检索结果-内蒙古大学图书馆

Multi-objective optimization of concrete pumping S-pipe based on DEM and nsga-ii algorithm

POWDER TECHNOLOGY 2024年 434卷

作者： Zhang, Wei Jiang, Shengqiang Li, Xu Chen, Zhihao Cao, Guodong Mei, Ming Xiangtan Univ Sch Mech Engn & Mech Xiangtan 411105 Peoples R China Equipment Minist Educ Engn Res Ctr Complex Tracks Proc Technol Xiangtan 411105 Peoples R China Hunan Shaofeng Inst Appl Math Xiangtan 411105 Peoples R China

In the process of fresh concrete pumping, the S-pipe plays a crucial role in the pumping system. The impact and scratching of concrete aggregate on the wall of S-pipe will cause the wear of the wall and lessen its service life. The structural design of the pumping S-pipe typically relies on experience, and the cost for experiments is too expensive. In addition, the influence mechanism of structural parameters on S-pipe wear is still unclear. In view of this, to reduce the wear of S-pipe and investigate the influence of structural parameters on the wear of S-pipe, the structural parameters of S-pipe (curvature radius r1 and r2, horizontal dimension l3, and inclination angle theta) were optimised through discrete element numerical simulation combined with the non-dominated sorting genetic algorithm-ii (nsga-ii) in this paper. Firstly, the wear coefficient was determined by friction and wear test. The discrete element method (DEM) model of pumping suction unit was simplified, and the S-pipe was parameterised. Secondly, sample points and their exact values of the optimization objectives were obtained by Latin hypercube sampling (LHS) plan and DEM simulations, respectively. From these, a Kriging surrogate model was constructed. Taking the average wear rate and the maximum wear of the S-pipe as the optimization objectives, a multi-objective optimization design was performed based on the nsga-ii and the Kriging models. After optimization, a series of Pareto optimal S-pipe models were obtained. Comparing the optimised model with the original model, the average wear rate and maximum wear amount of the S-pipe were reduced by 9% and 26%, respectively.

关键词： Discrete element method nsga-ii algorithm Concrete pumping Structural parameters of S -pipe Pipe wear

来源：评论

学校读者我要写书评

暂无评论

Multi-Objective Optimization of Laser Cleaning Quality of Q390 Steel Rust Layer Based on Response Surface Methodology and nsga-ii algorithm

引用

MATERIALS 2024年第13期17卷 3109页

作者： Wang, Guolong Deng, Jian Lei, Jieheng Tang, Wenjie Zhou, Wujiang Lei, Zeyong Univ South China Sch Mech Engn Hengyang 421001 Peoples R China Univ South China Sch Elect Engn Hengyang 421001 Peoples R China

To improve the laser cleaning surface quality of rust layers in Q390 steel, a method of determining the optimal cleaning parameters is proposed that is based on response surface methodology and the second-generation non-dominated sorting genetic algorithm (nsga-ii). It involves constructing a mathematical model of the input variables (laser power, cleaning speed, scanning speed, and repetition frequency) and the objective values (surface oxygen content, rust layer removal rate, and surface roughness). The effects of the laser cleaning process parameters on the cleaning surface quality were analyzed in our study, and accordingly, nsga-ii was used to determine the optimal process parameters. The results indicate that the optimal process parameters are as follows: a laser power of 44.99 W, cleaning speed of 174.01 mm/min, scanning speed of 3852.03 mm/s, and repetition frequency of 116 kHz. With these parameters, the surface corrosion is effectively removed, revealing a distinct metal luster and meeting the standard for surface treatment before welding.

关键词： laser cleaning carbon steel response surface methodology nsga-ii algorithm multi-objective optimization

来源：评论

学校读者我要写书评

暂无评论

Multi-objective optimization of rectangular microchannel heat sink based on entropy generation and hydro-thermal performance using nsga-ii algorithm

引用

INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER 2023年 149卷

作者： Rabiee, A. Ahmadian-Elmi, M. Hajmohammadi, M. R. Mohammadifar, M. Amirkabir Univ Technol Dept Mech Engn Tehran 158754413 Iran Univ Tennessee UT Space Inst Dept Mech Aerosp & Biomed Engn Knoxville TN 37388 USA Univ Waterloo Dept Appl Math Waterloo ON N2L 3G1 Canada

