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Wyświetlanie 1-4 z 4
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:
Facilitating optimal operations of a wave Energy converter using a preeminent mooring line: an entropy weight-VIKOR method
Autorzy:
Nwaoha, Thaddeus C.
Udosoh, Nsisong E.
Powiązania:
https://bibliotekanauki.pl/articles/2106432.pdf
Data publikacji:
2022
Wydawca:
Politechnika Koszalińska. Wydawnictwo Uczelniane
Tematy:
mooring line
alternatives
criteria
wave energy converter
entropy weight
VIKOR
liny cumownicze
rozwiązania alternatywne
kryteria
energia fal
przetwornik energii
entropia wagi
Opis:
This study employed viable methods for the selection of a preeminent mooring line amongst other alternatives for the mooring of a floating wave energy converter (WEC) in shallow waters. Conventional mooring lines for WEC mooring are identified for an optimal selection exercise. A combination of the Entropy Weight and Visekriterijumska Optimizacijia I Kompromisno Resenje (VIKOR) methods is utilized in the aforementioned exercise. The two methods are effectively used in an assessment of the attributes and performance of various mooring lines in practical application. The result obtained demonstrated that a steel wire rope is the best mooring line suitable for WEC system operations. It constitutes a good reference to marine and offshore engineering industries in decision making related to optimal mooring lines suitable for the mooring of a WEC system in shallow waters.
Źródło:
Journal of Mechanical and Energy Engineering; 2022, 6, 1; 77--84
2544-0780
2544-1671
Pojawia się w:
Journal of Mechanical and Energy Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy comprehensive model of manufacturing industry transfer risk based on economic big data analysis
Autorzy:
Sun, Tong
Liu, Chunzhi
Powiązania:
https://bibliotekanauki.pl/articles/2173644.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
economic big data
manufacturing industry
industrial transfer risk
entropy weight method
fuzzy model
duże zbiory danych ekonomicznych
przemysł wytwórczy
ryzyko transferu przemysłowego
metoda wag entropii
model rozmyty
Opis:
Aiming at the problems of low accuracy, low efficiency and low stability of traditional methods and recent developments in advanced technology incite the industries to be in sync with modern technology. With respect to various available techniques, this paper designs a fuzzy comprehensive evaluation model of the manufacturing industry for transferring risk based on economic big-data analytics. The big-data analysis method is utilized to obtain the data source of fuzzy evaluation of the manufacturing industry to transfer risk using data as the basis of risk evaluation. Based on the risk factors, the proposed model establishes the risk index system of the manufacturing industry and uses the expert evaluation method to design the scoring method of the evaluation index system. To ensure the accuracy of the evaluation results, the manufacturing industry’s fuzzy comprehensive model is established using the entropy weight method, and the expert evaluation results are modified accordingly. The experimental results show that the highest efficiency of the proposed method is 96%, the highest accuracy of the evaluation result is 75%. The evaluation result’s stability is higher than the other existing methods, which fully verifies the effectiveness and can provide a reliable theoretical basis for enterprise risk evaluation research.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 2; art. no. e139959
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-objective optimization of PCM-fin structure for staggered Li-ion battery packs
Autorzy:
Qiu, Chenghui
Wu, Chongtian
Yuan, Xiaolu
Wu, Linxu
Yang, Jiaming
Shi, Hong
Powiązania:
https://bibliotekanauki.pl/articles/27311457.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
staggered arrangement
phase change material
fin
multi-objective optimization
thermal management
entropy weight
TOPSIS method
technique for order of preference by similarity to ideal solution
układ naprzemienny
materiał o przemianie fazowej
materiał zmieniający fazę
płetwa
optymalizacja wielocelowa
optymalizacja wieloobiektowa
zarządzanie ciepłem
entropia wagi
metoda TOPSIS
technika porządkowania preferencji według podobieństwa do idealnego rozwiązania
Opis:
Endurance capability is a key indicator to evaluate the performance of electric vehicles. Improving the energy density of battery packs in a limited space while ensuring the safety of the vehicle is one of the currently used technological solutions. Accordingly, a small space and high energy density battery arrangement scheme is proposed in this paper. The comprehensive performance of two battery packs based on the same volume and different space arrangements is compared. Further, based on the same thermal management system (PCM-fin system), the thermal performance of staggered battery packs with high energy density is numerically simulated with different fin structures, and the optimal fin structure parameters for staggered battery packs at a 3C discharge rate are determined using the entropy weight-TOPSIS method. The result reveals that increasing the contact thickness between the fin and the battery (X) can reduce the maximum temperature, but weaken temperature homogeneity. Moreover, the change of fin width (A) has no significant effect on the heat dissipation performance of the battery pack. Entropy weight-TOPSIS method objectively assigns weights to both maximum temperature (Tmax) and temperature difference (DT) and determines the optimal solution for the cooling system fin parameters. It is found that when X = 0:67 mm, A = 0:6 mm, the staggered battery pack holds the best comprehensive performance.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 4; art. no. e145677
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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