Deburring of Resin Molded Products by Sensorless Shape-Tracing Deburring Technology (On the Principle of Sensorless Shape-Tracing Deburring)
Nihon Shoryoku Kikai Co., Ltd.
173 Fukujima-cho, Isezaki, Gumma 372-0826, Japan
This study aims to automate deburring resin workpieces as generated in injection molding by an articulated robot using sensorless shape-tracing deburring technology. Because resin workpieces largely vary in their individual shape differences, as well as installation errors, it is difficult for an articulated robot, which operates solely based on the given teaching in general use, to precisely deburr the workpieces owing to its precision deficiency. In this study, a deburring technology called “shape-tracing deburring” was developed to prevent a tool from breaking into a workpiece while absorbing any positional errors, based on a mechanism capable of mechanically maintaining the force between the tool and the workpiece constant in relation to the shape of the latter. In this way, an articulated robot can stably deburr the workpiece by following any changes in the workpiece shape. In this report, the principle and system of the shape-tracing deburring technology capable of mechanically tracing the workpiece shape without a sensor are discussed. Furthermore, the effectiveness of the developed shape-tracing deburring technology is demonstrated through an example of deburring a resin molded article with an actual cutter complete with a shape-tracing part.
-  G. Seliger, L.-H. Hsieh, and G. Spur, “Sensor-Aided Programming and Movement Adaptation for Robot-Guided Deburring of Castings,” CIRP Annals, Vol.40, Issue 1, pp. 487-490, 1991.
-  H. Kakoi, K. Yanagihara, K. Akashi, and K. Tsuchiya, “Development of Vertical Articulated Robot Deburring System by Using Sensor Feedback,” IOP Conf. Series, Materials Science and Engineering, Vol.886, 012035, 2020.
-  E. Villagrossi, N. Pedrocchi, M. Beschi, and L. M. Tosatti, “A human mimicking control strategy for robotic deburring of hard materials,” Int. J. of Computer Integrated Manufacturing, Vol.31, No.9, pp. 869-880, 2018.
-  N. Asakawa, Y. Kuriyama, and M. Okada, “Automatic Path Generation for a Deburring Robot Using Image Processing,” Proc. of 17th Int. Conf. on Mechatronics Technology, pp. 289-294, 2013.
-  Z, Wang et al., “Real-Time Identification of Burr Size and Location for Robotic Deburring Process,” United States Patent Application 20200290207, 2020.
-  F. Li, Y. Xue, Z. Zhang, W. Song, and J. Xiang, “Optimization of Grinding Parameters for the Workpiece Surface and Material Removal Rate in the Belt Grinding Process for Polishing and Deburring of 45 Steel,” Appl. Sci., Vol.10, 6314, 2020.
-  V. Tomas, P. Jozef, K. Mario, and B. Ivan, “The wear measurement process of ball nose end mill in the copy milling operations,” Procedia Engineering, Vol.69, pp. 1038-1047, 2014.
-  A. Tanaka, “Deburring device and cutter blade,” Japanese Patent No.4169769, 2006.
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 International License.