In this study, multi-objective optimization of a rectangular microchannel heat sink is implemented based on two objective functions figure of merit (FOM) and entropy generation (Sgen). Decision variables are height ratio (alpha), width ratio (beta) and number of channels (N). CFD simulations are conducted for different values of decision variables and the effects of each decision variable on hydro-thermal performance (FOM) and entropy generation are studied separately. To reduce the computational cost in multi-objective optimization process, a fourth-order multivariate polynomial regression model is used to predict the FOM(alpha, beta) and Sgen(alpha, beta) objective functions at each N. Non-Dominated Sorting Genetic algorithm ii coupled with predicted objective functions (FOM and Sgen) is implemented to maximize the FOM and minimize the Sgen at each N. Also, the decision variables related to the highest FOM are presented, which is 90% more than the reference point, and the hydrodynamic-thermal per-formance has improved. Decision variables related to the lowest Sgen are presented, which is 19% lower than the reference point. Finally, decision variables are presented to simultaneously satisfied the highest FOM and the lowest Sgen where FOM is 57% higher than the reference point and Sgen is 9.78% lower than the reference point.

关键词： Microchannel heat sink Multi-objective optimizations nsga-ii algorithm Hydrodynamic-thermal performance Figure of merit Entropy generation Polynomial regression model

来源：评论

学校读者我要写书评

暂无评论

Study on the Optimization of Wujiang's Water Resources by Combining the Quota Method and nsga-ii algorithm

引用

WATER 2024年第2期16卷 359页

作者： Qu, Yongyu Song, Bo Cai, Shubing Rao, Pinzeng Lin, Xichen Changjiang Survey Planning Design & Res Co Ltd Wuhan 430010 Peoples R China Jiangsu Univ Sci & Technol Sch Naval Architecture & Civil Engn Zhangjiagang 215600 Peoples R China Nanjing Univ Informat Sci & Technol Sch Hydrol & Water Resources Nanjing 210044 Peoples R China China Inst Water Resources & Hydropower Res IWHR Beijing 100038 Peoples R China

Recently, the Chinese government has implemented stringent water requirements based on the concept of 'Basing four aspects on water resources'. However, existing research has inadequately addressed the constraints of water resources on population, city boundaries, land, and production, failing to adequately analyze the interplay between water resource limitations and urban development. Recognizing the interconnectedness between urban water use and economic development, a multi-objective model becomes crucial for optimizing urban water resources. This study establishes a nonlinear multi-objective water resources joint optimization model, aligning with the "Basing four aspects on water resources" requirement to maximize urban GDP and minimize total water use. A genetic algorithm (nsga-ii algorithm) is applied to solve this complex nonlinear multi-objective model and obtain the Pareto solution set, addressing information loss inherent in the traditional water quota method. The model was tested in Wujiang District, an area located in China's Jiangsu Province that has been rapidly urbanizing over the past few decades, and yielded 50 non-inferior water resource optimization schemes. The results reveal that the Pareto solution set visually illustrates the competition among objectives and comprehensively displays the interplay between water and urban development. The model takes a holistic approach to consider the relationships between water resources and urban population, land use, and industries, clearly presenting their intricate interdependencies. This study serves as a valuable reference for the rational optimization of water resources in urban development.

关键词： water resources optimization a multi-objective model water quota method nsga-ii algorithm Wujiang district

来源：评论

学校读者我要写书评

暂无评论

Optimization method for the length of the outsourcing concrete working plane on the main arch rib of a rigid-frame arch bridge based on the nsga-ii algorithm

引用

STRUCTURES 2024年 59卷

作者： Fan, Yonghui Xin, Jingzhou Yang, Ligui Zhou, Jianting Luo, Chao Zhou, Yin Zhang, Haoqi Chongqing Jiaotong Univ State Key Lab Mt Bridge & Tunnel Engn Chongqing 400074 Peoples R China

In addressing the challenges of determining the length of the outsourcing concrete working planes on the main arch rib of rigid-frame arch bridges-a process often reliant on extensive engineering experience, large-scale manual calculations and lack of multi-objective control. This paper employs the nsga-ii multi-objective optimization algorithm, where the objective functions are set to minimize the maximum compressive stress, tensile stress, and vertical deformation of the arch crown after the bridge was built. Optimization studies of the outsourcing concrete working plane length were conducted in different pouring schemes. Based on the case study of a main arch rib specimen with a span of 60 m, the optimal results for different construction schemes were derived. The uneven stress distribution coefficient of key sections was used as the evaluation index to filter the Pareto-optimized solutions from the nsga-ii optimization results. The experimental results indicated that: (1) Compared with the original pouring scheme, the optimized scheme respectively reduced the structure's maximum compressive stress, tensile stress, and vertical deformation of the arch crown by 4.19 MPa, 0.12 MPa, and 1.74 mm, showing a decline of 24.19%, 19.67%, and 2.82%. (2) Seven distinct outsourcing concrete pouring schemes were devised by altering the number of working planes, segments per working plane, and concrete pouring direction. All schemes achieved favorable optimization results through length optimization, demonstrating the broad applicability of the nsga-ii algorithm. (3) The stress distribution coefficients non-uniformity for the outsourcing concrete of the main arch rib are mostly located in the range of [0.7, 0.8], surpassing the original scheme's 0.69. Therefore, the nsga-ii algorithm not only ameliorates the primary arch rib's stress condition and diminishes the arch crown's vertical deformation, but also elevates the post-construction stress distribution state of the bridge's

