During the cutting process, it is necessary to monitor the wear of the tool and change the tool in time to improve the processing quality and save costs. This paper proposes a set of real-time intelligent monitoring system with accuracy, real-time, synchronization, integration and scalability, and introduces environment-related sensors. In order to adapt to the actual processing process, the performance of the monitoring system is evaluated. A performance evaluation experimental hardware installation model is designed, and a performance evaluation method is provided for the collected multi-source heterogeneous signal data with large frequency differences and complex waveforms, which has high practical value.
Conventional cutting fluid is commonly used in the cutting process of iron-based superalloy. However, cutting fluid is easy to cause environmental pollution and cutting costs increasement. In this paper, turning experiments on superalloy GH2132 were carried out with three different coolants, namely, cutting fluid, liquid nitrogen (LN2), and liquid carbon dioxide (LCO2). The cutting force, specific cutting energy, surface roughness and cutting ambient air particulate concentration were analysed. The results show that, compared with cutting fluid, LN2 is more effective in reducing the cutting force. The specific cutting energy under LN2 is reduced by 25.3% at v = 40 m/min, ap = 0.3 mm and f = 0.1 mm/r. When the feed rate is 0.2 mm/r, the surface roughness under LCO2 can be reduced by 42.4% than the cutting fluid. In addition, the use of LN2 and LCO2 can reduce the concentration of PM2.5 by 64.1% and 81.7%, respectively.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.