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RISS 인기검색어
- 검색키워드
- 저자 : Xiaoping Pang (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
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Xiaoping Pang,Jin Chen,Sinan H. Hussain 대한기계학회 2012 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.26 No.10
This paper deals with multi-objective shape optimization related to the geometrical design of a hydrodynamic journal bearing. The aim proposed here is to show that optimum shape design with better performance could surpass the limitations of existing bearing profiles. Attempting to remove the difficulty of selecting the weighting factor in multi-objective journal bearing optimization problems, a modified non-dominant sort in genetic algorithm was used as an optimization tool with a penalty to those solutions that violate constraints. Three kinds of optimized shapes were manufactured and taken as experimental objects. Experimental apparatus was described and some experimental data was presented. The comparison was made for the optimized bearings between numeric values and experimental data. The results show that the new method for shape optimization of hydrodynamic journal bearings based on the general film thickness equation is feasible.
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Xiaoping Pang,Jin Chen,Sinan H. Hussain 대한기계학회 2013 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.27 No.12
This paper is focused on using GA genetic algorithm to find the optimal performance with respect to shape optimization in three dimensions for the hydrodynamic journal bearing. The mathematical model for film thickness was drawn using Fourier series function and axial waviness value (D) to represent the journal bearing in circumferential and axial direction, respectively. The objective was then to determine the Fourier coefficients and axial waviness value (D) that maximized the load capacity subjected to a given set of constraint. Optimized results show that the presence of cos wave in axial direction, with a positive dimensionless amplitude (+ A) and waviness number m = 0.633 , improves the load capacity by (8-10) % over the cylindrical plain bearing with the same arbitrary shape and size; in general, the increasing order of Fourier series (n), an axial dimensionless amplitude and L/D ratio cause the change in load capacity to become more evident.
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Feiliang Wang,Sandeep Shah,Xiaoping Wang,Xing-Er Wang,Wang-Xi Zhang,Bo Pang,Jian Yang 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.4
The aim of this study is to investigate the effects of varying design variables on the structural behaviour of reinforced concrete (RC) sub-frames under progressive collapse. A finite element modelling approach is presented and validated against the experimental results concerning a 2D frame (3 columns and 2 beams) and a 3D frame (4 columns and 3 beams). The performance of the RC sub-frame is discussed by choosing the scenarios of the exterior, interior, and multiple column loss, respectively, and by increasing the number of stories and bays. Further studies are conducted based on the numerical method to reveal the effect of beam longitudinal reinforcement ratio (BLRR), beam section depth (BSD), and concrete compression strength (CCS). The results show that both BLRR, CCS and BSD have a significant influence on the compressive arch action (CAA) capacity of the structure under progressive collapse, and the load-carrying capacity of the RC sub-frame increases with an increasing number of stories.
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Mechanism optimal design of backhoe hydraulic excavator working device based on digging paths
Jin Chen,Fei Qing,Xiaoping Pang 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.1
In order to solve the problem that hydraulic excavator in the real working process cannot meet the design requirements and reveals insufficientdigging force, a new method on mechanism optimal design of backhoe hydraulic excavator working device based on diggingpaths is introduced and discussed in this paper. Considering the characteristics of consecutive digging process of hydraulic excavator, adigging path is composed of bucket digging trajectories and arm digging trajectories. The feasible working region is divided into a seriesof uniform paths according to the working position of boom. The practical digging performance of excavator is evaluated based on thedigging force parameters under combined work condition of the discrete points on the digging paths. It is turned out that the method ismore accurate to analyze excavator's real-world digging performance via the analysis of some practical cases. Based on the new diggingperformance analysis method, the optimization mathematical model is built to ensure the digging force under combined work conditionand the average digging force of every operating path as big as possible. The layout design of hinge position on the working device isoptimized through genetic algorithm. The optimization result shows that a certain model of an excavator's maximum digging force on thecustomary digging paths is improved by 10% and the average digging force is improved by 4% after the optimization on the workingdevice of the excavator with weak digging force.
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