Machining parameter control based on acoustic monitoring

US2016297044A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016297044-A1
Application numberUS-201615094574-A
CountryUS
Kind codeA1
Filing dateApr 8, 2016
Priority dateApr 10, 2015
Publication dateOct 13, 2016
Grant date

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

Official abstract text for this publication.

A computing devices sends control signals to a machine tool to machine a component to form a feature in the component according to the control signals. The computing device monitors, while machining the feature into the component with the machine tool, acoustic signals produced by the machining of the component by the machine tool. During the machining of the feature into the component, the computing device modifies at least one machining parameter defined by the control signals based on the monitored acoustic signals. The computing device continues to send the modified control signals to the machine tool to machine the feature into the component according to the modified machining parameter.

First claim

Opening claim text (preview).

What is claimed is: 1 . A method comprising: sending, by a computing device, control signals to a machine tool to machine a component to form a feature in the component according to the control signals; monitoring, by the computing device, while machining the feature into the component with the machine tool, acoustic signals produced by the machining of the component by the machine tool; during the machining of the feature into the component, modifying, by the computing device, at least one machining parameter defined by the control signals based on the monitored acoustic signals; and sending, by the computing device, the modified control signals to the machine tool to machine the feature into the component according to the modified machining parameter. 2 . The method of claim 1 , further comprising selecting, by the computing device, the at least one machining parameter to mitigate machining resonance or machining resonance induced chatter during the machining of the component by the machine tool. 3 . The method of claim 1 , wherein the control signals are based on a predetermined design of the feature and the monitored acoustic signals. 4 . The method of claim 1 , further comprising: monitoring, by the computing device, while machining the feature into the component with the machine tool, vibrations produced by the machining of the component by the machine tool, wherein modifying, by the computing device, at least one machining parameter defined by the control signals is further based on the monitored vibrations. 5 . The method of claim 1 , wherein the modified parameters are selected to avoid harmonic frequencies of the component as partially machined. 6 . The method of claim 1 , wherein machining the component with the machine tool includes at least one of: milling; drilling; blisk machining; high speed disk manufacturing; grinding; sanding; turning; thin-wall structure manufacturing; and blade manufacturing. 7 . The method of claim 1 , wherein the at least one parameter includes one or more of: machining rotational velocity; machining feed rate; machining rotational force; machining feed force; and machining depth. 8 . The method of claim 1 , wherein the component is a thin-walled component defining thicknesses of less than about 0.01 inches. 9 . The method of claim 1 , wherein the component is a blade airfoil. 10 . A system comprising: a machine tool: and a computing device, wherein the computing device is configured to: send control signals to the machine tool for causing the machine tool to machine a component to form a feature in the component; monitor, while the machine tool machines the feature into the component, acoustic signals of the machine tool used to machine the component; during the machining of the feature into the component, modify at least one machining parameter defined by the control signals based on the monitored acoustic signals; and send the modified control signals to the machine tool to machine the feature into the component according to the modified machining parameter. 11 . The system of claim 10 , wherein the computing device is further configured to select the at least one machining parameter to mitigate machining resonance or machining resonance induced chatter during the machining of the component by the machine tool. 12 . The system of claim 10 , wherein the control signals are based on a predetermined design of the feature and the monitored acoustic signals. 13 . The system of claim 10 , wherein the computing device is further configured to: monitor, while machining the feature into the component with the machine tool, vibrations produced by the machining of the component by the machine tool, wherein modifying, by the computing device, at least one machining parameter defined by the control signals is further based on the monitored vibrations. 14 . The system of claim 10 , wherein the modified parameters are selected harmonic frequencies of the component as partially machined. 15 . The system of claim 10 , wherein the machine tool includes at least one of: mill; drill; blisk machine; high speed disk manufacturing device; grinder; sander; lathe; thin-wall structure manufacturing device; and blade manufacturing device. 16 . The system of claim 10 , wherein the at least one parameter includes one or more of: machining rotational velocity; machining feed rate; machining rotational force; machining teed force; and machining depth. 17 . The system of claim 10 , further comprising the component, wherein the component is a thin-walled component providing thicknesses of less than about 0.01 inches. 18 . The system of claim 10 , further comprising an acoustic sensor, wherein the computing device monitors the acoustic signals via an acoustic sensor. 19 . The system of claim 10 , further comprising the component, wherein the component is a blade airfoil. 20 . A non-transitory computer-readable data storage medium having instructions stored thereon that, when executed by one or more processors of a computing device, cause the computing device to: send control signals to a machine tool for causing the machine tool to machine a component to form a feature in the component; monitor, while the machine tool machines the feature in the component, acoustic signals of the machine tool used to machine the component; during the machining of the feature into the component, modify at least one machining parameter defined by the control signals based on the monitored acoustic signals; and send the modified control signals to the machine tool to machine the feature into the component according to the modified machining parameter.

Assignees

Inventors

Classifications

  • characterised by control arrangements for compensation, e.g. for backlash, overshoot, tool offset, tool wear, temperature, machine construction errors, load, inertia (G05B19/19, G05B19/41 take precedence) · CPC title

  • Detection or control of chatter (B23Q15/12 takes precedence) · CPC title

  • Vibration of machine · CPC title

  • Compensation periodical disturbance, like chatter, non-circular workpiece · CPC title

  • by measuring noise · CPC title

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What does patent US2016297044A1 cover?
A computing devices sends control signals to a machine tool to machine a component to form a feature in the component according to the control signals. The computing device monitors, while machining the feature into the component with the machine tool, acoustic signals produced by the machining of the component by the machine tool. During the machining of the feature into the component, the com…
Who is the assignee on this patent?
Rolls Royce Corp
What technology area does this patent fall under?
Primary CPC classification B23Q17/0976. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Thu Oct 13 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).