EP3956735A1 - Procédé d'usinage - Google Patents

Procédé d'usinage

Info

Publication number
EP3956735A1
EP3956735A1 EP20723997.1A EP20723997A EP3956735A1 EP 3956735 A1 EP3956735 A1 EP 3956735A1 EP 20723997 A EP20723997 A EP 20723997A EP 3956735 A1 EP3956735 A1 EP 3956735A1
Authority
EP
European Patent Office
Prior art keywords
machining
sensor
processing
processing method
vibration
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP20723997.1A
Other languages
German (de)
English (en)
Inventor
Rolf Hofbauer
Markus Morlock
Ruven Weiss
Philipp SEKINGER
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Homag GmbH
Original Assignee
Homag GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Homag GmbH filed Critical Homag GmbH
Publication of EP3956735A1 publication Critical patent/EP3956735A1/fr
Pending legal-status Critical Current

Links

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
    • B23Q15/00—Automatic control or regulation of feed movement, cutting velocity or position of tool or work
    • B23Q15/007—Automatic control or regulation of feed movement, cutting velocity or position of tool or work while the tool acts upon the workpiece
    • B23Q15/12—Adaptive control, i.e. adjusting itself to have a performance which is optimum according to a preassigned criterion
    • 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
    • G05B19/19—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 positioning or contouring control systems, e.g. to control position from one programmed point to another or to control movement along a programmed continuous path
    • G05B19/40—Open loop systems, e.g. using stepping motor
    • 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
    • G05B19/4163—Adaptive control of feed or cutting velocity
    • 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
    • G05B2219/37—Measurements
    • G05B2219/37351—Detect vibration, ultrasound
    • 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
    • G05B2219/37—Measurements
    • G05B2219/37434—Measuring vibration of machine or workpiece or tool
    • 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
    • G05B2219/37—Measurements
    • G05B2219/37435—Vibration of machine
    • 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
    • G05B2219/45229—Woodworking
    • 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
    • G05B2219/49054—Active damping of tool vibration

