scholarly journals Splid state bonding of spheroidal graphite cast irons. (Report 5). Development of damping material composed of rolled graphite cast iron and mild steel.

1990 ◽  
Vol 8 (1) ◽  
pp. 14-20 ◽  
Author(s):  
Shizuo Mukae ◽  
Kazumasa Nishio ◽  
Mitsuaki Katoh ◽  
Taiji Torigoe ◽  
Mitsuru Yano
2007 ◽  
Vol 561-565 ◽  
pp. 925-928 ◽  
Author(s):  
Seijiro Maki ◽  
Kazuhito Suzuki ◽  
Kenichiro Mori

Feasibility of semisolid forging of cast iron using rapid resistance heating was experimentally investigated. Gray pig iron FC250 and spheroidal graphite cast iron FCD600, whose carbon equivalents are both 4.3% in mass, were used for the experiments. Since these cast irons have a narrow semisolid temperature range, an AC power supply with an input electric energy control function was used. In this study, the resistance heating characteristics of the cast irons were firstly examined, and then their semisolid forging experiments were conducted. In the forging experiments, the conditions of the forgings such as microstructures and hardness properties were examined, and the feasibility of the semisolid forging of cast iron using resistance heating was discussed. As a result, it was found that the method presented here is highly feasible.


2013 ◽  
Vol 2013 (0) ◽  
pp. 94-95
Author(s):  
Ryosuke SHIMIZU ◽  
Yuki SAITO ◽  
Shinichi SEKIGUCHI ◽  
Fumio SHIBATA ◽  
Hiromasa TAKAHASHI

Author(s):  
E. Pavithra ◽  
Mahesh Dhakal ◽  
Prithvi Hada ◽  
N. Yuvaraj ◽  
K. Sridhar

Piston ring is one of the most important parts of the internal combustion engines. This paper investigates the mechanical and twist fatigue characteristics on different piston ring materials. The piston ring materials were chosen in this study such as grey cast irons (3740 and 6140), malleable cast iron (3929), spheroidal graphite cast iron (6139) and martensitic carbidic grey cast iron (6454). Twist fatigue test was conducted on different materials of piston rings in order to identify the suitable piston ring for the effective operation. Geometrical features and the mechanical properties were also assessed in different materials for the effectiveness of piston rings.


2010 ◽  
Vol 457 ◽  
pp. 428-432
Author(s):  
Yoshitaka Iwabuchi ◽  
Isao Kobayashi

Elevated temperature brittleness (ETB) of spheroidal graphite (s-g) cast iron has been referred to as reduced ductility within an elevated temperature range and has been related to grain boundary brittleness. The phenomenon of ETB has not been yet clearly understood. In this study, the factor affecting on ETB was studied in terms of strain rate and chemical composition. A study was carried out on the influence of phosphorus on ETB by using laboratory-made heats containing different phosphorus contents. ETB indicated the marked decrease in ductility at around 673K. S-g cast iron containing low phosphorus content manifested ETB at temperatures between 650K and 700K. There was a consistent correlation between the fractional increases in intergranular fracture appearance and the decrease in elongation. The increase of phosphorus suppressed ETB and s-g cast irons containing phosphorus exceeding 0.030 % were found to be immune to ETB. It was found that ETB could be suppressed by reducing the ratio of magnesium and phosphorus to less than 1.5.


Vacuum ◽  
2004 ◽  
Vol 73 (3-4) ◽  
pp. 667-671 ◽  
Author(s):  
Minoru Hatate ◽  
Toshio Shiota ◽  
Nobuyuki Abe ◽  
Masaharu Amano ◽  
Toshio Tanaka

2017 ◽  
Vol 270 ◽  
pp. 27-33
Author(s):  
Břetislav Skrbek

The specifics of low-alloyed cast irons after EN 16124 standard of type GJS SiMo for high temperature applications of exhaust tracts of internal combustion piston engines. Boundary exposition temperature. Structure failure of cast iron by temperature overloading. Metalography, SEM, XRD of overexposed exhaust pipelines. Failure reason hypothesis of useful properties by exceeding of critical temperature.


2021 ◽  
Vol 59 (6) ◽  
pp. 430-438
Author(s):  
Hyun-Ji Lee ◽  
In-Kyu Hwang ◽  
Sang-Jun Jeong ◽  
In-Sung Cho ◽  
Hee-Soo Kim

We attempted to classify the microstructural images of spheroidal graphite cast iron and grey cast iron using a convolutional neural network (CNN) model. The CNN comprised four combinations of convolution and pooling layers followed by two fully-connected layers. Numerous microscopic images of each cast iron were prepared to train and verify the CNN model. After training the network, the accuracy of the model was validated using an additional set of microstructural images which were not included in the training data. The CNN model exhibited an accuracy of approximately 98% for classification of the cast irons. Typically, CNN does not provide bases for image classification to human users. We tried to visualize the images between the network layers, to find out how the CNN identified the microstructures of the cast irons. The microstructural images shrank as they passed the convolutional and pooling layers. During the processes, it seems that the CNN detected morphological characteristics including the edges and contrast of the graphite phases. The mid-layer images still retained their characteristic microstructural features, although the image sizes were shrunk. The final images just before connecting the fully-connected layers seemed to have minimalized the information about the microstructural features to classify the two kinds of cast irons. Matrix phases such as ferrite and pearlite did not show prominent effects on the classification accuracy.


Sign in / Sign up

Export Citation Format

Share Document