Expedited Simulation-Driven Multi-Objective Design Optimization of Quasi-Isotropic Dielectric Resonator Antenna

2016 ◽  
pp. 207-231 ◽  
Author(s):  
Adrian Bekasiewicz ◽  
Slawomir Koziel ◽  
Wlodzimierz Zieniutycz ◽  
Leifur Leifsson
Keyword(s):  
Design Optimization ◽  
Dielectric Resonator ◽  
Dielectric Resonator Antenna ◽  
Multi Objective

Design and Analysis of Wideband Dielectric Resonator Antenna with Bandwidth and Gain Enhancement for C-Band Applications

2018 ◽  
Vol 11 (6) ◽  
pp. 352 ◽  
Author(s):  
Sharif Ahmed Qasem ◽  
Tan Kim Geok ◽  
Mohamad Yusoff Alias ◽  
Ferdous Hossain ◽  
Naif Alsowaidi
Keyword(s):  
Dielectric Resonator ◽  
Dielectric Resonator Antenna ◽  
Gain Enhancement

Cylindrical Dielectric Resonator Antenna over Soft Ground Plane

2007 ◽  
Vol 17 (1) ◽  
pp. 1-30
Author(s):  
S.H. Zainud-Deen ◽  
E. El-Deen ◽  
H.A. Sharshar ◽  
M. A. Binyamin
Keyword(s):  
Dielectric Resonator ◽  
Ground Plane ◽  
Soft Ground ◽  
Dielectric Resonator Antenna

Erratum: End-fire TE221 mode of aperture coupled hemispherical dielectric resonator antenna

1993 ◽  
Vol 29 (14) ◽  
pp. 1310
Author(s):  
K.W. Leung ◽  
K.Y.A. Lai ◽  
K.M. Luk ◽  
D. Lin
Keyword(s):  
Dielectric Resonator ◽  
Dielectric Resonator Antenna

Perforated Dielectric Resonator Antenna Operating on Higher Order Mode

2018 ◽  
Author(s):  
Irfan Ali ◽  
Mohd Haizal Jamaluddin ◽  
Muhammad Ramlee Kamarudin ◽  
Abinash Gaya ◽  
S Raghuraman ◽  
...  
Keyword(s):  
Dielectric Resonator ◽  
Higher Order ◽  
Dielectric Resonator Antenna ◽  
Order Mode ◽  
Higher Order Mode

Integrated Design and Multi-Objective Optimization of a Single Stage Heat-Pump Turbocompressor

2013 ◽  
Author(s):  
J. Schiffmann
Keyword(s):  
Design Optimization ◽  
High Efficiency ◽  
Integrated Design ◽  
Heat Pumps ◽  
Small Scale ◽  
Multi Objective Optimization ◽  
Design Constraints ◽  
Multi Objective ◽  
Wide Range ◽  
Standard Design

Small scale turbomachines in domestic heat pumps reach high efficiency and provide oil-free solutions which improve heat-exchanger performance and offer major advantages in the design of advanced thermodynamic cycles. An appropriate turbocompressor for domestic air based heat pumps requires the ability to operate on a wide range of inlet pressure, pressure ratios and mass flows, confronting the designer with the necessity to compromise between range and efficiency. Further the design of small-scale direct driven turbomachines is a complex and interdisciplinary task. Textbook design procedures propose to split such systems into subcomponents and to design and optimize each element individually. This common procedure, however, tends to neglect the interactions between the different components leading to suboptimal solutions. The authors propose an approach based on the integrated philosophy for designing and optimizing gas bearing supported, direct driven turbocompressors for applications with challenging requirements with regards to operation range and efficiency. Using previously validated reduced order models for the different components an integrated model of the compressor is implemented and the optimum system found via multi-objective optimization. It is shown that compared to standard design procedure the integrated approach yields an increase of the seasonal compressor efficiency of more than 12 points. Further a design optimization based sensitivity analysis allows to investigate the influence of design constraints determined prior to optimization such as impeller surface roughness, rotor material and impeller force. A relaxation of these constrains yields additional room for improvement. Reduced impeller force improves efficiency due to a smaller thrust bearing mainly, whereas a lighter rotor material improves rotordynamic performance. A hydraulically smoother impeller surface improves the overall efficiency considerably by reducing aerodynamic losses. A combination of the relaxation of the 3 design constraints yields an additional improvement of 6 points compared to the original optimization process. The integrated design and optimization procedure implemented in the case of a complex design problem thus clearly shows its advantages compared to traditional design methods by allowing a truly exhaustive search for optimum solutions throughout the complete design space. It can be used for both design optimization and for design analysis.

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