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Determination of the Open Risers more Effective Zone for Steel Wheel Casts

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Abstract:

The manufacture by casting, remains the most economical way to obtain pieces with complex geometries and diverse alloys. This is a highly complex process given the large number of variables and factors involved in it, thus, when one of these is ignored and/or left out of control, process errors and distortions usually occur. The present paper introduces a design of experiment of the type: Central Composite Design (22) + Star, that took into account the variation of important parameters in the pouring, solidification and cooling process, such as pouring temperature and pouring ratio, and that also added the “coefficient factor” relating the geometric parameters of the risers. This design studied the factors ‘effects in 16 runs, including 2 central points per block, with the aim of finding the best working area of the risers and the optimal values of the parameters studied under specific conditions. The statistical processing of the data obtained showed the relationships between the parameters studied and the different regression equations. The results obtained allowed to establish new procedures and work volumes for the risers in order to reduce the consumption of material during the process.

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Periodical:

Materials Science Forum (Volume 952)

Pages:

114-122

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.952.114

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Online since:

April 2019

Authors:

Lázaro Humberto Suárez Lisca, Daynier Rolando Delgado Sobrino*, Norge Isaias Coello Machado

Keywords:

Reduction of Defects, Risers, Simulation, Steel Cast

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© 2019 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] E. Glistau, N.I. Coello Machado. Industry 4.0, Logistics 4.0 and Materials - Chances and Solutions, Materials Science Forum 919 (2018) 307-314.

DOI: 10.4028/www.scientific.net/msf.919.307

Google Scholar

[2] U.A Dabade, R.C. Bhedasgaonkar. Casting Defect Analysis using Design of Experiments (DoE) and Computer Aided Casting Simulation Technique, Forty Sixth CIRP Conference on Manufacturing Systems (2013).

DOI: 10.1016/j.procir.2013.06.042

Google Scholar

[3] L.H. Suárez Lisca, N.I. Coello Machado. The simulation as prediction tool to determine the method of riser calculation more efficient. Acta Tehnica Corviniensis-Bulletin of Engineering. 7 (2014) 57-62.

DOI: 10.1002/9781118767061.ch20

Google Scholar

[4] L.H. Suárez Lisca, N.I. Coello Machado. Incidencia de la simulación en la disminución del consumo de materias primas en la industria de la fundición. VIII Conferencia Científica Internacional Medio Ambiente Siglo XXI, MAS XXI 2013. Hotel HUSA Cayo Santa María Beach Resort, Santa Clara, Cuba.

DOI: 10.2307/j.ctv25tnw6x.16

Google Scholar

[5] M.O. Duffy, P.M. Morris, R.J. Mador, Casting solidification analysis and experimental verification. Finite Elements in Analysis and Design. 4(1) (1988) 1-7.

DOI: 10.1016/0168-874x(88)90019-4

Google Scholar

[6] R.E. Johnston, Design of experiments: Taguchi in the foundry. AFS Transaction. 82 (1989) 415-418.

Google Scholar

[7] S. Kumar, P.S. Satsangi, D.R. Prajapati, Optimization of green sand casting process parameters of a foundry by using Taguchi's method. International Journal of Advance Manufacturing Technology. 55 (2011) 23-34.

DOI: 10.1007/s00170-010-3029-0

Google Scholar

[8] J.L Gaindhar, C. Mohan, S. Tyagig, Optimization of riser design in metal casting. Engineering Optimization, 14(1988) 1-26.

DOI: 10.1080/03052158808941196

Google Scholar

[9] D.R. Gunasegaram, D.J. Farnsworth, Identification of critical factors affecting shrinkage porosity in permanent mold casting using numerical simulations based on design of experiments. Materials processing technology. 209 (2009) 1209-1219.

DOI: 10.1016/j.jmatprotec.2008.03.044

Google Scholar

[10] R. Tavakoli, P. Davami, Optimal riser design in sand casting process by topology optimization with SIMP method I: Poisson approximation of nonlinear heat transfer equation. Struct Multidisc Optim. 36 (2008) 193-202.

DOI: 10.1007/s00158-007-0209-0

Google Scholar

[11] , K. Manikanda Prasath, Optimal Riser Design in Sand Casting Process Using Genetic Algorithm. International Journal of Scientific & Engineering Research. 5 (2014) 371-374.

Google Scholar

[12] R.L. Naro. Porosity Defects in Iron Castings From Mold-Metal Interface Reactions. AFS Transaction. 107 (1999) 839-851.

Google Scholar

[13] R. Echevarria. Discontinuidades inherentes, Defectología. 2002, Universidad Nacional del Comahue-Facultad de Ingeniería. (2002) 55.

Google Scholar

[14] B.J. Chudasama, Solidification Analysis and Optimization Using Pro-Cast, International Journal of Research in Modern Engineering and Emerging Technology, 1 (2013) 9-19.

Google Scholar