Hardware and Software Integration of Mechatronic Systems for an Example Measurement Path for Temperature Sensors

2009 ◽  
Vol 147-149 ◽  
pp. 676-681 ◽  
Author(s):  
Jerzy Świder ◽  
Mariusz Piotr Hetmańczyk

This paper presents the method of designing a mechatronic system, as a result of an integration. As an example of the integration automation components, in one coherent measuring system, a measurement path for temperature sensors is proposed. A measuring path can be defined as a scale model, which reproduces thermal states of a temperature sensors system, used in real industrial applications. The system is extended by database application based on Access. Taking advantage of an iFIX special database block the temporary values of temperature are recorded in Access database with permanent period of time. The final analysis is performed in an Excel sheet.

Author(s):  
Christoph Heinle ◽  
Martina Vetter ◽  
Gottfried W. Ehrenstein ◽  
Dietmar Drummer

Offering a large variety of options, assembly injection molding represents an innovative and highly integrative technique of manufacturing mechatronic systems. This is due to the fact that it combines many technical functions such as casings and sealing of several elements made of different materials in one single manufacturing process. Particularly, the combination of various materials is a significant technological benefit and a big challenge at the same time. System tightness is a major target. This paper presents a model to improve the understanding of how leaking occurs and of the mechanisms underlying such as shrinkage and warpage behaviors related to material, process, and design. It shall also be the basis for investigations on the phenomena and development of strategies to improve the systems produced by assembly molding in terms of media tightness. Very important are the complex interaction and intereffects acting on thermal and structural shrinkages, the elements’ warpage entailed, and the adhesion between them.


2010 ◽  
Vol 164 ◽  
pp. 323-326 ◽  
Author(s):  
Andrzej Buchacz ◽  
Marek Płaczek

This paper deals with the analysis of mechatronic systems including piezoelectric materials used as sensors or actuators for stabilization and damping of mechanical vibration. This work presents the analysis of the flexural vibrating one-dimensional mechatronic system – a cantilever beam and the piezoelectric transducer bonded on the beam surface by means of a glue layer. The external RC circuit is connected to the transducer clamps. Dynamic equations of motion of the considered mechatronic system were written down using the discrete-continuous mathematical model, taking into consideration the influence of the connection layer and the external electric circuit. Dynamic flexibility of the mechatronic system was assigned on the basis of the approximate Galerkin method.


2004 ◽  
Vol 01 (01) ◽  
pp. 89-99 ◽  
Author(s):  
C. W. DE SILVA

Mechatronic systems are electromechanical systems where an integrated design procedure is used with respect to mechanical and electrical aspects. These systems possess computational intelligence with capabilities such as perception, learning, reasoning, and making inferences (or, decisions) from incomplete information. Concepts of sensing and information acquisition are crucial for mechatronic systems in all stages of design, development, testing, operation, and maintenance. This paper outlines the considerations of sensing and information acquisition for intelligent mechatronic systems. A typical mechatronic system operates as a self-contained unit and involves direct information acquisition. There are situations, however, where a group of mechatronic systems have to operate in a coordinated manner, as in a mechatronic workcell. Also it may be necessary to monitor a mechatronic system remotely and to share common resources between several applications. Networked control is needed then. This issue is also addressed in the paper. Several industrial applications of intelligent mechatronics have been developed in our Industrial Automation Laboratory. Some of them involve cutting, inspection, and grading of fish products. The paper presents a representative application, by highlighting information acquisition and the integration of sensing and control.


2006 ◽  
Vol 113 ◽  
pp. 34-38
Author(s):  
Bronius Karaliunas ◽  
Edvardas Matkevicius

The paper considers some problems of calculating major parameters and characteristics of a mechatronic system with a linear induction motor (LIM). It has been shown that LIM operating in the presence of traveling magnetic fields are widely used alongside other actuators. These motors allow for modular design because inductors may be made as independent modules. Then, by choosing the required number of inductors and their arrangement in a mechatronic system, a desired trajectory of transverse motion may be obtained. A theoretical model for LIM calculation, taking into account major assumptions about onedimensional magnetic field, is offered. Complex amplitude is expressed as the exponential function of a longitudinal coordinate of current volumetric density of the inductor. The above inductances as the parameters of dynamic equations may be used in further investigation of dynamics of mechatronic systems. However, in order to create optimal control systems for mechatronic systems with linear actuators, the major parameters and characteristics of a linear motor should be known. Therefore, the present investigation is aimed at developing methods for calculating the parameters of mechatronic systems with linear electric drives.


Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1486
Author(s):  
Israel Zamudio-Ramirez ◽  
Roque A. Osornio-Rios ◽  
Jose A. Antonino-Daviu ◽  
Jonathan Cureño-Osornio ◽  
Juan-Jose Saucedo-Dorantes

Electric motors have been widely used as fundamental elements for driving kinematic chains on mechatronic systems, which are very important components for the proper operation of several industrial applications. Although electric motors are very robust and efficient machines, they are prone to suffer from different faults. One of the most frequent causes of failure is due to a degradation on the bearings. This fault has commonly been diagnosed at advanced stages by means of vibration and current signals. Since low-amplitude fault-related signals are typically obtained, the diagnosis of faults at incipient stages turns out to be a challenging task. In this context, it is desired to develop non-invasive techniques able to diagnose bearing faults at early stages, enabling to achieve adequate maintenance actions. This paper presents a non-invasive gradual wear diagnosis method for bearing outer-race faults. The proposal relies on the application of a linear discriminant analysis (LDA) to statistical and Katz’s fractal dimension features obtained from stray flux signals, and then an automatic classification is performed by means of a feed-forward neural network (FFNN). The results obtained demonstrates the effectiveness of the proposed method, which is validated on a kinematic chain (composed by a 0.746 KW induction motor, a belt and pulleys transmission system and an alternator as a load) under several operation conditions: healthy condition, 1 mm, 2 mm, 3 mm, 4 mm, and 5 mm hole diameter on the bearing outer race, and 60 Hz, 50 Hz, 15 Hz and 5 Hz power supply frequencies


2021 ◽  
pp. 1-15
Author(s):  
Leonardo PIOT ◽  
Naomi HAVRON ◽  
Alejandrina CRISTIA

Abstract Using a meta-analytic approach, we evaluate the association between socioeconomic status (SES) and children's experiences measured with the Language Environment Analysis (LENA) system. Our final analysis included 22 independent samples, representing data from 1583 children. A model controlling for LENATM measures, age and publication type revealed an effect size of r z = .186, indicating a small effect of SES on children's language experiences. The type of LENA metric measured emerged as a significant moderator, indicating stronger effects for adult word counts than child vocalization counts. These results provide important evidence for the strength of association between SES and children's everyday language experiences as measured with an unobtrusive recording analyzed automatically in a standardized fashion.


1968 ◽  
Author(s):  
Gary L. Goodenow ◽  
Thomas R. Kolhoff ◽  
Fraser D. Smithson

Author(s):  
Y. Zhu ◽  
H. Yamada ◽  
S. Hayashi

A diode-laser absorption system having the potential of simultaneous determination of NO and NO2 concentrations in the exhaust jets from gas turbines has been being developed. The sensitivities of the detection units at a typical exhaust gas temperature of 800 K were estimated as 30 ppmv-m and 3.7 ppmv-m for NO and NO2, respectively. Experiments using simulated exhaust gas flows have shown that CO2 do not have any interference with the NO and NO2 measurements. The detection limits in ppm of the system were considerably lowered by using a multi-pass optical system. A pair of off-axis parabola mirrors was useful to prevent the laser beam from straying from the detection area of the sensor due to the beam steering in the exhaust gas. Furthermore, the multi-path optical duct fabricated with 14 mirrors on the inner wall was effective in the measurement of NO and NO2 in the exhaust gas from gas turbines.


2001 ◽  
Author(s):  
R. C. Rosenberg ◽  
E. D. Goodman ◽  
Kisung Seo

Abstract Mechatronic system design differs from design of single-domain systems, such as electronic circuits, mechanisms, and fluid power systems, in part because of the need to integrate the several distinct domain characteristics in predicting system behavior. The goal of our work is to develop an automated procedure that can explore mechatronic design space in a topologically open-ended manner, yet still find appropriate configurations efficiently enough to be useful. Our approach combines bond graphs for model representation with genetic programming for generating suitable design candidates as a means of exploring the design space. Bond graphs allow us to capture the common energy behavior underlying the several physical domains of mechatronic systems in a uniform notation. Genetic programming is an effective way to generate design candidates in an open-ended, but statistically structured, manner. Our initial goal is to identify the key issues in merging the bond graph modeling tool with genetic programming for searching. The first design problem we chose is that of finding a model that has a specified set of eigenvalues. The problem can be studied using a restricted set of bond graph elements to represent suitable topologies. We present the initial results of our studies and identify key issues in advancing the approach toward becoming an effective and efficient open-ended design tool for mechatronic systems.


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