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Tytuł:
Statistical Optimization of the Preparation of HNIW Nanoparticles via Oil in Water Microemulsions
Autorzy:
Bayat, Y.
Zarandi, M.
Khadiv-Parsi, P.
Salimi Beni, A.
Powiązania:
https://bibliotekanauki.pl/articles/358341.pdf
Data publikacji:
2015
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Przemysłu Organicznego
Tematy:
HNIW
microemulsion
surfactant
nanoparticle
parameter optimization
Opis:
HNIW (2,4,6,8,10,12-hexanitro-2,4,6,8,10,12-hexaazaisowurtzitane) is a family member of high-energy density cage nitramines which have so many versatile applications. In this paper, HNIW nanoparticles were prepared by the oil in water microemulsion route. The effects of various experimental parameters on this reaction were investigated using the Taguchi method. The effects of different variables: organic phase, water/organic phase (W1/W2), organic phase/ propanol (W3/W4) and HNIW weight percent, on the particle size of the HNIW were investigated at three distinct levels. Optimal conditions for obtaining HNIW nanoparticles were determined. Performing the process under the optimal conditions proposed by the Taguchi method leads to the production of HNIW nanoparticles with an average size of about 80 nm. The HNIW nanoparticles were characterized using Scanning Electron Microscopy (SEM), Dynamic Light Scattering (DLS), Differential Thermal Analysis (DTA) and X-Ray Diffraction (XRD).
Źródło:
Central European Journal of Energetic Materials; 2015, 12, 3; 459-472
1733-7178
Pojawia się w:
Central European Journal of Energetic Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Survey on multi-objective based parameter optimization for deep learning
Autorzy:
Chakraborty, Mrittika
Pal, Wreetbhas
Bandyopadhyay, Sanghamitra
Maulik, Ujjwal
Powiązania:
https://bibliotekanauki.pl/articles/27312917.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
deep learning
multi-objective optimization
parameter optimization
neural networks
Opis:
Deep learning models form one of the most powerful machine learning models for the extraction of important features. Most of the designs of deep neural models, i.e., the initialization of parameters, are still manually tuned. Hence, obtaining a model with high performance is exceedingly time-consuming and occasionally impossible. Optimizing the parameters of the deep networks, therefore, requires improved optimization algorithms with high convergence rates. The single objective-based optimization methods generally used are mostly time-consuming and do not guarantee optimum performance in all cases. Mathematical optimization problems containing multiple objective functions that must be optimized simultaneously fall under the category of multi-objective optimization sometimes referred to as Pareto optimization. Multi-objective optimization problems form one of the alternatives yet useful options for parameter optimization. However, this domain is a bit less explored. In this survey, we focus on exploring the effectiveness of multi-objective optimization strategies for parameter optimization in conjunction with deep neural networks. The case studies used in this study focus on how the two methods are combined to provide valuable insights into the generation of predictions and analysis in multiple applications.
Źródło:
Computer Science; 2023, 24 (3); 327--359
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research on Forming Parameters Optimization of Incremental Sheet Forming Processf or Commercially Pure Titanium Grade 2 Sheets
Autorzy:
Szpunar, Marcin
Trzepieciński, Tomasz
Ostrowski, Robert
Zwolak, Marek
Powiązania:
https://bibliotekanauki.pl/articles/2174594.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
incremental sheet forming
forces
fracture
parameter optimization
titanium
Opis:
This study aims to determine optimal forming parameters for Incremental Sheet Forming process Commercially Pure titanium Grade 2 sheets in terms of formability improvement, force reduction, and efficiency of forming. Based on the central composite design, data were collected during 20 runs and then variation analysis was performed. The experiments were performed on a 3 axis CNC milling machine equipped with a Kistler dynamometer plate. Subsequently, regression models have been developed to describe process responses by input factors. As crucial parameters, the relative velocity and step size of the tool that affect the forming force and the height of the fracture have been determined. Finally, the application of optimization algorithm has emerged optimal input factors in terms of selected multi-criteria goal. The results of this study suggest that there is a process window that allows the formation of 45° wall angle drawpieces of commercially pure titanium Grade 2.
