Výsledky vyhledávání - "Syh-Shiuh Yeh"

Akademický článek

Robust Driving Control Design for Precise Positional Motions of Permanent Magnet Synchronous Motor Driven Rotary Machines with Position-Dependent Periodic Disturbances

Autor: Syh-Shiuh Yeh, Zhi-Hong Liu

Publikováno v: Machines, Vol 12, Iss 11, p 771 (2024)

Position-dependent periodic disturbances often limit the accuracy and smoothness of the positional motion of permanent magnet synchronous motor (PMSM)-driven rotary machines. Because the period of these disturbances varies with the motion velocity of

Externí odkaz: https://doaj.org/article/606d64be95a9461faa35109b752356dc

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Akademický článek

Development of Pitch Cycle-Based Iterative Learning Contour Control for Thread Milling Operations in CNC Machine Tools

Autor: Syh-Shiuh Yeh, Wei-Jia Jiang

Publikováno v: Applied Sciences, Vol 13, Iss 11, p 6447 (2023)

The helical contour motion accuracy of feed drive axes is important for thread milling operations in computer numerical control (CNC) machine tools. However, the motion dynamics and external disturbances significantly affect the contour motion result

Externí odkaz: https://doaj.org/article/3b0ec8a031824161b0f6100f3d5f624a

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Akademický článek

Development of Insert Condition Classification System for CNC Lathes Using Power Spectral Density Distribution of Accelerometer Vibration Signals

Autor: Yi-Wen Huang, Syh-Shiuh Yeh

Publikováno v: Sensors, Vol 20, Iss 20, p 5907 (2020)

Insert conditions significantly influence the product quality and manufacturing efficiency of lathe machining. This study used the power spectral density distribution of the vibration signals of a lathe machining accelerometer to design an insert con

Externí odkaz: https://doaj.org/article/b84cc58ed6914b4684e90acd31c4223a

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Akademický článek

Cutting Insert and Parameter Optimization for Turning Based on Artificial Neural Networks and a Genetic Algorithm

Autor: Bolivar Solarte-Pardo, Diego Hidalgo, Syh-Shiuh Yeh

Publikováno v: Applied Sciences, Vol 9, Iss 3, p 479 (2019)

The objective of this present study is to develop a system to optimize cutting insert selection and cutting parameters. The proposed approach addresses turning processes that use technical information from a tool supplier. The proposed system is base

Externí odkaz: https://doaj.org/article/93f8bf2a4d0b4fd3af2cb781da5c22bb

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Akademický článek

Using the Segmented Iterative Learning Control Method to Generate Volumetric Error-Compensated Part Programs for Three-Axis CNC Milling Machine Tools

Autor: Ying-Chen Lu, Syh-Shiuh Yeh

Publikováno v: Journal of Manufacturing and Materials Processing, Vol 2, Iss 3, p 53 (2018)

This study proposes using the iterative learning control method to adjust the volumetric error-compensated tool path, where the working volume motion accuracy of three-axis computerized numerical control (CNC) milling machine tools is increased by se

Externí odkaz: https://doaj.org/article/5439d793fbeb491592e78b482e281a22

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