Definitions

  • the present invention relates to a
  • workpieces which are preferably at least partially made of wood
  • a known solution for this is the redesign of processing devices.
  • the natural frequencies of the processing devices can be increased through targeted stiffening of individual components; this can be simulated by means of modal analyzes.
  • stiffening of individual components usually has the effect that these components continue to have a higher weight, which requires more material and more installation space.
  • This solution is therefore subject to narrow limits, which can be caused, among other things, by the installation space, maximum permissible weight or the manufacturing costs of the processing devices.
  • Vibration states can be reduced without this causing disadvantages such as a higher weight, more material usage and more installation space of the processing devices.
  • the invention is based on the idea that strong oscillation states, especially in certain
  • Machining speeds occur which correspond to the natural frequencies of the machining devices. It was also recognized that these natural frequencies of the machining devices can be abandoned by adapting the machining speeds. It was recognized that for this purpose a detection of oscillation states during operation can be used in order to regulate or control a
  • a machining method for machining workpieces is preferably at least
  • a vibration state of the processing device is detected during a machining process, and a regulation or control towards a lower or preferably optimal vibration state of the
  • Process parameters can reach, for example, abnormality
  • Vibrational states This also enables a reduction in maintenance costs through early detection of component defects and goes hand in hand with a considerable increase in the service life and availability of the machine and an inspection of the
  • Tool clamping due to imbalance, for example. Furthermore, the detection of wear and tear and special events such as force and tension peaks can also be achieved. All of this increases the service life of machining devices and increases their machining quality.
  • the regulation or control towards a lower or preferably optimal vibration state of the machining device is preferably carried out by adapting a
  • the machining speed of the machining process is achieved, for example, by means of electric motors that
  • a rotation frequency of the electric motors corresponds to the frequency of the vibrating state of the machining device.
  • the speed of electric motors can be adjusted easily and accurately.
  • the vibration state of the machining device is determined by a force sensor and / or strain gauge and / or vibration sensor and / or laser sensor and / or acoustic sensor and / or
  • vibration sensor is preferably an acceleration sensor, speed sensor or displacement sensor.
  • the initial measurement can be started while idling
  • recorded data from the operation and / or from the initial measurement of a database or an IoT (Internet of Things) platform can also be provided and preferably the control or
  • Control can be adjusted using data from the database or the IoT platform.
  • data from the database or the IoT platform By collecting data in a database or an IoT platform, predictions can be made about the service life and thus preventive maintenance based on measurement data using many data sets.
  • the machining process is continued during the regulation or control by the relative movement between the machining device and
  • the machining process is preferably a
  • Machining processes make it possible to quickly and easily adapt vibration states when they are carried out, for example by adapting the drive speed.
  • Machining devices carried out, which are regulated or controlled to its own vibration state, which is different from each other.
  • Fig. 1 shows a view of a processing device of a first embodiment of the present invention.
  • Fig. 2 shows a flow chart of a first embodiment of the present invention.
  • FIG. 3 shows an actual and a target state of a vibration state of a first embodiment of FIG. 3
  • Embodiments can be wholly or partially combined in order to form further embodiments.
  • Fig. 1 shows a view of a processing device of a first embodiment of the present invention.
  • FIG. 1 shows a
  • Wood-based materials, plastic or the like exist, can carry out processing methods according to the invention.
  • a milling head 10 which, by means of rotating movements, can carry out machining operations on workpieces that are preferably made of wood, at least in sections,
  • the processing device 1 has a
  • Sensor 11 which is designed to measure vibrations during a machining process.
  • the exact position of the sensor 11 is particularly advantageous where a particular expansion / compression of the corresponding part of the processing device 1 takes place. This can be done using Modal analyzes can be measured and / or simulated and / or determined by trial and error.
  • the sensor 11 forwards the recorded data to a control device (not shown).
  • the control device is able to analyze the collected data and to send a control signal to the milling head 10 on the basis thereof. Based on this control signal, the
  • Milling head 10 then adjust its milling speed.
  • the control device of the preferred first embodiment shown here also comprises a communication module with which the collected data can be transmitted to a database or an IoT (Internet of Things) platform.
  • the communication module is preferably provided as a network module or WLAN module. Furthermore, the communication module can also receive data from the database or the IoT platform
  • Fig. 2 shows a flow chart of a first
  • This initial measurement is shown on the left. This initial measurement can be carried out periodically, for example daily or weekly, and serve as a calibration. It may also be necessary, for example for the
  • a sensor supplies data during a speed sweep.
  • data are with ascending
  • Speed Rotational speeds are predefined for example for milling head 10, and resulting vibrations of sensor 11 are detected. A functional relationship between speed and vibration intensity can thus be established.
  • the data recorded in this way can be made available to the database or the IoT platform.
  • the processing device 1 starts the
  • Rotational frequency range in order to minimize or at least reduce the vibrations.
  • a PID controller which is composed of a proportional, an integral and a differential controller, can be used as a controller.
  • controllers are of course also conceivable; it is generally preferred that individual control parameters can be further optimized during operation.
  • FIG. 3 shows a diagram with an actual and a desired state of a vibration state of a first
  • a measure of the vibration intensity is, for example, the
  • Vibration amplitude At an actual speed, which is shown in diagram I, comparatively high speeds occur
  • a rotational frequency range can be used
  • CNC milling processes in (CNC) stationary operation on workpieces that are at least partially made of wood, wood-based materials, plastic or the like, here
  • a rotational frequency of 24000 rpm is considered optimal, this being for example in a
  • Rotational frequency range from 10000 rpm to 30000 rpm
  • preferably 20,000 rpm to 28,000 rpm and more preferably 22,000 rpm to 25,000 rpm can be varied.
  • a rotational frequency of 6000 rpm is considered optimal, this being for example in a
  • the rotational frequency range can be varied from 4000 rpm to 30000 rpm, preferably 5000 rpm to 12000 rpm and more preferably 5000 rpm to 7000 rpm. Within these ranges, an optimum can now be identified by means of a speed sweep, which serves as the new target variable.
  • the cutting can be carried out by means of a cutting saw blade, in which the speed is varied, and when edge banding, the rotation of a pressure roller and / or the movement of mechanical components of a gluing device can be varied.
  • the processing method has several
  • Processing devices for example according to the first or second embodiment.
  • Processing devices are made with different
  • Target rotational frequency ranges controlled or regulated, so that each machining device works at a rotational frequency that only occurs once. This means that increased excitation due to position coupling of the imbalances of the machining motors is prevented.

