Abstract
The selection of suitable parameters, by experimental or intuitive processes for snap-through actuation of a bimetallic actuator at a prescribed temperature is an extremely time-consuming task. This paper describes a new methodology for the optimization of a discrete action thermo-bimetallic actuator with a tongue. This methodology makes it possible to solve the optimization task with higher efficiency. The requirement is to find optimal parameters values so that the actuator will make a snap-through at a given temperature. The constrained optimization task was performed using an evolutional algorithm and surrogate modelling and this was coded in Matlab. Functional relationships between the criteria and parameters were not set explicitly, but they were calculated using finite element method, each simulation of which was performed in Abaqus.
Highlights
Discrete action actuators are used in industry
This paper describes a new methodology for the optimization of a discrete action thermo-bimetallic actuator with a tongue
The constrained optimization task was performed using an evolutional algorithm and surrogate modelling and this was coded in Matlab
Summary
Discrete action actuators are used in industry. In particular they can be used as thermo-sensitive electrical switches for overload protection of electric circuits, for important elements temperature control and regulation, in optical components, as a manipulator for object transportation in microsystems. Dome plate bimetallic actuators are well known [1] They change curvature direction, making a snap-through at a critical temperature [2,3,4]. It is required to find optimal parameters values so that the actuator will make a snap-through at a given temperature. This constrained optimization task was performed using an evolutional algorithm and surrogate modelling [19] and implemented in MATLAB R2013a [20]. The critical temperature for new parameter values is determined using a surrogate model of the surface of equilibrium states without extra running the finite-element program
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