Query：
学者姓名：范晋伟
Refining：
Year
Type
Indexed by
Source
Complex
Co-Author
Language
Clean All
Abstract ：
PurposeThe accuracy of the machining process is significantly impacted by the performance of hydrostatic bearings. This paper aims to analyze the influence of micro-textured on the performance of the hydrostatic bearing, and the performance of the bearing is improved by designing the arrangement of micro-textured. Design/methodology/approachDifferent designs have been used while creating micro-textured bearings. The finite element models of bearing with smooth and micro-textured were established and solved using the computational fluid dynamics method. The arrangement scheme of the micro-textured was evaluated by comparing the influence of the distribution position and arrangement of the micro-textured on the bearing performance. FindingsTo improve the performance of the bearing, the bearing capacity was significantly increased, and the friction coefficient of the bearing was decreased when the micro-textured was distributed in the form of an obtuse angle arrangement in the maximum pressure area of the bearing. The experimental findings validate the analysis method. Originality/valueIn this paper, the effect of irregularly arranged micro-textured on bearing performance is investigated to improve the bearing capacity and lubrication status.
Keyword ：
Hydrostatic bearing Hydrostatic bearing Distribution position Distribution position Arrangement Arrangement Bearing capacity Bearing capacity Micro-textured Micro-textured
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Chen, Dongju , Sun, Yueqiang , Zhao, You et al. Influence of the distribution position and arrangement of micro-textured on the performance of the hydrostatic bearing [J]. | INDUSTRIAL LUBRICATION AND TRIBOLOGY , 2023 , 75 (6) : 721-728 . |
| MLA | Chen, Dongju et al. "Influence of the distribution position and arrangement of micro-textured on the performance of the hydrostatic bearing" . | INDUSTRIAL LUBRICATION AND TRIBOLOGY 75 . 6 (2023) : 721-728 . |
| APA | Chen, Dongju , Sun, Yueqiang , Zhao, You , Sun, Kun , Fan, Jinwei . Influence of the distribution position and arrangement of micro-textured on the performance of the hydrostatic bearing . | INDUSTRIAL LUBRICATION AND TRIBOLOGY , 2023 , 75 (6) , 721-728 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
This paper proposes a new geometric error compensation algorithm for the five-axis machine tools. Firstly, the general machining error model of five-axis machine tool is established based on multi-body theory (MBS) and homogeneous transmission matrix (HTM). Secondly, considering deviation of tool setting point, the initial NC code of each axis is calculated. Thirdly, based on the initial NC code, a geometric error compensation is developed by the present improved particle swarm optimization (IPSO) to seek the optimal NC code. In this model, the tool pose and the volume error are regarded as particles and optimal object, respectively. According to the objective function, the optimal particles are selected in a given interval to reduce the volume error of machine tool. Finally, an experiment is implemented by the S-shaped test to verify the effectiveness of this method. Compared with linear interpolation (LI) compensation, the comprehensive machining accuracy based on PSO method has improved by 17.5%, and the maximum machining error has reduced by 0.0058 mm.
Keyword ：
Particle swarm optimization Particle swarm optimization Compensation Compensation NC code NC code Five-axis machine tools Five-axis machine tools Geometric error Geometric error
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Wang, Peitong , Fan, Jinwei , Ren, Xingfei . A novel geometric error compensation approach for five-axis machine tools [J]. | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2022 , 124 (7-8) : 2877-2889 . |
| MLA | Wang, Peitong et al. "A novel geometric error compensation approach for five-axis machine tools" . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 124 . 7-8 (2022) : 2877-2889 . |
| APA | Wang, Peitong , Fan, Jinwei , Ren, Xingfei . A novel geometric error compensation approach for five-axis machine tools . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2022 , 124 (7-8) , 2877-2889 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
As an advanced finishing technology, magnetic compound fluid finishing (MCFF) is considered capable of achieving damage-free finishing of low-hardness materials such as copper alloys with appropriate finishing parameters. However, ignoring the influence of the material removal amount on the dimensional accuracy while optimizing finishing parameters may result in excessive material removal and a reduction in the workpiece's dimensional accuracy. Thus, a novel finishing parameter optimization method considering dimensional accuracy is proposed in this paper. Firstly, the MCFF experiments are planned and carried out for modeling. Secondly, an MCFF model is established based on the integrated learning theory. The established model, with a prediction layer and a fusion layer, is a multi-layer neural network fusion model which can accurately predict the polished surface quality and material removal amount. Thirdly, the finishing parameters are optimized by the multi-objective particle swarm optimization algorithm, taking the effect of material removal on dimensional accuracy into account. Finally, the model's prediction accuracy and the superiority of the optimized parameters are verified through experiments. The results demonstrate that the developed model can predict the finishing effect correctly, and a workpiece with high-quality polished surfaces and high dimensional accuracy can be obtained with the optimized finishing parameters.
