Dry Friction Influence on Structure Dynamics

Simone, Marco Claudio De; Guida, Domenico

doi:10.7712/120115.3708.1465

Cited by 28 publications

(19 citation statements)

References 6 publications

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“…Therefore, the main research efforts of the authors are devoted to the development of new methods for performing accurate analytic modelling [31][32][33][34][35], numerical parameter identification using experimental data [36][37][38][39][40], and optimal control optimization for dynamic models of multibody mechanical systems [41][42][43][44][45][46]. In particular, this paper is focused on the development of a control scheme by using the Arduino platform in order to convert a machine for performing simple manufacturing operations.…”

Section: Discussionmentioning

confidence: 99%

Development and implementation of a control system for a retrofitted CNC machine by using Arduino

Quatrano¹,

De²,

Rivera³

et al. 2017

FME Transaction

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Section: Discussionmentioning

confidence: 99%

Development and implementation of a control system for a retrofitted CNC machine by using Arduino

Quatrano¹,

De²,

Rivera³

et al. 2017

FME Transaction

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“…The results of this study will be used to develop a small tracked machine for agricultural applications to be used in viticulture. This activity has been developed at our Laboratory of Applied Mechanics, where we build small autonomous vehicles and robots for practical civil and agricultural applications [50][51][52][53][54][55][56][57][58] and test control systems in the presence of friction [59][60][61][62][63][64][65][66][67][68]. This work is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

Obstacle Avoidance System for Unmanned Ground Vehicles by Using Ultrasonic Sensors

2018

Self Cite

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Artificial intelligence is the ability of a computer to perform the functions and reasoning typical of the human mind. In its purely informatic aspect, it includes the theory and techniques for the development of algorithms that allow machines to show an intelligent ability and/or perform an intelligent activity, at least in specific areas. In particular, there are automatic learning algorithms based on the same mechanisms that are thought to be the basis of all the cognitive processes developed by the human brain. Such a powerful tool has already started to produce a new class of self-driving vehicles. With the projections of population growth that will increase until the year 2100 up to 11.2 billion, research on innovating agricultural techniques must be continued. In order to improve the efficiency regarding precision agriculture, the use of autonomous agricultural machines must become an important issue. For this reason, it was decided to test the use of the "Neural Network Toolbox" tool already present in MATLAB to design an artificial neural network with supervised learning suitable for classification and pattern recognition by using data collected by an ultrasonic sensor. The idea is to use such a protocol to retrofit kits for agricultural machines already present on the market.

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“…Not all of these solutions contribute to the improvement of the vehicle braking qualities [22][23][24]. Due to these undesirable consequences, friction materials used in automotive braking systems must have wear resistance and high mechanical strength, low thermal conductivity, lubrication components with a role of increasing seizure resistance [25][26][27]. An interaction between a brake disc and friction material of automotive brake is characterised by a number of dry contact phenomena.…”

Section: Introductionmentioning

confidence: 99%