Real-Time Cross-Dataset Quality Production Assessment in Industrial Laser Cutting Machines

Author(s):  
Nicola Peghini ◽  
Andrea Zignoli ◽  
Davide Gandolfi ◽  
Paolo Rota ◽  
Paolo Bosetti
2021 ◽  
Vol 136 ◽  
pp. 106783
Author(s):  
Dinh-Tu Nguyen ◽  
Jeng-Rong Ho ◽  
Pi-Cheng Tung ◽  
Chih-Kuang Lin

2020 ◽  
Vol 32 (4) ◽  
pp. 042016
Author(s):  
Matteo Pacher ◽  
Luca Franceschetti ◽  
Silvia C. Strada ◽  
Mara Tanelli ◽  
Sergio M. Savaresi ◽  
...  

Proceedings ◽  
2019 ◽  
Vol 42 (1) ◽  
pp. 44
Author(s):  
Ana C. Balarin de Andrade ◽  
Paulo R. Aguiar ◽  
Martin A. Aulestia Viera ◽  
Felipe A. Alexandre ◽  
Pedro Oliveira Junior ◽  
...  

Advanced ceramics are widely used in industry due to their unique properties. However, the machining of ceramic components by conventional methods is difficult due to their high level of hardness and brittleness. In this sense, laser beam machining (LBM) is presented as an alternative to conventional methods, enabling the machining of workpieces through more accurate and less invasive techniques. Despite the advantages of laser machining, the process still needs to be studied in detail, as advanced ceramic machining is considered a stochastic process. Thus, real-time monitoring systems are required in order to optimize the ceramic laser machining. Therefore, this paper proposes a novel method for monitoring the cutting kerf in the laser cutting process of ceramic components using a low-cost piezoelectric transducer (PZT) and digital signal processing. Tests were performed on the surface of an alumina ceramic workpiece under different machining conditions. The cutting kerf was measured by a digital microscope and the raw signals from the PZT transducer were collected at a sampling rate of 2 MHz. Time domain and frequency domain analyses were performed in order to find a frequency band that best correlates with the process conditions. Finally, a linear regression was calculated in order to correlate the PZT signal and the measured kerf. The results showed that the piezoelectric transducer was sensitive to the acoustic activity generated during the process, allowing the real-time monitoring of the cutting kerf. Thus, the approach proposed in this paper can be used efficiently in the monitoring of the laser cutting process.


2019 ◽  
Vol 31 (4) ◽  
pp. 042008 ◽  
Author(s):  
Kensho Ogata ◽  
Keisuke Nagato ◽  
Yusuke Ito ◽  
Hiro Nakano ◽  
Tetsuya Hamaguchi ◽  
...  

2016 ◽  
Vol 237 ◽  
pp. 181-187 ◽  
Author(s):  
Hitoshi Ozaki ◽  
Minh Quang Le ◽  
Hiroshi Kawakami ◽  
Jippei Suzuki ◽  
Yousuke Uemura ◽  
...  

2014 ◽  
Vol 1006-1007 ◽  
pp. 340-347
Author(s):  
Qiu Xu Hu ◽  
Yue Tong Xu ◽  
Zheng Tuo Wang ◽  
Meng Yang ◽  
Qing Yuan Wang ◽  
...  

According to the confusion effect of processing route drawing, few sampling points and contradiction between timing accuracy and system fluency of Windows system in high-speed CNC real-time plotting process, this paper presents a method based on Windows environment to achieve real-time plotting goal of the machining contour in high-speed CNC laser cutting process by pretreating G codes and interpolation algorithm improvement. Experimental research was implemented and this method has already been successfully applied to practical production. Comparing to traditional real-time plotting method, this method can not only achieve faster real-time plotting, but also ensure accurate graphic drawing quality and meet the demand of practical circumstances. This method, put forward by the author in addressing real-time plotting problem of laser cutting, can be equally applied to other two-dimensional high-speed cutting occasions.


1999 ◽  
Author(s):  
Xiaolan Tang ◽  
Shimin Li ◽  
Xinjun Zhou ◽  
Qiong Xie

2021 ◽  
Vol 54 (1) ◽  
pp. 1230-1235
Author(s):  
Matteo Pacher ◽  
Silvia Strada ◽  
Mara Tanelli ◽  
Barbara Previtali ◽  
Sergio M. Savaresi
Keyword(s):  

Procedia CIRP ◽  
2020 ◽  
Vol 94 ◽  
pp. 499-504 ◽  
Author(s):  
Nikita Levichev ◽  
Gonçalo Costa Rodrigues ◽  
Joost R. Duflou

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