scholarly journals ANN Synthesis Model of Single-Feed Corner-Truncated Circularly Polarized Microstrip Antenna with an Air Gap for Wideband Applications

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Zhongbao Wang ◽  
Shaojun Fang
Keyword(s):  
Computer Aided Design ◽  
Microstrip Antenna ◽  
Microstrip Antennas ◽  
Air Gap ◽  
Training Data ◽  
Data Sets ◽  
Circularly Polarized ◽  
Artificial Neural Network Ann ◽  
Aided Design ◽  
Lm Algorithm

A computer-aided design model based on the artificial neural network (ANN) is proposed to directly obtain patch physical dimensions of the single-feed corner-truncated circularly polarized microstrip antenna (CPMA) with an air gap for wideband applications. To take account of the effect of the air gap, an equivalent relative permittivity is introduced and adopted to calculate the resonant frequency andQ-factor of square microstrip antennas for obtaining the training data sets. ANN architectures using multilayered perceptrons (MLPs) and radial basis function networks (RBFNs) are compared. Also, six learning algorithms are used to train the MLPs for comparison. It is found that MLPs trained with the Levenberg-Marquardt (LM) algorithm are better than RBFNs for the synthesis of the CPMA. An accurate model is achieved by using an MLP with three hidden layers. The model is validated by the electromagnetic simulation and measurements. It is enormously useful to antenna engineers for facilitating the design of the single-feed CPMA with an air gap.

scholarly journals Resonant Frequency of Circular Sectorial Microstrip Antenna Printed On Double-Layered Anisotropic Substrates

2021 ◽  
Author(s):  
Souad FRIHA ◽  
Sami Bedra ◽  
Fouad CHEBBARA ◽  
Randa BEDRA ◽  
Siham BENKOUDA
Keyword(s):  
Resonant Frequency ◽  
Computer Aided Design ◽  
Microstrip Antenna ◽  
Microstrip Antennas ◽  
Resonant Frequencies ◽  
Design Engineers ◽  
Anisotropic Substrates ◽  
Aided Design ◽  
Composite Substrates ◽  
Good Agreement

Abstract In this work, modal characteristics have been rigorously studied which germinate an improved, accurate, and efficient computer-aided design (CAD) formulation to estimate the resonant frequency of sectorial circular microstrip antennas printed on anisotropic suspended and composite substrates. The obtained results demonstrated that the resonant frequencies of the sectorial circular microstrip patch on suspended and composite substrates can be adjusted to obtain the maximum operating frequency of the antenna. The computed results show a fairly good agreement with measured results. Such theoretical validation and results may prove to be more useful for design engineers and further investigation.

Tight Cocone: A Water-tight Surface Reconstructor

2003 ◽  
Vol 3 (4) ◽  
pp. 302-307 ◽  
Author(s):  
Tamal K. Dey ◽  
Samrat Goswami
Keyword(s):  
Surface Reconstruction ◽  
Computer Aided Design ◽  
Simple Algorithm ◽  
Reconstruction Algorithm ◽  
Data Sets ◽  
Triangulated Surface ◽  
Output Surface ◽  
Input Sample ◽  
Sample Points ◽  
Aided Design

Surface reconstruction from unorganized sample points is an important problem in computer graphics, computer aided design, medical imaging and solid modeling. Recently a few algorithms have been developed that have theoretical guarantee of computing a topologically correct and geometrically close surface under certain condition on sampling density. Unfortunately, this sampling condition is not always met in practice due to noise, non-smoothness or simply due to inadequate sampling. This leads to undesired holes and other artifacts in the output surface. Certain CAD applications such as creating a prototype from a model boundary require a water-tight surface, i.e., no hole should be allowed in the surface. In this paper we describe a simple algorithm called Tight Cocone that works on an initial mesh generated by a popular surface reconstruction algorithm and fills up all holes to output a water-tight surface. In doing so, it does not introduce any extra points and produces a triangulated surface interpolating the input sample points. In support of our method we present experimental results with a number of difficult data sets.

ANALYSIS PERFORMANCE OF SINGLY-FED CIRCULARLY POLARIZED MICROSTRIP ANTENNA FOR WIRELESS COMMUNICATION

2016 ◽  
Vol 78 (5-9) ◽  
Author(s):  
Muhammad Fauzan Edy Purnomo ◽  
Hadi Suyono ◽  
Panca Mudjirahardjo ◽  
Rini Nur Hasanah
Keyword(s):  
Wireless Communication ◽  
Circular Polarization ◽  
Microstrip Antenna ◽  
Axial Ratio ◽  
Microstrip Antennas ◽  
Impedance Bandwidth ◽  
Antenna Structure ◽  
Circularly Polarized ◽  
Large Bandwidth ◽  
Doubly Fed

