P, cut/bend ffi K, or accumulated cutting area C, and preset thrust force PO or cut/bend JiK.
Alternatively, a comparison calculation process is performed with the accumulated cutting area CO.

With the above configuration, the determination and prediction of the bandsaw blade king will be explained based on the flowchart of FIG. 5. First, in step S1, the cutting condition (Jl
), the material quality of the workpiece W is set by cutting the workpiece W with a saw 'f].

In step S2, the thrust force Pa against the limit wear m Mo of the band saw blade T due to the set work material W is determined in advance.
, cutting amount KO and cumulative amount I, : cut surface h! iCo
For example, 1st. 2nd and 3rd database 77.79
．． Figure 2, filed in 81.

The settings are made in the relationship graphs of FIGS. 3 and 4.

In step S3, the input device 73 inputs the data to be cut under the appropriate cutting conditions of ``2'', and the data is stored in the 87 (Haruwa0chopu[1gram Based on this, the horizontal bandsaw machine 1 is operated to start cutting the workpiece W through the bandsaw blade T.

,) While cutting the workpiece W under the cutting conditions of 2, it is determined in step S4 whether or not the cutting life has come to an end. In other words, Ent'Jffi
The embedding means 83 takes in the relational graph shown in FIG.
is taken in. This actually detected bending and bending K is the third
The relationship graph shown in the figure is compared with the preset cutting and bending ratio Ko.

When it is determined that the actually detected cutting angle faK is greater than the preset cutting angle Ko, the band saw blade T is )? Since it has reached the end of its life, in step S5, the workpiece material W which is responsible for another material is selected from the menu file filed in the menu file 85.
Select and return to step S1 -C The process will be restarted from the beginning.

The actually detected cut fjtK is the preset cut if
If it is determined that iK o has not been reached, step S
Proceed to step 6. J5, in this case, by understanding where on the curve the actually detected cutting bend ff1K is located in the relational graph of Fig. 3, the life expectancy of the cutting bend amount, that is, the life prediction of the band saw blade T is performed. I can do it.

In step S6, it is determined whether or not there is an increase in the thrust force actually detected at present with respect to the thrust force detected by the load sensor 51, for example.

If it is determined that the currently detected back force has increased more than the already detected back force, the process proceeds to step S7, where it is determined whether or not the band saw blade T has a lifespan based on the back force. A determination is made.

In other words, the performance processing means 83 includes the first database 7
The relational graph shown in FIG. 2, which is filled in at 7, is taken in, and, for example, the thrust force P actually detected by the load sensor 51 is also taken in.

This actually detected thrust force P is compared with a preset thrust force Po in the relationship graph shown in FIG.

The actually detected back force P is the preset back force jJPo
If it is determined that this is the case, the band saw blade T has reached the end of its service life, so in step S5, a work material W of a different material is selected from Menu 1 filed in the menu file 85, and the band saw blade T is removed. The process is restarted from the beginning before the step S1 (・2-return-).

If it is determined in step S6 that the currently detected thrust force does not increase from the already detected thrust force, or if the thrust force P actually detected in step S7 is equal to or less than the preset thrust force, ]11 if it is determined that Po has not been reached.
, proceed to step S8. In addition, in the 'Q' match of the ini, the second
In the relationship graph 1) in the figure, by understanding where on the curve the thrust force P detected at T3 is, the prediction of the thrust force becomes easier. You can make dramatic predictions on the bandsaw blade T.

In step 38, it is determined whether or not the band saw blade T is dead based on the cutting area. In other words, the performance processing means 83
The fourth data stored in the third database 81 is
In addition to the relationship graph shown in the figure being imported, for example, the cumulative cutting area C actually detected based on the cutting area based on the diameter of the workpiece W and the number of cuts is also imported. This actually detected accumulated cutting surface faC is compared with a preset cutting surface CO in the relational graph shown in FIG.

If it is determined that the actually detected cumulative cutting area C is greater than or equal to the preset cutting area Co, the band saw blade T has reached the end of its lifespan, and the same process as described above is performed in step s5. S Return to the point before 1 and start over from the beginning.

If it is determined that the actually detected accumulated cutting area C has not reached the preset cutting area Co, the process proceeds to step S9. In this case, by knowing where on the curve the actually detected accumulated cutting area C is located in the relationship graph of FIG. 4, the cutting area can be predicted and the life of the band saw blade T can be predicted. can be done.

In step S9, the next work material W is cut 1- (cutting).
If it is determined that the next workpiece W is to be cut, the process continues before step S1, and the same processing is performed thereafter.

When it is determined that the work material W should not be cut further,
In step S10, the thrust force P and the amount of wear are measured and stocked, and cutting of the same material and diameter is completed.

