Piezoelectric actuators for micro positioning stages in automated machines: experimental characterization of open loop implementations

Silvestri, Marco; Confalonieri, Matteo; Ferrario, Andrea

doi:10.5937/fmet1703331s

Cited by 17 publications

(10 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The subsequent paragraphs are devoted to the modeling of the machine and simulation of the motion in ADAMS environment. By building up the simplified models [11] of the original structure of the machine and the modified ones in ADAMS, not only the effectiveness of different solutions is obtained, but it is possible to discuss them and to compare them by each other's [12]. The conclusion about benefit obtained by adding balance weight is verified and the best solution for the practical machine prototype is confirmed.…”

Section: Introductionmentioning

confidence: 92%

“…6. upper wheels which engage the lower wheels have the same diameter of theirs (they are, consequently, homokinetic) and move the lower crossbar, connected through revolute pairs eccentrically and for which the same considerations made for the lower wheels; 7. lower crossbar, which is connected to the upper wheels, has holes that serve as guides for the four vertical rods (12). As result, the coupling between the lower crossbar Dynamics Modeling and Optimization of a Wrapper Flow Pack Mechanism 8. lower jaw is the name with which is often referred to the lower welding bar and which will be often used in the course of the treatment.…”

Section: The Welding Headmentioning

confidence: 99%

See 1 more Smart Citation

Dynamics Modeling and Optimization of a Wrapper Flow Pack Mechanism

Silvestri¹

2019

IJRTE

Self Cite

View full text Add to dashboard Cite

Abstract: This paper is about a mechanical solution to vibration problem of a wrapper flow pack mechanism, which is used in packaging industry. The target mechanism is the welding head of the machine where the vibration is generated, due to eccentric masses rotating with a cut-on-the-fly motion law. Consequently, production rate is limited by the vibration at 200 pieces per minute. To reduce the vibration so that the production rate can exceed over 200 ppm, two ways of improvements are considered. The first one is optimizing the motion law. The other one consists in mechanical modifications which eliminates or balance out the inertia forces derived from the eccentric rotating mass. This research implements the second way of adding balance weights and discusses the properties of it. During analysis, the software ADAMS which provides kinematic simulation is used as the analytical tool to test and examine the solutions proposed.

show abstract

Section: Introductionmentioning

confidence: 92%

Section: The Welding Headmentioning

confidence: 99%

Dynamics Modeling and Optimization of a Wrapper Flow Pack Mechanism

Silvestri¹

2019

IJRTE

Self Cite

View full text Add to dashboard Cite

show abstract

“…Finally, cutting force-induced errors depend on the dynamics of the machine; vibrations affect the force loop and therefore the geometric accuracy. Other error sources which are not part of the previous classes can be due to tool wear and errors in fixture, control software and, rather common, motion control [27]. Geometric and thermal errors can be defined as quasi-static errors, i.e.…”

Section: A Error Parameters and Modellingmentioning

confidence: 99%

Experimental Results Of A Self-Learning Compensation System For High Precision Manufacturing

Silvestri¹,

Fontanesi²,

Carnevale³

2019

IJITEE

Self Cite

View full text Add to dashboard Cite

 Abstract: This paper presents the experimental results obtained by applying the results of some recently concluded European projects, whose objective was the development and validation of hardware and control systems for production, based on understanding, evaluating and controlling the performance of a machine tool. It is based on a self-learning controller capable of managing a large quantity of data acquired by sensor systems, as well as on-board artifacts and finished work piece measurements that, associated to operating conditions, permit the accumulation of knowledge regarding the behaviour of machines. Relying on this experience-based approach, the controller can predict the errors that a machining process will present under different conditions and can thus adapt compensation tables. The approach set out has been implemented in a demonstrator consisting of a 5-axis high-precision boring machine, fully functional in an industrial shop floor but used under controlled environmental conditions (thermostatic chamber and special machine foundations). Its software system supports measurement procedures and is able to integrate data acquisition from different sensor systems, to calculate the volumetric error with 3D representations, to provide models for calculation of error functions and to integrate communication processes with the CNC. It can therefore operate in actual production sites, introducing relevant improvements in the machine tools manufacturing field. This paper presents the experimental results obtained during the project validation, including a comparison between on field measurements and compensation tables calculated on the basis of the predictions of the self-learning system. The analysis of the data gathered highlights the system's capability to deal with both simple linear dependencies (e.g. between error and mass variation) and complex, non-linear but repeatable trends. Results discussion, relating to two different and independent axis, demonstrates the applicability of the system under real operating conditions.

show abstract

“…These software tools are usually tailored on the CNC machine in order to parse the g-commands, execute sequential control and interpolate the trajectories for the actuators respectively [26]. For Additive Manufacturing machines, derived from CNC solutions, usually no customisations are made to change the trajectory obtained from the G-code with respect to the additive manufacturing technology used in order to improve the performance.…”

Section: Control Systemmentioning

confidence: 99%

Mechatronic Design for an Extrusion-Based Additive Manufacturing Machine

2017

Self Cite

View full text Add to dashboard Cite

3D printers, especially in the implementation of innovative extrusion processes which do not have a long history of development, are often built by adapting mechanical designs, drives and controls previously developed for generic machine tools. This is done through a process of choice and integration which is based principally on empirical criteria and taking into account separately the different aspects and parameters. Hereafter, we present an integrated mechatronic approach which has been adopted to design from the scratch a machine to implement the innovative metal injection moulding (MIM) technology. Its extrusion rate involves the adaptation of the generated trajectories and consequently requires "ad hoc" designs, drives and numerical controls (NC) to enable non standard acceleration (and hence torque) setpoint curves. Overall, the project resulted in an acceptable workspace volume (depending on the number of degrees of freedom of the platform) and allows one to combine the extruder flow rate, the given accuracy and the required working speed (1 m/s). The system is currently used as a test bench for exploring and optimizing the parameter space of a new MIM process.

show abstract

Piezoelectric actuators for micro positioning stages in automated machines: experimental characterization of open loop implementations

Cited by 17 publications

References 11 publications

Dynamics Modeling and Optimization of a Wrapper Flow Pack Mechanism

Dynamics Modeling and Optimization of a Wrapper Flow Pack Mechanism

Experimental Results Of A Self-Learning Compensation System For High Precision Manufacturing

Mechatronic Design for an Extrusion-Based Additive Manufacturing Machine

Contact Info

Product

Resources

About