Machining error decomposition and compensation of complicated surfaces by EMD method
| Autor: | Kehui Li, Yue-Ping Chen, Hui Tang, Da-Wei Chen, An-She Zhang, Qingchun Tang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Surface (mathematics)
0209 industrial biotechnology Engineering drawing Engineering Series (mathematics) business.industry Applied Mathematics Automotive industry Mechanical engineering 02 engineering and technology Condensed Matter Physics Hilbert–Huang transform Compensation (engineering) 020901 industrial engineering & automation Machining 0202 electrical engineering electronic engineering information engineering Numerical control 020201 artificial intelligence & image processing Electrical and Electronic Engineering Aerospace business Instrumentation |
| Zdroj: | Measurement. 116:341-349 |
| ISSN: | 0263-2241 |
| DOI: | 10.1016/j.measurement.2017.11.027 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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