Źródło:
Archives of Metallurgy and Materials; 2022, 67, 4; 1411--1418
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Parameter optimization of dosator for technique culturs on the quantity intervals, close by to calculation
Parametricheskaja optimizacija dozatora dlja tekhnicheskikh kultur po kolichestvu intervalov, blizkikh k raschetnomu
Autorzy:
Belodedov, V.
Nosko, P.
Boyko, G.
Fil, P.
Mazneva, M.
Powiązania:
https://bibliotekanauki.pl/articles/792300.pdf
Data publikacji:
2013
Wydawca:
Komisja Motoryzacji i Energetyki Rolnictwa
Tematy:
parameter optimization
dosator
culture technique
calculation
optimization
multifactorial experiment
orthogonal planning
Źródło:
Teka Komisji Motoryzacji i Energetyki Rolnictwa; 2013, 13, 4
1641-7739
Pojawia się w:
Teka Komisji Motoryzacji i Energetyki Rolnictwa
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fault diagnosis of power transformer based on improved particle swarm optimization OS-ELM
Autorzy:
Li, Yuancheng
Ma, Longqiang
Powiązania:
https://bibliotekanauki.pl/articles/140428.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
power transformer
fault diagnosis
improved particle swarm optimization
OS-ELM
parameter optimization
Opis:
A transformer is an important part of power transmission and transformation equipment. Once a fault occurs, it may cause a large-scale power outage. The safety of the transformer is related to the safe and stable operation of the power system. Aiming at the problem that the diagnosis result of transformer fault diagnosis method is not ideal and the model is unstable, a transformer fault diagnosis model based on improved particle swarm optimization online sequence extreme learning machine (IPSO-OS-ELM) algorithm is proposed. The improved particle swarmoptimization algorithm is applied to the transformer fault diagnosis model based on the OS-ELM, and the problems of randomly selecting parameters in the hidden layer of the OS-ELM and its network output not stable enough, are solved by optimization. Finally, the effectiveness of the improved fault diagnosis model in improving the accuracy is verified by simulation experiments.
Źródło:
Archives of Electrical Engineering; 2019, 68, 1; 161-172
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Parameter optimization dosator of the seeding of a sugar beet on the coefficient variation of intervals
Parametricheskaja optimizacija vyseva sakharnojj svekly po koehfficentu variancii intervalov
Autorzy:
Belodedov, V.
Nosko, P.
Boyko, G.
Fil, P.
Mazneva, M.
Powiązania:
https://bibliotekanauki.pl/articles/793354.pdf
Data publikacji:
2012
Wydawca:
Komisja Motoryzacji i Energetyki Rolnictwa
Tematy:
sugar-beet
seedling
variation coefficient
parameter optimization
dosator
multifactorial experiment
orthogonal planning
Opis:
Results of multifactorial experiment by orthogonal planning for four factors: height and diameter of seed tube, rotary speed of seed disk and speed movement of seeder are presented. Experiment results were analyzed according to generally accepted methods. Adequate model was received. Influence of each factor on coefficient of variation intervals between seeds and optimal value of each factor were determined.
Представлены результаты многофакторного эксперимента, поставленного по матрице ортогонального планирования для четырех факторов: высоты и диаметра семяпровода, а также скорости вращения высевающего диска и движения ленты стенда. Результаты экспериментов обработаны в соответствии с методикой, характерной для ортогонального планирования, получена адекватная математическая модель процесса, по которой установлено влияние факторов и оптимальные условия высева.
Źródło:
Teka Komisji Motoryzacji i Energetyki Rolnictwa; 2012, 12, 4
1641-7739
Pojawia się w:
Teka Komisji Motoryzacji i Energetyki Rolnictwa
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization of drilling parameters for aluminum metal matrix composite using entropy-weighted TOPSIS under MQL conditions
Autorzy:
Ghalme, Sachin G.
Karolczak, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/38910718.pdf
Data publikacji:
2023
Wydawca:
Instytut Podstawowych Problemów Techniki PAN
Tematy:
Al metal matrix composite
drilling; parameter optimization
entropy weight
grey relational analysis
Opis:
The aim of the present work is to understand the effect of drilling parameters (drill speed and feed rate) during the drilling of a Saffil fiber-reinforced Al metal matrix composite (MMC) under minimum quantity lubrication (MQL) condition. The effect of drilling parameters on individual response characteristics is evaluated and the optimum drilling parameters are also investigated using a multi-response optimization technique known as the entropy-weighted technique for order performance by similarity to ideal solution (EWTOPSIS). The drilling parameter optimization is performed with the aim of minimizing surface roughness in the drilled hole, roundness error in the drilled hole and feed force during drilling. The drilling parameters have a significant effect on individual responses. Weights were assigned to each response using the entropy weight method, and closeness coefficients were calculated to obtain the optimal level for the drilling parameters. A drill speed of 11 m/min and a feed rate of 0.05 mm/rev are the optimal combination to minimize the desired output responses simultaneously.
