Skip to main content

Advertisement

Log in

Effect of shell mold thickness and insulating wool pattern on internal porosity in investment casting of vortex flow meter

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Investment casting (IC) with different insulating wool pattern and shell mold thickness is investigated for a geometrically complex vortex flow meter in this study. The primary coating consists of zircon (ZrSiO4) with colloidal silica (SiO2) binder. Zircon is regarded as a potential engineering material for high-temperature applications for its chemical stability, strong fracture resistance at higher temperature range, and low thermal expansion coefficient. The fundamental properties of the shell mold, such as mechanical property and thermal properties were experimentally validated. The modulus of rupture was found to be 5.6 ± 0.5 MPa. The Heat transfer coefficient (HTC) was calculated to be in the range of 600–900 W/(m2 K). Later as the input data for numerical simulation. In addition, using a computer-aided numerical (CAE) approach and tests, this research investigated whether the thermal properties of varied layer thicknesses and insulating wool patterns may impact the formation of casting defects. The CAE simulation reveals that the initial layer thickness would result in pipe wall problems. To lessen the hot spot region, the first step is to employ different insulating wool patterns, which could reduce the probability of shrinkage forming by 17%. The second step is to increase the thickness of the mold shell to reduce the percentage of hot spots. It is calculated that the optimal design would reduce the probability of shrinkage defects by 47%. The varying thermal properties may significantly decrease the casting faults of a mass-produced vortex flow meter by altering the thickness of the shell mold. In this study, the best solution for vortex flow meter process improvement has been adopted by an IC foundry and mass-produced. The X ray inspection shows flawless results in the vortex flow meter pipe wall where defects often form, and proves the effect and feasibility of the thermal insulation improvement proposal.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21

Similar content being viewed by others

Data availability

The authors confirm that the data supporting the findings of this study are available within the article.

References

  1. O’Sullivan N, Mooney J, Tanner D (2021) Enhancing permeability and porosity of ceramic shells for investment casting through pre-wetting. J Eur Ceram Soc 41(16):411–422. https://doi.org/10.1016/j.jeurceramsoc.2021.09.022

    Article  Google Scholar 

  2. Vijayaram TR, Sulaiman S, Hamouda A, Ahmad M (2006) Numerical simulation of casting solidification in permanent metallic molds. J Mater Process Technol 178(1–3):29–33

    Article  Google Scholar 

  3. Huang P-H, Shih LK-L, Lin H-M, Chu C-I, Chou C-S (2019) Novel approach to investment casting of heat-resistant steel turbine blades for aircraft engines. Int J Adv Manuf Technol 104(5–8):2911–2923. https://doi.org/10.1007/s00170-019-04178-z

    Article  Google Scholar 

  4. Zhi X, Han Y, Yuan X (2015) Casting process optimization for the impellor of 200ZJA slurry pump. Int J Adv Manuf Technol 77(9):1703–1710

    Article  Google Scholar 

  5. Huang P-H, Chen Y-T, Wang B-T (2014) An effective method for separating casting components from the runner system using vibration-induced fatigue damage. Int J Adv Manuf Technol 74(9):1275–1282

    Article  Google Scholar 

  6. Hou Y, Cheng Z, Feng W, Liu B (2007) Using Procast to forecast and analysis of the shrinkage porosity and its technical optimization swaminathan. China Water Transport 7(3):67–69

    Google Scholar 

  7. Huang PH, Wu WJ, Shieh CH (2017) Compute-aided design of low pressure die-casting process of A356 aluminum wheels. Appl Mech Mater 864:173–178

    Article  Google Scholar 

  8. Dong Y, Li X, Zhao Q, Yang J, Dao M (2017) Modeling of shrinkage during investment casting of thin-walled hollow turbine blades. J Mater Process Technol 244:190–203

    Article  Google Scholar 

  9. Wang D, Sun J, Dong A, Shu D, Zhu G, Sun B (2018) An optimization method of gating system for impeller by RSM and simulation in investment casting. Int J Adv Manuf Technol 98(9–12):3105–3114. https://doi.org/10.1007/s00170-018-2474-z

    Article  Google Scholar 

  10. Kao YC et al (2022) Computer-aided engineering (CAE) simulation for the robust gating system design: improved process for investment casting defects of 316L stainless steel valve housing. Int J Metalcasting pp 1–19

  11. Wang Z, Wang J, Yu L, Wu J, Wang M, Su B (2019) Numerical simulation and process optimization of vacuum investment casting for Be–Al alloys. Int J Metalcast 13(1):74–81

