Real-time measurement of temperature field in heavy-duty machine tools using fiber Bragg grating sensors and analysis of thermal shift errors

Huang, Jun; Zhou, Zude; Liu, Mingyao; Zhang, Erlong; Chi, Ming; Pham, Duc Truong; Ji, Chunqian

doi:10.1016/j.mechatronics.2015.04.004

Cited by 35 publications

(15 citation statements)

References 27 publications

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“…Huang, et al [99], measured the surface temperature field of a heavy-duty machine tool using the fiber Bragg grating temperature sensor (shown in Figure 21). Three fibers engraved with 27 fiber Bragg grating sensors were arranged on the bed, column, motor, spindle box, and gear box (shown in Figure 22).…”

Section: Thermal Error Measurement Of a Heavy-duty Cncmentioning

confidence: 99%

Actualities and Development of Heavy-Duty CNC Machine Tool Thermal Error Monitoring Technology

Zhou

Gui

Tan

et al. 2017

Chin. J. Mech. Eng.

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Thermal error monitoring technology is the key technological support to solve the thermal error problem of heavy-duty CNC (computer numerical control) machine tools. Currently, there are many review literatures introducing the thermal error research of CNC machine tools, but those mainly focus on the thermal issues in small and medium-sized CNC machine tools and seldom introduce thermal error monitoring technologies. This paper gives an overview of the research on the thermal error of CNC machine tools and emphasizes the study of thermal error of the heavy-duty CNC machine tool in three areas. These areas are the causes of thermal error of heavy-duty CNC machine tool and the issues with the temperature monitoring technology and thermal deformation monitoring technology. A new optical measurement technology called the ''fiber Bragg grating (FBG) distributed sensing technology'' for heavy-duty CNC machine tools is introduced in detail. This technology forms an intelligent sensing and monitoring system for heavy-duty CNC machine tools. This paper fills in the blank of this kind of review articles to guide the development of this industry field and opens up new areas of research on the heavy-duty CNC machine tool thermal error.

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Section: Thermal Error Measurement Of a Heavy-duty Cncmentioning

confidence: 99%

Actualities and Development of Heavy-Duty CNC Machine Tool Thermal Error Monitoring Technology

Zhou

Gui

Tan

et al. 2017

Chin. J. Mech. Eng.

View full text Add to dashboard Cite

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“…Presently, design of power divider especially for UWB is challenging in terms of operating bandwidth, phase equality and overall size. Several methods have been proposed in recent time, such as multi-section, multilayer with vias and DGS based [2][3][4]. An UWB power divider was proposed by three parallel coupled lines, a short-circuited shunt stub and a resistor [5].…”

Section: The Us-federal Communication Commission (Us-fcc)mentioning

confidence: 99%

A wide‐range demodulation method for FBG sensor

Chen

Shi

Lei

et al. 2016

Micro & Optical Tech Letters

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The principle, structure design, and experimental setup of a fiber Bragg grating (FBG) sensor based on matching grating are introduced. The FBG sensor requires several fiber gratings to demodulate. This study proposes a simple signal detection method to demodulate the resonance wavelength shift of the FBG. Photodiodes convert the reflected light signal of every fiber grating into electrical signal. The reflected light signals are then collected by a computer through a data collection box. The physical quantity is reported in real time according to the calibrated data. This method has a wider range of demodulation and displays the drift of center wavelength of sensor FBG in real time. The temperature/strain cross-sensitivity issue of FBG sensor is solved to some extent due to the same temperature drift of the same type of FBG. Experimental results show that the system has a wavelength measurement error of less than 0.009 nm, and the corresponding microstrain measurement error is less than 7.5 le.ABSTRACT: A 3dB broadband power divider has been designed using multi-mode resonator (MMR) technique. It resonates in four different modes of frequencies. Out of these, three of them are responsible for broadening the operating band, which may be controlled precisely by the impedance ratio of the resonator. It shows an equal magnitude, inphase power division at outputs from 3.1 to 10.7 GHz, which complies the FCC defined UWB. It has advantages like single layer design, via less, compact and operating band is tunable by the dimensions of the MMR.

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“…High precision and accuracy in processing have become a very important requirement. Such machines used in production get hot, and thermal expansion is the main cause of errors in accuracy [1,2]. The source of the heat involved in thermal expansion can be internal, generated by the machine itself, or external from the environment [3].…”

Section: Introductionmentioning

confidence: 99%

A Linear Regression Thermal Displacement Lathe Spindle Model

Lin

et al. 2020

Energies

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Thermal error is one of the main reasons for the loss of accuracy in lathe machining. In this study, a thermal deformation compensation model is presented that can reduce the influence of spindle thermal error on machining accuracy. The method used involves the collection of temperature data from the front and rear spindle bearings by means of embedded sensors in the bearing housings. Room temperature data were also collected as well as the thermal elongation of the main shaft. The data were used in a linear regression model to establish a robust model with strong predictive capability. Three methods were used: (1) Comsol was used for finite element analysis and the results were compared with actual measured temperatures. (2) This method involved the adjustment of the parameters of the linear regression model using the indicators of the coefficient of determination, root mean square error, mean square error, and mean absolute error, to find the best parameters for a spindle thermal displacement model. (3) The third method used system recognition to determine similarity to actual data by dividing the model into rise time and stable time. The rise time was controlled to explore the accuracy of prediction of the model at different intervals. The experimental results show that the actual measured temperatures were very close to those obtained in the Comsol analysis. The traditional model calculates prediction error values within single intervals, and so the model was divided to give rise time and stable time. The experimental results showed two error intervals, 19µm in the rise time and 15µm in the stable time, and these findings allowed the machining accuracy to be enhanced.

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Real-time measurement of temperature field in heavy-duty machine tools using fiber Bragg grating sensors and analysis of thermal shift errors

Cited by 35 publications

References 27 publications

Actualities and Development of Heavy-Duty CNC Machine Tool Thermal Error Monitoring Technology

Actualities and Development of Heavy-Duty CNC Machine Tool Thermal Error Monitoring Technology

A wide‐range demodulation method for FBG sensor

A Linear Regression Thermal Displacement Lathe Spindle Model

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