Design of casting systems for stainless steel exhaust manifold based on defective prediction model and experimental verification

  • Jenn-Kun Kuo
  • Pei-Hsing HuangEmail author
  • Hsin-Yi Lai
  • Wei-Jen Wu


High-performance exhaust manifolds are expected to operate in high-temperature and corrosive environments. Any cavitation or surface corrosion induced by casting defects can cause air leakage, reduce exhaust efficiency, and shorten the lifespan of the device. In this study, we sought to eliminate casting defects by optimizing the gating system used in the production of an SUS316 stainless steel exhaust manifold, based on the probability and distribution of porosity defects, as determined using the retained melt modulus (RMM) model. Mold flow analysis and experiments were conducted to configure gating systems to operate under a variety of processing parameters. Our predictions pertaining to defect formation were in good agreement with experiment results. Simulations revealed that side gating systems improved flow stability and reduced the encapsulation of gas in the cavity of the top gating section. The resulting scheme increased the casting yield from 24% (using the original casting scheme) to 28%. Experimental verification using non-destructive testing methods revealed that the proposed scheme succeeded in eliminating all of the porosity defects from the cast exhaust manifold.


Investment casting Mold flow analysis Retained melt modulus Shrinkage 


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Funding information

This study was financially supported by the Ministry of Science and Technology, R.O.C. under grants MOST 106-2221-E-020-014 and MOST 106-2622-E-020-004-CC3.


