Evaluation of Permeability Models for Foundry Molds and Cores in Sand Casting Processes

• Autorzy: Sundaram Dinesh , Matsushita Taishi , Belov I. , Diószegi Attila

Identyfikatory

DOI

10.24425/afe.2024.149256

• Języki publikacji: EN

Abstrakty

EN

Predicting the permeability of different regions of foundry cores and molds with complex geometries will help control the regional out gassing, enabling better defect prediction in castings. In this work, foundry cores prepared with different bulk properties were characterized using X-ray microtomography, and the obtained images were analyzed to study all relevant grain and pore parameters, including but not limited to the specific surface area, specific internal volume, and tortuosity. The obtained microstructural parameters were incorporated into prevalent models used to predict the fluid flow through porous media, and their accuracy is compared with respect to experimentally measured permeability. The original Kozeny model was identified as the most suitable model to predict the permeability of sand molds. Although the model predicts permeability well, the input parameters are laborious to measure. Hence, a methodology for replacing the pore diameter and tortuosity with simple process parameters is proposed. This modified version of the original Kozeny model helps predict permeability of foundry molds and cores at different regions resulting in better defect prediction and eventual scrap reduction.

Słowa kluczowe

EN

permeability; Kozeny model; density; foundry core; foundry mold; X-ray microtomography; component casting; cast iron

PL

przepuszczalność; model Kozeny'ego; gęstość; rdzeń odlewniczy; forma odlewnicza; mikrotomografia rentgenowska; odlewanie elementów; żeliwo

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2024
• Tom: Vol. 24, iss. 1
• Strony: 94--106
• Opis fizyczny: Bibliogr. 38 poz., il., tab., wykr

Twórcy

autor

Sundaram Dinesh

• School of Engineering, Jönköping University, Sweden

• https://orcid.org/0000-0003-0847-5142

autor

Matsushita Taishi

• School of Engineering, Jönköping University, Sweden

• https://orcid.org/0000-0003-2929-7891T

autor

Belov I.

• School of Engineering, Jönköping University, Sweden

autor

Diószegi Attila

• School of Engineering, Jönköping University, Sweden

• https://orcid.org/000-0002-3024-9005

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024)