Real-Time Measurement of Machine Tool Temperature Fields and Their Effect on Machining Errors

Chen, C.; Zhang, Chenglong; Wu, Zhijun; Feng, Pingfa

doi:10.5755/j01.mech.17.4.572

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…The information obtained by these variables are considered for model validation and MT error compensation. The temperature sensors are used as inputs to estimate thermal deformations [29,30]. The spindle speed, the axis feed-rate, the machining time, and other constants may be the main causes of heat sources.…”

Section: The Embedded Distributed Sensorsmentioning

confidence: 99%

A Kinematic Model to Compensate the Structural Deformations in Machine Tools Using Fiber Bragg Grating (FBG) Sensors

et al. 2017

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Structural deformations are one of the most significant factors that affects machine tool (MT) positioning accuracy. These induced errors are complex for accurate representation by a model, nevertheless they need to be evaluated and predicted in order to increase the machining performance. This paper presents a novel approach to calibrate a machine tool in real-time, analyzing the thermo-mechanical errors through fiber Bragg grating (FBG) sensors embedded in the MT frame. The proposed configuration consists of an adaptronic structure of passive materials, Carbon Fiber Reinforced Polymers (CFRP), equipped with FBG sensors that are able to measure in real-time the deformed conditions of the frame. By using a proper thermo-mechanical kinematic model, the displacement of the end effector may be predicted and corrected when it is subjected to external undesired factors. By starting from a set of Finite Element (FE) simulations to develop a model able to describe the MT structure stresses, a prototype has been fabricated and tested. The aim of this study was to compare the numerical model with the experimental tests using FBG sensors. The experimental campaign has been performed by varying the structure temperature over time and measuring the tool tip point (TTP) positions. The obtained results showed a substantial matching between the real and the predicted position of the TTP, thereby confirming the effectiveness of the proposed system.

show abstract

Section: The Embedded Distributed Sensorsmentioning

confidence: 99%

A Kinematic Model to Compensate the Structural Deformations in Machine Tools Using Fiber Bragg Grating (FBG) Sensors

et al. 2017

View full text Add to dashboard Cite

show abstract

“…The information obtained by these variables are considered for model validation and MT calibration. The temperature sensors are used as inputs to estimate thermal deformations [25][26]. The spindle speed, the axis feed-rate, the machining time and other constants may be the main cause of heat sources.…”

Section: The Embedded Distributed Sensorsmentioning

confidence: 99%

A Kinematic Model to Compensate the Structural Deformations in Machine Tools Using Fibre Bragg Grating (FBG) Sensors

Aggogeri

Borboni

Faglia

et al. 2016

Preprint

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Structural deformations are one of the most significant factor that affects machine tool (MT) positioning accuracy. These induced errors are complex to be represented by a model, nevertheless they need to be evaluated and predicted in order to increase the machining performance. This paper presents a novel approach to calibrate a machine tool in real-time, analyzing the thermo-mechanical errors through Fibre Bragg Grating (FBG) sensors embedded in the MT frame. The proposed configuration consists of an adaptronic structure of passive materials, Carbon Fibre Reinforced Polymers (CFRP), equipped by FBG sensors that are able to measure in real-time the deformed conditions of the frame. By using a proper thermo-mechanical kinematic model, the displacement of the end effector may be predicted and corrected when it is subjected to external undesired factors. By starting from a set of FE simulations to develop a model able to describe the MT structure stresses, a prototype has been fabricated and tested. The scope was to compare the numerical model with the experimental tests using FBG sensors. The experimental campaign has been performed varying the structure temperature over time and measuring the tool tip point (TTP) positions. The obtained results showed a substantial matching between the real and the predicted position of TTP confirming the effectiveness of the proposed calibration system.

show abstract

“…According to the simulation results, a new headstock was designed and manufactured. To verify the improvement in thermal performance of the vertical machining center after reconstruction, this study adopted the machine tool thermal performance experimental method proposed in [18] to conduct experimental measurements on the whole-machine thermal properties of the vertical machining center. The test platform is shown in Fig.…”

Section: Experimental Verification Of the Reconstruction Schemementioning

confidence: 99%

Thermal Structure Design and Analysis of a Machine Tool Headstock

Zhang

Feng

et al. 2013

mech

Self Cite

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Real-Time Measurement of Machine Tool Temperature Fields and Their Effect on Machining Errors

Cited by 5 publications

References 12 publications

A Kinematic Model to Compensate the Structural Deformations in Machine Tools Using Fiber Bragg Grating (FBG) Sensors

A Kinematic Model to Compensate the Structural Deformations in Machine Tools Using Fiber Bragg Grating (FBG) Sensors

A Kinematic Model to Compensate the Structural Deformations in Machine Tools Using Fibre Bragg Grating (FBG) Sensors

Thermal Structure Design and Analysis of a Machine Tool Headstock

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