    Article  Google Scholar 

  12. Sun J et al (2019) Gas entrainment behavior of aluminum alloy engine crankcases during the low-pressure-die-casting process. J Mater Process Technol 266:274–282

    Article  Google Scholar 

  13. Li D, Campbell J, Li Y (2004) Filling system for investment cast Ni-base turbine blades. J Mater Process Technol 148(3):310–316

    Article  Google Scholar 

  14. Hu B, Tong K, Niu XP, Pinwill I (2000) Design and optimisation of runner and gating systems for the die casting of thin-walled magnesium telecommunication parts through numerical simulation. J Mater Process Technol 105(1–2):128–133

    Google Scholar 

  15. Zhang X-P, Chen G, Xiong S-M, Xu Q-Y (2005) Computer simulation of the solidification of cast titanium dental prostheses. J Mater Sci 40(18):4911–4916

    Article  Google Scholar 

  16. Kwon H-J, Kwon H-K (2019) Computer aided engineering (CAE) simulation for the design optimization of gate system on high pressure die casting (HPDC) process. Robot Comput-Integr Manuf 55:147–153

    Article  Google Scholar 

  17. Kim E-S, Park J-Y, Kim Y-H, Son G-M, Lee K-H (2009) Evaluation of diecasting mold cooling ability by decompression cooling system. J Korea Found Soc 29(5):238–243

    Google Scholar 

  18. Zheng J, Huang B, Zhou X (2018) A low carbon process design method of sand casting based on process design parameters. J Clean Prod 197:1408–1422

    Article  Google Scholar 

  19. Xu M, Lekakh SN, Richards VL (2016) Thermal property database for investment casting shells. Int J Metalcast 10(3):329–337. https://doi.org/10.1007/s40962-016-0052-4

    Article  Google Scholar 

  20. Huang P-H, Cheng C-Y, Huang W-J, Chou C-S (2019) Optimal design of investment casting system for toothed chain joint: computer simulations and experimental verification. Int J Adv Manuf Technol 106(5–6):1931–1943. https://doi.org/10.1007/s00170-019-04765-0

    Article  Google Scholar 

  21. Burlaga B, Kroma A, Poszwa P, Kłosowiak R, Popielarski P, Stręk T (2022) Heat transfer analysis of 3D printed wax injection mold used in investment casting. Materials 15(19):6545

    Article  Google Scholar 

  22. Sata A, Ravi B (2017) Bayesian inference-based investment-casting defect analysis system for industrial application. Int J Adv Manuf Technol 90(9):3301–3315

    Article  Google Scholar 

  23. Kao YC et al (2022) Prediction of the effect of asymmetric pouring basin geometry on temperature, internal porosity in tilt casting housing of scroll compressor. Int J Metalcast 16(2):613–621

    Article  Google Scholar 

  24. Hardin R, Choi K, Gaul N, Beckermann C (2015) Reliability based casting process design optimisation. Int J Cast Met Res 28(3):181–192

    Article  Google Scholar 

  25. Pichler P, Simonds BJ, Sowards JW, Pottlacher G (2020) Measurements of thermophysical properties of solid and liquid NIST SRM 316L stainless steel. J Mater Sci 55(9):4081–4093

    Article  Google Scholar 

  26. Miyata Y, Okugawa M, Koizumi Y, Nakano T (2021) Inverse columnar-equiaxed transition (CET) in 304 and 316L stainless steels melt by electron beam for additive manufacturing (AM). Crystals 11(8):856

    Article  Google Scholar 

  27. Konrad CH, Brunner M, Kyrgyzbaev K, Völkl R, Glatzel U (2011) Determination of heat transfer coefficient and ceramic mold material parameters for alloy IN738LC investment castings. J Mater Process Technol 211(2):181–186. https://doi.org/10.1016/j.jmatprotec.2010.08.031

    Article  Google Scholar 

  28. [Online]. Available: https://www.isolite.co.jp/products/rcf/isowool-blanket/. Accessed 2021/11

Download references

Acknowledgements

The authors gratefully acknowledge the experimental equipment support provided by the Globaltek Fabrication Co., Ltd.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed equally to the generation and analysis of experimental data, and the development of the manuscript.

Corresponding author

Correspondence to Yiin-Kuen Fuh.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tseng, HW., Chen, TY., Kao, Y.C. et al. Effect of shell mold thickness and insulating wool pattern on internal porosity in investment casting of vortex flow meter. Int J Adv Manuf Technol 127, 2371–2385 (2023). https://doi.org/10.1007/s00170-023-11670-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-023-11670-0

Keywords

Navigation