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Removal of CrMo alloy steel components from investment casting gating system using vibration-excited fatigue failure

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Abstract

In investment casting, the separation of cast components composed of strong, hard materials from the gating system is a delicate operation, which can incur considerable costs in terms of labor and tools. In this study, we substituted conventional grinder cutting with vibration-induced fatigue failure to facilitate the separation of chromium-molybdenum (CrMo) alloy steel components from an investment casting tree. This process involves the creation of V-shape notches on the ingate structure as well as modifications to component layout within the pattern tree. Vibration-excited dynamic experiments were performed to examine the effects of notch designs on stress concentration and cutting off at the ingates. Mold flow analysis was used to optimize the design of the pouring system to ensure casts of high quality. Finite element method (FEM) and experimental modal analysis (EMA) were conducted to predict the efficacy of the model and vibration characteristics. The application of harmonic response analysis to a casting tree model determined the maximum and minimum principal stresses at ingate notches. Once the stress values at the ingate notches were sufficient to ensure failure conditions, the same parameters were used to perform a final experiment for verification. Experiment results revealed that the breaks indeed occurred at the notches of the ingate. The proposed approach could be used as an alternative to conventional cutting using a grinding wheel as a means of reducing labor costs, increasing safety, and enhancing production efficiency.

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References

  1. Abdul-Karem W, Green N, Al-Raheem KF (2012) Vibration-assisted filling capability in thin wall investment casting. Int J Adv Manuf Technol 61:873–887

    Article  Google Scholar 

  2. Pattnaik S, Karunakar DB, Jha PK (2012) Developments in investment casting process—a review. J Mater Sci Technol 212(11):2332–2348

    Article  Google Scholar 

  3. Tian J, Xue X, Zhang Y, Gao Y, Liu L, Sun Q, Yuan S (2003) Numerical simulation and shrinkage defects prediction of a turbine blade investment casting. J Mater Sci Technol 19:32–34

    Google Scholar 

  4. 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 74:1275–1282

    Article  Google Scholar 

  5. Spruit MJ, Karsen CV, Vilmann CR (2004) Modal testing & modeling considerations for a thin simply supported plate. Proceeding of the 22th international modal analysis conference, Paper No. s38p03

  6. Wang BT, Chen PH, Chen RL (2006) Finite element model verification for the use of piezoelectric sensor in structural modal analysis. J Mech 22(2):235–242

    Google Scholar 

  7. Hanouf Z, Faris WF, Nor MJM (2013) Dynamic characterization of car door and hood panels using FEA and EMA. Appl Mech Mater 471:89–96

    Article  Google Scholar 

  8. Lee YC, Wang BT, Lai YS, Yeh CL, Chen RS (2008) Finite element model verification for packaged printed circuit board by experimental modal analysis. Microelectron Reliab 48:1837–1846

    Article  Google Scholar 

  9. Parloo E, Verboven P, Guillaume P, Overmeire M (2003) Force identification by means of in-operation modal model. J Sound Vib 262:161–173

    Article  Google Scholar 

  10. Mohanty P, Rixen D (2004) Operational modal analysis in the presence of harmonic excitation. J Sound Vib 270:93–109

    Article  Google Scholar 

  11. Hu H, Wang BT, Lee CH, Su JS (2006) Damage detection of surface cracks in composite laminates using modal analysis and strain energy method. Compos Struct 74:399–405

    Article  Google Scholar 

  12. Babaei R, Abdollahi J, Homayonifar P, Varahram N, Davami P (2006) Comput Methods Appl Mech Eng 195:775–795

    Article  Google Scholar 

  13. Seo SM, Kima IS, Jo CY, Ogi K (2007) Grain structure prediction of Ni-base superalloy castings using the cellular automaton-finite element method. Mater Sci Eng A 449-451:713–716

    Article  Google Scholar 

  14. Puga H, Barbosa J, Azevedo T, Ribeiro S, Alves JL (2016) Low pressure sand casting of ultrasonically degassed AlSi7Mg0.3 alloy: modelling and experimental validation of mould filling. Mater Des 94:384–391

    Google Scholar 

  15. Zhang J, Zhang D, Wu P, Wang G, Li F, Dai P (2014) Numerical simulation research of investment casting for TiB 2/A356 aluminum base composite. Rare Metal Mater Eng 43(1):0047–0051

    Article  Google Scholar 

  16. Mirbagheri SHM, Silk JR, Davami P (2004) Modelling of foam degradation in lost foam casting process. J Mater Sci 39:4593–4603

    Article  Google Scholar 

  17. Cross M, Campbell J (1995) Modelling of casting, welding and advanced solidification processes—VII

  18. 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(9):1–5

    Article  Google Scholar 

  19. Cramer A, Eckert S, Galindo V, Gerbeth G, Willers B, Witke W (2004) Liquid metal model experiments on casting and solidification processes. J Mater Sci 39:7285–7294

    Article  Google Scholar 

  20. Qi DL, Cao HX, Yang MH, Zhang PL (2014) Numerical analysis and optimization of die casting aluminum alloy oil pan based on the AnyCasting software. Chongqing Foundry Symposium, pp 377–382

  21. 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 79:997–1006

    Article  Google Scholar 

  22. Chen L, You GQ, Yue M, Yang MH, Li Y, Li W (2014) Design and optimization of process structure and parameters for the solidification process of complicated housings type magnesium die casting part. Chongqing Foundry. Symposium, pp 383–387

  23. 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 627:46–49

    Article  Google Scholar 

  24. Campbell J (1997) Ten rules for good casting. Mod Cast 97(4):36–39

    Google Scholar 

  25. Jolly M (2003) Comprehensive structural integrity: castings. Elsevier 1:377–466

    Google Scholar 

  26. Waite D, Samond M (1991) Finite element simulation of solidification in investment casting. In: 39th annual technical meeting: investment casting institute, vol 17, pp. 1–25

    Google Scholar 

  27. User manual of AnyCasting, version 6.0

  28. Niyama E, Uchida T, Morikawa M, Saito S (1982) A method of shrinkage prediction and its application to steel casting practice. Am Foundry Symp-Int Cast Met J 7:52–63

    Google Scholar 

  29. Carlson KD, Ou S, Beckermann C (2005) Feeding of high-nickel alloy castings. Metall Mater Trans B-Proc Metall Mater 36B:843–856

    Article  Google Scholar 

  30. Ewins DJ (2000) Modal testing: theory, practice and application, 2 edn. Research Studies Press, Baldock, Hertfordshire

    Google Scholar 

  31. Tsai TY, Yeh CL, Lai YS, Chen RS (2007) Response spectra analysis for undamped structural systems subjected to half-sine impact acceleration pulses. Microelectron Reliab 47(8):1239–1245

    Article  Google Scholar 

  32. Yeh CL, Tsai TY, Lai Y-S (2007) Transient analysis of drop responses of electronic packages using response spectra incorporated with modal superposition. Microelectron Reliab 47(12):2188–2196

    Article  Google Scholar 

  33. Data Table for SCM435 Steel (2012) Website, http://steelgr.com/Steel-Grades/Carbon-Steel/scm435.html

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Kuo, JK., Huang, PH. & Guo, MJ. Removal of CrMo alloy steel components from investment casting gating system using vibration-excited fatigue failure. Int J Adv Manuf Technol 89, 101–111 (2017). https://doi.org/10.1007/s00170-016-9079-1

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