QR Kodea

Tool Wear Monitoring for Complex Part Milling Based on Deep Learning

Tool wear monitoring is necessary for cost reduction and productivity improvement in the machining industry. Machine learning has been proven to be an effective means of tool wear monitoring. Feature engineering is the core of the machining learning model. In complex parts milling, cutting condition...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Xiaodong Zhang, Ce Han, Ming Luo, Dinghua Zhang
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: MDPI AG 2020-10-01
Saila:Applied Sciences
Gaiak:
Sarrera elektronikoa:https://www.mdpi.com/2076-3417/10/19/6916
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!