scholarly journals Rapid Prototyping of Inertial MEMS Devices through Structural Optimization

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5064
Author(s):  
Daniele Giannini ◽  
Giacomo Bonaccorsi ◽  
Francesco Braghin

In this paper, we propose a novel design and optimization environment for inertial MEMS devices based on a computationally efficient schematization of the structure at the a device level. This allows us to obtain a flexible and efficient design optimization tool, particularly useful for rapid device prototyping. The presented design environment—feMEMSlite—handles the parametric generation of the structure geometry, the simulation of its dynamic behavior, and a gradient-based layout optimization. The methodology addresses the design of general inertial MEMS devices employing suspended proof masses, in which the focus is typically on the dynamics associated with the first vibration modes. In particular, the proposed design tool is tested on a triaxial beating-heart MEMS gyroscope, an industrially relevant and adequately complex example. The sensor layout is schematized by treating the proof masses as rigid bodies, discretizing flexural springs by Timoshenko beam finite elements, and accounting for electrostatic softening effects by additional negative spring constants. The MEMS device is then optimized according to two possible formulations of the optimization problem, including typical design requirements from the MEMS industry, with particular focus on the tuning of the structural eigenfrequencies and on the maximization of the response to external angular rates. The validity of the proposed approach is then assessed through a comparison with full FEM schematizations: rapidly prototyped layouts at the device level show a good performance when simulated with more complex models and therefore require only minor adjustments to accomplish the subsequent physical-level design.

2018 ◽  
Vol 33 (4) ◽  
pp. 1776-1786 ◽  
Author(s):  
Carlos Lopez-Torres ◽  
Antonio Garcia ◽  
Jordi-Roger Riba ◽  
Gerhard Lux ◽  
Luis Romeral

2012 ◽  
Vol 134 (10) ◽  
Author(s):  
Philippe Versailles ◽  
Jeffrey M. Bergthorson

This paper presents the Thwaites method as an accurate and efficient design tool for laminar, axisymmetrical nozzles. Based on historical developments, it is improved to describe internal flows with highly favorable pressure gradients in cylindrical coordinates. The calculation of the core flow velocity distribution based on the continuity equation is proposed as a replacement to other sophisticated numerical methods. A remarkably good agreement is obtained when comparing the results of the current Thwaites method against those of computational fluid dynamics (CFD) simulations, for which the integral boundary layer thicknesses are calculated with equations developed from first principles in the course of the work. This consistency among the results and the low time and resource costs of the Thwaites method confirm its applicability and usefulness as an engineering design and optimization tool.


Author(s):  
Joseph Pegna ◽  
Franz-Erich Wolter

Abstract In the design and manufacturing of shell structures it is frequently necessary to construct trimming curves on surfaces. The novel method introduced in this paper was formulated to be coordinate independent and computationally efficient for a very general class of surfaces. Generality of the formulation is attained by solving a tensorial differential equation that is formulated in terms of local differential properties of the surface. In the method proposed here, a space curve is mapped onto the surface by tracing a surface curve whose points are connected to the space curve via surface normals. This surface curve is called to be an orthogonal projection of the space curve onto the surface. Tracing of the orthogonal projection is achieved by solving the aforementionned tensorial differential equation. For an implicitely represented surface, the differential equation is solved in three-space. For a parametric surface the tensorial differential equation is solved in the parametric space associated with the surface representation. This method has been tested on a broad class of examples including polynomials, splines, transcendental parametric and implicit surface representations. Orthogonal projection of a curve onto a surface was also developed in the context of surface blending. The orthogonal projection of a curve onto two surfaces to be blended provides not only a trimming curve design tool, but it was also used to construct smooth natural maps between trimming curves on different surfaces. This provides a coordinate and representation independent tool for constructing blend surfaces.


Author(s):  
Ricardo Puente ◽  
Roque Corral ◽  
Jorge Parra

In this paper a fast automatic design environment is developed, making use of a well established and validated turbomachinery design software system for geometry generation and flow analysis. The design is updated via a gradient based algorithm, where gradients are obtained via the adjoint method. The computational advantages of Graphics Processing Units are used to accelerate the mesh generation and flow analysis stages. The capabilities of the system are illustrated by automatically generating two Low Pressure Turbine vanes, and comparing them to the ones arrived at by a human designer, respecting the same explicit design criteria. The quality of the automatically designed airfoils is assessed against the human generated ones, and insight on the influence of implicit criteria is extracted. It is concluded that acceptable quality geometries can be designed automatically in a short time. For instance, the automatic procedure takes of the order of two days for an equivalent human driven case, where the designer took of the order of two weeks.


