The approach to optimization parameters of aluminium phthalocyanine-based nanophotosensitizers for phototheranostic

AbstractThe paper presents a method of optimizing frequency characteristics of filter banks in terms of their implementation in digital CMOS technologies in nanoscale. Usability of such filters is demonstrated by frequency-interleaved (FI) analog-to-digital converters (ADC). An analysis filter present in these converters was designed in switched-current technique. However, due to huge technological pitch of standard digital CMOS process in nanoscale, its characteristics substantially deviate from the required ones. NANO-studio environment presented in the paper allows adjustment, with transistor channel sizes as optimization parameters. The same environment is used at designing a digital synthesis filter, whereas optimization parameters are input and output conductances, gyration transconductances and capacitances of a prototype circuit. Transition between analog s and digital z domains is done by means of bilinear transformation. Assuming a lossless gyrator-capacitor (gC) multiport network as a prototype circuit, both for analysis and synthesis filter banks in FI ADC, is an implementation of the strategy to design filters with low sensitivity to parameter changes. An additional advantage is designing the synthesis filter as stable infinite impulse response (IIR) instead of commonly used finite impulse response (FIR) filters. It provides several dozen-fold saving in the number of applied multipliers.. The analysis and synthesis filters in FI ADC are implemented as filter pairs. An additional example of three-filter bank demonstrates versatility of NANO-studio software.

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Minimize the Deflection of Laminated Composite Plates under the External Load Using Fiber Orientation Angle

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.709.144 ◽

2014 ◽

Vol 709 ◽

pp. 144-147

Author(s):

Ying Tao Chen ◽

Song Xiang ◽

Wei Ping Zhao

Keyword(s):

Fiber Orientation ◽

External Load ◽

Optimization Problem ◽

Orientation Angle ◽

Laminated Composite ◽

Composite Plates ◽

Laminated Composite Plates ◽

Load Optimization ◽

Fiber Orientation Angle ◽

Optimization Parameters

Optimization of fiber orientation angle is studied to minimize the deflection of the laminated composite plates by the genetic algorithm. The objective function of optimization problem is the minimum deflection of laminated composite plates under the external load; optimization parameters are fiber orientation angle of laminated composite plates. The results for the optimal fiber orientation angle and the minimum deflection of the 4-layer plates are presented to demonstrate the validity of present method.

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A novel fractional order PID plus derivative (PIλDµDµ2) controller for AVR system using equilibrium optimizer

COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering ◽

10.1108/compel-02-2021-0044 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Abdulsamed Tabak

Keyword(s):

Fractional Order ◽

Transient Response ◽

Superior Performance ◽

Control Performance ◽

Proportional Integral Derivative ◽

Content Type ◽

Proportional Integral ◽

Avr System ◽

Optimization Parameters ◽

Fractional Order Pid

Purpose The purpose of this paper is to improve transient response and dynamic performance of automatic voltage regulator (AVR). Design/methodology/approach This paper proposes a novel fractional order proportional–integral–derivative plus derivative (PIλDµDµ2) controller called FOPIDD for AVR system. The FOPIDD controller has seven optimization parameters and the equilibrium optimizer algorithm is used for tuning of controller parameters. The utilized objective function is widely preferred in AVR systems and consists of transient response characteristics. Findings In this study, results of AVR system controlled by FOPIDD is compared with results of proportional–integral–derivative (PID), proportional–integral–derivative acceleration, PID plus second order derivative and fractional order PID controllers. FOPIDD outperforms compared controllers in terms of transient response criteria such as settling time, rise time and overshoot. Then, the frequency domain analysis is performed for the AVR system with FOPIDD controller, and the results are found satisfactory. In addition, robustness test is realized for evaluating performance of FOPIDD controller in perturbed system parameters. In robustness test, FOPIDD controller shows superior control performance. Originality/value The FOPIDD controller is introduced for the first time to improve the control performance of the AVR system. The proposed FOPIDD controller has shown superior performance on AVR systems because of having seven optimization parameters and being fractional order based.

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Selection of the Optimal Structural Design of a Spar Composite Wing

Proceedings of Higher Educational Institutions Маchine Building ◽

10.18698/0536-1044-2021-12-90-99 ◽

2021 ◽

pp. 90-99

Author(s):

O.V. Tatarnikov ◽

W.A. Phyo ◽

Lin Aung Naing

Keyword(s):

Optimal Design ◽

Element Analysis ◽

Minimal Weight ◽

Wing Structures ◽

Optimization Parameters ◽

Nonlinear Static ◽

Wing Structure ◽

Pareto Method ◽

Selection Of ◽

Composite Wing

This paper describes a method for optimizing the design of a spar-type composite aircraft wing structure based on multi-criterion approach. Two types of composite wing structures such as two-spar and three-spar ones were considered. The optimal design of a wing frame was determined by the Pareto method basing on three criteria: minimal weight, minimal wing deflection, maximal safety factor and minimal weight. Positions of wing frame parts, i.e. spars and ribs, were considered as optimization parameters. As a result, an optimal design of a composite spar-type wing was proposed. All the calculations necessary to select the optimal structural and design of the spar composite wing were performed using nonlinear static finite element analysis in the FEMAP with NX Nastran software package.

