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Abstract
Recently, the intelligent systems of technology have become one of the major items in the development of machine tools. One crucial technology is the machinery status monitoring function, which is required for abnormal warnings and the improvement of cutting efficiency. During processing, the mobility act of the spindle unit determines the most frequent and important part such as automatic tool changer. The vibration detection system includes the development of hardware and software, such as vibration meter, signal acquisition card, data processing platform, and machine control program. Meanwhile, based on the difference between the mechanical configuration and the desired characteristics, it is difficult for a vibration detection system to directly choose the commercially available kits. For this reason, it was also selected as an item for self-development research, along with the exploration of a significant parametric study that is sufficient to represent the machine characteristics and states. However, we also launched the development of functional parts of the system simultaneously. Finally, we entered the conditions and the parameters generated from both the states and the characteristics into the developed system to verify its feasibility.
Keywords
Intelligent systems, machine tools, automatic tool changer, status monitoring, vibration detection
Date received: 14 September 2015; accepted: 9 November 2015
Academic Editor: Stephen D Prior
(ProQuest: ... denotes formulae omitted)
Introduction
Tool change is one of the most commonly performed actions in machine processing. During a tool change, the position of the tool change arm shifts, which causes the principal axle of the tool to be inappropriately positioned and, therefore, results in damages to the principal axle bearing or even problems such as knife falling or processing hole slanting due to a poor principal axle broaching action. Currently, in response to this problem, machine products in the market use an air pressure seal confirmation method to perform accuracy detection for the state of the principal axle holding tool. As this method requires a high precision in the mechanical component, it cannot be used for machines of any mode widely, and it does not possess the detection capability for inappropriate positioning of the principal axle during an automatic tool changer (ATC) process. Therefore, another solution must be sought.
Among the various factors of mechanical state detection, only vibration detection has...