This page has only limited features, please log in for full access.

Prof. Dr. Rodolfo Faglia
Department of Mechanical and Industrial Engineering, Università degli Studi di Brescia

Basic Info

Basic Info is private.

Research Keywords & Expertise

0 Applied Mechanics
0 Design Engineering
0 Engineering
0 Mechatronics
0 Robotics

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 24 January 2017 in Applied Sciences
Reads 0
Downloads 0

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.

ACS Style

Francesco Aggogeri; Alberto Borboni; Rodolfo Faglia; Angelo Merlo; Nicola Pellegrini. A Kinematic Model to Compensate the Structural Deformations in Machine Tools Using Fiber Bragg Grating (FBG) Sensors. Applied Sciences 2017, 7, 114 .

AMA Style

Francesco Aggogeri, Alberto Borboni, Rodolfo Faglia, Angelo Merlo, Nicola Pellegrini. A Kinematic Model to Compensate the Structural Deformations in Machine Tools Using Fiber Bragg Grating (FBG) Sensors. Applied Sciences. 2017; 7 (2):114.

Chicago/Turabian Style

Francesco Aggogeri; Alberto Borboni; Rodolfo Faglia; Angelo Merlo; Nicola Pellegrini. 2017. "A Kinematic Model to Compensate the Structural Deformations in Machine Tools Using Fiber Bragg Grating (FBG) Sensors." Applied Sciences 7, no. 2: 114.

Preprint
Published: 29 December 2016
Reads 0
Downloads 0

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.

ACS Style

Francesco Aggogeri; Alberto Borboni; Rodolfo Faglia; Angelo Merlo; Nicola Pellegrini. A Kinematic Model to Compensate the Structural Deformations in Machine Tools Using Fibre Bragg Grating (FBG) Sensors. 2016, 1 .

AMA Style

Francesco Aggogeri, Alberto Borboni, Rodolfo Faglia, Angelo Merlo, Nicola Pellegrini. A Kinematic Model to Compensate the Structural Deformations in Machine Tools Using Fibre Bragg Grating (FBG) Sensors. . 2016; ():1.

Chicago/Turabian Style

Francesco Aggogeri; Alberto Borboni; Rodolfo Faglia; Angelo Merlo; Nicola Pellegrini. 2016. "A Kinematic Model to Compensate the Structural Deformations in Machine Tools Using Fibre Bragg Grating (FBG) Sensors." , no. : 1.

Journal article
Published: 11 July 2016 in Journal of Dynamic Systems, Measurement, and Control
Reads 0
Downloads 0

Stroke patients are often affected by hand impairment. Literature shows different experiences of robotic rehabilitation that is able to prove an intensive and effective therapy. A preliminary analysis of the state of the art evidenced lacks in hand robotic rehabilitation devices. Thus, this work proposes a new rehabilitation device for hand rehabilitation based on a compliant transmission. The mechanical power generator is not on the hand to reduce the weight of the device. The mechanical model of the system is descripted. Experimental results on 126 stroke patients evidenced the efficacy of this device

ACS Style

Alberto Borboni; Maurizio Mor; Rodolfo Faglia. Gloreha—Hand Robotic Rehabilitation: Design, Mechanical Model, and Experiments. Journal of Dynamic Systems, Measurement, and Control 2016, 138, 111003 .

AMA Style

Alberto Borboni, Maurizio Mor, Rodolfo Faglia. Gloreha—Hand Robotic Rehabilitation: Design, Mechanical Model, and Experiments. Journal of Dynamic Systems, Measurement, and Control. 2016; 138 (11):111003.

Chicago/Turabian Style

Alberto Borboni; Maurizio Mor; Rodolfo Faglia. 2016. "Gloreha—Hand Robotic Rehabilitation: Design, Mechanical Model, and Experiments." Journal of Dynamic Systems, Measurement, and Control 138, no. 11: 111003.

Journal article
Published: 01 August 2015 in Applied Mechanics and Materials
Reads 0
Downloads 0

The work described involves the implementation of a testing bench prototype, used to control the behavior of heart valves, taking into account the characteristics of the blood.

ACS Style

Maurizio Mor; Gianluigi Petrogalli; Tadeusz Mikolajczyk; Rodolfo Faglia. Study of a Test Bench for Artificial Heart Valves: Description and Preliminary Results. Applied Mechanics and Materials 2015, 783, 17 -27.

AMA Style

Maurizio Mor, Gianluigi Petrogalli, Tadeusz Mikolajczyk, Rodolfo Faglia. Study of a Test Bench for Artificial Heart Valves: Description and Preliminary Results. Applied Mechanics and Materials. 2015; 783 ():17-27.

Chicago/Turabian Style

Maurizio Mor; Gianluigi Petrogalli; Tadeusz Mikolajczyk; Rodolfo Faglia. 2015. "Study of a Test Bench for Artificial Heart Valves: Description and Preliminary Results." Applied Mechanics and Materials 783, no. : 17-27.