WO2010061061A1 - System and device for making machining more efficient - Google Patents
System and device for making machining more efficient Download PDFInfo
- Publication number
- WO2010061061A1 WO2010061061A1 PCT/FI2009/050957 FI2009050957W WO2010061061A1 WO 2010061061 A1 WO2010061061 A1 WO 2010061061A1 FI 2009050957 W FI2009050957 W FI 2009050957W WO 2010061061 A1 WO2010061061 A1 WO 2010061061A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- cutting
- machining
- tool
- signals
- group
- Prior art date
Links
Classifications
-
- 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
-
- 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
-
- 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
- G05B19/404—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 control arrangements for compensation, e.g. for backlash, overshoot, tool offset, tool wear, temperature, machine construction errors, load, inertia
-
- 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
- G05B19/416—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 control of velocity, acceleration or deceleration
- G05B19/4166—Controlling feed or in-feed
-
- 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
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/45—Nc applications
- G05B2219/45044—Cutting
-
- 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
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/49—Nc machine tool, till multiple
- G05B2219/49061—Calculate optimum operating, machining conditions and adjust, adapt them
-
- 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
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/49—Nc machine tool, till multiple
- G05B2219/49064—Fuzzy adaptive control
-
- 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
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/49—Nc machine tool, till multiple
- G05B2219/49074—Control cutting speed
-
- 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
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/49—Nc machine tool, till multiple
- G05B2219/49077—Control of feed and spindle, cutting speed
Landscapes
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Manufacturing & Machinery (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Automatic Control Of Machine Tools (AREA)
Abstract
The invention relates to a system for making machining more efficient in connection with turning. According to the invention, more than one signal is measured, the measured signals are analyzed, the cutting conditions are analyzed based on the analyzed signals, deduction is performed based on the analysis of cutting conditions by a selected deduction method, and the process variables of cutting are adjusted, based on the deduction, in real time during machining towards optimal cutting situation.
Description
SYSTEM AND DEVICE FOR MAKING MACHINING MORE EFFICIENT
FIELD OF THE INVENTION
The invention relates to a system as defined in the preamble of claim 1 and to a device as defined in the preamble of claim 14 for making machining more efficient in connection with turning.
BACKGROUND OF THE INVENTION Known from the prior art are various methods and apparatuses to perform machining, such as roughing and cutting.
When metallic machine parts are manufactured, the excess metal of the billet is cut off by roughing. Good roughing is characterized by efficiency of cutting, well realized chip control, low cutting vibrations and that the tool does not loose its cutting ability or break unexpectedly due to the choice of cutting values. In cutting, the cutting conditions are never stable but change partly as a function of time and partly completely randomly. A * random change or worsening of the cutting conditions is often due to non-homogeneity of the material to be cut. In terms of time, the cutting conditions may worsen due to dimin- ishing size and worsening solidity of the workpiece to be cut due to roughing or wearing of the tool.
When machine parts are manufactured e.g. by a numerically controlled NC lathe, the machining program is realized in an ISO-standardized code language. The cutting values are determined in the program so as to be valid for the entire length of the roughing to be carried out. In this case, the cutting values must be selected to comply with the point exhibiting the weakest cutting conditions. Thus, efficiency of roughing
must be compromised, which is not accordant to the principles of efficient quality roughing.
Known from document JP 7308847 is an arrangement for detecting wearing conditions of a tool. In the arrangement, the tool wear is analyzed.
A problem with the current methods is that cutting and its efficiency as an ensemble cannot be analyzed and adjusted. In current methods, certain aspects can be analyzed, such as tool wear or dimensions of the workpiece to be shaped. Adjusting often encompasses only adjustments of one item at a time, e.g. to delay tool wear or to change the dimensions of the workpiece to be shaped.
In addition, it has been problematic that ef- ficiency and the degree of automation of the machine shop may" have Joeen raised only by adding robotic systems outside the machine tool to automatize processing of the workpiece. It has not been possible before to automatize controlling of the machining in terms of efficiency and quality.
OBJECTIVE OF THE INVENTION
The objective of the invention is to disclose a new affordable, efficient and readily adjustable control system and device for machining. In addition, the objective of the invention is to provide a means of improving efficiency of machining such as cutting.
