Feature-Based and Process-Based Manufacturing Cost Estimation

نویسندگان

چکیده

The demand for mass custom parts is increasing, estimating the cost of to a high degree efficiency matter great concern most manufacturing companies. Under premise machining operations, estimation based on features and processes yields accuracy, but it necessitates accurately identifying part’s establishing relationship between feature cost. Accordingly, recognition method syntactic pattern proposed herein. provides more precise definition easily describes complex using constraints. To establish relationships geometric features, processing modes, cost, this study proposes describing mode quantities adopts deep learning technology By comparing back propagation (BP) network convolutional neural (CNN) can be concluded that CNN “RMSProp” optimizer exhibits higher accuracy.

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ژورنال

عنوان ژورنال: Machines

سال: 2022

ISSN: ['2075-1702']

DOI: https://doi.org/10.3390/machines10050319