Method and device for monitoring the wear condition of a tool
First Claim
1. A method of monitoring the wear condition of a milling tool (2) during the machining of a metal workpiece (4) comprising the steps of(a) detecting vibrations of both the milling tool (2) and the metal workpiece (4) at varying cutting, engagement and/or contact conditions between the milling tool (2) and the workpiece (4) at different locations along the workpiece (4), (b) generating measuring signals from the detected vibrations, (c) transforming the measuring signals into wavelet coefficients through wavelet functions, (d) calculating wear condition parameters for the milling tool (2) from the resultant wavelet coefficients, (e) repeating the performance of steps (a) through (c) at at least another location along one of the metal workpiece (4) or a different workpiece and the milling tool (2) under comparable cutting, engagement and/or contact conditions, and (f) evaluating the wear condition of the workpiece on the basis of changes in the wear condition parameter of step (d) to that resulting from the performance of step (e).
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Accused Products
Abstract
The wear condition of a milling tool is determined by detecting vibrations of the milling tool and a metal workpiece and generating wavelet coefficients which are utilized to evaluate the wear condition of the workpiece. The vibrations are detected at several locations along the metal workpiece or upon a different workpiece under comparable conditions and evaluating workpiece wear on the basis of changes in wear condition parameters at different locations and/or comparable cutting engagement between the milling tool and similar or different workpieces.
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Citations
26 Claims
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1. A method of monitoring the wear condition of a milling tool (2) during the machining of a metal workpiece (4) comprising the steps of
(a) detecting vibrations of both the milling tool (2) and the metal workpiece (4) at varying cutting, engagement and/or contact conditions between the milling tool (2) and the workpiece (4) at different locations along the workpiece (4), (b) generating measuring signals from the detected vibrations, (c) transforming the measuring signals into wavelet coefficients through wavelet functions, (d) calculating wear condition parameters for the milling tool (2) from the resultant wavelet coefficients, (e) repeating the performance of steps (a) through (c) at at least another location along one of the metal workpiece (4) or a different workpiece and the milling tool (2) under comparable cutting, engagement and/or contact conditions, and (f) evaluating the wear condition of the workpiece on the basis of changes in the wear condition parameter of step (d) to that resulting from the performance of step (e).
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13. A method of monitoring the wear condition of a milling tool (2) during the machining of a metal workpiece (4) comprising the steps of
(a) detecting vibrations of both the milling tool (2) and the metal workpiece (4) at varying cutting, engagement and/or contact conditions between the milling tool (2) and the workpiece (4) at different locations along the workpiece (4), (b) generating measuring signals from the detected vibrations, (c) transforming the measuring signals into wavelet coefficients through wavelet functions, (d) calculating wear condition parameters for the milling tool (2) from the resultant wavelet coefficients, (e) repeating the performance of steps (a) through (c) at at least another location along a different workpiece and the milling tool (2) under comparable cutting, engagement and/or contact conditions, and (f) evaluating the wear condition of the workpiece on the basis of changes in the wear condition parameter of step (d) to one of (a) an initial tool parameter and (b) a parameter at comparable cutting, engagement and/or contact conditions of one of a (a) similar and (b) different workpiece (4).
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15. A method of monitoring the wear condition of a milling tool (2) during the machining of a metal workpiece (4) comprising the steps of
(a) detecting vibrations of both the milling tool (2) and the metal workpiece (4) at varying cutting, engagement and/or contact conditions between the milling tool (2) and the workpiece (4) at different locations along the workpiece (4), (b) generating measuring signals from the detected vibrations, (c) transforming the measuring signals into wavelet coefficients through wavelet functions, (d) calculating wear condition parameters for the milling tool (2) from the resultant wavelet coefficients, (e) repeating the performance of steps (a) through (c) at at least another location along one of the metal workpiece (4) or a different workpiece and the milling tool (2) under comparable cutting, engagement and/or contact conditions, and (f) evaluating the wear condition of the workpiece on the basis of changes in the wear condition parameter of step (d) at the different locations of step (a) with comparable cutting, engagement and/or contact conditions of one of (a) a similar and (b) different workpiece.
Specification