MEMS Gyro Modal Analysis and Design Tool

Author(s):  
J. Albert Chiou

A gyroscope is used to measure angular rates for may applications such as automotive applications, navigation applications, military applications, consumer electronics applications, and robotics applications, etc. For our specific automotive applications, the gyro is used to sense the yaw, roll, and pitch angular rates for ride stabilization and rollover detection. The tuning-fork gyro device used is a double gimbaled vibratory gyroscope supported by flexures with the vibrating mechanical element made of silicon. In order to drive the gyro device with a low voltage and a high quality factor (Q), the sensing element is sealed in a high-vacuumed package. The operational resonant frequencies are very critical to the ASIC control circuit. The purpose of this study is to perform modal analyses, validate the simulation results with testing data, and provide a design tool for quick gyro element resonant frequency predictions in order to reduce design and product development cycle time. The process tolerance and design limit can also be quickly evaluated before the wafer is built.

Author(s):  
D. Josephine Selvarani Ruth

AbstractNickel Titanium Naval Ordinance Laboratory (NiTiNOL) is widely called as a shape memory alloy (SMA), a class of nonlinear smart material inherited with the functionally programmed property of varying electrical resistance during the transformation enabling to be positioned as a sensing element. The major challenge to instrument the SMA wires is to suppress the wires’ nonlinearity by proper selection of two important factors. The first factor is influenced by the mechanical biasing element and the other is to identify the sensing current for the sensing device (SMA wires + biasing). This paper focuses on developing SMA wires for sensing in different orientation types and configurations by removing the non-linearity in the system’s output by introducing inverse hysteresis to the wires through the passive mechanical element.


Author(s):  
Jonas Austerjost ◽  
Robert Söldner ◽  
Christoffer Edlund ◽  
Johan Trygg ◽  
David Pollard ◽  
...  

Machine vision is a powerful technology that has become increasingly popular and accurate during the last decade due to rapid advances in the field of machine learning. The majority of machine vision applications are currently found in consumer electronics, automotive applications, and quality control, yet the potential for bioprocessing applications is tremendous. For instance, detecting and controlling foam emergence is important for all upstream bioprocesses, but the lack of robust foam sensing often leads to batch failures from foam-outs or overaddition of antifoam agents. Here, we report a new low-cost, flexible, and reliable foam sensor concept for bioreactor applications. The concept applies convolutional neural networks (CNNs), a state-of-the-art machine learning system for image processing. The implemented method shows high accuracy for both binary foam detection (foam/no foam) and fine-grained classification of foam levels.


Author(s):  
Mamidala Hemanth Reddy

The output voltage from the sustainable energy like photovoltaic (PV) arrays and fuel cells will be at less amount of level. This must be boost considerably for practical utilization or grid connection. A conventional boost converter will provides low voltage gain while Quadratic boost converter (QBC) provides high voltage gain. QBC is able to regulate the output voltage and the choice of second inductor can give its current as positive and whereas for boost increases in the voltage will not able to regulate the output voltage. It has low semiconductor device voltage stress and switch usage factor is high. Analysis and design modeling of Quadratic boost converter is proposed in this paper. A power with 50 W is developed with 18 V input voltage and yield 70 V output voltage and the outcomes are approved through recreation utilizing MATLAB/SIMULINK MODEL.


2018 ◽  
Vol 140 (6) ◽  
Author(s):  
Carlye A. Lauff ◽  
Daria Kotys-Schwartz ◽  
Mark E. Rentschler

Prototyping is an essential part of product development in companies, and yet it is one of the least explored areas of design practice. There are limited ethnographic studies conducted within companies, specifically around the topic of prototyping. This is an empirical and industrial-based study using inductive ethnographic observations to further our understanding of the various roles prototypes play in organizations. This research observed the entire product development cycle within three companies in the fields of consumer electronics (CE), footwear (FW), and medical devices (MD). Our guiding research questions are: What is a prototype? What are the roles of prototypes across these three companies? Through our analysis, we uncovered that prototypes are tools for enhanced communication, increased learning, and informed decision-making. Specifically, we further refine these categories to display the types of communication, learning, and decision-making that occur. These insights are significant because they validate many prior prototyping theories and claims, while also adding new perspectives through further exploiting each role. Finally, we provide newly modified definitions of a prototype and prototyping based on this empirical work, which we hope expands designers' mental models for the terms.


Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2775
Author(s):  
Jung-min Park ◽  
Hyung-jun Byun ◽  
Bum-jun Kim ◽  
Sung-hun Kim ◽  
Chung-yuen Won

A voltage balancer (VB) can be used to balance voltages under load unbalance in either a bipolar DC microgrid or LVDC (Low voltage DC) distribution system. An interleaved buck-type VB has advantages over other voltage balance topologies for reduction in output current ripple by an aspect of configuration of a physically symmetrical structure. Similarly, magnetic coupling such as winding two or more magnetic components into a single magnetic component can be selected to enhance the power density and dynamic response. In order to achieve these advantages in a VB, this paper proposes a VB with a coupled inductor (CI) as a substitute for inductors in a two-stage interleaved buck-type VB circuit. Based on patterns of switch poles under load variation, the variation in inductor currents under four switching patterns is induced. The proposed CI is derived from self-inductance based on the configuration structure that has a two-stage interleaved buck type and mathematical design results based on the coupling coefficient, where the coupling coefficient is a key factor in the determination of the dynamic response of the proposed VB in load variation. According to the results, a prototype scale is implemented to confirm the feasibility and effectiveness of the proposed VB.


2010 ◽  
Vol 45 (1) ◽  
pp. 59-68 ◽  
Author(s):  
Ramesh P. Rudra ◽  
Bahram Gharabaghi ◽  
Saleh Sebti ◽  
Neelam Gupta ◽  
Ashwini Moharir

Abstract The Guelph design tool for vegetative filter strips, GDVFS, is a toolkit for the analysis and design of vegetative filter strips (VFSs). The upland hydrology model UH and the vegetative filter strip model VFSMOD (the two main components of GDVFS) were adopted from an existing interface (VFSMOD-W), and new nutrient and bacteria transport add-ons for UH and VFSMOD were incorporated into GDVFS. Other utilities and tools were also included in GDVFS to provide a capable toolkit for the analysis and design of VFSs. The published evaluation of computational procedures used in GDVFS indicates that these procedures perform very well in the estimation of VFS sediment and phosphorus removal efficiencies. According to these results, comparison of the predicted and observed values for sediment and phosphorus removal efficiencies indicates 10 and 20% error, respectively. This paper provides descriptions on the capabilities and methodology followed in the GDVFS toolkit.


Author(s):  
Geneviève Rodrigue ◽  
Chris K. Mechefske

Experimental and computational modal analysis has been completed as part of a larger project with the ultimate goal of understanding MRI vibration and implementing passive vibration isolation in the MRI machine support structure. The specific purpose of the modal analysis is to extract natural frequencies (eigenvalues) and mode shapes (eigenvectors) of the MRI support structure in order to validate the computational model of the base against the experimental results so that the former may be used as an analysis and design tool. From the model, the resonance points of the MRI support structure are determined within the expected frequency ranges of excitation.


2017 ◽  
Vol 2017 (1) ◽  
pp. 672-676 ◽  
Author(s):  
Jan Meyer ◽  
Robert Stiegler ◽  
Peter Schegner ◽  
Ingolf Röder ◽  
Andreas Belger

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