The ability of cutting wood is one of the ancient arts of the human kind. During years the knowledge and experiences matures the wood processing techniques and nowadays technologies allow processing wood with very high cutting velocities and refined qualities. However due to various factors the full understanding of the physics of wood cutting, tool-workpiece interaction or surface formation is not yet achieved. The state-of-the-art technologies are mostly an effect of the thousands years of experiences and empirical improvements. A further innovation or optimization of the recent techniques would require advances of the knowledge related to the bases of the cutting process. The goal of this project was to develop an experimental platform supporting research on the wood machining. Three-axis computer numerical control machine has been redesigned to allow a simultaneous control and monitoring of the process. The controller is based on the advanced CompactRIO technology developed by the National Instruments. It combines an embedded real-time processor, a high-performance field-programmable gate array (FPGA) and set of the specialized modules. The processor supervises three motion servos, acquires signals and adaptively control the process based on the defined algorithm. The hardware configuration is very flexible and allows real-time analysis, post-processing, data logging, or communication to a networked host computer. Sensors monitoring the process are scanned simultaneously and include cutting forces, vibrations, sound, temperature, power consumption of the spindle and each servo, as well as other signals. LabView real time has been used as the programming platform. Such hardware-software arrangement permits a rapid prototyping of the innovative monitoring/control systems dedicated for specific applications. The experimental platform is a great tool to be used for advance understanding of the wood cutting process and to develop novel techniques of the wood machining.
Experimental platform for advanced wood machining research
Sandak;Jakub
2009
Abstract
The ability of cutting wood is one of the ancient arts of the human kind. During years the knowledge and experiences matures the wood processing techniques and nowadays technologies allow processing wood with very high cutting velocities and refined qualities. However due to various factors the full understanding of the physics of wood cutting, tool-workpiece interaction or surface formation is not yet achieved. The state-of-the-art technologies are mostly an effect of the thousands years of experiences and empirical improvements. A further innovation or optimization of the recent techniques would require advances of the knowledge related to the bases of the cutting process. The goal of this project was to develop an experimental platform supporting research on the wood machining. Three-axis computer numerical control machine has been redesigned to allow a simultaneous control and monitoring of the process. The controller is based on the advanced CompactRIO technology developed by the National Instruments. It combines an embedded real-time processor, a high-performance field-programmable gate array (FPGA) and set of the specialized modules. The processor supervises three motion servos, acquires signals and adaptively control the process based on the defined algorithm. The hardware configuration is very flexible and allows real-time analysis, post-processing, data logging, or communication to a networked host computer. Sensors monitoring the process are scanned simultaneously and include cutting forces, vibrations, sound, temperature, power consumption of the spindle and each servo, as well as other signals. LabView real time has been used as the programming platform. Such hardware-software arrangement permits a rapid prototyping of the innovative monitoring/control systems dedicated for specific applications. The experimental platform is a great tool to be used for advance understanding of the wood cutting process and to develop novel techniques of the wood machining.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