Soft Matter ◽  
2017 ◽  
Vol 13 (39) ◽  
pp. 7098-7105 ◽  
Author(s):  
Mehdi B. Zanjani ◽  
John C. Crocker ◽  
Talid Sinno

Geometrical analysis of connectivity enables efficient design and optimization of colloidal cluster assemblies.


Fuel injection system is an indispensible part of the present day automobiles. The depletion of the fuels along with continuous surge in the fuel prices has made it imperative to use fuel economically and restricting the wastage to a minimum. Contrary to the carburetor, using predefined amount of fuel irrespective of the environment, Fuel Injection System uses just the required amount of fuel based on the operating conditions as sensed by the Engine Control Module (ECM). Numerous parameters are required to be sensed by the ECM to achieve optimum efficiency of the engine. To handle the processing of such large number of parameters, a robust architecture is required. This paper presents the design and implementation of ECM utilized in Electronic Fuel Injection (EFI) system on a Field Programmable Gate Array. The ECM architecture discussed in the proposed system is computationally efficient enough to fulfill ever-increasing functionalities of the ECM. The main objective of this research is to sense the parameters required for the ECM analysis and to interpret and analyze this data and accordingly control the solenoid (actuator). The CAN controller is also deployed in an FPGA to facilitate the communication between ECM and Human Machine Interface (HMI) to indicate the parameters sensed by the sensor on the LCD. The target device (FPGA) for this work is Xilinx Spartan 3E and the design tool is Xilinx ISE 14.7 with the ECM and CAN controller being modeled in Verilog Hardware Description Language (HDL).


1998 ◽  
Vol 66 (1-3) ◽  
pp. 15-20 ◽  
Author(s):  
Oliver Nagler ◽  
Michael Trost ◽  
Bernd Hillerich ◽  
Frank Kozlowski

Author(s):  
Qian Wang ◽  
Lucas Schmotzer ◽  
Yongwook Kim

<p>Structural designs of complex buildings and infrastructures have long been based on engineering experience and a trial-and-error approach. The structural performance is checked each time when a design is determined. An alternative strategy based on numerical optimization techniques can provide engineers an effective and efficient design approach. To achieve an optimal design, a finite element (FE) program is employed to calculate structural responses including forces and deformations. A gradient-based or gradient-free optimization method can be integrated with the FE program to guide the design iterations, until certain convergence criteria are met. Due to the iterative nature of the numerical optimization, a user programming is required to repeatedly access and modify input data and to collect output data of the FE program. In this study, an approximation method was developed so that the structural responses could be expressed as approximate functions, and that the accuracy of the functions could be adaptively improved. In the method, the FE program was not required to be directly looped in the optimization iterations. As a practical illustrative example, a 3D reinforced concrete building structure was optimized. The proposed method worked very well and optimal designs were found to reduce the torsional responses of the building.</p>


2011 ◽  
Vol 8 (3) ◽  
pp. 102-109
Author(s):  
K.B. Puneeth ◽  
K.N. Seetharamu

A predictive model of thermal actuator behavior has been developed and validated that can be used as a design tool to customize the performance of an actuator to a specific application. Modeling thermal actuator behavior requires the use of two sequentially or directly coupled models, the first to predict the temperature increase of the actuator due to the applied voltage and the second to model the mechanical response of the structure due to the increase in temperature. These models have been developed using ANSYS for both thermal response and structural response. Consolidation of FEA (finite element analysis) results has been carried out using an ANN (artificial neural network) in MATLAB. It is seen that an ANN can be successfully employed to interpolate and predict FEA results, thus avoiding necessity of running FEA code for every new case. Furtheroptimization of geometry for maximum actuation length has been carried out using a GA (genetic algorithm) in MATLAB. The results of the GA were verified against the ANN and FEA results.


2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Lucas A. Shaw ◽  
Frederick Sun ◽  
Carlos M. Portela ◽  
Rodolfo I. Barranco ◽  
Julia R. Greer ◽  
...  

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