Keyword ：
Neural network Neural network Dimensional accuracy Dimensional accuracy Surface roughness Surface roughness Finishing parameters Finishing parameters Magnetic compound fluid finishing Magnetic compound fluid finishing
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Fan, Jinwei , Ren, Xingfei , Pan, Ri et al. Optimization of finishing parameters for magnetic compound fluid finishing (MCFF) of copper alloy [J]. | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2022 , 121 (3-4) : 2181-2195 . |
| MLA | Fan, Jinwei et al. "Optimization of finishing parameters for magnetic compound fluid finishing (MCFF) of copper alloy" . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 121 . 3-4 (2022) : 2181-2195 . |
| APA | Fan, Jinwei , Ren, Xingfei , Pan, Ri , Wang, Peitong , Tao, Haohao . Optimization of finishing parameters for magnetic compound fluid finishing (MCFF) of copper alloy . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2022 , 121 (3-4) , 2181-2195 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
Carbon fiber reinforced polymer (CFRP) has the advantages of light weight and high strength, it is one of the main materials for the development of lightweight manufacturing industry. However, conventional machining methods involve high cost and low efficiency, restricting development. Laser machining is an ideal method to process CFRP by the interaction between laser and materials. In this paper, the relationship between laser power, laser frequency, scanning speed and the width of heat affected zone(HAZ) is obtained by response surface methodology (RSM), and a mathematical model is established. Taking the established model as the objective function, genetic algorithm is used to optimize the process parameters. The optimal combination of parameters is laser power 6 W, laser frequency 515 kHz, scanning speed 2220.2 mm/s-2231.8 mm/s, minimum heat affected zone width 52 mu m. Through sensitivity analysis, it is found that laser power has the greatest influence on heat affected zone. The influence rules and causes of laser power and laser frequency, laser power and scanning speed on the width of HAZ are analyzed.
Keyword ：
sensitivity analysis sensitivity analysis Laser processing Laser processing genetic algorithm genetic algorithm CFRP CFRP
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Fan, Jinwei , Zhao Yuanyuan , Ri, Pan et al. Optimization of laser processing parameters on the width of heat affected zone of carbon fiber reinforced polymer [J]. | JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS , 2022 , 45 (2) : 131-137 . |
| MLA | Fan, Jinwei et al. "Optimization of laser processing parameters on the width of heat affected zone of carbon fiber reinforced polymer" . | JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS 45 . 2 (2022) : 131-137 . |
| APA | Fan, Jinwei , Zhao Yuanyuan , Ri, Pan , Jian, Yin , Ren Xingfei , Zhao Wanying . Optimization of laser processing parameters on the width of heat affected zone of carbon fiber reinforced polymer . | JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS , 2022 , 45 (2) , 131-137 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
In the magnetic composite fluid (MCF) polishing process, appropriate polishing parameters are the basis of achieving high-quality polishing without damage. Appropriate polishing parameters are mainly based on an accurate polishing model and an excellent polishing parameters optimization algorithm. However, due to the complicated principle of MCF polishing and various influencing elements, traditional modeling methods have the limitations of low accuracy, poor application, and difficulty in correcting. Therefore, it is challenging to obtain the optimal polishing quality by optimizing the polishing parameters based on the traditional model. This study proposed an online modeling approach considering data cleaning based on machine learning modeling, and the particle swarm optimization (PSO) algorithm was used to optimize polishing parameters. Then, copper polishing experiments were carried out to validate the modeling and optimization methods. The results demonstrate that the proposed machine learning online modeling method can establish an accurate MCF polishing model, and the nano-scale fine polishing of copper can be achieved by the optimized polishing parameters of PSO, and the surface roughness of the copper sample was reduced by 85% to 0.031 mu m.
Keyword ：
Polishing parameters Polishing parameters Surface roughness Surface roughness Magnetic composite fluid polishing Magnetic composite fluid polishing Particle swarm optimization algorithm Particle swarm optimization algorithm
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Fan, Jinwei , Ren, Xingfei , Pan, Ri et al. Model and Optimize the Magnetic Composite Fluid (MCF) Polishing Process with Machine Learning Modeling and Intelligent Optimization Algorithm [J]. | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING , 2022 , 23 (9) : 957-967 . |
| MLA | Fan, Jinwei et al. "Model and Optimize the Magnetic Composite Fluid (MCF) Polishing Process with Machine Learning Modeling and Intelligent Optimization Algorithm" . | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING 23 . 9 (2022) : 957-967 . |
| APA | Fan, Jinwei , Ren, Xingfei , Pan, Ri , Wang, Peitong , Tao, Haohao . Model and Optimize the Magnetic Composite Fluid (MCF) Polishing Process with Machine Learning Modeling and Intelligent Optimization Algorithm . | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING , 2022 , 23 (9) , 957-967 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
The machining precision of grinding machine determines the precision of parts. To improve the machining accuracy, an effective geometric error modeling and compensation method was proposed. Firstly, the comprehensive error model of grinding machine was established based on differential theory. In contrast to the multi-body system theory, the proposed modeling method can simplify the calculation process and reflect the influence of each component on the tool. Secondly, MATLAB curve fitting tool was used to fit the known error function, and a link between 24 basic geometric error terms (BGETs) and milling instructions was discovered using the sum of sine function. Finally, the compensation dosage (dx dz db dc) for the grinding machine comprehensive error was determined by combining 24 fitting functions, the known error, the differential matrix of each part, and the Jacobian matrix. To test the feasibility of the above method, the grinding machine geometric error compensation experiment was conducted. The average machining accuracy is increased by 15.948%. It is showed that the proposed method can realize the error compensation of CNC grinding machine well.
