Investigation of flowability of the green sand mould by remote control of portable flowability sensor

• Autorzy: Abdulamer D.

Identyfikatory

DOI

10.5604/01.3001.0015.6289

• Języki publikacji: EN

Abstrakty

EN

Purpose: The useful data and information during the sand compaction process steps should be collected. Direct measurement methods of the sand mould properties during the actual moulding process are not adopted yet. Design/methodology/approach: In this work, a remote control system [1] have been integrated into a new flowability sensor [2]. Findings: To overcome the complexity of the tools and equipment that existed in laboratory, and in foundry. Research limitations/implications: In order to investigate, and control behavior of the moulding process of bentonite-bonded green sand process, the sensors have been equipped with the Bluetooth technology for a wireless transmission of the measured data to computers. Originality/value: This technique contributes to improve of the compaction process based on the non-destructive tests, enhances prediction of the optimum parameter conditions, and reduced the energy, and the compaction time consumed for the green sand moulding process.

Słowa kluczowe

EN

flowability; moulding process; foundry; wireless system; green sand mould

PL

płynność; proces formowania; odlewnia; system bezprzewodowy

• Wydawca: International OCSCO World Press
• Czasopismo: Archives of Materials Science and Engineering
• Rocznik: 2021
• Tom: Vol. 112, nr 2
• Strony: 70--76
• Opis fizyczny: Bibliogr. 12 poz.

Twórcy

autor

Abdulamer D.

• Energy and Renewable Energies Technology Center, University of Technology, Baghdad, 10066, Iraq

• https://orcid.org/0000-0002-3579-4467

Bibliografia

• [1] J. Bast, D. Abdulamer, A. Kadauw, B. Hentschel, New Investigation of Material-Dependent Control of Flowability in Green Sand Process, Proceedings of the 73rd World Foundry Congress “Creative Foundry”, Cracow, Poland, 2018.
• [2] J. Bast, A new method for the measurement of flowability of green moulding sand, Archives of Metallurgy and Materials 58/3 (2013) 945-952. DOI: https://doi.org/10.2478/amm-2013-0107
• [3] E.S. Aw, Low Cost Monitoring System to Diagnose Problematic Rail Bed: Case Study at a Mud Pumping Site, PhD Thesis, Massachusetts Institute of Technology, USA, 2007.
• [4] Dialog Semiconductor, SmartBond: DA14583 IoT Sensor Development Kit. Available online: https://www.dialog-semiconductor.com/iotsensor
• [5] J. Walker, E. Harris, C. Lynagh, A. Beck, R. Lonardo, B. Vuksanovich, J. Thiel, K. Rogers, B. Conner, E. MacDonald, 3D Printed Smart Molds for Sand Casting, International Journal of Metalcasting 12 (2018) 785- 796. DOI: https://doi.org/10.1007/s40962-018-0211-x
• [6] S.R. Sama, E. MacDonald, R. Voigt, G. Manogharan, Measurement of Metal Velocity in Sand Casting during Mold Filling, Metals 9/10 (2019) 1079. DOI: https://doi.org/10.3390/met9101079
• [7] D. Abdulamer, A. Kadauw, Development of mathematical relationships for calculating material-dependent flowability of green molding sand, Journal of Materials Engineering and Performance 28/7 (2019) 3394-4001. DOI: https://doi.org/10.1007/s11665-019-04089-w
• [8] D. Abdulamer, A. Kadauw, J. Bast, Utilising flowability sensor for green sand mould characterisation, Ziggurat Journal of Materials Technology (ZJMT) 1/1 (2020) 13-22. DOI: https://doi.org/10.36533/zjmt.v1i1.30
• [9] A. Malaschkin, Development of a method for continuous quality control in the wet molding process with automatic molding systems, PhD Thesis, Technical University Bergakademie, Freiberg, 2002 (in German).
• [10] D. Abdulamer, Developemnt of Mathematical Relationships for Calculating of Material-dependent- Flowability of Green Moulding Sand, Proceedings of the 73rd World Foundry Congress “Creative Foundry”, Cracow, Poland, 2018.
• [11] S. Hurst, Metal Casting: Appropriate Technology in the Small Foundry, Practical Action, London, 1996, 57.
• [12] A. Kadauw, J. Bast, D. Fiedler, I. Betchvaia, H.C. Saewert, Computer simulation of squeeze moulding and validation of results using Industrial Computed Tomography (iTC), Archives of Metallurgy and Materials 52/3 (2007) 447-451.