SUMMARY OF THE INVENTION The system and the device according to the invention are characterized by what has been presented in the claims.
' The invention is based on a system for improving the machining and making it more efficient in connection with turning, e.g. in connection with rough turning or finishing machining. According to the inven-
tion, more than one signal is measured, the measured signals are analyzed, the cutting conditions are analyzed based on the analyzed signals, deduction is performed, based on the analysis of cutting conditions, by a selected deduction method, and the process variables of cutting are adjusted, based on the deduction, in real time during machining towards an optimal cutting situation, preferably towards optimal cutting conditions within determined limit values and conditions. Preferably, the signals provide information of the cutting process and state of the process in connection with cutting. Based on the signals, it is possible to monitor the cutting process and identify the items that need to be improved in the cutting process. Preferably, problematic cutting situations can be eliminated by means of the system.
The invention is specifically based on making the entire cutting process more efficient, not improving a single cutting value. The objective of the in- vention is to provide an efficient quality cutting process for the entire duration of the turning by analyzing and adjusting the ensemble of the cutting properties in real time. The system is indifferent as to what kind of a starting material is used or whether the cutting is good or bad. Specifically, the process parameters of cutting are adjusted in the system.
In the solution according to the invention, e.g. fuzzy logic may be used as the deduction method. The deduction may be performed in one or more stages. In one embodiment of the invention, more than one measured signal, selected from the group of acceleration of a first direction of the tool, e.g. acceleration in the direction of the feed movement of the tool, acceleration of a second direction of the tool, e.g. acceleration perpendicular to the feed direction
of the tool, acoustic emission, vibration, sound, tool wear and power used for cutting, is analyzed.
In one embodiment of the invention, at least one process variable, selected from the group of cut- ting speed and feed (preferably iran/r) , is adjusted. In one embodiment, the system suggests the cutting depth which the user may accept or reject.
In one embodiment of the invention, the efficiency of cutting is improved, i.e. the cutting is op- timized by considering the current cutting conditions, and the attribute of the efficiency is selected from the group of quality of machining, maximization of chip flow and predictability of tool life. In one preferred embodiment, the efficiency of cutting is a com- bination of a number of attributes.
The chip flow may be calculated as a product of cutting speed, feed and cutting depth. In one preferred embodiment, the system suggests a sufficient cutting depth after the onset of cutting so that nearly the entire output provided by the machine tool is utilized.
The system aims at determining such a cutting speed which can provide the desired tool life by considering the information stored in the system. In one embodiment of the invention, the machining quality comprises calm machining, low level of vibration and acceleration of the machining, chip cut or chip break and controlled wearing of the tools.
Calmness of machining means that chips do not fly uncontrollably and the sound of cutting is not raised. If the cutting process is not calm, it may be detected as a raised sound and/or raised level of vibration of the cutting.
Quality of cutting can be detected by low Ie- vel of vibration. The level of vibration means, in this connection, a meter constituted based on the values of
acceleration and acoustic emission measured from the cutting process. Raised level of vibration can be detected by different levels of sound transmitted during cutting, e.g. a high-pitched sound, or variation in ac- celeration values of the tool.
A breaking chip is a prerequisite of machining which is safe and productive. The desired chip form is short, and breaking of chips should be regular. The system according to the invention is able to cut a chip even when increasing the feed does not promote chip breaking, e.g. by temporary stopping of the feed.
In one embodiment of the invention, the attributes to be monitored and representing the cutting conditions are selected from the group of chip cut, chip length, calmness of machining, level of vibration and acceleration of machining, tool life and chip flow.
In one embodiment, a signal group is used in the analysis of cutting conditions to determine the current process state and items that need to be improved in real time. For example, one cutting condition attribute can be monitored by a number of signals. The system according to the invention is able to distinguish and process effects or problems which are non- related to cutting because the system uses many different signals combined in different ways to monitor the cutting. If required, the measured signals may be filtered to eliminate incidental inaccurate measurements. The signals may be processed in the desired and appro- priate manner and they are used for analyzing the cutting conditions. Attributes of cutting conditions analyzed from the signals may be compared to the values stored earlier in the system.
