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QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency
《结构与土木工程前沿(英文)》 2023年 第17卷 第1期 页码 25-36 doi: 10.1007/s11709-022-0908-z
关键词: tunnel boring machine control parameter optimization quantum particle swarm optimization artificial neural network tunneling energy efficiency
Ant colony optimization for assembly sequence planning based on parameters optimization
Zunpu HAN, Yong WANG, De TIAN
《机械工程前沿(英文)》 2021年 第16卷 第2期 页码 393-409 doi: 10.1007/s11465-020-0613-3
关键词: assembly sequence planning ant colony optimization symbiotic organisms search parameter optimization
Tao FU, Jibin ZHAO, Weijun LIU
《机械工程前沿(英文)》 2012年 第7卷 第4期 页码 445-452 doi: 10.1007/s11465-012-0338-z
This paper investigates optimization problem of the cutting parameters in high-speed milling on NAK80 mold steel. An experiment based on the technology of Taguchi is performed. The objective is to establish a correlation among spindle speed, feed per tooth and depth of cut to the three directions of cutting force in the milling process. In this study, the optimum cutting parameters are obtained by the grey relational analysis. Moreover, the principal component analysis is applied to evaluate the weights so that their relative significance can be described properly and objectively. The results of experiments show that grey relational analysis coupled with principal component analysis can effectively acquire the optimal combination of cutting parameters and the proposed approach can be a useful tool to reduce the cutting force.
关键词: high-speed milling grey relational analysis principal component analysis parameters optimization
Nazim Abdul NARIMAN
《结构与土木工程前沿(英文)》 2017年 第11卷 第1期 页码 66-89 doi: 10.1007/s11709-016-0356-8
关键词: MTMDs power spectral density fast Fourier transform minimax optimization technique Sobol’s sensitivity indices Box-Behnken method
Yongliang YUAN, Liye LV, Shuo WANG, Xueguan SONG
《机械工程前沿(英文)》 2020年 第15卷 第3期 页码 406-416 doi: 10.1007/s11465-019-0578-2
关键词: bucket wheel reclaimer co-design energy-minimum optimization sequential strategy
Jie OUYANG, Bin LI, Shihua GONG
《机械工程前沿(英文)》 2013年 第8卷 第2期 页码 118-126 doi: 10.1007/s11465-013-0253-y
To enhance the performance of high speed transfer system of LED chip sorting equipment, its control parameters need to be well matching with the mechanical system. In practical issues, it is difficult and time-consuming work to get these parameters matched because their selection is strongly depended on individuals. In current work, an integrated optimization method was carried out to solve this problem, in which the multiple control parameters optimization, modeling and simulation were included, i.e., a multi-domain model of transfer system performed on Dymola platform. Based on this model, the searching area of the key control parameters was narrowed by performing integrated optimization. After that a group of parameters were selected from this narrowed area to perform the equipment’s controls. The result showed this method possesses a simple and reliable nature. The optimal solutions also indicated that the optimized control parameters can well satisfy the requirements of transfer system. On the other hand, it greatly reduced the engineering adjustment time by using this method.
