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Optimization investigation on configuration parameters of serrated fin in plate-fin heat exchanger based on fluid structure interaction analysis

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INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER 2018年 119卷 282-294页

作者： Wen, Jian Li, Ke Zhang, Xing Wang, Chunlong Wang, Simin Tu, Jiyuan Xi An Jiao Tong Univ Sch Energy & Power Engn Dept Refrigerat & Cryogen Engn Xian 710049 Shaanxi Peoples R China Xi An Jiao Tong Univ Sch Chem Engn & Technol Dept Proc Equipment & Control Engn Xian 710049 Shaanxi Peoples R China Tsinghua Univ Inst Nucl & New Energy Technol Key Lab Adv Reactor Engn & Safety Minist Educ Beijing 100084 Peoples R China

The comprehensive performance of serrated fin in plate-fin heat exchangers (PFHEs) is numerically studied based on fluid structure interaction (FSI) analysis in this paper. Based on Full 2nd-Order Polynomial response surface (RS) and analysis of variance (ANOVA), the effects and second order interaction effects of the fin height, fin space, fin thickness and fin interrupted length on heat transfer, flow resistance and stress are quantitatively and thoroughly assessed. The results show that the heat transfer is the most sensitive to fin interrupted length, and the flow resistance and the maximum stress are the most sensitive to fin thickness. The interaction effect of the fin space and fin interrupted length is the strongest when the j factor is set as objective function, while the interaction effect of the fin space and fin thickness is the strongest when the f factor or maximum stress is set as objective function. Based on Full 2nd-Order Polynomial RS, multi-objective genetic algorithm (MOGA) is applied to optimize the fin structure comprehensively, with enhancing heat transfer, decreasing pressure drop and stress set as objectives. To demonstrate the effectiveness of optimized structures, a comprasion between the original design and optimized structures is performed. The results show that the JF factor of optimized structures 2 and 3 increases by 23.0% and 19.7% respectively, and the maximum stress decreases by 5.8% and 15.2% respectively. The MOGA offers theorectical guidance for optimization design of PFHE. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Plate-fin heat exchanger Serrated fin Stress analysis Response surface Analysis of variance multi-objective genetic algorithm

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Adequacy assessment of a wind-integrated system using neural network-based interval predictions of wind power generation and load

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2018年第Feb.期95卷 213-226页

作者： Ak, Ronay Li, Yan-Fu Vitelli, Valeria Zio, Enrico European Fdn New Energy Elect France Chair Syst Sci & Energet Challenge Cent Supelec Paris France Tsinghua Univ Dept Ind Engn Beijing Peoples R China Univ Oslo Oslo Ctr Biostat & Epidemiol Dept Biostat Domus Med Oslo Norway Politecn Milan Dept Energy Milan Italy

In this paper, a modeling and simulation framework is presented for conducting the adequacy assessment of a wind-integrated power system accounting for the associated uncertainties. A multi-layer perceptron artificial neural network (MLP NN) is trained by the non-dominated sorting genetic algorithm-II (NSGA-II) to forecast prediction intervals (PIs) of the wind power and load. The output of the adequacy assessment is given in terms of point-valued and interval-valued Expected Energy Not Supplied (EENS). Different scenarios of wind power and load levels are considered to explore the influence of uncertainty in wind and load predictions on the estimation of system adequacy. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Adequacy assessment multi-objective genetic algorithm Neural networks Prediction intervals Wind energy

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Balancing strategic contributions and financial returns: a project portfolio selection model under uncertainty

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SOFT COMPUTING 2018年第16期22卷 5547-5559页

作者： Guo, Yuntao Wang, Lin Li, Suike Chen, Zhi Cheng, Yin Northwestern Polytech Univ Sch Management 127 Youyi West Rd Xian 710129 Shaanxi Peoples R China

This paper constructs a project portfolio selection model from the strategic perspective. Two goals are proposed for the portfolio to achieve, i.e., strategic contributions and financial returns. The uncertainties involved are addressed with fuzzy real options. Then, a modified multi-objective genetic algorithm is designed to determine the portfolios. Finally, a real case is provided to validate the model's effectiveness. The results demonstrate that the proposed algorithm can optimize two objectives simultaneously and keep the plausible Pareto-optimal set which wins over the single-objective model solutions in achieving the shared value.

关键词： objective trade-offs Project portfolio selection Fuzzy real options multi-objective genetic algorithm

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An enhanced NSGA-II algorithm for fuzzy bi-objective assembly line balancing problems

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COMPUTERS & INDUSTRIAL ENGINEERING 2018年 123卷 189-208页

作者： Babazadeh, Hossein Alavidoost, M. H. Zarandi, M. H. Fazel Sayyari, S. T. Univ Sci & Technol Dept Ind Engn Tehran Iran Amirkabir Univ Technol Dept Ind Engn Tehran Iran