In one embodiment of the invention, the sig- nals are measured by sensors selected from the group of acceleration sensors, e.g. acceleration sensors of a
first and a second direction, sensors of acoustic emission, power measurement, cameras, machine vision and microphones. In a preferred embodiment, a combination of more than one sensor is used, in which case the sen- sors may have been selected from the same or different sensor groups.
In one embodiment, condition and wear of the tool is evaluated by machine vision.
In one embodiment, sensors are mounted in con- nection with the tool, e.g. a lathe, so as to measure acoustic emission produced in the cutting process and acceleration of the tool from tool holder. Sensoring permits measurement of acceleration values in accordance with the first and the second direction. In one embodiment, sound produced by cutting is observed by a microphone in the machining room. In one embodiment, cutting ability of the tool, e.g. flank wear of the tool, is monitored by a camera in the machining room. In one embodiment, power used for cutting is observed by power measurement. If the total available power provided by the device is not utilized, the system increases the feed, unless there are other limitations . In one embodiment of the invention, the user enters into the system more than one limit value for cutting selected from the group of feed range, cutting speed range, initial cutting speed, maximum cutting depth, maximum output of lathe and desired tool life. In one embodiment, information of limit values for cutting is entered into the system before onset of the cutting. In one embodiment, the user selects the analysis principles. In one embodiment, the user may, where desirable, delete, modify or change certain limit val- ues or cutting situations.
Preferably, the user selects the tool to be used and the system adjusts to the choice. The system aims at making cutting as efficient as possible, irrespective of the tool selected by the user. In one embodiment of the invention, the system is arranged to store information of the cutting process and the state thereof as well as items that need to be improved and factors affecting the efficiency of cutting substantially during cutting, pref- erably in real-time during cutting. All information, such as analysis information, history information, e.g. history information of a specific tool, device- specific limit values, learned limit values, material- specific limit values, measurement information and tool edge information or other useful information, can be stored in the system. In one embodiment, a database of cutting variables, tool life and build-up of flank wear marks is established in the system.
In one embodiment, the system adjusts the process variables of cutting towards optimal cutting conditions so as to improve efficiency of cutting by considering the limit values entered in the system which, as a rule, are not exceeded, and by considering the information stored in the system in real time of the process. However, the system allows exceeding of the limit values in exceptional cases.
In one embodiment, the system suggests a cutting depth to be used to improve efficiency.
In one embodiment of the invention, the system comprises a preparative step which is performed only once for each tool/material combination and wherein observed and critical information of the tool/material combination is stored in the system.
In one embodiment of the invention, the system is substantially a learning system, i.e. based on artificial intelligence, which learns and looks for an op-
timal situation in terms of efficiency based on earlier stored values and information as well as real-time information. The system learns to use such a range of cutting parameters where cutting is as high-quality and efficient as possible. The system learns by monitoring, i.e. analysis. The information is stored based on the monitoring.
By the system according to the invention, it can be identified whether a problem is minor or major in terms of cutting, on which basis and in which extent the adjustment is made. By adjusting, the goal is always as good as possible efficiency in the cutting, considering the current limitations. Preferably, the items that need to be improved should be identified in real time during machining. In one embodiment, features of the signals are related to problem situations. In one embodiment, the measurements are combined so that the signals found to be the most reliable weigh more than other signals. In one embodiment of the invention, each item that needs to be improved, determined based on the analysis, has an urgency value on the basis of which the process variables are adjusted.
In one embodiment, more than one measured sig- nal, selected from the group of tool accelerations, acoustic emission, vibration, sound, tool wear and power used for cutting, is analyzed by the system, wherein the signals provide information of the cutting process and state of the process in connection with cutting; the cutting process is monitored based on the signals and the analysis data, the items that need to be improved in the cutting process are identified and at least one process variable of cutting is adjusted, where necessary, in real time during machining based on the analysis data towards optimal cutting situation, so as to optimize efficiency of cutting by considering the
current cutting conditions, the limit values entered into the system and information of the process stored in the system; the real-time observations of cutting conditions and items that need to be improved in cut- ting as well as the factors affecting efficiency of cutting are stored in the system; and cutting and efficiency thereof is controlled based on the information stored and entered in the system to improve efficiency of cutting based on the analysis. In addition, the invention is based on a device for making machining more efficient in connection with turning. According to the invention, the device comprises a system according to any one of features presented above for making machining more efficient, and means for measuring the signals. Preferably, the device may be coupled with any machining apparatus, such as a turning apparatus. In one preferred embodiment, the device may be coupled with the control system of the machining apparatus. In one embodiment, the device comprises measuring, control and/or adjusting means.
