Computational Analysis and Optimization of a Crab-Type MEMS Accelerometer for Wide-Range Acceleration Sensing
Sanjay Kumar
Department of Mechanical Engineering, Delhi Technological University, Delhi, India.
Arjun Anand
*
Department of Mechanical Engineering, Delhi Technological University, Delhi, India.
Abid Ahmed
Department of Mechanical Engineering, Delhi Technological University, Delhi, India.
Abhishek Kushwaha
Department of Mechanical Engineering, Delhi Technological University, Delhi, India.
*Author to whom correspondence should be addressed.
Abstract
Aims: This study designs and analysis of a Crab-Type MEMS accelerometer for high-sensitivity applications under extreme acceleration. It evaluates vibration characteristics, sensitivity, and shock resistance through computational simulations, ensuring suitability for automotive, aerospace, and industrial sensing.
Study Design: A computational study using COMSOL Multiphysics and MATLAB for design, modelling, and optimization, conducted over six months in the Department of Mechanical Engineering.
Methodology: A 3D model of the accelerometer was created, and finite element simulations analysed its natural frequency, displacement sensitivity, and mechanical shock response. Modal analysis determined frequency response, while displacement-to-capacitance conversion evaluated sensitivity. Shock analysis applied impact loads from -30g to +30g, with von Mises stress distribution assessing mechanical stability. MATLAB-based analytical models validated the results.
Results: The accelerometer’s natural frequency (~3.40 kHz) ensures stable operation below resonance. Displacement sensitivity showed a linear relationship between acceleration and proof mass displacement, with improved capacitive sensitivity through electrode gap optimization. Shock analysis confirmed structural integrity under high-impact conditions, with rapid stabilization post-impact, making it suitable for crash detection and aerospace navigation.
Conclusion: The Crab-Type MEMS accelerometer exhibits high sensitivity, stable frequency response, and strong shock resistance, making it ideal for precision sensing applications. Future experimental validation and material optimization could further enhance real-world performance.
Keywords: MEMS accelerometer, crab-type accelerometer, vibrational analysis, sensitivity optimization, shock resistance, COMSOL multiphysics, finite element analysis, capacitive sensing