Due to immense role of an efficient assembly line in today's manufacturing systems, the consideration of this paper is devoted to address the straight and U-shaped assembly line balancing problems. Assembly Line Balancing Problem (ALBP) considers conflicting objective functions that should be optimized simultaneously subject to set of constraints. To this end, this paper spends endeavor to develop a new fuzzy linear programming model. Having dealt with uncertain nature of the real production system, triangular fuzzy numbers (TFNs) are employed in order to represent uncertainty and vagueness associated with the task processing times. The proposed model can be regarded as a basis of fuzzy programming for further practical development in assembly line problems. To solve the problem, an efficient multi objective genetic algorithm (MOGA) is proposed. For this purpose, having respected several special characteristics of both fuzzy straight and U-shaped assembly line balancing problems for algorithm segments, including initial generation, encoding and decoding schemes, and GA's operations, an new approach is proposed to promote population diversity and search efficiency. Finally, the proposed algorithm is evaluated though several benchmarks as well as that of exact method. The obtained results proved high efficiency of our method over other approaches suggested in the literature.

关键词： Fuzzy programming multi-objective genetic algorithm Assembly line balancing NSGA-II

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An experimental and numerical investigation of chevron fin structures in serpentine minichannel heat sinks

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INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER 2018年 120卷 1213-1228页

作者： Al-Neama, Ahmed F. Khatir, Zinedine Kapur, Nikil Summers, Jonathan Thompson, Harvey M. Univ Leeds Sch Mech Engn Inst Thermofluids Leeds LS2 9JT W Yorkshire England Univ Mosul Fac Engn Dept Mech Engn Mosul Iraq

Water-cooled micro/minichannel heat sinks are an important component in managing the temperature of electronic components, particularly where high density of heat rejection is required. This study examines the potential to decrease the thermal resistance and enhance convective heat transfer of a serpentine heat exchanger by introducing chevron fins which create secondary flow paths. This novel design is found to significantly reduce both the pressure drop across the heat exchanger and the total thermal resistance by up to 60% and 10%, respectively, and enhance the average Nusselt number by 15%. A three-dimensional conjugate heat transfer model is developed and validated against experimental measurements, before being used to carry out a parametric study involving the chevron oblique angle, secondary channel width and heat flux. The design of the serpentine minichannel with chevron fins is then optimised in terms of the minichannel width, minichannel number and chevron oblique angle. A 50 point Optimal Latin Hypercubes Design of Experiment is constructed within the design variable space, using a permutation genetic algorithm, and accurate metamodels built using Radial Basis Functions. A Pareto front is constructed which enables designers to explore appropriate compromises between designs with low pressure drop and those with low thermal resistance. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Serpentine microchannel heat sink Conjugate heat transfer Chevron fins CFD Direct liquid cooling multi-objective genetic algorithm

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Optimum Design of Lug Arrangement Based on Static and Dynamic Analyses for Block Lifting

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JOURNAL OF SHIP PRODUCTION AND DESIGN 2018年第2期34卷 119-133页

作者： Lee, Sung-Min Roh, Myung-Il Kim, Ki-Su Ham, Seung-Ho Seoul Natl Univ Dept Naval Architecture & Ocean Engn 1 Gwanak Ro Seoul 08826 South Korea Seoul Natl Univ Res Inst Marine Syst Engn 1 Gwanak Ro Seoul 08826 South Korea

In a shipyard, special equipment called lugs are used for lifting blocks by using a crane. During lifting, the motions of the crane and the block are determined by the lug arrangement. In this study, a method for the lug arrangement is proposed to achieve safe block lifting. For this, an optimization problem for the lug arrangement is mathematically formulated and solved by using the multiobjective genetic algorithm. Static and dynamic motion analyses are then introduced to calculate the block motion. To check the applicability of the proposed method, it is applied to examples of the lug arrangement in a shipyard.

关键词： lug arrangement block lifting dynamic motion analysis optimization multi-objective genetic algorithm

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multi-objective reliability based design optimization of coupled acoustic-structural system

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ENGINEERING STRUCTURES 2019年 197卷 109389-000页

作者： Dammak, Khalil El Hami, Abdelkhalak Univ Rouen INSA Rouen Normandy LMN F-76801 St Etienne De Rouvray France

Vibro-acoustic optimization for coupled acoustic-structural system signifies one of the key topics of research to improve its performances. However, majority of the studies have not considered the presence of uncertainties while it has been shown that a deterministic optimization leads to an unreliable design. This paper proposes a methodology to perform the multi-objective reliability-based design optimization (MORBDO) for a coupled acoustic-structural system. This methodology consists in coupling the hybrid method with the genetic algorithm in order to integrate the reliability analysis. This problem consists in two flexible plates coupled with an acoustic rectangular cavity, in which an analytical formulation was developed to investigate the acoustic pressure inside the cavity as well as the plates displacements. The results show that the multi-objective genetic algorithm (MOGA) coupled with the hybrid method (HM) was capable to generate well-distributed reliable Pareto solutions. The effectiveness of the methodology is illustrated by a coupled acoustic-structural application.