The system and the device according to the invention provide considerable advantages as compared to the prior art. Thanks to the invention, a learning real-time analysis and adjustment system is provided for performing turning.
Thanks to the invention, efficiency of cutting can be improved significantly. By the system ac- cording to the invention, the optimal state in terms of efficiency of cutting is reached, e.g. maximum feed and/or maximum cutting speed relative to the tool wear. The system according to the invention optimizes the cutting values so that cutting is always optimally efficient and high-quality relative to the cutting conditions. By the system and the device it can be en-
sured that maximum chip flow and/or maximum feed is obtained relative to the cutting conditions so that cutting is safe.
In addition, thanks to the invention, machin- ing, such as turning, and the control of machining can be automatized, and the input of the worker may be directed to other important tasks instead of monitoring the machining.
The system and the device according to the invention are applicable to different machining uses and in connection with machining apparatuses. The system and the device according to the invention may be coupled with any commercial control system.
DETAILED DESCRIPTION OF THE INVENTION
In the following section, the invention will be described by detailed examples of its embodiments. Example 1
This learning system according to the invention, controlling rough turning, comprised optimization of cutting efficiency which was a combination of the following attributes: quality of machining, maximization of chip flow relative to cutting conditions, and predictability of tool life, which were found to be dependent on the employed machining process, process variables and the material to be machined. The user selected the tool to be used. A preparative step was performed once for each tool/material combination, wherein observed and critical information of the tool/material combination was entered in the system.
The system measured more than one signal selected from the group of: acceleration in the direction of feed movement of the tool, acceleration perpendicu- lar to the feed movement of the tool, acoustic emission, vibration, sound, tool wear and power used for
cutting, and analyzed the measured signals. The signals were found to be linked with the cutting process and state of the process in connection with cutting. Based on the signals, the cutting process was monitored, the items that needed to be improved and problem situations in the cutting process were identified, and process variables, selected from the group of cutting speed and feed, were adjusted, where necessary, in real time during machining. Efficiency of cutting was optimized to- wards optimal cutting process without exceeding the limit values entered in the control system and by considering both real-time and pre-entered information of the process, stored in the control system, such as observations of the state of cutting and items that need to be improved in cutting as well as factors affecting efficiency of cutting. The items that needed to be improved had predetermined urgency values. Cutting was controlled based on information stored and entered in the control system to optimize efficiency of cutting by a deduction method based on fuzzy logic using the measured signals. The limit values of cutting entered in the system were selected from the following group: feed range, cutting speed range, initial cutting speed, maximum cutting depth, maximum output of lathe and de- sired tool life. Chip cut, chip length, calmness of machining, level of vibration and acceleration of machining, tool life and chip flow were found to be important attributes for the state of the cutting process.
In the test it was discovered that the system does not require any actions of the user after the preparative step, and the system optimizes cutting during the cutting without any operations from the machinist.
Example 2
This test comprised examining one system according to the invention, which is a rough turning controlling system product that provides optimal roughing in terms of efficiency. The system is used from a portable computer which is connected to the lathe and, more precisely, to the control system thereof. The sensors for measuring the signals comprised in the system according to the invention are also connected to said portable computer. The sensors are secured to the lathe tool.
Based on the measured signals, the system analyzes the cutting situation and cutting conditions. If the system discovers that cutting conditions are such that e.g. machining is too rough, the chip does not break or the machining exhibits unused output capacity, the system by itself changes the cutting variables to the correct direction and thus eliminates a problematic cutting situation. In addition to elimination of problematic situations, the system according to the invention allows optimization of the cutting variables to be the most efficient for each situation. The cutting variables may be changed even at intervals of a few seconds during machining, whereby efficiency of machining may be optimized according to the current instantaneous cutting conditions.
Earlier, changing the cutting variables has been performed by the machinist, and the changes have been based on the machinist's long-term experience.
