Preprint Article Version 1 This version is not peer-reviewed

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

Version 1 : Received: 28 December 2016 / Approved: 29 December 2016 / Online: 29 December 2016 (07:39:26 CET)

A peer-reviewed article of this Preprint also exists.

Aggogeri, F.; Borboni, A.; Faglia, R.; Merlo, A.; Pellegrini, N. A Kinematic Model to Compensate the Structural Deformations in Machine Tools Using Fiber Bragg Grating (FBG) Sensors. Appl. Sci. 2017, 7, 114. Aggogeri, F.; Borboni, A.; Faglia, R.; Merlo, A.; Pellegrini, N. A Kinematic Model to Compensate the Structural Deformations in Machine Tools Using Fiber Bragg Grating (FBG) Sensors. Appl. Sci. 2017, 7, 114.

Journal reference: Appl. Sci. 2017, 7, 114
DOI: 10.3390/app7020114

Abstract

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.

Subject Areas

kinematic model; fiber Bragg grating; deformations; machine tools calibration; predicted model; multiple regression analysis; finite element analysis

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