Next, in step 311, a material that is the same as the work material W but has a different diameter is selected from the menus stored in the menu file 85. In step S12, it is determined whether materials of the same material but different diameters have been selected from the menu, and if the same materials but different diameters have not been selected, the process returns to step 811. If materials of the same material but different diameters are selected, the process returns to step S1 and the following processing is performed.

In this way, while the work material W is being cut with the bandsaw blade T, the actual back force or amount of cutting bending or the accumulated cutting area is detected at an appropriate cutting position, and the detected actual The thrust force or bending amount or the accumulated cutting area and the first. 1゜It is determined that the band saw blade T has reached the end of its service life by comparing and determining the relationship data between the thrust force, the amount of cutting bending, or the accumulated cutting area and the amount of wear of the band saw blade T, which are filed in the 1st and 3rd databases. It is possible to automatically, accurately, reliably, and easily determine and predict the life expectancy of the product, or how long it will take to reach the end of its life. As a result, the band saw blade T is better controlled than ever before, leading to improvements in cutting accuracy and efficiency.

Note that the present invention is not limited to the embodiments described above, and can be implemented in other embodiments by making appropriate changes.

For example, after cutting a workpiece W with a bandsaw blade T, a displacement sensor provided in the housing is brought into contact with the end face of the workpiece W to detect the amount of cutting and bending, and the amount of cutting and bending is stored in the database. By comparing and determining the relationship data between the cutting bend m and the wear amount of the band saw blade T,
It is possible to automatically, accurately, reliably, and easily determine and predict whether a person has reached the end of their lifespan or how long it will take to reach the end of their lifespan.

Furthermore, instead of the accumulated cutting area in the above embodiment, the cutting time or cutting rate is detected, and comparison is made between the cutting time or the cutting rate and the relationship data between the cutting rate and the wear amount of the band saw blade T, which is stored in the database. By doing so, it is also possible to predict the lifespan of the band saw blade T.

[Effects of the Invention] As can be understood from the description of the embodiments, according to the present invention, as described in the claims, a work material can be cut by a saw blade. While performing this, the actual cutting resistance, cutting bending, or accumulated cutting area is detected at an appropriate cutting position, and the detected actual cutting resistance, cutting bending ω, or accumulated cutting area is calculated in advance. By comparing and determining the relationship data between the cutting force, the cut product, or the accumulated cutting area and the amount of wear of the band saw blade stored in the database, you can determine whether the saw blade has reached the end of its service life or how much longer it has left. It is possible to automatically, accurately, reliably, and easily determine and predict whether the product will reach the end of its service life. As a result, the saw blade can be managed better than ever before, leading to improved cutting accuracy and efficiency.

[Brief explanation of the drawing]

FIG. 1 is a block diagram showing the outline and control device of a horizontal band saw machine as a saw machine according to the present invention. Figure 2 is a diagram showing an example of the relational data between the thrust force and the amount of wear of the saw blade, which is filed in the first database.
The figure shows an example of the relationship data between the amount of cutting bending and the amount of wear of the saw blade, which is filed in the second database, and the figure 4 shows the cumulative cutting area and the amount of wear of the saw blade, which is filed in the third database. FIG. 3 is a diagram showing an example of relationship data with the amount of wear. FIG. 5 is a flowchart showing an example of predicting the lifespan of a saw blade while cutting a workpiece with a saw machine. 1... Horizontal band saw machine 21... Control device 23.
...CPU 51...Load sensor 69...
-Cut detection device 77...First database 79...Second database 81...Third database 83...Calculation processing means 85...Menu file agent Patent attorney Yasu MiyoshiヱE
Demand (spontaneous) 1999 μ month-2

Claims (3)

[Claims] (1) While cutting the work material with the saw blade on a saw machine, the actual cutting resistance is detected at the appropriate cutting position, and the detected actual cutting resistance and the actual cutting resistance are stored in the database in advance. A method for determining and predicting the lifespan of a saw blade, characterized in that the lifespan of the saw blade is determined and predicted by comparing the relationship data between the cutting force applied and the amount of wear of the saw blade. (2) The actual amount of cutting bending is detected while cutting the work material with the saw blade or after cutting, and the detected actual cutting amount and the amount of cutting are pre-filed in the database. A method for determining and predicting the lifespan of a saw blade, characterized in that the lifespan of the saw blade is determined and predicted by comparing relationship data between the amount of cutting and the amount of wear of the saw blade. (3) While cutting the work material with the saw blade on the saw machine, the actual accumulated cutting area, cutting time or cutting rate and the cutting area previously filed in the database or A method for determining and predicting the lifespan of a saw blade, which comprises comparing data relating to cutting time or cutting rate and the amount of wear of the saw blade to determine and predict the lifespan of the saw blade.