many interesting results for the design of convective cooling systems McConnel and Pingen [38] interpolates the thermal diffusivity for the design of layered pseudo-3D problems using the Lattice-Boltzmann-Method Marck et al [39] presented topology optimisation of multi-objective heat exchanger problems using the finite volume method A multi-objective genetic algorithm optimization method was presented by Gholamalizadeh and Kim [28] for an SCPP system to simultaneously optimize the total efficiency power output and expenditure obtaining optimal geometric parameters This optimization investigation has been carried out to

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Feb 01 2018The multi-objective optimization of the drying process parameters Abstract The effect of drying temperature and air velocity on apple quality parameters such as color difference (CD) volume ratio (VR) and water absorption capacity (WAC) in convective drying was experimentally studied

Jun 23 2011In this study application of a multi-objective optimization technique based on response surface methodology has been presented Quince slices were dehydrated using osmotic dehydration with sucrose solutions at different concentration (40 and 60 Brix) processing time (1 1 5 and 2 h) and ultrasonication time (0 15 and 30 min) were the factors investigated with respect to water loss solid

The aim of this work was to propose a green urea production strategy using a multi‐objective optimization (MOO ) model to minimize production costs and environmental impacts by considering the future cost development of technologies and feedstock price for each technology in

Aug 24 2013Optimum technology of spray-dried jujube powder was studied using a Box-Benhnken design Effects of weight ratio of maltodextrin and the dry matter weight of jujube pulp (WR 3–5) inlet air temperature (T 140–160 C) and shift of feed flow rate (FFR 3–5) on the quality attributes (moisture content lightness the total color difference vitamin C (VC) content and hygroscopicity) of

Jalal Dehghannya Parya Farshad Maryam Khakbaz Heshmati Three-stage hybrid osmotic–intermittent microwave–convective drying of apple at low temperature and short time Drying Technology 10 1080/07373937 2018 1432642 36 16 (1982-2005) (2018)

Customizing Pareto Simulated Annealing for Multi

Jun 04 2019In this paper we describe an approach for multi-objective optimization of control cabinet layout that is based on Pareto Simulated Annealing Optimization aims at minimizing the total wire length used for interconnection of components and the heat convection within the cabinet We simulate heat convection to study the warm air flow within the

Multi-objective shape optimization of runner blade for Kaplan turbine A Semenova1 D Chirkov2 A Lyutov2 S Cherny2 V Skorospelov3 I Pylev1 1 ОJSC Power machines LMZ Saint Petersburg Russia 2 Institute of Computational Technologies SB RAS Novosibirsk Russia 3 Institute of Mathematics SB RAS Novosibirsk Russia semenova_avlmz power-m ru

Fig 10 Multi-objective optimization impacts on design Results When completed this multi-objective optimization algorithm can reduce development time and costs for any converter topology and application Applications of interest include high power density converters such as those used in electrified naval or aircraft systems and

Design and operational performance of convective industrial dryers are an important field of chemical engineering which is still governed by empiricism This article addresses the design vs operation problem for three basic types of continuous convective

The purpose of this paper is to optimize the structural sizes of multi-layer rectangle micro-channel heat sink which has been widely used to cool electronic chip for its high heat transfer coefficient and compact structure Taking the thermal resistance and the pressure drop as goal functions a binary-objective optimization model was proposed for the multi-layer rectangle micro-channel heat

Aug 01 2020Vortex generators shape optimization via multi-objective large space exploration design • Simulations performed under forced convection laminar flow regimes • Optimization parameters: attack angle roll angle base angles length height and shape length • Heat transfer enhancement relative to empty channel by 35%

HEFAT2014 10th International Conference on Heat Transfer Fluid Mechanics and Thermodynamics 14 – 26 July 2014 Orlando Florida MULTI-OBJECTIVE OPTIMIZATION OF A LOW-TEMPERATURE TRANSCRITICAL ORGANIC RANKINE CYCLE FOR WASTE HEAT RECOVERY Lecompte S 1 2* Lazova M 1 van den Broek M 1 2 De Paepe M 1 *Author for correspondence

Furthermore a multi-objective teaching–learning-based optimization algorithm was used to deal with the models The optimization results indicated that the use of cutting fluids could significantly reduce carbon emissions and machining cost and improve production efficiency in multi-pass turning operations

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The present paper addresses the multi-objective optimization of the filling stage of the Resin Infusion manufacturing process The optimization focuses on the selection of an opti-mal temperature profile which addresses the tradeoff between filling time and the risk of impeding the flow of resin due to excessive curing

Jun 23 2011In this study application of a multi-objective optimization technique based on response surface methodology has been presented Quince slices were dehydrated using osmotic dehydration with sucrose solutions at different concentration (40 and 60 Brix) processing time (1 1 5 and 2 h) and ultrasonication time (0 15 and 30 min) were the factors investigated with respect to water loss solid

Jan 01 2020The results obtained in this study showed that as compared to convective drying case of savory leaves the drying time can be shortened significantly using infrared-hot air drying For example 60–200 min at 35–60 C ( Dudas et al 2013 ) 130–240 min at 40–70 C with 1 m/s air velocity ( Nikjooy and Hashemi 2014 ) and 540 min at 50

Multi-Objective Optimization of a Passive Micromixer Based on Periodic Variation of Velocity Profile For mixing analysis steady Navier-Stokes equations with a convection-diffusion model for scalar transport were solved at the Reynolds number Re = 0 91 The design space was explored through parametric study and the Latin hypercube sampling

The thermoelectric cooler (TEC) is a kind of cooling equipment which used to dissipate heat from the devices by Peltier effect The cooling capacity (Q c) and coefficient of performance (COP) are both significant performance parameters of a thermoelectric cooler In this article three-dimensional numerical simulations are carried out by finite element analysis based on the temperature

describe an approach for multi-objective optimization of control cabinet layout that is based on Pareto Simulated Annealing Optimization aims at minimizing the total wire length used for interconnection of components and the heat convection within the cabinet We simulate heat convection to

multi-objective optimization tool for non-domestic building system optimization which could find proposed by Guo et al o ers a theoretical analysis framework for the analysis and optimization of convective heat transfer processes [29 30] A series of convective heat transfer optimization

AbstractThe paper introduces a new approach to kriging based multi-objective optimization by utilizing a local probability of improvement as the infill sampling criterion and the nearest neighbor check to ensure diversification and uniform distribution of Pareto fronts The proposed method is computationally fast and linearly scalable to higher dimensions

Introducing a multi-objective optimization -processing and interpretation of the results at the expense of an increased computational time In this work a thermo-economic study of the transcritical ORC is presented with as focus waste heat recovery Detailed heat exchanger models are derived which are used in the optimization strategy

High-strength die steel is widely used for cutting stamping and molding because of its advantages of high hardness high toughness and abrasion resistance However its efficiency in cutting has always been difficult In a complex machining process the optimization of cutting parameters has a significant influence on the stability and quality of products