Machining environment measurement device

US11440152B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11440152-B2
Application numberUS-201916547577-A
CountryUS
Kind codeB2
Filing dateAug 22, 2019
Priority dateAug 31, 2018
Publication dateSep 13, 2022
Grant dateSep 13, 2022

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  1. Title

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  2. Abstract

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  4. Key dates

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  5. First independent claim

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Abstract

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A machining environment measurement device, which enables automatic identification of a vibration source which may cause defects in a machined surface based on pieces of vibration data without performing an actual machining process, includes a reference machining data storage unit that stores reference machining data computed based on time-series data of vibration measured in advance in an ideal machining environment; a data acquisition unit that acquires time-series data of vibration of at least a holder attached to a spindle of the machine tool detected by a holder measurement sensor; an analysis unit that analyzes the time-series data and computes feature data indicating a feature of the time-series data; a comparative determination unit that compares the feature data with the reference machining data and determines a machining environment of the machine tool; and a display unit that displays the determination result of the comparative determination unit.

First claim

Opening claim text (preview).

The invention claimed is: 1. A machining environment measurement device for measuring an influence of a vibration on a machining process in a machine tool, the machining environment measurement device comprising: a reference machining data storage unit configured to store reference machining data computed on the basis of time-series data of vibration measured in advance in an ideal machining environment; a data acquisition unit configured to acquire time-series data of vibration of at least a holder attached to a spindle of the machine tool, wherein the vibration of the holder is detected by a holder measurement sensor; an analysis unit configured to analyze the time-series data acquired by the data acquisition unit and compute feature data indicative of a feature of the time-series data; a comparative determination unit configured to perform a comparison that compares (a) a distance Di between (1) parameters at a first frequency Si among frequencies included in the feature data indicative of the feature of the time-series data computed by the analysis unit and (2) the parameters at a second frequency Fi corresponding to the first frequency and included in the reference machining data stored in the reference machining data storage unit, with (b) predetermined thresholds, compute a score Xi for the frequencies Si and Fi on the basis of a result of the comparison, compute an average of the scores given to all the frequencies included in the feature data, as a score X of the time series data, and based on the score X of the time series data, make determination of a machining environment of the machine tool; and a display unit configured to display a result of the determination made by the comparative determination unit, wherein the comparative determination unit is further configured to determine the distance Di between the parameters at the first frequency Si and the parameters at the second frequency Fi according to Equation (1) below while assigning a weight to the square of the difference between the parameters: DISTANCE Di BETWEEN Si AND Fi =√{square root over (( F Ai −S Ai ) 2 ( F Vi −S Vi ) 2 +( F Di −S Di ) 2 )}  (1), and determine the score X of the time series data according to Equation (2) below: SCORE × OF ⁢ ⁢ TIME ⁢ ⁢ SERIES ⁢ ⁢ DATA = 1 n ⁢ ∑ Xi , ( 2 ) where S Ai , S Vi and S Di are first through third parameters, respectively, at the first frequency Si, and F Ai , F Vi and F Di are the first through third parameters, respectively, at the second frequency Fi. 2. The machining environment measurement device according to claim 1 , wherein the data acquisition unit is further configured to acquire at least either of (a) time-series data of vibration of the spindle of the machine tool, the vibration of the spindle being detected by a spindle measurement sensor, and (b) time-series data of vibration of a table of the machine tool, the vibration of the table being detected by a table measurement sensor. 3. The machining environment measurement device according to claim 1 , wherein the analysis unit is configured to compute the feature data indicative of the feature of the time-series data through spectral analysis. 4. The machining environment measurement device according to claim 1 , wherein the display unit is configured to display a score for a location of the machine tool where the detected vibration occurs, the score being displayed with respect to a main frequency component of the detected vibration at the location of the machine tool. 5. The machining environment measurement device according to claim 1 , further comprising: a cause estimation data storage unit configured to store cause estimation data in advance, the cause estimation data associating a location at which a vibration is detected and a main frequency component of the vibration with a guidance related to a cause of the vibration; and a cause estimation unit configured to refer to the cause estimation data storage unit and estimate a cause of vibration on the basis of a result of analysis by the analysis unit, wherein the display unit is further configured to display a result of estimation of the cause of the vibration estimated by the cause estimation unit. 6. The machining environment measurement device according to claim 1 , wherein the data acquisition unit is further configured to acquire both (a) time-series data of vibration of the spindle of the machine tool, the vibration of the spindle being detected by a spindle measurement sensor, and (b) time-series data of vibration of a table of the machine tool, the vibration of the table being detected by a table measurement sensor. 7. The machining environment measurement device according to claim 6 , wherein the display unit is configured to display a score for the spindle, the holder or the table where the vibration occurs during the machining process, the score being displayed with respect to a frequency component of the detected vibration of the spindle, the holder, or the table where the vibration occurs during the machining process. 8. The machining environment measurement device according to claim 1 , wherein the parameters are vectors. 9. The machining environment measurement device according to claim 1 , wherein S Ai , S Vi and S Di are acceleration, speed and displacement, respectively, at the first frequency Si, and F Ai , F Vi , and F Di are acceleration, speed and displacement, respectively, at the second frequency Fi.

Assignees

Inventors

Classifications

  • for measuring features or for detecting a condition of machine parts, tools or workpieces (B23Q17/2428, B23Q17/2433 take precedence) · CPC title

  • B23Q17/12Primary

    for indicating or measuring vibration · CPC title

  • for measuring contours or curvatures, e.g. determining profile · CPC title

  • characterised by monitoring or safety (G05B19/19 takes precedence) · CPC title

  • Detect vibration, ultrasound · CPC title

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What does patent US11440152B2 cover?
A machining environment measurement device, which enables automatic identification of a vibration source which may cause defects in a machined surface based on pieces of vibration data without performing an actual machining process, includes a reference machining data storage unit that stores reference machining data computed based on time-series data of vibration measured in advance in an idea…
Who is the assignee on this patent?
Fanuc Corp
What technology area does this patent fall under?
Primary CPC classification B23Q17/12. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Sep 13 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).