Abstract
Due to multi-factor coupling behavior, the performance evaluation of an accelerometer subject to high-temperature and high-impact loads poses a significant challenge during its design phase. In this paper, the simulation-based method is applied to optimize the design of the accelerometer. The proposed method can reduce the uncertainties and improve the fidelity of the simulation in the sense that (i) the preloading conditions of fasteners are taken into consideration and modeled in static analysis; (ii) all types of loadings, including bolt preloads, thermal loads, and impact loads, are defined in virtual dynamic prototype of the accelerometer. It is our finding that from static and dynamic analysis, an accelerometer is exposed to the risk of malfunction and even a complete failure if the temperature rises to a certain limit; it has been proved that the thermal properties of sensing components are the most critical factors for an accelerometer to achieve its desired performance. Accordingly, we use a simulation-based method to optimize the thermal expansion coefficient of the sensing element and get the expected design objectives.
Highlights
Sensing acceleration with a wide range of change is of special interest in this paper, since the information about acceleration subject to high impact is crucial to autonomous control of an intelligent weapon system [1]
An accelerometer in a weapon system must be applicable to the conditions with an impact load up to thousands of gravity acceleration (g), and it must be capable of responding to the impact load accurately
Existing approaches to design reliable accelerometers for intelligent weapon systems require many experiments to optimize the design of sensing systems
Summary
It is very challenging to acquire real-time data of motion and impact force with a broad scope of changes in a harsh application environment. Sensing acceleration with a wide range of change is of special interest in this paper, since the information about acceleration subject to high impact is crucial to autonomous control of an intelligent weapon system [1]. When the weapon hits the target, its sensing element serves as an impact switch, while its accuracy is greatly affected by the impact strengths. The sensing element must be designed to be robust to convert the acceleration of the weapon into acceptable signals in the control system, so that the processed data can be used to make correct decisions in a weapon warhead system [2]. The performance of the sensing system greatly affects the lethality and accuracy of an intelligent weapon system
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