Wideband Quad-Ridged Flared Horn Feed Design and Optimization Based on PSO Algorithm

This study investigated the kinetics of isothermal torrefaction of sorghum distilled residue (SDR), the main byproduct of the sorghum liquor-making process. The samples chosen were torrefied isothermally at five different temperatures under a nitrogen atmosphere in a thermogravimetric analyzer. Afterward, two different kinetic methods, the traditional model-free approach, and a two-step parallel reaction (TPR) kinetic model, were used to obtain the torrefaction kinetics of SDR. With the acquired 92–97% fit quality, which is the degree of similarity between calculated and real torrefaction curves, the traditional method approached using the Arrhenius equation showed a poor ability on kinetics prediction, whereas the TPR kinetic model optimized by the particle swarm optimization (PSO) algorithm showed that all the fit qualities are as high as 99%. The results suggest that PSO can simulate the actual torrefaction kinetics more accurately than the traditional kinetics approach. Moreover, the PSO method can be further employed for simulating the weight changes of reaction intermediates throughout the process. This computational method could be used as a powerful tool for industrial design and optimization in the biochar manufacturing process.

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Design and Optimization of a Millimetre Wave Compact Folded Magic-T

International Journal of Antennas and Propagation ◽

10.1155/2012/838962 ◽

2012 ◽

Vol 2012 ◽

pp. 1-6 ◽

Cited By ~ 5

Author(s):

Guang Hua ◽

Jiefu Zhang ◽

Jiudong Wu ◽

Wei Hong

Keyword(s):

Particle Swarm Optimization ◽

Return Loss ◽

Pso Algorithm ◽

Geometrical Parameters ◽

Design Features ◽

Swarm Optimization ◽

Millimetre Wave ◽

Design And Optimization ◽

Centre Frequency ◽

W Band

A millimetre wave-folded magic-T junction compensated with metal cone is designed using a particle swarm optimization (PSO) algorithm. An off-centred metallic frustum was used to enhance the bandwidth and a metallic post is used to compensate the mismatched E-arm. The geometrical parameters of the frustum and the post are optimized by PSO. The optimized magic-T for W-band application is designed and tested. The design features are simple in structure and easy to fabricate. The 2% bandwidth with centre frequency of 94 GHz and return loss less than −20 dB is achieved.

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Automatic Circuit Design and Optimization Using Modified PSO Algorithm

Journal of Engineering Science and Technology Review ◽

10.25103/jestr.091.14 ◽

2016 ◽

Vol 9 (1) ◽

pp. 89-94 ◽

Cited By ~ 2

Author(s):

Subhash Patel ◽

◽

Rajesh A. Thakker ◽

Keyword(s):

Circuit Design ◽

Pso Algorithm ◽

Design And Optimization ◽

Modified Pso

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Design and Optimization of Lightly Doped CNTFET Architectures Based on NEGF Method and PSO Algorithm

ECS Journal of Solid State Science and Technology ◽

10.1149/2.0121904jss ◽

2019 ◽

Vol 8 (4) ◽

pp. M39-M44

Author(s):

Zoheir Kordrostami ◽

Amin Ghasemi Nejad Raeini ◽

Hossein Ghoddus

Keyword(s):

Pso Algorithm ◽

Design And Optimization

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Design and Optimization of an Antenna Array for future 5G Applications using PSO Algorithm

10.1109/gcat52182.2021.9587552 ◽

2021 ◽

Author(s):

Prashant Babbar ◽

Sanjeev Saxena ◽

Shubham Mishra ◽

Asmita Rajawat

Keyword(s):

Antenna Array ◽

Pso Algorithm ◽

Design And Optimization

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Metaheuristic Design and Optimization of Fuzzy-Based Gas Turbine Engine Fuel Controller Using Hybrid Invasive Weed Optimization/Particle Swarm Optimization Algorithm

Journal of Engineering for Gas Turbines and Power ◽

10.1115/1.4025884 ◽

2013 ◽

Vol 136 (3) ◽

Cited By ~ 9

Author(s):

E. Mohammadi ◽

M. Montazeri-Gh ◽

P. Khalaf

Keyword(s):

Particle Swarm Optimization ◽

Objective Function ◽

Gas Turbine ◽

Pso Algorithm ◽

Engine Fuel ◽

Invasive Weed Optimization ◽

Invasive Weed ◽

Swarm Optimization ◽

Turbine Engine ◽

Design And Optimization

This paper presents the metaheuristic design and optimization of fuzzy-based gas turbine engine (GTE) fuel flow controller by means of a hybrid invasive weed optimization/particle swarm optimization (IWO/PSO) algorithm as an innovative guided search technique. In this regard, first, a Wiener model for the GTE as a block-structured model is developed and validated against experimental data. Subsequently, because of the nonlinear nature of GTE, a fuzzy logic controller (FLC) strategy is considered for the engine fuel system. For this purpose, an initial FLC is designed and the parameters are then tuned using a hybrid IWO/PSO algorithm where the tuning process is formulated as an engineering optimization problem. The fuel consumption, engine safety, and time response are the performance indices of the defined objective function. In addition, two sets of weighting factors for objective function are considered, whereas in one of them savings in fuel consumption and in another achieving a short response time for the engine is a priority. Moreover, the optimization process is performed in two stages during which the database and the rule base of the initial FLC are tuned sequentially. The simulation results confirm that the IWO/PSO-FLC approach is effective for GTE fuel controller design, resulting in improved engine performance as well as ensuring engine protection against physical limitations.

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