关键词: LED chip sorter multi-domain modeling and simulation parameter optimization modelica language
Optimization of process parameters for mature landfill leachate pretreatment using MAP precipitation
Wei LI, Xiaowen DING, Min LIU, Yuewen GUO, Lei LIU
《环境科学与工程前沿(英文)》 2012年 第6卷 第6期 页码 892-900 doi: 10.1007/s11783-012-0440-9
关键词: magnesium ammonium phosphate precipitation mature landfill leachate optimization ammonium-nitrogen
Optimization of process parameters for preparation of powdered activated coke to achieve maximum SO
Binxuan ZHOU, Tao WANG, Tianming XU, Cheng LI, Yuan ZHAO, Jiapeng FU, Zhen ZHANG, Zhanlong SONG, Chunyuan MA
《能源前沿(英文)》 2021年 第15卷 第1期 页码 159-169 doi: 10.1007/s11708-020-0719-7
关键词: powdered activated coke (PAC) SO2 adsorption capacity parameters optimization response surface methodology
一种大偏心皮卫星分离参数复合优化方法 None
Lai TENG, Zhong-he JIN
《信息与电子工程前沿(英文)》 2018年 第19卷 第5期 页码 685-698 doi: 10.1631/FITEE.1700416
关键词: 皮卫星;星箭分离机构;分离参数;参数优化
Robust design of configurations and parameters of adaptable products
Jian ZHANG,Yongliang CHEN,Deyi XUE,Peihua GU
《机械工程前沿(英文)》 2014年 第9卷 第1期 页码 1-14 doi: 10.1007/s11465-014-0296-8
An adaptable product can satisfy different customer requirements by changing its configuration and parameter values during the operation stage. Design of adaptable products aims at reducing the environment impact through replacement of multiple different products with single adaptable ones. Due to the complex architecture, multiple functional requirements, and changes of product configurations and parameter values in operation, impact of uncertainties to the functional performance measures needs to be considered in design of adaptable products. In this paper, a robust design approach is introduced to identify the optimal design configuration and parameters of an adaptable product whose functional performance measures are the least sensitive to uncertainties. An adaptable product in this paper is modeled by both configurations and parameters. At the configuration level, methods to model different product configuration candidates in design and different product configuration states in operation to satisfy design requirements are introduced. At the parameter level, four types of product/operating parameters and relations among these parameters are discussed. A two-level optimization approach is developed to identify the optimal design configuration and its parameter values of the adaptable product. A case study is implemented to illustrate the effectiveness of the newly developed robust adaptable design method.
关键词: adaptable product robust design optimization uncertainties
Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH
《机械工程前沿(英文)》 2013年 第8卷 第3期 页码 319-332 doi: 10.1007/s11465-013-0269-3
The effective study of hybrid machining processes (HMPs), in terms of modeling and optimization has always been a challenge to the researchers. The combined approach of Artificial Neural Network (ANN) and Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) has attracted attention of researchers for modeling and optimization of the complex machining processes. In this paper, a hybrid machining process of Electrical Discharge Face Grinding (EDFG) and Diamond Face Grinding (DFG) named as Electrical Discharge Diamond face Grinding (EDDFG) have been studied using a hybrid methodology of ANN-NSGA-II. In this study, ANN has been used for modeling while NSGA-II is used to optimize the control parameters of the EDDFG process. For observations of input-output relations, the experiments were conducted on a self developed face grinding setup, which is attached with the ram of EDM machine. During experimentation, the wheel speed, pulse current, pulse on-time and duty factor are taken as input parameters while output parameters are material removal rate (MRR) and average surface roughness (Ra). The results have shown that the developed ANN model is capable to predict the output responses within the acceptable limit for a given set of input parameters. It has also been found that hybrid approach of ANN-NSGA-II gives a set of optimal solutions for getting appropriate value of outputs with multiple objectives.
关键词: hybrid machining processes (HMPs) electrical discharge diamond grinding (EDDG) artificial neural network (ANN) genetic algorithm modeling and optimization
Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey
《机械工程前沿(英文)》 2014年 第9卷 第1期 页码 81-94 doi: 10.1007/s11465-014-0287-9
The present work studies and identifies the different variables that affect the output parameters involved in a single cylinder direct injection compression ignition (CI) engine using jatropha biodiesel. Response surface methodology based on Central composite design (CCD) is used to design the experiments. Mathematical models are developed for combustion parameters (Brake specific fuel consumption (BSFC) and peak cylinder pressure (Pmax)), performance parameter brake thermal efficiency (BTE) and emission parameters (CO, NOx, unburnt HC and smoke) using regression techniques. These regression equations are further utilized for simultaneous optimization of combustion (BSFC, Pmax), performance (BTE) and emission (CO, NOx, HC, smoke) parameters. As the objective is to maximize BTE and minimize BSFC, Pmax, CO, NOx, HC, smoke, a multi-objective optimization problem is formulated. Non-dominated sorting genetic algorithm-II is used in predicting the Pareto optimal sets of solution. Experiments are performed at suitable optimal solutions for predicting the combustion, performance and emission parameters to check the adequacy of the proposed model. The Pareto optimal sets of solution can be used as guidelines for the end users to select optimal combination of engine output and emission parameters depending upon their own requirements.