Keyword ：
Geometric error compensation Geometric error compensation Differential matrix Differential matrix Jacobian matrix Jacobian matrix Comprehensive error model Comprehensive error model
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Fan, Jinwei , Ye, Qian . Research on geometric error modeling and compensation method of CNC precision cylindrical grinding machine based on differential motion theory and Jacobian matrix [J]. | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2022 , 120 (3-4) : 1805-1819 . |
| MLA | Fan, Jinwei et al. "Research on geometric error modeling and compensation method of CNC precision cylindrical grinding machine based on differential motion theory and Jacobian matrix" . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 120 . 3-4 (2022) : 1805-1819 . |
| APA | Fan, Jinwei , Ye, Qian . Research on geometric error modeling and compensation method of CNC precision cylindrical grinding machine based on differential motion theory and Jacobian matrix . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2022 , 120 (3-4) , 1805-1819 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
五轴联动龙门铣床误差分析与检测辨识研究
Keyword ：
五轴机床 五轴机床 误差辨识 误差辨识 误差检测 误差检测 几何误差 几何误差
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 范晋伟 , 叶倩 , 刘强 et al. 五轴联动龙门铣床误差分析与检测辨识研究 [J]. | 范晋伟 , 2021 , (5) : 100-105 . |
| MLA | 范晋伟 et al. "五轴联动龙门铣床误差分析与检测辨识研究" . | 范晋伟 5 (2021) : 100-105 . |
| APA | 范晋伟 , 叶倩 , 刘强 , 潘日 , 李伟华 , 制造技术与机床 . 五轴联动龙门铣床误差分析与检测辨识研究 . | 范晋伟 , 2021 , (5) , 100-105 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
对北京第二机床厂某系列数控磨床主轴系统的故障数据进行处理,绘制主轴系统的概率密度函数散点图,初步假定函数模型,再利用最小二乘法估计未知参数,利用卡方检验和相关系数法进行拟合优度检验,最终确定主轴系统的分布类型为指数分布。根据所属分布类型计算主轴系统的平均故障间隔时间MTBF,平均维修时间MTTR,以及固有可用度A,对主轴系统的可靠性进行评估。所得结果已反馈到生产厂家并获得认可,对数控磨床整机可靠性的提升有重要意义。
Keyword ：
可靠性评估 可靠性评估 主轴系统 主轴系统 数据拟合 数据拟合 可靠性建模 可靠性建模
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 范晋伟 , 薛良良 , 刘强 et al. 数控磨床主轴系统的可靠性建模与评估研究 国家科技重大专项(2019ZX04006-001) [J]. | 制造技术与机床 , 2021 , (1) : 38-42 . |
| MLA | 范晋伟 et al. "数控磨床主轴系统的可靠性建模与评估研究 国家科技重大专项(2019ZX04006-001)" . | 制造技术与机床 1 (2021) : 38-42 . |
| APA | 范晋伟 , 薛良良 , 刘强 , 李伟华 . 数控磨床主轴系统的可靠性建模与评估研究 国家科技重大专项(2019ZX04006-001) . | 制造技术与机床 , 2021 , (1) , 38-42 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
微流控芯片磁性抛光工艺参数优化
Keyword ：
单因素实验 单因素实验 表面粗糙度 表面粗糙度 抛光质量 抛光质量 微流控芯片 微流控芯片 工艺参数优化 工艺参数优化 磁性复合流体抛光 磁性复合流体抛光
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 范晋伟 , 印健 , 潘日 et al. 微流控芯片磁性抛光工艺参数优化 [J]. | 范晋伟 , 2021 , 47 (3) : 209-215,302 . |
| MLA | 范晋伟 et al. "微流控芯片磁性抛光工艺参数优化" . | 范晋伟 47 . 3 (2021) : 209-215,302 . |
| APA | 范晋伟 , 印健 , 潘日 , 北京工业大学学报 . 微流控芯片磁性抛光工艺参数优化 . | 范晋伟 , 2021 , 47 (3) , 209-215,302 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
数控外圆磨床精度优化设计研究现状
Keyword ：
灵敏度分析 灵敏度分析 精度优化设计 精度优化设计 精度优化分配 精度优化分配 误差补偿 误差补偿 误差建模 误差建模
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 范晋伟 , 李晨宝 , 李伟华 et al. 数控外圆磨床精度优化设计研究现状 [J]. | 范晋伟 , 2021 , 55 (4) : 9-12 . |
| MLA | 范晋伟 et al. "数控外圆磨床精度优化设计研究现状" . | 范晋伟 55 . 4 (2021) : 9-12 . |
| APA | 范晋伟 , 李晨宝 , 李伟华 , 工具技术 . 数控外圆磨床精度优化设计研究现状 . | 范晋伟 , 2021 , 55 (4) , 9-12 . |
| Export to | NoteExpress RIS BibTex |
Export
| Results： |
Selected to |
| Format： |
