• Title/Summary/Keyword: Artificial foundry sand

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Selection of Artificial Sand Suitable for Manufacturing Steel Castings through Evaluation of Various Foundry Sand Properties (각종 주물사의 특성과 주강품 주조에 적합한 인공사 선택)

  • Gwang-Sik Kim;Jae-Hyung Kim;Myeong-Jun Kim;Ji-Tae Kim;Ki-Myoung Kwon;Sung-Gyu Kim
    • Journal of Korea Foundry Society
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    • v.43 no.3
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    • pp.107-136
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    • 2023
  • Natural silica sand was commonly used for sand casting of cast steel products, and chromites sand was used to suppress seizure defects due to the lack of thermal properties of silica sand. However there are disadvantages such as deterioration by repeated use, system sand mixing problem, difficulty separating and removing, increased during mold according to high density and to being waste containing chrome. Recently, industrial waste reduction and atmospheric environment improvement have been highlighted as important tasks in the casting industry. In order to solve the problems that occur when using foundry Sand and to improve the environment of casting factories, various artificial sands that can be applied instead of natural silica sand have been developed and introduced. Artificial sands can be classified into artificial sand manufactured by the electric arc atomization or gas flame atomization, artificial sand manufactured by the spray drying & sintering process, artificial sand manufactured by the sintering & crushing process and exhibit different physical properties depending on the type of raw-minerals and manufacturing method. In this study, comparative evaluation tests were conducted on the physical properties of various foundry sands, mold strength, physical durability, thermal durability, and casting test pieces. When comprehensively considering the actual amount of molding sand used according to density, the mold strength according to the shape of sand, the physical and thermal durability of foundry sand, and the heat resistance characteristics of foundry sand, 'Molten artificial sand A1' or 'Molten artificial sand B' is judged to be the most suitable spherical artificial sand for casting of heavy steel castings.

Recycling of $CO_2$-Silicate Bonded Sand

  • Kwon, Hyuk-Moo;Lee, Seoung-Won
    • Resources Recycling
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    • v.5 no.1
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    • pp.9-13
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    • 1996
  • Once-used $CO_2$-silicate bonded sand from domestic foundry is mostly discarded in a reclaimed land because of its bad collapsibility and reproduction properties. So this causes serious environmental problem. We can get 82% recovery of silica from used sand by scrubbing reclamation process in this research. When we repeat the reclamation-recycling of the foundry sand, artificial silica sand is broken down below 2-cycles, but natural silica sand does not destroyed when used repeatedly more than 10-cycles and have a good property of recycling with little change of its size.

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Study on the Application of Domestic Artificial Sands for the Self-hardening Molding Process by Using Furan Resin (후란자경성(自硬性) 주형용(鑄型用) 국산인조규사(國産人造硅砂)의 활용(活用)에 관(關)한 연구(硏究))

  • Choi, Chang-Ock;Lee, Sang-Yun
    • Journal of Korea Foundry Society
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    • v.1 no.3
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    • pp.19-29
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    • 1981
  • An emphasis has been placed on the importance of selecting a sand for furan sand process, which ie affected by the properties of sand. Investigations have been carried out to use the domestic artificial sands for the furan sand process. For laboratory investigations, the sands have been prepared and tested for chemical analysis, loss on ignition, sieve analysis, AFS grain fineness number, grain shape, PH value, acid demand, surface shape, theoretical surface area, moisture absorption, crushing durability and compressive strength and S. S. I. of molding sands. Most commercial sands have been found to be able to be used. The main requirement of the sands has been shown to be that 3 or 4 screen sands, AFS no.40-70 (or 100), of low acid demand, good surface area and good grain shape require less resin and catalyst to give an adequate strength.

