Abstract
The 21st century manufacturing technology is unimagined without the various CAM (Computer Aided Manufacturing) toolpath generation programs. The aims of developing the toolpath strategies which are offered by the cutting control software is to ensure the longest possible tool lifetime and high efficiency of the cutting method. In this paper, the goal is to compare the efficiency of the 3 types of tool path strategies in the very special field of micro-milling of ceramic materials. The dimensional distortion of the manufactured geometries served to draw the Taylor curve for describing the wearing progress of the cutting tool helping to determine the worn-in, normal and wear out stages. These isolations allow to separate the connected high-frequency vibration measurements as well. Applying the novel feature selection technique of the authors, the basis for the vibration based micro-milling tool condition monitoring for ceramics cutting is presented for different toolpath strategies. It resulted in the identification of the most relevant vibration signal features and the presentation of the identified and automatically separated tool wearing stages as well.
Highlights
Machining of rigid materials with regular cutting-edge geometry is one of the main trends in the 21st century
A similar phenomenon can be observed for the waveform path (Figure 10), where the amplitude measured at the last geometry of the Taylor curve is included into the normal tool wear range
The results represents clearly that the introduced methodology works well; it was found that the most relevant signal features and the original, “pure” signal measurements mirrors the identified behaviour, there is an open floor for realizing vibration-based monitoring and supervision of the micro-milling of ceramics
Summary
Machining of rigid materials with regular cutting-edge geometry is one of the main trends in the 21st century Ceramics are such rigid materials that are employed more and more widely as raw materials thanks to their high hardness and thermal resistance [1], [2]. An important part of tool life analysis is the investigation of vibrations generated during cutting method. Frequency spectrum analysis was executed to establish for example the tool wear and chatter frequency characterization Based on this method, of the cutting process that are clearly not visible in the time domain can be revealed [10]. Qi Yao et al [9] examined the relationship between cutting force amplitude, frequency and vibration displacement and it is ascertained by using a neural network method. The three most popular tool paths (strategies: wave form, cycloid, chained) are analysed as described in the three sections
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