Cutting Data Modeling Based on Artificial Neural Network

Abstract:

Cutting force is usually obtained based on the experimental data which is conducted under certain cutting condition with certain cutters because metal cutting mechanism study is not mature. As the data are numerous, in different types, and the relationships between them are complex, the commercial database can be used directly. A new approach based on ANN is introduced here for unstructured and discrete data modeling, which transfers the unstructured and discrete data into ANN topology and net weight matrix. In this paper, the experimental data of union cutting force modification are taken as examples for verifying the feasibility of the ANN model. The ANN modeling, inputs, outputs and ANN training are discussed. Compared with other modeling approaches, this model is general and can process discrete data with unified data structure. This model can be used for cutting force calculation as well as intelligent and general CAPP.

• Periodical: Key Engineering Materials (Volume 620)
• Pages: 544-549
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.620.544
• Online since: August 2014
• Authors: Jun Wang*, Feng Qin Yu, Feng He Wu
• Keywords: Artificial Intelligence (AI), Artificial Neural Network (ANN), CAPP, Cutting Force, Data Modeling

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