A verification of thermophysical properties of a porous ceramic investment casting mould using commercial computational fluid dynamics softwareShow others and affiliations
2020 (English)In: IOP Conference Series: Materials Science and Engineering, Institute of Physics Publishing , 2020, Vol. 861, no 1, article id 012036Conference paper, Published paper (Refereed)
Abstract [en]
Defects in cast metals remain a common problem in many areas of the foundry industry, particularly in the investment casting of large area, thin-walled components for aerospace applications. During previous research, the thermophysical properties, density and porosity of a fibre reinforced ceramic investment casting mould were determined using several experimental techniques. Without verification, these experimental results remain nothing more than educated guesswork. The purpose of this study is to verify previous results and to more fully characterise the ceramic mould material with complementary measurements. A commercially available computational fluid dynamic (CFD) simulation package, Flow-3D®, was used in conjunction with a full-scale Ni-superalloy (IN718) casting to assess the accuracy of these results. By placing thermocouples strategically across the mould thickness, temperature profiles were determined and compared directly to predicted profiles extracted from the simulation by a custom-written Python script.
Place, publisher, year, edition, pages
Institute of Physics Publishing , 2020. Vol. 861, no 1, article id 012036
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-45383DOI: 10.1088/1757-899X/861/1/012036Scopus ID: 2-s2.0-85087024088OAI: oai:DiVA.org:ri-45383DiVA, id: diva2:1455127
Conference
15th International Conference on Modelling of Casting, Welding and Advanced Solidification Processes, MCWASP 2020, 22 June 2020 through 23 June 2020
Note
Funding details: Engineering and Physical Sciences Research Council, EPSRC; Funding text 1: The authors would like to thank the Engineering and Physical Sciences Research Council (EPSRC) and TPC Components AB for providing their financial support towards this research. In addition, The authors would like to specifically thank Daniel Kuivamäki (TPC Components AB) and personnel of the Flow 3D® support team for their technical support with the computer simulations. The data used in this paper is described in the Cranfield Online Data Repository (CORD) at: http://doi.org/10.17862/cranfield.rd.9934280
2020-07-222020-07-222025-09-23