关键词： Rigid-frame arch bridge Optimization of working plane length nsga-ii algorithm Model experiment Finite element simulation

来源：评论

学校读者我要写书评

暂无评论

Multi-objective optimization of current-assisted splitting spinning of small module tooth-shaped part based on the combination of BP neural network and nsga-ii algorithm

引用

MANUFACTURING REVIEW 2024年 11卷

作者： Zhou, Haoyang Xia, Qinxiang Xiao, Gangfeng Chen, Can South China Univ Technol Sch Mech & Automot Engn Guangzhou 510641 Peoples R China

Small module tooth-shaped parts (SMTSPs) with characteristics of hollow, thin wall-thickness made of difficult-to-deformed metals, are one of the most precision transmission components, which are traditionally manufactured by tooth hobbing or tooth shaping. Current-assisted splitting spinning (CASS) has been introduced as a method to achieve integrated manufacturing of SMTSPs. A coupled electrical-thermal-mechanical finite element analysis (FEA) model was established based on the ABAQUS software, the deformation characteristics of the small module tooth and the mechanism of tooth filling under current-assisted splitting spinning were investigated. A BP neural network (BPNN) was used to establish the mapping relationship between process parameters of CASS and forming quality evaluation metrics, and the Non-dominated Sorting Genetic algorithm (nsga-ii) multi-objective genetic optimization algorithm was employed to optimize the forming process parameters. The results show that the material at the tooth tip along the radial direction is in the state of tensile stress along radial and compressive stresses along tangential and axial directions, which promotes the radial flowing of the material and is beneficial the tooth filling of SMTSPs;the tooth saturation increases obviously under pulse current comparing without pulse current;the BPNN combined with the nsga-ii algorithm can reliably optimize the process parameters of the CASS, improving the forming quality of SMTSPs;experiments verified the feasibility of the process and the accuracy of the predictive model based on the optimization results.

关键词： Small module tooth-shaped parts current-assisted splitting spinning tooth filling BP neural network nsga-ii algorithm multi-objective optimization

来源：评论

学校读者我要写书评

暂无评论

Multi-objective Optimization of Synchronous Buck Converter Based on nsga-ii algorithm

Multi-objective Optimization of Synchronous Buck Converter B...

引用

IEEE International Conference on Mechatronics and Automation

作者： Wei Chang Jiuhe Wang Qili Chen Beijing Information Science & Technology University Beijing China

ISBN: (纸本)9781509023974

This paper proposes a multi-objective optimization design method with the discrete variables for synchronous buck converter. This method defines three objective factors: minimize cost, minimize area and maximize efficiency, and a multiobjective optimization problem can be drawn with the objective function of assessment models of cost, area and loss and the constraint of the component database built by the parameter of MOSFETs, inductors and capacitors. This paper uses the nsga-ii algorithm to process the problem of a multi-objective optimization with discrete variables. The nsga-ii algorithm can find the pareto optimal solution of a very large solution space which has hundreds of thousands feasible combinations of components, and the designers can make the reasonable choice of components by performing the trade-off analysis for the optimal solution when selecting the components. The simulation results demonstrate the feasibility of multi-objective optimization design method in this paper.

关键词： Synchronous Buck Converter Component Database nsga-ii algorithm the Pareto Optimal Solution Trade-off Analysis

来源：评论

学校读者我要写书评

暂无评论

nsga-ii Genetic algorithm Based Optimization of Parameters of Multiphase Interleaving Buck/Boost DC-DC Converter 1

引用

6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT)

作者： Yang, Haotian Lv, Qing Song, Keling China North Vehicle Res Inst Beijing 100072 Peoples R China

ISBN: (数字)9789819993079

ISBN: (纸本)9789819993093;9789819993079;9789819993062

Buck/Boost DC-DC converters can be used in grids with bidirectional power flows. In the actual designing process of a distribution box, power loss would cause converter to heat, which might cause damage to components in the converter if the heat generated greater than the thermal dispersion capacity of the converter. While ripple currents and the volume are also considered in distribution box designing. This paper considers the above-mentioned factors, establishes objective functions, and use nsga-ii genetic algorithm to optimize the parameter design of multiphase interleaving Buck/Boost DC-DC converters. Then several relatively better outputs have been selected, scored and weighted to estimate working performance under the parameter sets. Finally, the very best parameter set of the converter can be obtained.

