Thermal Analysis for Condition Monitoring of Machine Tool Spindles

Clough, David A; Fletcher, Simon; Longstaff, Andrew P.; Willoughby, Peter

doi:10.1088/1742-6596/364/1/012088

Cited by 6 publications

(3 citation statements)

References 4 publications

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“…For a steady-state analysis model, the temperature matrix can be obtained by the matrix equation, as shown in Eq. ( 5) [8], [9], [10].…”

Section: Establishment Of X-axis Transmission Experimental Model and ...mentioning

confidence: 99%

Research on Thermal Compensation of x-Axis Partition of Drilling and Tapping Center Machine Tools

Yu¹,

Li²,

Li³

et al. 2023

IEEE Access

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As one of the most commonly used metal cutting machines in modern manufacturing industry, the drilling and tapping center machine tool has an irreplaceable position in modern manufacturing industry due to its high operating speed and fast tool changing speed. However, in the process of machining, the thermal deformation of the x-axis lead screw is caused due to the changes of the ambient end temperature, the wire mother end temperature and the bearing temperature of the motor seat end, resulting in the error of the workpiece. In this paper, through the above three kinds of thermal deformation simulation and experimental data measurement, and then through the analysis and modeling of the experimental data by MATLAB, a scheme of real-time compensation for the thermal error of the x-axis lead screw is proposed. After the compensation, the products produced by an enterprise are verified. The verification results show that the accuracy after the compensation can be improved by 56.25% compared with that before the compensation.

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“…For a steady-state analysis model, the temperature matrix can be obtained by the matrix equation, as shown in Eq. ( 5) [8], [9], [10].…”

Section: Establishment Of X-axis Transmission Experimental Model and ...mentioning

confidence: 99%

Research on Thermal Compensation of x-Axis Partition of Drilling and Tapping Center Machine Tools

Yu¹,

Li²,

Li³

et al. 2023

IEEE Access

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show abstract

“…In order to better monitor the state of the machine tool and reduce the influence of thermal errors, Clough et al 26 tested various monitoring methods and emphasized the value of online monitoring of thermal imaging. Infrared thermal imaging camera has the advantages of small size, light weight, high sensitivity, wide measurement range, and non-contact measurement.…”

Section: Motorized Spindle Temperature Rise Experimentsmentioning

confidence: 99%

Design and thermal characteristic analysis of motorized spindle cooling system

Zhang

Wang

Zhang

et al. 2021

Advances in Mechanical Engineering

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The thermal deformation of high-speed motorized spindle will affect its reliability, so fully considering its thermal characteristics is the premise of optimal design. In order to study the thermal characteristics of high-speed motorized spindles, a coupled model of thermal-flow-structure was established. Through experiment and simulation, the thermal characteristics of spiral cooling motorized spindle are studied, and the U-shaped cooled motorized spindle is designed and optimized. The simulation results show that when the diameter of the cooling channel is 7 mm, the temperature of the spiral cooling system is lower than that of the U-shaped cooling system, but the radial thermal deformation is greater than that of the U-shaped cooling system. As the increase of the channel diameter of U-shaped cooling system, the temperature and radial thermal deformation decrease. When the diameter is 10 mm, the temperature and radial thermal deformation are lower than the spiral cooling system. And as the flow rate increases, the temperature and radial thermal deformation gradually decrease, which provides a basis for a reasonable choice of water flow rate. The maximum error between experiment and simulation is 2°C, and the error is small, which verifies the accuracy and lays the foundation for future research.

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“…Several condition monitoring methods are available to assess the system condition, the most common being oil particulate analysis [1] and vibration patterns [2][3][4] and thermal analysis [5,6]. Each method provides vital information concerning the current health of the equipment.…”

Section: Introductionmentioning

confidence: 99%

Improving sensitivity of an inductive pulse sensor for detection of metallic wear debris in lubricants using parallel LC resonance method

Du¹,

Zhu²,

Han³

et al. 2013

Meas. Sci. Technol.

115

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Detection of small metallic wear debris is critical to identify abnormal wear conditions for prognosis of pending machinery failure. In this paper we applied an inductance–capacitance (LC) resonance method to an inductive pulse debris sensor to increase the sensitivity. By adding an external capacitor to the sensing coil of the sensor, a parallel LC resonance circuit is formed that has a unique resonant frequency. At an excitation frequency close to the resonant frequency, impedance change (and thus change in voltage output) of the LC circuit caused by the passage of a debris particle is amplified due to sharp change in impedance at the resonant peak; thus signal-to-noise ratio and sensitivity are significantly improved. Using an optimized measurement circuit, iron particles ranging from 32 to 96 µm and copper particles ranging from 75 to 172 µm were tested. Results showed that the parallel LC resonance method is capable of detecting a 20 µm iron particle and a 55 µm copper particle while detection limits for the non-resonance method are 45 and 125 µm, respectively. In contrast to the non-resonant method, the sensitivity of the resonance method has been significantly improved.

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Thermal Analysis for Condition Monitoring of Machine Tool Spindles

Cited by 6 publications

References 4 publications

Research on Thermal Compensation of x-Axis Partition of Drilling and Tapping Center Machine Tools

Research on Thermal Compensation of x-Axis Partition of Drilling and Tapping Center Machine Tools

Design and thermal characteristic analysis of motorized spindle cooling system

Improving sensitivity of an inductive pulse sensor for detection of metallic wear debris in lubricants using parallel LC resonance method

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