Development of turning process digital twin based on machine learning
نویسندگان
چکیده
Today, manufacturing technologies are developing within the Industry 4.0 concept, which is information introduction in manufacturing. One of most promising digital finding more and application a twin. A twin an ensemble mathematical models technological process, exchanges with its physical prototype real-time. The paper considers example formation several interconnected predictive modules, part structure turning process designed to predict quality processing, chip nature, cutting force. authors carried out three-factor experiment on hard 105WCr6 steel hardened 55 HRC. Used conducted experiment, described development diagnostic module based artificial neural networks. When model for predicting diagnosing revealed higher accuracy, adaptability, versatility developed online diagnostics determining surface type during processing uses actual value depth determined indirectly by force load drive. In this case, only signals sensors included subsystem CNC machine. As informative feature reflecting machine’s main motion drive, selected energy current signal spindle drive motor. study identified that possible due additional modules accuracy dimensions, geometric profile, tool wear.
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ژورنال
عنوان ژورنال: ?????? ????? ?????????????? ???????????????? ????????????
سال: 2021
ISSN: ['2220-7457']
DOI: https://doi.org/10.18323/2073-5073-2021-1-32-41