关键词： multi-objective reliability-based design optimization Coupled acoustic-structural multi-objective genetic algorithm Hybrid method Uncertainties

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Optimum machine capabilities for reconfigurable manufacturing systems

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2018年第9-12期95卷 4397-4417页

作者： Asghar, Eram Zaman, Uzair Khaleeq Uz Baqai, Aamer Ahmed Homri, Lazhar Ghulam Ishaq Khan Inst Engn Sci & Technol Topi Pakistan Ecole Natl Super Arts & Metiers Lab Concept Fabricat Commande Metz France Natl Univ Sci & Technol Islamabad Pakistan

Reconfigurable manufacturing systems constitute a new manufacturing paradigm and are considered as the future of manufacturing because of their changeable and flexible nature. In a reconfigurable manufacturing environment, basic modules can be rearranged, interchanged, or modified, to adjust the production capacity according to production requirements. Reconfigurable machine tools have modular structure comprising of basic and auxiliary modules that aid in modifying the functionality of a manufacturing system. As the product's design and its manufacturing capabilities are closely related, the manufacturing system is desired to be customizable to cater for all the design changes. Moreover, the performance of a manufacturing system lies in a set of planning and scheduling data incorporated with the machining capabilities keeping in view the market demands. This research work is based on the co-evolution of process planning and machine configurations in which optimal machine capabilities are generated through the application of multi-objective genetic algorithms. Furthermore, based on these capabilities, the system is tested for reconfiguration in case of production changeovers. Since, in a reconfigurable environment, the same machine can be used to perform different tasks depending on the required configuration, the subject research work assigns optimum number of machines by minimizing the machining capabilities to carry out different operations in order to streamline production responses. An algorithm has also been developed and verified on a part family. As a result of the proposed methodology, an optimized reconfigurable framework can be achieved to realize optimal production of a part family. Finally, the proposed methodology was applied on a case study and respective conclusions were drawn.

关键词： Alternative process plans multi-objective genetic algorithm Reconfigurable manufacturing systems Reconfigurable process plans

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Onboard autonomous mission re-planning for multi-satellite system

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ACTA ASTRONAUTICA 2018年第Apr.期145卷 28-43页

作者： Zheng, Zixuan Guo, Jian Gill, Eberhard Delft Univ Technol Delft Netherlands

This paper presents an onboard autonomous mission re-planning system for multi-Satellites System (MSS) to perform onboard re-planing in disruptive situations. The proposed re-planning system can deal with different potential emergency situations. This paper uses multi-objective Hybrid Dynamic Mutation genetic algorithm (MO-HDM GA) combined with re-planning techniques as the core algorithm. The Cyclically Re-planning Method (CRM) and the Near Real-time Re-planning Method (NRRM) are developed to meet different mission requirements. Simulations results show that both methods can provide feasible re-planning sequences under unforeseen situations. The comparisons illustrate that using the CRM is average 20% faster than the NRRM on computation time. However, by using the NRRM more raw data can be observed and transmitted than using the CRM within the same period. The usability of this onboard re-planning system is not limited to multi-satellite system. Other mission planning and re-planning problems related to autonomous multiple vehicles with similar demands are also applicable.

关键词： multi-satellite system Onboard autonomy Mission re-planning multi-objective genetic algorithm

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Weather-data-based control of space heating operation via multi-objective optimization: Application to Italian residential buildings

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APPLIED THERMAL ENGINEERING 2019年 163卷 114384-000页

作者： Ascione, Fabrizio Bianco, Nicola Mauro, Gerardo Maria Napolitan, Davide Ferdinando Vanoli, Giuseppe Peter Univ Napoli Federico II Dept Ind Engn Piazzale Tecchio 80 I-80125 Naples Italy Univ Sannio Dept Engn Piazza Roma 21 I-82100 Benevento Italy Univ Bergamo Via Salvecchio 19 I-24129 Bergamo Italy Univ Molise Dept Med Via Cesare Gazzani 47 I-86100 Campobasso Italy

Many strategies are under investigation to reduce the environmental impact of the building stock. Among them, the implementation of optimal operation strategies of the HVAC (heating, ventilating and air conditioning) systems plays a fundamental role because it can produce substantial energy-economic savings and increment of thermal comfort. In this vein, a weather-data-based control framework is here proposed to provide optimal heating operation strategies easily applicable to a huge number of buildings. It works by coupling EnergyPlus and MATLAB (R) to run a multi-objective genetic algorithm and proposes a novel approach for multi-criteria decision-making. This latter addresses characteristic days (i.e., average cold days, average days and average hot days) of weather data files with the aim to provide monthly heating strategies that ensure the best compromise between running cost and thermal discomfort. As case studies, the proposed framework is applied to a residential building, representative of the Italian building stock from 1961 to 1975. In order to cover most of the Italian territory, four different cities are considered: Palermo (climatic zone B), Naples (C), Florence (D) and Milan (E). The achieved cost reduction is included between 6% (Milan) and 34% (Palermo), while the thermal comfort is not penalized. Finally, the framework provides practical indications ready to be easily applied to the Italian residential stock to achieve a significant and widespread improvement of energy performance.

关键词： Building energy optimization HVAC system Heating operation Weather-based control multi-objective genetic algorithm Residential buildings

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