Omar Akram Saleh Alwazzan , Mohammad Fathalilou , Ghader Rezazadeh
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Coupled nonlinear modeling of a novel high-sensitivity MEMS capacitive accelerometer enhanced by tilted pillars
The investigation of novel models, methodologies and materials with the objective of enhancing the sensitivity of capacitive micro-accelerometers represents a topic of enduring interest to researchers. This paper presents a novel model enhanced by a microstructured gap comprising tilted polydimethylsiloxane pillars. A complex mathematical model has been developed to describe the system's behavior, comprising a set of coupled nonlinear equations. The results reveal the accelerometer's response to both sinusoidal and shock inputs. It has been demonstrated that the novel model can enhance sensitivity by more than fourfold. A crucial aspect of the investigation is a comparative evaluation of scenarios with and without micro-pillars, as well as variations in micro-pillars' number and tilt angles. These findings yield valuable insights into the effects of these design parameters on the sensor's performance, laying the groundwork for optimizing the design to achieve heightened sensitivity and reduced actuation voltage.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.