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Finding Better Local Optima in Topology Optimization via Tunneling

Volume 2B: 44th Design Automation Conference ◽

10.1115/detc2018-86116 ◽

2018 ◽

Cited By ~ 2

Author(s):

Shanglong Zhang ◽

Julián A. Norato

Keyword(s):

Topology Optimization ◽

Optimization Problems ◽

Structural Response ◽

Free Form ◽

Local Optima ◽

Design Representation ◽

Tunneling Method ◽

Optimization Parameters ◽

Gradient Based ◽

Geometric Primitives

Topology optimization problems are typically non-convex, and as such, multiple local minima exist. Depending on the initial design, the type of optimization algorithm and the optimization parameters, gradient-based optimizers converge to one of those minima. Unfortunately, these minima can be highly suboptimal, particularly when the structural response is very non-linear or when multiple constraints are present. This issue is more pronounced in the topology optimization of geometric primitives, because the design representation is more compact and restricted than in free-form topology optimization. In this paper, we investigate the use of tunneling in topology optimization to move from a poor local minimum to a better one. The tunneling method used in this work is a gradient-based deterministic method that finds a better minimum than the previous one in a sequential manner. We demonstrate this approach via numerical examples and show that the coupling of the tunneling method with topology optimization leads to better designs.

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Optimization of Powerful Two-stage Screw Centrifugal Pump

MATEC Web of Conferences ◽

10.1051/matecconf/201822003009 ◽

2018 ◽

Vol 220 ◽

pp. 03009 ◽

Cited By ~ 2

Author(s):

Oleg Baturin ◽

Grigorii Popov ◽

Daria Kolmakova ◽

Vasilii Zubanov ◽

Julia Novikova ◽

...

Keyword(s):

High Pressure ◽

Centrifugal Pump ◽

Mathematical Optimization ◽

Pressure Head ◽

Low Pressure ◽

Calculation Model ◽

Pump Efficiency ◽

Rotor Speed ◽

Two Stage ◽

Optimization Parameters

The article presents a refining method for a two-stage screw centrifugal pump by the joint usage of mathematical optimization software IOSO, meshing complex NUMECA and CFD software ANSYS CFX. The pump main parameters: high-pressure stage rotor speed was 13300 rpm; low-pressure rotor speed was 3617 rpm by gearbox; inlet total pressure was 0.4 MPa; outlet mass flow was 132.6 kg/s at the nominal mode. This article describes the process of simplifying the calculation model for the optimization. The parameters of camber lines of the low-pressure impeller, transition duct, and high-pressure impeller blades for two sections (hub and shroud) were chosen as optimization parameters. The blades of low-pressure impeller, transition duct and high-pressure impeller have changed during optimization. The optimization goal was the increase of the pump efficiency with preservation or slight increase in the pressure head. The efficiency was increased by 3%.

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Optimization of chemical mechanical polishing parameters on surface roughness of steel substrate with aluminum nanoparticles via Taguchi approach

Industrial Lubrication and Tribology ◽

10.1108/ilt-07-2012-0063 ◽

2014 ◽

Vol 66 (6) ◽

pp. 685-690 ◽

Cited By ~ 2

Author(s):

De-Xing Peng

Keyword(s):

Flow Rate ◽

Chemical Mechanical Polishing ◽

Steel Substrate ◽

Value Added ◽

Mechanical Polishing ◽

Slurry Flow ◽

Average Roughness ◽

Content Type ◽

Optimization Parameters ◽

Slurry Flow Rate

Purpose – The purpose of this paper is to investigate the effects of abrasive contents, oxidizer contents, slurry flow rate and polishing time in achieving a mirror-like finish on polished surfaces. Chemical mechanical polishing (CMP) is now widely used in the aerospace industry for global planarization of large, high value-added components. Design/methodology/approach – Optimal parameters are applied in experimental trials performed to investigate the effects of abrasive contents, oxidizer contents, slurry flow rate and polishing time in achieving a mirror-like finish on polished surfaces. Taguchi design experiments are performed to optimize the parameters of CMP performed in steel specimens. Findings – Their optimization parameters were found out; the surface scratch, polishing fog and remaining particles were reduced; and the flatness of the steel substrate was guaranteed. The average roughness (Ra) of the surface was reduced to 6.7 nm under the following process parameters: abrasive content of 2 weight per cent, oxidizer content of 2 weight per cent, slurry flow rate of 100 ml/min and polishing time of 20 min. Originality/value – To meet the final process requirements, the CMP process must provide a good planarity, precise selectivity and a defect-free surface. Surface planarization of components used to fabricate aerospace devices is achieved by CMP process, which enables global planarization by combining chemical and mechanical interactions.

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