关键词: jatropha biodiesel fuel properties response surface methodology multi-objective optimization non-dominated sorting genetic algorithm-II
Yan GUO, Chuanfu WU, Qunhui WANG, Min YANG, Qiqi HUANG, Markus MAGEP, Tianlong ZHENG
《环境科学与工程前沿(英文)》 2016年 第10卷 第4期 doi: 10.1007/s11783-016-0845-y
关键词: Nitrogen removal Polylactic acid Starch Carbon source Response surface methodology
Yu-xiang LI,Yin-liang ZHAO,Bin LIU,Shuo JI
《信息与电子工程前沿(英文)》 2015年 第16卷 第3期 页码 205-216 doi: 10.1631/FITEE.1400172
关键词: Speculative multithreading Thread partitioning Artificial immune algorithm
Intelligent methods for the process parameter determination of plastic injection molding
Huang GAO, Yun ZHANG, Xundao ZHOU, Dequn LI
《机械工程前沿(英文)》 2018年 第13卷 第1期 页码 85-95 doi: 10.1007/s11465-018-0491-0
Injection molding is one of the most widely used material processing methods in producing plastic products with complex geometries and high precision. The determination of process parameters is important in obtaining qualified products and maintaining product quality. This article reviews the recent studies and developments of the intelligent methods applied in the process parameter determination of injection molding. These intelligent methods are classified into three categories: Case-based reasoning methods, expert system-based methods, and data fitting and optimization methods. A framework of process parameter determination is proposed after comprehensive discussions. Finally, the conclusions and future research topics are discussed.
关键词: injection molding intelligent methods process parameters optimization
标题 作者 时间 类型 操作
QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency
期刊论文
Ant colony optimization for assembly sequence planning based on parameters optimization
Zunpu HAN, Yong WANG, De TIAN
期刊论文
Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis
Tao FU, Jibin ZHAO, Weijun LIU
期刊论文
Control efficiency optimization and Sobol’s sensitivity indices of MTMDs design parameters for buffeting
Nazim Abdul NARIMAN
期刊论文
Multidisciplinary co-design optimization of structural and control parameters for bucket wheel reclaimer
Yongliang YUAN, Liye LV, Shuo WANG, Xueguan SONG
期刊论文
Dymola-based multi-parameters integrated optimization for high speed transfer system of LED chip sorter
Jie OUYANG, Bin LI, Shihua GONG
期刊论文
Optimization of process parameters for mature landfill leachate pretreatment using MAP precipitation
Wei LI, Xiaowen DING, Min LIU, Yuewen GUO, Lei LIU
期刊论文
Optimization of process parameters for preparation of powdered activated coke to achieve maximum SO
Binxuan ZHOU, Tao WANG, Tianming XU, Cheng LI, Yuan ZHAO, Jiapeng FU, Zhen ZHANG, Zhanlong SONG, Chunyuan MA
期刊论文
Robust design of configurations and parameters of adaptable products
Jian ZHANG,Yongliang CHEN,Deyi XUE,Peihua GU
期刊论文
Multi-objective optimization of process parameters in Electro-Discharge Diamond Face Grinding based on
Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH
期刊论文
Multi-objective optimization of combustion, performance and emission parameters in a jatropha biodiesel
Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey
期刊论文
Wastewater-nitrogen removal using polylactic acid/starch as carbon source: Optimization of operatingparameters using response surface methodology
Yan GUO, Chuanfu WU, Qunhui WANG, Min YANG, Qiqi HUANG, Markus MAGEP, Tianlong ZHENG
期刊论文
Optimization of thread partitioning parameters in speculative multithreading based on artificial immune
Yu-xiang LI,Yin-liang ZHAO,Bin LIU,Shuo JI
期刊论文