关键词： nsga-ii algorithm Multi-objective Optimization Multiphase interleaving Buck/Boost DC-DC Converter

来源：评论

学校读者我要写书评

暂无评论

Development of Green Product Processes in Textile Industry Using Mathematical Modeling and nsga-ii Metaheuristic algorithm: A Case Study in Oyaz Industrial Group

引用

INTERNATIONAL JOURNAL OF ENGINEERING 2024年第4期37卷 725-738页

作者： Kian, Y. Bahrami Harsej, F. Aghdam, M. Molani Sadeghpour, M. Islamic Azad Univ Fac Engn Dept Ind Engn Nour Branch Nour Iran Islamic Azad Univ Innovat & Management Res Ctr Ayatollah Amoli Branch Amol Iran Islamic Azad Univ Qaemshahr Branch Dept Ind Engn Qaemshahr Iran

The development of green product processes is a strategic approach to minimize the impact of organizational supply chain on the environment while simultaneously expanding its economic performance. To achieve this task, it is crucial to emphasize aspects related to performance in optimizing resource utilization and implementing sustainability principles within an organizational domain. To this end, a multi -objective mixed -integer linear programming model is presented in this study with the objective of minimizing the production time of textiles, transportation costs, and inventory of the products, as well as minimizing the environmental effects of the processes of developing green products. In this model, the constraints and problem parameters are deterministic and solved using weighted sum methods, utilizing real data obtained from the "Oyaz" industrial group. By solving the model, an optimal combination for the values of the objective functions is obtained both collectively and separately. Furthermore, the capability of the proposed model is evaluated for solving large-scale instances using the nsga-ii algorithm. This metaheuristic method has demonstrated satisfactory capabilities compared to the mathematical model because of the slight difference in modeling errors while confirming the accuracy of the developed mathematical model, proving the accuracy and efficiency of the nsga-ii algorithm. Consequently, the sensitivity analysis examines the influence of changing key parameters, such as the maximum storage capacity of production centers, on the decisions of the proposed model. This parameter change is determined through consultation with experts in the textile field. Based on the results obtained, changing the maximum storage capacity has a considerable impact on fibers and cotton. Additionally, if the capacity is changed to the maximum possible value, it has the greatest impact on the purifiers.

关键词： Green Product Development Green Process Mathematical Modeling Textile Metaheuristic nsga-ii algorithm

来源：评论

学校读者我要写书评

暂无评论

GENERAL LAYOUT PLANNING MODEL OF LANDSCAPE CERAMIC SCULPTURE BASED ON nsga- ii algorithm

引用

SCALABLE COMPUTING-PRACTICE AND EXPERIENCE 2023年第3期24卷 371-378页

作者： Feng, Henan Zheng, Liqun Qiao, Shuang Kunsan Natl Univ Coll Arts Gunsan 541150 North Jeolla South Korea Fuzhou Junze Landscape Engn Co LTD Fuzhou Peoples R China Mudanjiang Normal Univ Art & Design Coll Mudanjiang 157000 Peoples R China

The current overall layout planning model matrix of landscape ceramic sculpture is generally unidirectional, and the planning efficiency is low, resulting in a decline in the layout optimization ratio of the model. Therefore, the design and verification analysis of landscape ceramic sculpture's overall layout planning model based on the Nondominated Sorting Genetic algorithm (nsga -ii) algorithm is proposed. According to the actual planning needs and standards, first set the basic layout points, establish a cross-planning matrix in a multi-level manner, and improve the efficiency of the overall layout planning of the sculpture. The nsga -ii calculation landscape ceramic sculpture layout planning structure is constructed on this basis, and the model design is realized by level conversion. This novel nsga-ii with level conversion performs better layout planning when compared with other conventional models. The final test results show that through three stages of layout optimization processing, compared with the initial planning layout, the optimal layout optimization ratio for the setting of the plaza sculpture can reach more than 60%, indicating that with the help of this method, the layout planning of sculpture has been further improved, the space has been expanded, and has practical application value.

关键词： nsga-ii algorithm Landscape ceramics Ceramic sculpture General layout Planning model Layout planning

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：