Numerical Simulation of Sand Casting Process: A Case Study on Globe Valve

Author(s):  
Yash Mittal ◽  
Nikhil Parasar ◽  
Jambeswar Sahu ◽  
Umakant Mishra ◽  
Chinmaya P. Mohanty
2010 ◽  
Vol 44-47 ◽  
pp. 117-121
Author(s):  
Bin Feng He ◽  
Zhu Qing Zhao

There are many kinds of casting defects such as insufficient pouring, cooling separation, crack, and shrinkage and soon on were formed in the mold filling and the solidification process, which affect the final casting performance. Based on the mathematical models of mold filling and solidification process, the numerical simulation of chilled cast iron camshaft in sand casting process has been done. The filling behaviors at each stage in the filling process were presented. The temperature distributions in the solidification process were obtained, and the positions of shrinkages were predicted. According to the simulation results, an improved technology is proposed, and the shrinkages were eliminated efficiently. The simulation results are in good agreement with practical.


2019 ◽  
Vol 13 (2) ◽  
pp. 226
Author(s):  
Mahantesh M. Ganganallimath ◽  
Suraj Dhondiram Patil ◽  
E.V. Gijo ◽  
Roopa B. Math ◽  
Vijaykumar Hiremath

2016 ◽  
Vol 14 (2) ◽  
pp. 147 ◽  
Author(s):  
Nedeljko Dučić ◽  
Žarko Ćojbašić ◽  
Radomir Radiša ◽  
Radomir Slavković ◽  
Ivan Milićević

The paper proposes methodology of feeder design and optimization for sand casting process. Casting part is a part of excavator buckets, i.e. holder of the cutting tooth. Process of design and optimization is based on the application of the rules, which are the result of many years of work researchers in the field of metal casting. Computer Aided Design (CAD) is used as a methodology in the design of feeders. Genetic Algorithm (GA) as an artificial intelligence technique is used in the optimization process of the feeder geometry. Computer Aided Manufacturing (CAM) is used as methodology that involves numerical simulation of the casting process. Numerical simulation is used to verify the validity of the optimized geometry of the feeding system.


2019 ◽  
Vol 13 (2) ◽  
pp. 226
Author(s):  
Vijaykumar Hiremath ◽  
Roopa B. Math ◽  
Mahantesh M. Ganganallimath ◽  
Suraj Dhondiram Patil ◽  
E.V. Gijo

2011 ◽  
Vol 121-126 ◽  
pp. 1367-1371 ◽  
Author(s):  
Qing Ming Chang ◽  
Yin Kai Yang ◽  
Xia Chen ◽  
Chang Jun Chen ◽  
Si Qian Bao

In this research work, ProCAST software is employed to study the sand casting process of a box-type part for wind turbine. The casting part is big in size, non-uniform in wall thickness, and heavy in some local positions. Shrinkage cavity and porosity are very likely to from at these locations. By numerical simulation, the influence of the parameters such as pouring temperature, chills, riser on mold filling and solidification is analyzed. Simulation researches reveal that with appropriate pouring temperature, correct number, size and location of chills and risers, a smooth mold filling, reduced shrinkage and other defects are available and desired sound castings can be produced.


2020 ◽  
Vol XVII (2) ◽  
pp. 23-33
Author(s):  
Faisal Hafeez ◽  
Salman Hussain ◽  
Wasim Ahmad ◽  
Mirza Jahanzaib

This paper presents the study to investigate the effects of binder ratio, in-gate length and pouring height on hardness, surface roughness and casting defects of sand casting process. Taguchi methodology with L9 orthogonal array was employed to design the experimentation. Sand casting of six blade impeller using A356 alloy was performed and empirical models for all the above response measures were formulated. Confirmatory tests and analysis of variance results confirmed the accuracy of the model. Binder ratio was found to be the most significant parameter affecting casting surface defects and surface roughness. This was followed by pouring height and in-gate length.


2021 ◽  
Vol 62 ◽  
pp. 119-131
Author(s):  
I. Rajkumar ◽  
N. Rajini ◽  
A. Alavudeen ◽  
T. Ram Prabhu ◽  
S.O. Ismail ◽  
...  

2021 ◽  
Vol 1802 (2) ◽  
pp. 022096
Author(s):  
Yifei Wang ◽  
Zhongde Shan ◽  
Haoqin Yang ◽  
Xueliang Zhang ◽  
Mengmeng Zhao

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