Design and Development of the Self-Adaptive Tool Path Decision-Making CNC Platform

Lin, Zhiwei; Guo, Ruifeng; Chen, Long; Geng, C.; Wang, Feng

doi:10.1109/icbeb.2012.126

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…Improving machining accuracy of the machine tool must start from the design stage of the NC machine tool, adopt the drive device with outstanding dynamic performance, and use advanced control technology to improve anti-interference ability of the servo system [5][6][7][8][9]. Structural optimization design can calculate the durability and maintainability of NC machine tools, and design reliability by calculating the space error model of XYZ CNC machine tools by first-order and secondorder matrices, Monte Carlo method, etc.…”

Section: Mechanism Optimizationmentioning

confidence: 99%

Optimization of Manufacturing Production and Process

Yu¹

2021

Smart Manufacturing - When Artificial Intelligence Meets the Internet of Things

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This chapter mainly introduces production processing optimization, especially for machining processing optimization on CNC. The sensor collects the original vibration data in time domain and converts them to the main feature vector using signal processing technologies, such as fast Fourier transform (FFT), short-time Fourier transform (STFT), and wavelet packet in the 5G AI edge computing. Subsequently, the main feature will be sent for cloud computing using genetic programming, Space Vector Machine (SVM), etc. to obtain optimization results. The optimization parameters in this work include machining spindle rotation velocity, cutting speed, and cutting depth, while, the result is the optimized main spindle rotation speed range of CNC, which met machining roughness requirements. Finally, the relationship between vibration velocity and machining quality is further studied to optimize the three operational parameters.

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