The system and the device according to the invention are suitable in different applications for use in the manufacture and machining of the most diverse types of metallic workpieces as well as in connection with different machine tools. The invention is not limited merely to the example referred to above; instead, many variations
are possible within the scope of the inventive idea defined by the claims.
Claims
1. A system for making machining more efficient in connection with turning, c h a r a c t e r i z e d in that more than one signal is measured, the measured signals are analyzed, the cutting conditions are analyzed based on the analyzed signals, deduction is performed, based on the analysis of cutting conditions, by a selected deduction method, and the process variables of cutting are adjusted based on the deduc- tion in real time during machining towards optimal cutting situation.
2. The system according to claim 1, c h a r a c t e r i z e d in that more than one measured signal, selected from the group of tool accelerations, acoustic emission, vibration, sound, tool wear and power used for cutting, is analyzed.
3. The system according to claim 1 or 2, c h a r a c t e r i z e d in that at least one process variable, selected from the group of cutting speed and feed, is adjusted.
4. The system according to any one of claims 1 to 3, c h a r a c t e r i z e d in that efficiency of cutting is improved, wherein the attribute of efficiency is selected from the group of quality of machin- ing, maximization of chip flow, and predictability of tool life.
5. The system according to claim 4, c h a r a c t e r i z e d in that efficiency of cutting is a combination of several attributes.
6. The system according to claim 4 or 5, c h a r a c t e r i z e d in that quality of machining comprises calm machining, low level of vibration and acceleration of machining, chip cut and controlled tool wear.
7. The system according to any one of claims
1 to 6, c h a r a c t e r i z e d in that the attributes of cutting conditions to be monitored are selected from the group of chip cut, chip length, calmness of machining, level of vibration and acceleration of machining, tool life and chip flow.
8. The system according to any one of claims
1 to 7, c h a r a c t e r i z e d in that the signals are measured by sensors selected from the group of acceleration sensors, sensors of acoustic emission, power measurement, cameras, machine vision and microphones.
9. The system according to any one of claims
1 to 8, c h a r a c t e r i z e d in that more than one limit value of cutting, selected from the group of feed range, cutting speed range, initial cutting speed, maximum cutting depth, maximum output of lathe and de- sired tool life, is entered in the system.
10. The system according to any one of claims 1 to 9, c h a r a c t e r i z e d in that information of the cutting process and state thereof as well as items that need to be improved and factors affecting effi- ciency of cutting is stored in the system substantially during cutting.
11. The system according to any one of claims 1 to 10, c h a r a c t e r i z e d in that the system comprises a preparative step which is performed only once for each tool/material combination and wherein observed and critical information of the tool/material combination is stored in the system.
12. The system according to any one of claims 1 to 11, c h a r a c t e r i z e d in that the system is substantially a learning system which learns and looks for an optimal situation in terms of efficiency based on earlier stored values and information as well as real-time information.
13. The system according to any one of claims 1 to 12, c h a r a c t e r i z e d in that each item that needs to be improved, determined based on the analysis, has an urgency value on the basis of which the process variables are adjusted.
14. A device for making machining more efficient in connection with turning, c h a r a c t e r i z e d in that the device comprises the system according to any one of claims 1 to 13 for making machining more efficient, and means for measuring the signals .
