Effect of load on the tribo-performance of 23-8N valve steel against GGG-60 seat material

2019 ◽  
Vol 19 ◽  
pp. 349-353
Author(s):  
Umair Ashraf ◽  
S. Shahid Saleem ◽  
M.F. Wani ◽  
M. Jebran Khan
Keyword(s):  
Alloy Digest ◽  
1975 ◽  
Vol 24 (7) ◽  

Abstract CARPENTER AMS 5700 is an austenitic chromium-nickel-tungsten valve steel which offers good high-temperature properties and resistance to corrosion in exhaust valves. This datasheet provides information on composition, physical properties, hardness, and tensile properties as well as fracture toughness and creep. It also includes information on high temperature performance and corrosion resistance as well as forming, heat treating, and machining. Filing Code: SS-313. Producer or source: Carpenter Technology Corporation.


2021 ◽  
Vol 1798 (1) ◽  
pp. 012013
Author(s):  
Shanpeng Qin ◽  
Peng Lv ◽  
Sirun Li ◽  
Yongcun Li

1966 ◽  
Vol 15 (148) ◽  
pp. 10-16
Author(s):  
Takuro SAGA ◽  
Omi MIYAKAWA ◽  
Tamihiko AIHARA ◽  
Kunio SUEYOSHI

2011 ◽  
Vol 480-481 ◽  
pp. 1293-1297
Author(s):  
Hai Feng Chen ◽  
Feng Cao

With China cast CAE / InteCAST, we analyzed the ordinary valve casting parameters of solidification process, flow and heat transfer, and frequency smelting refining furnace used in the process of feeding wire, argon technology in the intermediate. Comparison-ray testing and physical anatomy of the results, we developed nuclear power valve steel casting process parameters. The results showed that the software forecast casting the shrinkage tendency of value; frequency smelting refining controlled sulfur, phosphorus and aluminum content; products fully comply with the ASTM A216/A216M overcome hot cracking defects, improving the casting ability of anti-fatigue.


2012 ◽  
Vol 32 ◽  
pp. 853-860 ◽  
Author(s):  
M. Atapour ◽  
F. Ashrafizadeh

2015 ◽  
Vol 813-814 ◽  
pp. 376-381 ◽  
Author(s):  
B. Yazhini ◽  
S. Rajeswari ◽  
Sivasakthivel

This paper embarks the machining parameters of Turning by optimization using Taguchi’s approach. The optimization is very essential in order to obtain the expected surface quality. The results of cutting parameters of optimization is seen in the Surface Roughness, Tool wear and MRR of the material. The L18 Orthogonal array has been chosen for the optimization of Valve Steel SUH03.The uncoated carbide inserts were used and the four parameters Speed, Feed, Depth of Cut and Nose Radius has been taken as input parameters. The Signal to Noise ratio and Analysis of Variance software has been analyzed using Minitab software through which the optimal cutting parameters of the best surface roughness, tool wear and MRR has been obtained. The final results have been compared by the Gray relational analysis to find the optimum machining conditions of all the parameters.


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