Real-Time Cutting Force/Torque Prediction During Turning

Autor:	Masaya Takei, Yasuhiro Kakinuma, Kazuto Enomoto
Rok vydání:	2012
Předmět:	Computer science Control theory Mechanical Engineering Cutting force Disturbance observer Torque Torque sensor Shear angle Industrial and Manufacturing Engineering Friction torque
Zdroj:	International Journal of Automation Technology. 6:669-674
ISSN:	1883-8022 1881-7629
DOI:	10.20965/ijat.2012.p0669
Popis:	The automation of machining processes requires highly accurate process monitoring. However, the use of additional sensors leads to a significant increase in the cost and reduces the stiffness and reliability of mechanical systems. Hence, we propose a system called the cutting force observer, which uses a sensor-less and real-time cutting force estimation methodology based on the disturbance observer theory. Monitoring methods using the cutting force observer may enhance the productivity during turning. One of the parameters that significantly affect the cutting process is the shear angle. The determination of the shear angle is very important as it can be used for identifying the machining conditions. In this study, an external sensor-less monitoring system of the shear angle during turning is developed, and its performance is evaluated.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a4c71467f9f57adcd3175790eb5fd092 https://doi.org/10.20965/ijat.2012.p0669 Zobrazit plný text záznamu