Qishuyan Institute Co.

Qishuyan, China

Qishuyan Institute Co.

Qishuyan, China
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Xue S.,University of Science and Technology Beijing | Tian J.,University of Science and Technology Beijing | Cheng G.-G.,University of Science and Technology Beijing | Zhou G.-Z.,University of Science and Technology Beijing | Wang W.-H.,Qishuyan Institute Co.
Journal of Iron and Steel Research | Year: 2013

The effect of heating temperature,holding time and type of cooling on surface oxidation and decarburization of a newly developed spring steel for elastic bar of high speed railway was investigated in laboratory. The results show that with the growth of heating temperature between 800 and 1100 C, the depth of oxidation layer increases gradually below 1050 'C then increases sharply; the depth of decarburization layer increased and the speed is more and more faster; the ferritic decarburized depth of the spring steel increases firstly, then decreases and when the temperature is 900 'C, it reaches the maximum. With the growth of the holding time in the range of 20-120min, the depth of oxidation and decarburization layer increases gradually. Compared with temperature, the holding time has smaller effect on the depth of oxidation. On the conditions including water-cooled, air-cooled and furnace-cooled, the depth of oxidation and decarburization cooled in water is smallest, followed by cooled in air and cooled in furnace is the most serious condition. So the greater the cooling rate, the smaller the depth of oxidation and decarburization.


Ai Y.,University of Science and Technology Beijing | Sun C.,University of Science and Technology Beijing | Que H.,Qishuyan Institute Co. | Zhang W.,University of Science and Technology Beijing
Metals | Year: 2015

Structural materials damages are always in the form of micro-defects or cracks. Traditional or conventional methods such as micro and macro examination, tensile, bend, impact and hardness tests can be used to detect the micro damage or defects. However, these tests are destructive in nature and not in real-time, thus a non-destructive and real-time monitoring and characterization of the material damage is needed. This study is focused on the application of a non-destructive and real-time acoustic emission (AE) method to study material performance degradation of a high-strength aluminum alloy of high-speed train gearbox shell. By applying data relative analysis and interpretation of AE signals, the characteristic parameters of materials performance were achieved and the failure criteria of the characteristic parameters for the material tensile damage process were established. The results show that the AE method and signal analysis can be used to accomplish the non-destructive and real-time detection of the material performance degradation process of the high-strength aluminum alloy. This technique can be extended to other engineering materials. © 2015 by the authors; licensee MDPI, Basel, Switzerland.


Sun C.,University of Science and Technology Beijing | Zhang W.,University of Science and Technology Beijing | Ai Y.,University of Science and Technology Beijing | Que H.,Qishuyan Institute Co.
Metals | Year: 2015

The key material of high-speed train gearbox shells is high-strength aluminum alloy. Material damage is inevitable in the process of servicing. It is of great importance to study material damage for in-service gearboxes of high-speed train. Structural health monitoring methods have been widely used to study material damage in recent years. This study focuses on the application of an acoustic emission (AE) method to quantify tensile damage evolution of high-strength aluminum alloy. First, a characteristic parameter was developed to connect AE signals with tensile damage. Second, a tensile damage quantification model was presented based on the relationship between AE counts and tensile behavior to study elastic deformation of tensile damage. Then tensile tests with AE monitoring were employed to collect AE signals and tensile damage data of nine samples. The experimental data were used to quantify tensile damage of high-strength aluminum alloy A356 to demonstrate the effectiveness of the proposed method. © 2015 by the authors.


Ai Y.,University of Science and Technology Beijing | Wang N.,University of Science and Technology Beijing | Que H.,Qishuyan Institute Co. | Yang B.,University of Science and Technology Beijing | Zhang W.,University of Science and Technology Beijing
Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology | Year: 2015

High-speed train gearbox shell is an important component of high-speed train. In order to protect the operational safety of high-speed train gearbox shell, it is needed to detect the casting internal defect as product testing and maintenance inspection accurately and rapidly. In this paper, based on three-dimensional CT technology the test was developed to detect the casting defects of high-speed train gearbox shell; through the analysis of three-dimensional data of the four kinds detects, three-dimensional geometric features and characteristic values were obtained, and the Adaboost_BTSVM algorithm were used to achieve the automatic classification of casting defects of high-speed train gearbox shell. The according classification accuracy of shrinkage defects can be 85%, and the classification accuracy of crack defects can stand at 100%. These will provide an available automatic identification method for the defect of high-speed train gearbox shell. © 2015, Harbin Institute of Technology. All right reserved.

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