Off-centered stagnation point flow of an experimental-based hybrid nanofluid impinging to a spinning disk with low to high non-alignments

Dinarvand, Saeed; Nejad, Alireza Mahdavi

doi:10.1108/hff-09-2021-0637

Cited by 43 publications

(16 citation statements)

References 41 publications

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“…Viscosity is the property of a fluid to resist the shear forces acting on it. There are two ways of expressing viscosity: the kinetic (absolute) viscosity μ and the kinematic viscosity υ, which are related as follows [5][6].…”

Section: Viscosity Of the Fluidmentioning

confidence: 99%

Design of an All-electric Bus Cooling System Incorporating Computational Fluid Dynamics

2022

KME

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With the emphasis on renewable energy and environmental protection, new energy vehicles are gradually entering the social space and electric vehicles are once again moving to new heights. The aim of this paper is to investigate the design of a cooling system for a purely electric bus incorporating computational fluid dynamics. This paper follows the principle of "determine the heat source distribution of the prototype -calculate the temperature rise of the prototype -design an optimised cooling structure -analyse the cooling effect -propose the design of the prototype cooling structure". This paper studies the temperature rise and cooling of the prototype, focusing on the effect of different cooling structures on the temperature rise of the prototype. Based on the heat transfer, a finite element model of the engine is established and the losses and heat source distribution of the prototype are calculated by combining empirical equations and MAP diagrams of the engine losses. The heat transfer process of the engine is investigated, including the heat transfer process within and between the components of the prototype in contact with each other, and the convective heat transfer process between the prototype and the fluid contact surface. Based on the CFD (Computational Fluid Dynamics) method, the flow and temperature fields of the physical air-cooled prototype are calculated using the existing CFD mathematical model, and the influence of the flow field of the prototype heat exchanger ventilation duct on the engine temperature rise is analysed. A forced air cooling solution for the prototype was proposed to determine the structure of the vents, the location of the ventilation holes and the size of the cooling fan. The effect of forced air cooling on the temperature rise of the prototype is compared with the effect of natural air cooling. A parallel water jacket should be designed and its structure optimised in order to compare the effect of the water jacket on the temperature rise of the prototype before and after optimisation. Finally, all studies are combined to provide reference recommendations for the design of the prototype cooling structure.

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Section: Viscosity Of the Fluidmentioning

confidence: 99%

Design of an All-electric Bus Cooling System Incorporating Computational Fluid Dynamics

2022

KME

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“…The calculated parameters in this program include turbine inlet and outlet pressures at all levels, dryness, flow rate, efficiency, power, nozzle dynamic lobe height, etc. The conversion function in the program is used to reconvert the double precision real variables to text information in a text box, which is written in the text box component for output [13][14].…”

Section: Writing Of the Main Programmentioning

confidence: 99%

Modelling Analysis of a Saturated Steam Turbine with Respect to Multi-body Dynamics

2022

KME

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In petroleum, chemical, light industry, metallurgy, building materials, paper making, textile and other industrial enterprises there is a large amount of low-grade energy a low-pressure saturated steam, these low-grade energy except for a small amount of recycling, a large number of emptying, resulting in a great waste of energy. The aim of this paper is to investigate the modelling analysis of saturated steam turbines with respect to multi-body dynamics. The paper systematically analyses methods and key technologies for the recovery and utilisation of low-value thermal energy, as well as the design, development and optimisation of specific industrial low-pressure saturated steam turbines to improve the performance of waste heat recovery systems. Energy conservation and reduction of consumption are of great importance to industrial companies. to reduce the risk of steam-induced blade corrosion. A small 100 kW waste heat recovery turbine was designed for liquid saturated steam at a flow rate of 1 tonne per hour and a pressure of 0.8 MPa. The unit is characterised by its high efficiency and small structural dimensions. This feature is intended to solve the problem of low efficiency and difficulties in recovering waste heat due to the uneven distribution of the heat source and its small size. The application site can be a small factory or a house. This paper focuses on the structural design and calibration of key turbine components, such as moving blades, impellers and cylinders. The maximum error of the hybrid model in this paper is experimentally proven to be within 3%, indicating that the hybrid model of the turbine body is consistent with the actual operating conditions and meets the engineering accuracy requirements.

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“…Peng J proposed Auto Rec, a new automatic encoder framework for collaborative filtering. Auto Rec is a compact and efficient trainable model [2].…”

Section: Machine Learning Theory and Practicementioning

confidence: 99%

Collaborative Filtering Algorithm based on Hybrid Machine Learning Optimization

2020

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Under the influence of the mobile Internet era, users' patience is increasingly limited. Future recommendation algorithms should quickly respond to users' urgent needs to save users' time. Under the background of big data, how to ensure the relatively low complexity and high accuracy of information push and display is a very valuable topic. Therefore, this paper discusses and analyzes the collaborative filtering algorithm (CFA) based on hybrid machine learning (ML) optimization. In this paper, the research background and significance of CFA are first described, including the development status of collaborative filtering recommendation algorithm, the research status of association rule recommendation algorithm and particle swarm optimization algorithm, and the problems in collaborative filtering recommendation algorithm. A new hybrid CFA model is proposed based on the hybrid ML optimization. This paper designs a simulation table of three recommendation algorithms to verify the proposed CFA. The experiment shows that the recall rate of the CFA proposed in this paper based on the hybrid ML optimization is not lower than other recommendation algorithms, which verifies the effectiveness of this algorithm.

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Off-centered stagnation point flow of an experimental-based hybrid nanofluid impinging to a spinning disk with low to high non-alignments

Cited by 43 publications

References 41 publications

Design of an All-electric Bus Cooling System Incorporating Computational Fluid Dynamics

Design of an All-electric Bus Cooling System Incorporating Computational Fluid Dynamics

Modelling Analysis of a Saturated Steam Turbine with Respect to Multi-body Dynamics

Collaborative Filtering Algorithm based on Hybrid Machine Learning Optimization

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