Yanjue Gong

Simulation and Optimal Design for RF MEMS Cantilevered Beam Switch

The mechanical and electric characteristics of RF switch significantly depend on its structural parameters, so it’s important to design and optimize the structure of the RF MEMS switch. This article proposes a kind of RF MEMS switch structure with special cantilevered beam section. The modal analysis is implemented by the finite element software ANSYS. And the structure parameters of the cantilevered beam are optimized with the methods of orthogonal experiment, BP Neural Network and Genetic Algorithm (GA). The validity simulation of the optimization is verified by the analyses of the random vibration and harmonic response. The results show that RF MEMS switch with optimized cantilevered beam structure has lower actuation voltage, higher dynamic stiffness.

Analysis and simulation of RF MEMS switch

Along with the fast development of the automotive electronics technology, the wireless communication technique on vehicles has huge market potential. This paper takes the cantilever beam MEMS switch as an example to discuss mechanical principle and function simulation of the RF MEMS switch used in Vehicle-carried radio frequency communication. We select three kinds of cantilever beams with different section to analyze their switch characteristics, compute and use ANSYS software to carry out multi-physical coupling analysis and simulation. The threshold voltage, inherent frequency and optimal design of three kinds of beams are also discussed. The results provide a satisfactory theoretical support to design various high performance RF MEMS switches with variational section beam.

Optimization design for the supporting system of 2m telescope primary mirror

This paper describes the optimization solution improving the total quality of the primary mirror supporting type. With the methods of Finite element analysis(FEA), Orthogonal experiment and BP Neural Network, the relationship between the structure parameters in primary mirror supporting type and the deformation of the primary mirror is built. With this relationship and Genetic Algorithm(GA) optimization design, a group of reasonable technology parameters is found that can improve the static stiffness of the primary mirror supporting type so as to reduce the gravity deformation of the primary mirror. The modal analysis and random vibration analysis are also discussed in detail, and the results indicate that the dynamic stiffness of the primary mirror supporting type is also improved.

Design optimization of cantilever Beam MEMS switch

This paper takes the cantilever beam MEMS switch as an research object to discuss its mechanical principle and carry out optimal design. Four kinds of cantilever beams with different sections are selected to analysis their mode frequencies. Referring the larger mode frequency of MEMS structure, an optimal design solution has been introduced to determine a group of reasonable structure parameters which improve the dynamic stiffness of the switch. Finally, the random response and harmonic response analysis are implemented to validate the optimal design.

Finite Element Analysis of the RF MEMS Switch

This paper takes the cantilever beam MEMS switch as an example to discuss mechanical principle and function simulation of the RF MEMS switch used in radio frequency communication. We select three kind s of the cantilever beams with different sections to analyze their switch characteristics, and with the help of finite element analysis(FEA) software ANSYS, multi-physical coupling analysis and simulation are carried out. The threshold voltage, the inherent frequency of these beams, optimal design, random vibration analysis and fatigue lifetime analysis are also discussed in detail. The results provide a good theoretical help to design various high performance RF MEMS switches with variational section beam.

Optimization study on the deformable mirror support structure of the hyperspectral imaging system for food detection

The deformable mirror (DM) is a critical optoelectronics component of the hyperspectral imaging system for food detection. It is very significant for the deformable mirror to design the best support structure with high dynamic stiffness. Based on the finite element analysis method, this paper discusses the DM support structures mechanical principle and carries out optimal design. Three kinds of DM support structures with different sections are selected to compare their resonate frequencies. The type of the support structure with larger resonant frequency is picked up, then an optimal design solution has been introduced to determine a group of rational structure parameters which improve the resonate frequency of the support. Finally, the validity simulation analyses including random vibration and harmonic response are carried out to demonstrate that the optimization method is effective to improve the performance of the DM support structure of the hyperspectral imaging system for food detection.

Optimal Design for the Optical Switch

A robust and high efficient optimization solution for optical switch is proposed in this article. The results of the structure modal analysis are obtained by ANSYS and the optimal dimension is determined aiming at maximizing the dynamic stiffness of the structure. The simulation analyses including random vibration, harmonic response and fatigue life are implemented to demonstrate that the mechanical characteristic of the optical switch is enhanced greatly by the presented optimization method here. Keywords-Optimal Design; Optical Switch; modal analysis; finite element analysis

Optimal design for the supporting structure of the chemical sensor

As the key part of chemical sensor, the design of supporting structure has great influence on the performance of the sensor. This article proposes a method for solving optimization problems of supporting structural optimum design. The original resonance frequency and modes shape of the supporting structure are obtained by the finite element analysis. On the basis of modal analysis, a method combining orthogonal experiment, radial basis network and intelligent algorithms is applied to optimize the structural parameters of the supporting structure. In the end, the random vibration analysis results indicate that the dynamic stiffness of the optimized sensor supporting structure has been improved greatly.

Optimization and Analysis of Deformable Mirror Supporting Structure

The mechanical characteristics of deformable mirror (DM) supporting structure have great influence on the imaging quality of optical system in adaptive optics (AO) system. This paper discusses optimum design for a kind of DM supporting structure. The original resonance frequency and modes shape of the supporting structure are obtained by the FEA method and the dynamic theory. Then a group of optimization structure parameters are determined with the BP neural networks and Genetic Algorithm optimal methods. In the end, the random vibration analysis results show that the dynamic stiffness of the optimized DM supporting structure has been improved greatly.

Research on the control value of actuator in active optics

This paper studies how to find the control value of actuator in intelligent control system of active optics. With the methods of Finite Element Analysis(FEA), Orthogonal experiment and BP Neural Network, the relationship between the control value of actuator in deformable mirror and the shape of the deformable mirror is built. Based on this relationship, when any shape of the deformable mirror is needed, the corresponding control value of actuator can be provided. According to these control values, the intelligent control system of active optics will control the displacement of actuator and the response time will be reduced significantly by this method.