  1. 1.
    Campbell J (2015) Complete casting handbook: metal casting processes, metallurgy, techniques and design, 2nd edn. Butterworth-Heinemann, OxfordGoogle Scholar
  2. 2.
    Thammachot N, Dulyapraphant P, Bohez ELJ (2013) Optimal gating system design for investment casting of sterling silver by computer-assisted simulation. Int J Adv Manuf Technol 67:797–810CrossRefGoogle Scholar
  3. 3.
    Kuo JK, Huang PH, Lai HY, Chen JR (2017) Optimal gating system design for investment casting of 17-4PH stainless steel enclosed impeller by numerical simulation and experimental verification. Int J Adv Manuf Technol 92:1093–1103CrossRefGoogle Scholar
  4. 4.
    Zhang XP, Chen G (2005) Computer simulation of the solidification of cast titanium dental prostheses. J Mater Sci 40:4911–4916CrossRefGoogle Scholar
  5. 5.
    Kuo JK, Huang PH, Guo MJ (2017) Removal of CrMo alloy steel components from investment casting gating system using vibration-excited fatigue failure. Int J Adv Manuf Technol 89:101–111CrossRefGoogle Scholar
  6. 6.
    Chattopadhyay H (2011) Estimation of solidification time in investment casting process. Int J Adv Manuf Technol 55:35–38CrossRefGoogle Scholar
  7. 7.
    Huang PH, Guo MJ (2015) A study on the investment casting of 17-4PH stainless steel helical impeller of centrifugal pump. Mater Res Innov 19(S9):77–81Google Scholar
  8. 8.
    Keste AA, Gawande SH, Sarkar C (2016) Design optimization of precision casting for residual stress reduction. J Comput Design Eng 3(2):140–150CrossRefGoogle Scholar
  9. 9.
    Vasava VM, Joshi DR (2013) Identification of casting defects by computer simulation-a review. Int J Eng Res Technol 2(8):2550–2555Google Scholar
  10. 10.
    Chalekar AA, Daphal SA, Somatkar AA, Chinchanikar SS (2015) Minimization of investment casting defects by using computer simulation-a case study. J Mech Eng Automat 5(3B):43–46Google Scholar
  11. 11.
    Huang PH, Wu WJ, Shieh CH (2017) Compute-aided design of low pressure die-casting process of A356 aluminum wheels. Appl Mech Mater 864:173–178CrossRefGoogle Scholar
  12. 12.
    Huang PH, Wu WJ, Shieh CH (2017) Numerical simulations of low pressure die-casting for A356 aluminum rim. Mater Sci Forum 893:276–280CrossRefGoogle Scholar
  13. 13.
    Dou YQ, Bu K, Dou YL, Dong YW (2010) Reversing design methodology of investment casting die profile based on ProCAST. China Foundry 7(2):132–137Google Scholar
  14. 14.
    Chen Y, Yang XJ (2009) Numerical simulation and experimental investigation for sand casting of exhaust manifold based on AnyCasting. Foundry 58(3):249–252Google Scholar
  15. 15.
    Li YY, Tsai DC, Hwang WS (2008) Numerical simulation of the solidification microstructure of a 17-4PH stainless steel investment casting and its experimental verification. Model Simul Mater Sci Eng 16(4):1–15CrossRefGoogle Scholar
  16. 16.
    Huang PH, Chen YT, Wang BT (2014) An effective method for separating casting components from the runner system using vibration-induced fatigue damage. Int J Adv Manuf Technol 74:1275–1282CrossRefGoogle Scholar
  17. 17.
    Zhi X, Han Y, Yuan X (2015) Casting process optimization for the impellor of 200ZJA slurry pump. Int J Adv Manuf Technol 77:1703–1710CrossRefGoogle Scholar
  18. 18.
    Huang PH, Luo JY, Hung SC, Lin CJ, Cheng HH (2014) Optimal pouring system design for investment casting of cladding thin-plate heater using metallic mold flow analyses. Appl Mech Mater 627:46–49CrossRefGoogle Scholar
  19. 19.
    Huang PH, Lin CJ (2015) Computer-aided modeling and experimental verification of optimal gating system design for investment casting of precision rotor. Int J Adv Manuf Technol 79:997–1006CrossRefGoogle Scholar
  20. 20.
    Huang PH, Huang WJ (2017) Processing design of miniature casting incorporating stereolithography technologies, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 11(8):1379–1382Google Scholar
  21. 21.
    Fang Y, Zhou JX, Yu Y, Hu J, Du QB (2013) Simulation and optimization of investment casting process for auto exhaust manifold. J Changzhou Univ 25(3):45–49Google Scholar
  22. 22.
    Liu T, Zhang WJ (2015) Study on improvement of low pressure casting process in automobile exhaust pipe design. Silicon Valley 2:44–45Google Scholar
  23. 23.
    Lai HQ, Wang YB, Liu AL (2010) Solving of porosity and shrinkage defects in exhaust manifold casting. Metal Cast Forg Tech 39(23):218–221Google Scholar
  24. 24.
    Wang XJ (2010) Integral casting technology of exhaust pipe and cylinder head by LFC. Foundry 59(2):153–156Google Scholar
  25. 25.
    AnyCasting, 2001, tutorial manual. Ver. 6.0., AnyCasting, Co., Ltd. Gangseo-gu, Seoul CityGoogle Scholar
  26. 26.
    Hirt CW, Nichols BD (1981) Volume of fluid (VOF) method for the dynamics of free boundaries. J Comput Phys 39:201–225CrossRefzbMATHGoogle Scholar
  27. 27.
    Nichols, BD and Hirt CW (1975) Methods for calculating multidimensional, transient free surface flows past bodies. Proc of the First International Conf On Num Ship Hydrodynamics, Gaithersburg, ML, Oct. 20–23Google Scholar
  28. 28.
    Nichols BD, Hirt CW (1980) Numerical simulation of BWR vent-clearing hydrodynamics. Nucl Sci Eng 73(2):196–209CrossRefGoogle Scholar
  29. 29.
    Chen S, Raad DB (1997) The surface marker and micro-cell method. Int J Numer Methods Fluids 25:749–778MathSciNetCrossRefzbMATHGoogle Scholar
  30. 30.
    Bahmani A, Hatami N, Varahram N, Davami P, Shabani MO (2013) A mathematical model for prediction of microporosity in aluminum alloy A356. Int J Adv Manuf Technol 64:1313–1321CrossRefGoogle Scholar
  31. 31.
    Wang YC, Li DY, Peng YH, Zhu LG (2007) Computational modeling and control system of continuous casting process. Int J Adv Manuf Technol 33:1–6CrossRefGoogle Scholar
  32. 32.
    Homayonifar P, Babaei R, Attar E, Shahinfar S, Davami P (2008) Numerical modeling of splashing and air entrapment in high-pressure die casting. Int J Adv Manuf Technol 39:219–228CrossRefGoogle Scholar
  33. 33.
    Kim KH, Hwang JH, Oh JS, Lee DH, Kim IH, Yoon YC (2013) Prediction of shrinkage defect in steel casting for marine engine cylinder cover by numerical analysis. World Foundry Congress (WFC06) 209:1–9Google Scholar
  34. 34.
    Lee JK, Choi JK, Hong CP (1998) Thermal parameter-based quality criteria for the prediction of shrinkage defects in steel castings. J. Korea Foundry Society 18:77–84Google Scholar
  35. 35.
    Chen Q, Griffiths WD (2017) The Effect of Sr Modifier Additions on Double Oxide Film Defects in 2L99 Alloy Castings. Metall Mater Trans A 48(11):5688–5698CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of GreenergyNational University of TainanTainanTaiwan, Republic of China
  2. 2.Department of Mechanical EngineeringNational Yunlin University of Science and TechnologyYunlinTaiwan, Republic of China
  3. 3.Department of Mechanical EngineeringNational Pingtung University of Science and TechnologyPingtungTaiwan, Republic of China
  4. 4.Department of Mechanical EngineeringNational Cheng-Kung UniversityTainanTaiwan, Republic of China

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