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Multiscale Analysis of Electromechanical System
Published in Young W. Kwon, Multiphysics and Multiscale Modeling, 2015
One of the common engineering systems is an electromechanical system based on both electrical and mechanical principles. An electric car is one example, and a rail gun launcher is another example. This chapter introduces a multiphysics-based modeling technique for a rail gun launcher using the finite element method. The multiphysics modeling was conducted for a rail gun launcher to predict the exit velocity of the launch object, temperature distribution, and thermal contact stress distribution. For this modeling, electromagnetic field analysis, heat transfer analysis, thermal stress analysis, and dynamic analysis were conducted for a system consisting of two parallel rails and a moving armature. Especially, a contact theory was used to estimate the electric as well as thermal conductivities at the interface.
Systems Modeling
Published in Devendra K. Chaturvedi, ®, 2017
Electromechanical systems such as electric motors and electric pumps are used in most industrial and commercial applications. Figure 2.49 shows a simple dc motor circuit. The torque produced by the motor is proportional to the applied current and is given by T=kti
Modeling of Dynamic Systems
Published in Arthur G.O. Mutambara, Design and Analysis of Control Systems, 2017
A wide variety of very useful devices is produced by combining electrical and mechanical elements. Among the electromechanical devices that will be considered are potentiometers, galvanometers, microphones, accelerometers, motors and generators. A detailed modeling process for the DC motor is presented in Chapter 4. A detailed example of an electromechanical system will be presented later in the chapter.
Researching the engineering theory-practice divide in industrial problem solving
Published in European Journal of Engineering Education, 2020
The chosen field is one of the most rapidly emerging and expanding engineering sectors – that of controlled electro-mechanical systems (or mechatronics engineering). The reason for this particular focus is, firstly, that the core disciplines that underpin mechatronics engineering are significantly different, with different organising principles which require different forms of cognitive engagement (Wolff 2017). The core disciplines selected for the focus of the research in this paper are physics, mathematics and ‘logic1’. Secondly, mechatronics engineering practitioners work across multiple sectors that vary in scale, scope and type. Methodologically, the multidisciplinary nature of the sector and range of contexts offer a broader platform through which to interrogate the efficacy of problem-solving practices in increasingly technologised industrial contexts.