Źródło:
Engineering Transactions; 2023, 71, 4; 595-616
0867-888X
Pojawia się w:
Engineering Transactions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Aerodynamic performance of a new double-flap wing sail
Autorzy:
Li, Dongqin
Zhang, Yili
Li, Peng
Dai, Jingjing
Li, Guohuan
Powiązania:
https://bibliotekanauki.pl/articles/260534.pdf
Data publikacji:
2019
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
double-flap wing sail
aerodynamic performance
Computational Fluid Dynamics (CFD)
parameter optimization
Opis:
As a type of natural energy resource, wind power is used in the modern implementation of wind-assisted technologies as a method for reducing the fuel consumption and environmental pollution of ocean-going ships. In order to promote the full usage of ocean wind energy for cargo ships, an innovative type of ship propulsion-assisted wing sail is proposed in this paper. The propulsion efficiency of this new wing sail can be increased by enlarging its area in both the transverse and vertical directions in good weather conditions, and it can be folded up automatically in poor weather conditions, improving the sailing safety of the ship. The sail parameters relating to the gaps and rotation angles between different parts of the wing sail are compared, and the values giving the best aerodynamic performance are identified using CFD simulation technology. The results for the lift and drag coefficients for the new wing sail at different attack angles are also compared with those of traditional aerofoil sails, including an arc-shaped rigid sail and a variable-camber sail proposed in 2015. From the viewpoint of the sailing performance of the vessel, our results demonstrate that this new type of wing sail has good aerodynamic performance and can reduce fuel costs for commercial vessels.
Źródło:
Polish Maritime Research; 2019, 4; 61-68
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Badanie procesu spulchniania gleby wibracyjnym zespołem podkopującym
Study of the process of soil loosening by means of vibrating digging unit
Autorzy:
Rapinchuk, A.L.
Baranovskiy, I. A.
Kassar, F. H.
Tanaś, W.
Szymanek, M.
Powiązania:
https://bibliotekanauki.pl/articles/337622.pdf
Data publikacji:
2016
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Maszyn Rolniczych
Tematy:
parametry pracy
deformacja gruntu
optymalizacja parametrów
operating parameters
deformation of soil
parameter optimization
Opis:
W publikacji przedstawiono analizę wyników badań eksperymentalnych wibracyjnego zespołu podkopującego. Analizie poddano wpływ amplitudy, częstotliwości drgań podkopujących łap oraz prędkości roboczej na zapotrzebowanie mocy. Przeprowadzono optymalizację parametrów deformacji gruntu.
The paper presents an analysis of experimental study results of vibrating digging unit. The impact of amplitude, frequency of vibrating digging shares and the operating speed on power consumption were analyzed. The soil deformation parameters were optimized.
Źródło:
Journal of Research and Applications in Agricultural Engineering; 2016, 61, 1; 66-69
1642-686X
2719-423X
Pojawia się w:
Journal of Research and Applications in Agricultural Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimizacija parametrov chistovojj obrabotki plasticheskim deformirovaniem valov
Parameters optimization of the finishing with plastic deformation of the shafts
Autorzy:
Kjurchev, S.
Penev, O.
Mirnenko, Y.
Sosnowskijj, S.
Powiązania:
https://bibliotekanauki.pl/articles/76382.pdf
Data publikacji:
2016
Wydawca:
Komisja Motoryzacji i Energetyki Rolnictwa
Tematy:
plastic deformation
plastic processing
running surface
layer deformation
heat flux
surface roughness
parameter optimization
Źródło:
Motrol. Motoryzacja i Energetyka Rolnictwa; 2016, 18, 1
1730-8658
Pojawia się w:
Motrol. Motoryzacja i Energetyka Rolnictwa
Dostawca treści:
Biblioteka Nauki
Artykuł
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