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| FI20086140 | 2008-11-27 | ||
| FI20086140A FI20086140A (en) | 2008-11-27 | 2008-11-27 | Systems and apparatus for streamlining machining |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2010061061A1 true WO2010061061A1 (en) | 2010-06-03 |
Family
ID=40097384
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/FI2009/050957 WO2010061061A1 (en) | 2008-11-27 | 2009-11-27 | System and device for making machining more efficient |
Country Status (2)
| Country | Link |
|---|---|
| FI (1) | FI20086140A (en) |
| WO (1) | WO2010061061A1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014026108A1 (en) * | 2012-08-10 | 2014-02-13 | Hypertherm, Inc. | Automatic tool for motion analysis and optimization on cnc machine |
| EP3970913A1 (en) | 2020-09-16 | 2022-03-23 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Method for the machining of structures on workpiece surfaces and machining tool |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6161055A (en) * | 1993-05-17 | 2000-12-12 | Laser Measurement International Inc. | Method of determining tool breakage |
| US20040179915A1 (en) * | 2003-03-10 | 2004-09-16 | Hill Wayne S. | Dynamical instrument for machining |
| US20080105094A1 (en) * | 2004-12-20 | 2008-05-08 | Renishaw Plc | Machine and Control System |
-
2008
- 2008-11-27 FI FI20086140A patent/FI20086140A/en not_active IP Right Cessation
-
2009
- 2009-11-27 WO PCT/FI2009/050957 patent/WO2010061061A1/en active Application Filing
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6161055A (en) * | 1993-05-17 | 2000-12-12 | Laser Measurement International Inc. | Method of determining tool breakage |
| US20040179915A1 (en) * | 2003-03-10 | 2004-09-16 | Hill Wayne S. | Dynamical instrument for machining |
| US20080105094A1 (en) * | 2004-12-20 | 2008-05-08 | Renishaw Plc | Machine and Control System |
Non-Patent Citations (5)
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014026108A1 (en) * | 2012-08-10 | 2014-02-13 | Hypertherm, Inc. | Automatic tool for motion analysis and optimization on cnc machine |
| CN104937509A (en) * | 2012-08-10 | 2015-09-23 | 海别得公司 | Automatic tool for motion analysis and optimization on cnc machine |
| EP3970913A1 (en) | 2020-09-16 | 2022-03-23 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Method for the machining of structures on workpiece surfaces and machining tool |
Also Published As
| Publication number | Publication date |
|---|---|
| FI20086140A0 (en) | 2008-11-27 |
| FI20086140A (en) | 2010-05-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8136432B2 (en) | Closed-loop CNC machine system and method | |
| Tangjitsitcharoen et al. | Development of chatter detection in milling processes | |
| WO2004077181A2 (en) | On demand adaptive control system | |
| Landers et al. | Process monitoring and control of machining operations | |
| Bagci | Monitoring and analysis of MRR-based feedrate optimization approach and effects of cutting conditions using acoustic sound pressure level in free-form surface milling | |
| CN105573250B (en) | It is machined online quality management-control method and system and machining tool | |
| CN112091726A (en) | Abnormality detection device for machining tool | |
| JP2022536752A (en) | Controllers for use in numerically controlled machine tools, and machine tools containing controllers | |
| CN107807526B (en) | Method for intelligently inhibiting machining chatter vibration based on stability simulation | |
| WO2010061061A1 (en) | System and device for making machining more efficient | |
| CN112008495B (en) | Cutter damage identification method based on vibration monitoring | |
| CA2152906C (en) | Controller for cnc-operated machine tools | |
| Denkena et al. | Automatic process parameter adaption for a hybrid workpiece during cylindrical operations | |
| KR101015058B1 (en) | Apparatus for compensation of chatter vibration in machine tools | |
| Iskra et al. | Toward a process monitoring and control of a CNC wood router: Development of an adaptive control system for routing white birch | |
| Abellan et al. | Adaptive control optimization of cutting parameters for high quality machining operations based on neural networks and search algorithms | |
| CA3008082A1 (en) | Method for monitoring a machine tool, and controller | |
| RU95120016A (en) | CONTROLLER FOR CNC MACHINES | |
| US10843361B2 (en) | Control of a metal-cutting machining process by means of p-controller and a load-dependent control factor based on a control deviation e(t) between a control quantity y(t) and a guide quantity w(t) | |
| US5187669A (en) | Programmable surface sensor for machining rough stock | |
| Ratava et al. | An adaptive fuzzy control system to maximize rough turning productivity and avoid the onset of instability | |
| Yoneoka et al. | Disturbance observer–based in-process detection and suppression of chatter vibration | |
| KR101499180B1 (en) | System and method for chip morphology control by feed override control method in turning process | |
| JPH068106A (en) | Adaptive control system and state judgment device | |
| RU2355556C2 (en) | Device for control of traverse feed operating cycle at grinding |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 09828702 Country of ref document: EP Kind code of ref document: A1 |
|
| DPE1 | Request for preliminary examination filed after expiration of 19th month from priority date (pct application filed from 20040101) | ||
| NENP | Non-entry into the national phase |
Ref country code: DE |
|
| 122 | Ep: pct application non-entry in european phase |
Ref document number: 09828702 Country of ref document: EP Kind code of ref document: A1 |