Macro Modeling of V-Shaped Electro-Thermal MEMS Actuator with Human Error Factor

Area of Science:

• * Microelectromechanical Systems (MEMS)
• * Actuator Design and Modeling
• * Computational Engineering

Background:

• * Accurate modeling of microelectromechanical systems (MEMS) actuators is crucial for reliable device performance.
• * Traditional simulation models often neglect the impact of human error during design and fabrication.
• * V-shaped electro-thermal MEMS actuators are widely used in various micro-devices.

Purpose of the Study:

• * To develop an enhanced V-shaped electro-thermal MEMS actuator model that accounts for human error.
• * To improve the accuracy of MEMS actuator simulations by integrating human error factors.
• * To validate the model's performance against experimental results.

Main Methods:

• * Cascading simulation approach combining ANSYS software and fuzzy mathematics.
• * Integration of the Backpropagation (BP) neural network to quantify and incorporate human error.
• * Development of a growing database for continuous model refinement.

Main Results:

• * The proposed model effectively integrates human error into the V-shaped electro-thermal MEMS actuator simulation.
• * The enhanced model achieved a high degree of accuracy, reducing the error between simulation and experimental results to less than 1%.
• * Model accuracy is shown to improve with the expansion of the underlying actuator model database.

Conclusions:

• * The developed fuzzy mathematics-based model, utilizing BP neural networks, significantly enhances the predictive accuracy of V-shaped electro-thermal MEMS actuators.
• * Accounting for human error is essential for achieving high-fidelity MEMS actuator models.
• * The iterative refinement of the model through database expansion promises even greater precision in future applications.