Mechanical characterization and quality of iron castings using optimized mold design: simulations and experimental validation

This paper presents a new approach to analyze the quality of ductile iron castings through simulations and experiments. Standard tensile test specimens are considered as simple cast products for which a multi-cavity mold is designed, simulated, and optimized to minimize porosity using MAGMASoft. X-ray imaging, hardness measurement, and tensile testing are done for selected specimens produced using optimized mold design. Next, finite element simulation of tensile testing until fracture is done in ABAQUS using elastic-plastic material model and porous metal plasticity model. Simulation results for sound specimen are found to be in good agreement with the experimental results. Since mold design optimization is solely based on porosity minimization, no porosity is observed in the final mold design. However, if multi-criteria optimization of mold is done, the specimens may show some porosity which can be integrated in the developed finite element model of tensile testing. It is concluded that simulation-based mold design optimization can produce nearly defect-free castings and at the same time exhibit the similar mechanical properties as their sound counterparts produced with other manufacturing processes.

[1]  Richard A. Hardin,et al.  Prediction of the Fatigue Life of Cast Steel Containing Shrinkage Porosity , 2009 .

[2]  F. Hoffmann,et al.  Comparative Study of Fatigue Endurance Limit for 4 and 6 mm Thin Wall Ductile Iron Castings , 2008 .

[3]  W. Spitzig Effect of hydrostatic pressure on deformation, damage evolution, and fracture of iron with various initial porosities , 1990 .

[4]  N. Aravas On the numerical integration of a class of pressure-dependent plasticity models , 1987 .

[5]  C. Beckermann,et al.  Effect of Porosity on Deformation, Damage, and Fracture of Cast Steel , 2013, Metallurgical and Materials Transactions A.

[6]  Xin Lin,et al.  Numerical simulation and defect elimination in the casting of truck rear axle using a nodular cast iron , 2011 .

[7]  Edward J. Garboczi,et al.  Elastic Properties of Model Porous Ceramics , 2000, cond-mat/0006334.

[8]  T. Anderson Fracture Mechanics: Fundamentals and Applications, Third Edition , 1994 .

[9]  Filippo Berto,et al.  Mechanical and fatigue properties of pearlitic ductile iron castings characterized by long solidification times , 2017 .

[10]  Viggo Tvergaard,et al.  An analysis of ductile rupture in notched bars , 1984 .

[11]  Annalisa Pola,et al.  Fatigue Characterization and Optimization of the Production Process of Heavy Section Ductile Iron Castings , 2016, International Journal of Metalcasting.

[12]  Harshil Bhatt,et al.  Design Optimization of Feeding System and Solidification Simulation for Cast Iron , 2014 .

[13]  Luca Tomesani,et al.  Microstructure and mechanical properties of heavy section ductile iron castings: experimental and numerical evaluation of effects of cooling rates , 2015 .

[14]  Richard A. Hardin,et al.  Effect of Porosity on the Stiffness of Cast Steel , 2007 .

[15]  V. Tvergaard Influence of voids on shear band instabilities under plane strain conditions , 1981 .

[16]  Nini Pryds,et al.  Fundamentals of Numerical Modelling of Casting Processes , 2005 .

[17]  A. Gurson Continuum Theory of Ductile Rupture by Void Nucleation and Growth: Part I—Yield Criteria and Flow Rules for Porous Ductile Media , 1977 .

[18]  Filippo Berto,et al.  Fatigue properties of ductile cast iron containing chunky graphite , 2012 .

[19]  A. Egner-Walter,et al.  Using stress simulation to tackle distortion and cracking in castings , 2013 .

[20]  M. Ibrahim,et al.  Effect of Processing Parameters on the Mechanical Properties of Heavy Section Ductile Iron , 2015 .