Analysis on machine tool systems using spindle vibration monitoring for automatic tool changer

Shang Liang Chen, Yin Ting Cheng, Chin Fa Su

Research output: Contribution to journalArticle

3 Citations (Scopus)

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.

Original languageEnglish
Article number15620331
JournalAdvances in Mechanical Engineering
Volume7
Issue number12
DOIs
Publication statusPublished - 2015 Dec

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

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