Landscapes

  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Manufacturing & Machinery (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Mechanical Engineering (AREA)
  • Automatic Control Of Machine Tools (AREA)

Abstract

L'invention concerne un procédé d'usinage destiné à l'usage de pièces constituées de préférence au moins en partie de bois, de matériaux en bois, de plastique ou similaire, sur un dispositif d'usinage, un état d'oscillation étant détecté pendant un processus d'usinage. Une régulation ou une commande se poursuit pendant le processus d'usinage jusqu'à un état d'oscillation optimal plus bas ou préférentiel du dispositif d'usinage.
EP20723997.1A 2019-04-17 2020-04-16 Procédé d'usinage Pending EP3956735A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102019110137.9A DE102019110137A1 (de) 2019-04-17 2019-04-17 Bearbeitungsverfahren
PCT/EP2020/060698 WO2020212482A1 (fr) 2019-04-17 2020-04-16 Procédé d'usinage

Publications (1)

Publication Number Publication Date
EP3956735A1 true EP3956735A1 (fr) 2022-02-23

Family

ID=70554001

Family Applications (1)

Application Number Title Priority Date Filing Date
EP20723997.1A Pending EP3956735A1 (fr) 2019-04-17 2020-04-16 Procédé d'usinage

Country Status (5)

Country Link
US (1) US20220212303A1 (fr)
EP (1) EP3956735A1 (fr)
CN (1) CN113767342A (fr)
DE (1) DE102019110137A1 (fr)
WO (1) WO2020212482A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI766489B (zh) * 2020-12-21 2022-06-01 財團法人工業技術研究院 用於工具機的加工監控方法及加工監控系統

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102005023317A1 (de) * 2005-05-20 2006-11-23 P & L Gmbh & Co. Kg Verfahren zur Schwingungsoptimierung einer Werkzeugmaschine
US7806635B2 (en) * 2007-03-07 2010-10-05 Makino, Inc. Method and apparatus for producing a shaped bore
US8256590B2 (en) * 2007-05-24 2012-09-04 Okuma Corporation Vibration suppressing device and vibration suppressing method for machine tool
JP5234772B2 (ja) * 2008-10-28 2013-07-10 オークマ株式会社 工作機械の振動抑制方法及び装置
DE202008014792U1 (de) * 2008-11-07 2010-03-25 Qass Gmbh Vorrichtung zum Bewerten von Zerspanungsprozessen
JP5105102B2 (ja) * 2009-04-10 2012-12-19 エヌティーエンジニアリング株式会社 作業機械のびびり抑制方法及び装置
JP5536608B2 (ja) * 2010-10-13 2014-07-02 オークマ株式会社 工作機械における振動抑制方法及び振動抑制装置
DE102011006391A1 (de) * 2011-03-30 2012-10-04 Siemens Aktiengesellschaft Verfahren und Vorrichtung zur Erfassung von Parametern einer durch- oder umlaufenden Materialbahn in einer Materialverarbeitungsmaschine
DE102014209009A1 (de) * 2014-01-27 2015-07-30 Robert Bosch Gmbh Werkzeugmaschinenvorrichtung
DE202014009989U1 (de) * 2014-12-17 2015-01-16 Robert Bosch Gmbh Oszillationswerkzeugmaschine
DE102016224749A1 (de) * 2016-12-12 2018-06-14 Robert Bosch Gmbh Werkzeugmaschine zur spanenden Bearbeitung eines Werkstücks
DE102017101581A1 (de) * 2017-01-26 2018-07-26 Homag Plattenaufteiltechnik Gmbh Verfahren zum Betreiben einer Werkstückbearbeitungsanlage, sowie Werkstückbearbeitungsanlage

Also Published As

Publication number Publication date
WO2020212482A1 (fr) 2020-10-22
US20220212303A1 (en) 2022-07-07
CN113767342A (zh) 2021-12-07
DE102019110137A1 (de) 2020-10-22

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