The circularly polarized (CP) microstrip antennas, both of singly- and doubly-fed types, possess inherent limitation in gain, impedance and axial-ratio bandwidths. These limitations are caused mainly by the natural resonance of the patch antenna which has a high unloaded Q-factor and the frequency-dependent excitation of two degenerative modes (TM01 and TM10) when using a single feed. Many applications which require circular polarization, large bandwidth, and good performance, especially in the field of wireless communication, are still difficult to be designed by using antenna software. Some consideration to take will include the application target and design specification, the materials to be used, and the method to choose (formula, numerical analysis, etc). This paper explains and analyzes the singly-fed microstrip antenna with circular polarization and large bandwidth. This singly-fed type of microstrip antenna provides certain advantage of requiring no external circular polarizer, e.g. the 900 hybrid, as it only needs to apply some perturbation or modification to a patch radiator with a standard geometry. The design of CP and large-bandwidth microstrip antenna is done gradually, by firstly truncating one tip, then truncating the whole three tips, and finally modifying it into a pentagonal patch structure and adding an air-gap to obtain larger bandwidths of impedance, gain and axial ratio. The last one antenna structure results in a novelty because it is a rare design of antenna which includes all types of bandwidth (impedance, gain, and axial ratio) being simultaneously larger than the origin antenna. The resulted characteristic performance of the 1-tip (one-tip) antenna shows respectively 1.9% of impedance bandwidth, 3.1% of gain bandwidth, and 0.45% of axial-ratio bandwidth. For the 3-tip (three-tip) step, the resulted bandwidths of respectively impedance, gain, and axial ratio are 1.7%, 3.3% and 0.5%. The pentagonal structure resulted in the bandwith values of 15.67%, 52.16% and 4.11% respectively for impedance, gain, and axial ratio. 

Optimal Sensor Design Using Patient-Specific Images

2010 ◽  
Vol 4 (2) ◽  
Author(s):  
Sukhi Basati ◽  
Timothy J. Harris ◽  
Andreas A. Linninger
Keyword(s):  
Computer Aided Design ◽  
Rational Design ◽  
Treatment Options ◽  
Patient Specific ◽  
Data Sets ◽  
Disease States ◽  
Magnetic Resonance Data ◽  
Computer Aided ◽  
Aided Design ◽  
Pathological Disease

In diseases such as hydrocephalus, the cerebral ventricles enlarge. The treatment options for these patients are presently based on pressure, which has limited capabilities. We present the design of a volume sensor as an alternative monitoring option. Through the use of computer aided design and simulation, we optimized a sensor in silico with fewer resources. Specifically, we designed a sensor for animal experimentation with a scalable procedure for human sensors. In this paper, we present a rational design approach for a sensor that integrates advances in medical imaging. Magnetic resonance data sets of both normal and diseased subjects were used as a virtual laboratory. Finite element simulations were performed under pathological disease states of the brain as a contribution toward an accelerated device design. An optimized sensor was then fabricated for these subjects based on the outcome of the simulations. In this paper, we explain how a computer aided subject-specific design was used to help fabricate and test our sensor.

scholarly journals Beam Hardening Artifact Reduction in X-Ray CT Reconstruction of 3D Printed Metal Parts Leveraging Deep Learning and CAD Models

2020 ◽  
Author(s):  
Amirkoushyar Ziabari ◽  
Singanallur Venkatakrishnan ◽  
Michael Kirka ◽  
Paul Brackman ◽  
Ryan Dehoff ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Critical Role ◽  
Simulated Data ◽  
Data Sets ◽  
Ct Reconstruction ◽  
Reconstruction Algorithms ◽  
Beam Hardening ◽  
X Ray ◽  
Cad Models ◽  
Aided Design

Abstract Nondestructive evaluation (NDE) of additively manufactured (AM) parts is important for understanding the impacts of various process parameters and qualifying the built part. X-ray computed tomography (XCT) has played a critical role in rapid NDE and characterization of AM parts. However, XCT of metal AM parts can be challenging because of artifacts produced by standard reconstruction algorithms as a result of a confounding effect called “beam hardening.” Beam hardening artifacts complicate the analysis of XCT images and adversely impact the process of detecting defects, such as pores and cracks, which is key to ensuring the quality of the parts being printed. In this work, we propose a novel framework based on using available computer-aided design (CAD) models for parts to be manufactured, accurate XCT simulations, and a deep-neural network to produce high-quality XCT reconstructions from data that are affected by noise and beam hardening. Using extensive experiments with simulated data sets, we demonstrate that our method can significantly improve the reconstruction quality, thereby enabling better detection of defects compared with the state of the art. We also present promising preliminary results of applying the deep networks trained using CAD models to experimental data obtained from XCT of an AM jet-engine turbine blade.

scholarly journals Study of resonant microstrip antennas on artificial neural networks

2020 ◽  
Vol 3 (9) ◽  
pp. 218-223
Author(s):  
Gauri Shankar ◽  
Manish Kumar ◽  
Bijendra Mohan
Keyword(s):  
High Frequency ◽  
Computer Aided Design ◽  
Integral Transformation ◽  
Neural Model ◽  
Microstrip Antennas ◽  
Substrate Thickness ◽  
Printed Antennas ◽  
Transformation Techniques ◽  
Wide Range ◽  
Aided Design

This paper presents a new model based on the backpropagation multilayered perception network to find accurately the bandwidth of both electrically thin and thick rectangular microstrip antennas. This proposed neural model does not require complicated Green's function methods and integral transformation techniques. The method can be used for a wide range of substrate thickness and permittivities and is useful for the computer-aided design of microstrip antennas. The results obtained by using this new method are in conformity with those reported elsewhere. This method may find wide applications in high-frequency printed antennas, especially at the millimeter-wave frequency range.

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