Machining error decomposition and compensation of complicated surfaces by EMD method

•The compensation for systematic errors is the key to compensate machining errors.•Machining errors are decomposed into systematic and random errors by EMD method.•Systematic errors. are extracted by using autocorrelation and spectral analyses.•EMD machining error compensation method improved machin...

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Vydané v:Measurement : journal of the International Measurement Confederation Ročník 116; s. 341 - 349
Hlavní autori: Chen, Yueping, Tang, Hui, Tang, Qingchun, Zhang, Anshe, Chen, Dawei, Li, Kehui
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Elsevier Ltd 01.02.2018
Elsevier Science Ltd
Predmet:
Automotive parts
Empirical analysis
empirical mode decomposition (EMD)
Error compensation
Machinery industry
Machining
Machining errors
Numerical controls
Random errors
Surface parts
Systematic errors
Technology
Surface parts
empirical mode decomposition (EMD)
Machining errors
Error compensation
ISSN:0263-2241, 1873-412X
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Popis
Shrnutí:•The compensation for systematic errors is the key to compensate machining errors.•Machining errors are decomposed into systematic and random errors by EMD method.•Systematic errors. are extracted by using autocorrelation and spectral analyses.•EMD machining error compensation method improved machining accuracy significantly. Complex surface parts are widely used in aerospace, automotive, and precision molds. Modern manufacturing aims to improve the machining accuracy and efficiency of these parts. The machining accuracy of surface parts can be significantly improved using a series of error compensation technologies to compensate for machining errors. Based on the analysis of the measurement data of the parts, empirical mode decomposition (EMD) method is used to decompose the machining errors into systematic and random errors, which are used to modify the numerical control (NC) codes to compensate for the systematic errors of the surface parts. An example of a complicated surface part proves that the method proposed in the current study can effectively improve the machining accuracy of surface parts.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2017.11.027