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- W3127249214 abstract "One of the important values of Industry 4.0 is to integrate people’s needs into the manufacture of enhanced products, systems, and services to achieve greater levels of product customization. This paper presents a prediction method for predicting screw process parameters; taking crystalline and non-crystalline polymers as the molding material, when there is a lack of sufficient historical screw process data to establish a data-driven method, using various screws and polymer materials to predict tool life under different cutting conditions is a challenge. A screw life prediction method is proposed based on the mixed compound screw process parameters method using a dynamic iteration work. To meet the requirements of mass production, this work proposes the combined application of the automatic virtual metrology (AVM) system with the recognizable performance evaluation (RPE) program. The method predicts the injection of compound screws by extracting given cutting conditions and related process parameters characteristics from the senor data by converting sampling inspections with measurement delays from real-time and online routine inspections to automatically and quickly complete method creation production goals." @default.
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- W3127249214 date "2021-02-08" @default.
- W3127249214 modified "2023-09-27" @default.
- W3127249214 title "Process Prediction for Compound Screws by Using Virtual Measurement and Recognizable Performance Evaluation" @default.
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- W3127249214 doi "https://doi.org/10.3390/app11041549" @default.
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