- July 05, 2016
July 5, 2016 — NUM (NUM Taiwan Ltd) and Taiwan’s Feng Chia University have jointly developed an intelligent CNC gear hobbing machine with an advanced electronic gearbox that completely eliminates the time overheads of changing mechanical gears on traditional machine tools.
Development of the machine began in 2014, under the initiative of Professor Ruihong Xu, who works for the Bachelor’s Program in Precision System Design at the College of Engineering in Feng Chia University. Professor Xu is responsible for a number of industry-university collaborative research and development projects at the university.
Following discussions between NUM and Professor Xu about the potential machine control possibilities of its Flexium + CNC system, the company donated a series of CNC controllers to the university in 2014. With the assistance of other providers, the intelligent CNC gear hobbing machine, which utilizes five-axis electronic gear synchronization techniques, is now complete. It is currently being exhibited in the first floor laboratory of Feng Chia University’s College of Engineering.
The open architecture of NUM’s Flexium+ CNC makes it an ideal platform for research and development projects such as this. The human-machine interface (HMI), together with loop programs for gear machining, have been specially created by Professor Xu, who was previously in charge of HMI development at HOTA Industrial Mfg. Co., Ltd. He continues to foster tight collaboration between the university, HOTA, Hiwin Technologies Corp. and NUM.
Developed under the Industry 4.0 planning and design concept, the gear hobbing machine offers expansion capabilities through use of a CNC-PC communication framework. Facilities for monitoring parameters such as spindle speed, temperature and motor current have been added. Transmission of network data, calculation of cloud data, analysis and prediction can be performed via suitably equipped tool wear monitoring systems. This facilitates online compensation and product measurement, to provide optimal cutting parameters and precision.