Prediction on the Performance of Polymer-Based Mechanical Low-Pass Filters for High-G Accelerometers

A polymer-based mechanical low-pass filter(m-LPF) for high-g accelerometers makes it possible to remove high-frequency transient noises from acceleration signals, thus ensuring repeatable and reliable measurement on acceleration. We establish a prediction model performance of m-LPF by combining fundamental vibration with the fractional derivative standard linear solid(FD SLS) describing storage modulus loss polymers. Here, FD SLS is modified consider effect shape factor (i.e., thickness) modulus. The accuracy verified comparing displacement transmissibility(or cut-off frequency) estimated using our that measured 3 kinds polymers(polysulfide rubber(PSR), silicone rubber(SR), polydimethylsiloxane(PDMS)). Our findings will contribute significant growth accelerometers.