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A Study on the Mechanical Properties of Molding Sand with various Water/Clay Ratio. (수분(水分) : 점토비(粘土比)에 따른 주물사(鑄物砂)의 기계적(機械的) 성질(性質)에 관한 연구(硏究))

  • Lee, Kye-Wan;Lee, Choo-Lim
    • Journal of Korea Foundry Society
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    • v.4 no.2
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    • pp.89-95
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    • 1984
  • A Study on the Mechanical Properties of Molding Sand with Various Water/Clay Ratio A standard sample of molding sand was prepared by adding a various amount of bentonite, which has water/clay ratio from 0.4 to 0.6, into artificial sand, Hanyoung #6. The results obtained by measuring the room temperature properties of green mold are as follows. 1. This compressive strength of green molds which have 4% and 10% of bentonite decreased with increasing water/clay ratio, but the maximum strengths of 4.3 (psi) and 7.2 (psi) were observed in the samples with 6%, 8% bentonite respectively when the water/clay is 0.45. 2. The optimum water/clay ratio for strength and permeability increased from 0.4 to 0.5 with increasing clay. 3. The green compressive strength was proportional to the hardness. 4. Deformation increased with increasing water/clay ratio. 5. Flowability decreased with increasing water/clay ratio and clay content in molding sand.

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Development of Calculation Program for Thermophysical Properties of Synthetic Sand Mold (인공주물사의 열물성치 계산 프로그램 개발)

  • In-Sung Cho;Jeong-Ho Nam;K.D. Saveliyev;V.M. Golod;Hee-Soo Kim
    • Journal of Korea Foundry Society
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    • v.43 no.4
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    • pp.194-200
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    • 2023
  • The heat transfer of the mold in the casting process has been calculated by considering the mold as a uniform isotropic material. Since the mold was not a uniform isotropic material, however, the calculation was performed with approximate values, and in particular, estimated values were used when considering compaction and the amount of added binder. In this study, a calculation algorithm of the thermal properties of the sand mold was developed. An algorithm for calculating the thermal conductivity and specific heat based on a thermal resistance model in the case of mono-dispersed sand grains was also developed and applied to sand molds with various size distributions. The thermal properties of sand were calculated for artificial sand, and relatively close values compared to the experimental values were obtained.

Estimation of Permeability of Green Sand Mould by Performing Sensitivity Analysis on Neural Networks Model

  • Reddy, N. Subba;Baek, Yong-Hyun;Kim, Seong-Gyeong;Hur, Bo Young
    • Journal of Korea Foundry Society
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    • v.34 no.3
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    • pp.107-111
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    • 2014
  • Permeability is the ability of a material to transmit fluid/gases. It is an important material property and it depends on mould parameters such as grain fineness number, clay, moisture, mulling time, and hardness. Modeling the relationships among these variable and interactions by mathematical models is complex. Hence a biologically inspired artificial neural-network technique with a back-propagation-learning algorithm was developed to estimate the permeability of green sand. The developed model was used to perform a sensitivity analysis to estimate permeability. The individual as well as the combined influence of mould parameters on permeability were simulated. The model was able to describe the complex relationships in the system. The optimum process window for maximum permeability was obtained as 8.75-10.5% clay and 3.9-9.5% moisture. The developed model is very useful in understanding various interactions between inputs and their effects on permeability.

Machine Learning-based Process Condition Selection Method to Prevent Defects in Korean Traditional Brass Casting (한국 전통 유기 제작에서 결함을 방지하기 위한 기계 학습 기반의 공정 조건 선택 방안)

  • Lee, Seungcheol;Han, Dosuck;Yi, Hyuck;Kim, Naksoo
    • Journal of Korea Foundry Society
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    • v.42 no.4
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    • pp.209-217
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    • 2022
  • In the present study, in order to prevent the misrun defects that occur during traditional brass casting, a method for selecting the proper casting process conditions is proposed. A learning model was developed and demonstrated to be able to learn the presence or absence of defects according to the casting process conditions and to predict the occurrence of defects depending on the certain process given. Appropriate process conditions were determined by applying the proposed method, and the determined conditions were verified through a comparison of different simulation results with additional conditions. With this method, it is possible to determine the casting process conditions that will prevent defects in the desired sand model. This technology is expected to contribute to realization of smart traditional brass farming workshops.