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Abstract

The paper presents an analysis of SPC (Statistical Process Control) procedures usability in foundry engineering. The authors pay particular attention to the processes complexity and necessity of correct preparation of data acquisition procedures. Integration of SPC systems with existing IT solutions in area of aiding and assistance during the manufacturing process is important. For each particular foundry, methodology of selective SPC application needs to prepare for supervision and control of stability of manufacturing conditions, regarding specificity of data in particular “branches” of foundry production (Sands, Pouring, Metallurgy, Quality).
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Authors and Affiliations

Z. Ignaszak
R. Sika
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Abstract

A significant development of the foundry industry contributes to the creation of high reliability and operational strength castings so that they meet specific standards in accordance with customers’ needs. This technology, however, is inseparably connected with casting defects in finished products. Cast products are subject to various defects which are considered acceptable or not, which is conditioned by the alloy chemical composition and strength characteristics, that is, generally – qualities to be agreed between the foundry and the customer. It is the latter that led the authors to research on designing a tool enabling the most reliable possible assessment of the emerging casting defects, which after proper consultations can be repaired and the casting – sold. The paper presents an original tool named the Open Atlas of Defects (OAD), developed for the last few years to support the evaluation of cast iron defects using Non-Destructive Testing (NDT) casting defects analysis tools (DCC card – Demerit Control Chart, Pareto-Lorenz analysis and ABC analysis). The OAD tool structure was presented as an integral part of the original system module for acquisition and data mining (A&DM) in conjunction with the possibilities of using selected tools for defect analysis support on the example of cast iron casting.

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Authors and Affiliations

R. Sika
M. Rogalewicz
A. Kroma
Z. Ignaszak
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Abstract

The article presents an example of analysis of the influence of selected parameters deriving from data acquisition in foundries on the occurrence of Gas porosity defects (detected by Visual testing) in castings of ductile cast iron. The possibilities as well as related effectiveness of prediction of this kind of defects were assessed. The need to rationally limit the number of possible parameters affecting this kind of porosity was indicated. Authors also benefited from expert group's expertise in evaluating possible causes associated with the creation of the aforementioned defect. A ranking of these parameters was created and their impact on the occurrence of the defect was determined. The classic statistical tools were used. The possibility of unexpected links between parameters in case of uncritical use of these typical statistical tools was indicated. It was emphasized also that the acquisition realized in production conditions must be subject to a specific procedure ordering chronology and frequency of data measurements as well improving the casting quality control. Failure to meet these conditions will significantly affect the difficulties in implementing and correcting analysis results, from which INput/OUTput data is expected to be the basis for modelling for quality control.

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Authors and Affiliations

Z. Ignaszak
R. Sika
M. Rogalewicz
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Abstract

The paper undertakes an important topic of evaluation of effectiveness of SCADA (Supervisory Control and Data Acquisition) systems,

used for monitoring and control of selected processing parameters of classic green sands used in foundry. Main focus was put on process

studies of properties of so-called 1st generation molding sands in the respect of their preparation process. Possible methods of control of

this processing are presented, with consideration of application of fresh raw materials, return sand (regenerate) and water. The studies

conducted in one of European foundries were aimed at pointing out how much application of new, automated plant of sand processing

incorporating the SCADA systems allows stabilizing results of measurement of selected sand parameters after its mixing. The studies

concerned two comparative periods of time, before an implementation of the automated devices for green sands processing (ASMS -

Automatic Sand Measurement System and MCM – Main Control Module) and after the implementation. Results of measurement of

selected sand properties after implementation of the ASMS were also evaluated and compared with testing studies conducted periodically

in laboratory.

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Authors and Affiliations

Z. Ignaszak
J. Kozłowski
M. Perzyk
R. Sika
A. Kochański
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Abstract

The paper indicates the significance of the problem of foundry processes parameters stability supervision and assessment. The parameters, which can be effectively tracked and analysed using dedicated computer systems for data acquisition and exploration (Acquisition and Data Mining systems, A&D systems) were pointed out. The state of research and methods of solving production problems with the help of computational intelligence systems (Computational Intelligence, CI) were characterised. The research part shows capabilities of an original A&DM system in the aspect of selected analyses of recorded data for cast defects (effect) forecast on the example of a chosen iron foundry. Implementation tests and analyses were performed based on selected assortments for grey and nodular cast iron grades (castings with 50 kg maximum weight, casting on automatic moulding lines for disposable green sand moulds). Validation tests results, applied methods and algorithms (the original system’s operation in real production conditions) confirmed the effectiveness of the assumptions and application of the methods described. Usability, as well as benefits of using A&DM systems in foundries are measurable and lead to stabilisation of production conditions in particular sections included in the area of use of these systems, and as a result to improvement of casting quality and reduction of defect number.

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Authors and Affiliations

R. Sika
Z. Ignaszak
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Abstract

The paper includes validation studies of the flow module of the NovaFlow&Solid simulation code. Experiments of ductile iron and gray iron casting in a spiral test of castability were carried out. Casting experiments were then carried out in industrial conditions in the Ferrex Foundry in Poznań and the results are the castability spiral length and local cast iron rate during mould cavity pouring. Simulation tests using NovaFlow&Solid Control Volume code were made. The technological castability test was used to determine thermal-physical data through simplified inversion problem. Influence of physical parameters in the database of simulation code on the spiral length obtained as the result of simulation was analyzed. It was found that critical fraction of capillary flow CLFdown has the biggest impact on cast iron castability in the simulation code. The simulations resulted in defining parameters of gray iron GJL 250 and ductile iron GJS-400-15. For the parameters set, the length of castability spiral in simulations was in accordance with casting experiments.

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Authors and Affiliations

P. Popielarski
ORCID: ORCID
J. Hajkowski
R. Sika
Z. Ignaszak
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Abstract

In this research, the quality of manufactured cast metal-ceramic foams (manufactured using blowing gas) was tested. The causes responsible for defect formation in the composite foams and their consequences were analyzed using the FMEA (Failure Mode and Effects Analysis) method, which is a useful tool for minimizing losses caused by low product quality. This method involves analytically determining correlations between the cause and consequences of potential product defects, and it takes into account the criticality factor (risk). The FMEA analysis showed that pore breaks were the most "critical defect" (with the highest number of effects on the product, the Risk Priority Number, affecting the quality of the composite foam). The second most critical defect was discontinuities in the foam frame structure. Destruction or damage to the foam structure (although very rare) deprived the composite foam of its primary function, which is to reinforce the product. The third most critical defect was non-uniform foam pore size.
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Bibliography

[1] Duarte, I. & Ferreira, J.M.F. (2016). Composite and nanocomposite metal foams. Materials. 9(2), 79. DOI: 10.3390/ma9020079.
[2] Ashby, M.F., Evans, A.G., Fleck, N.A., Gibson, L.J., Hutchinson, J.W., Wadley, H.N.G. (2000). Metal Foams. A Design Guide. (1st ed.). Woburn, MA, USA: Butterworth Heinemann.
[3] Marx, J., Portanova, M. & Rabiei A. (2019). Ballistic performance of composite metal foam against large caliber threats. Composite Structures 225, 111032. DOI: 10.1016/j.compstruct.2019.111032.
[4] Banhart, J. (2001). Manufacture, characterization and application of cellular metals and metal foams. Progress in Materials Science. 46(6), 559-632. DOI: 10.1016/S0079-6425(00)00002-5.
[5] Orbulov, I.N., Szlancsik, A., Kemény, A. & Kincses, D. (2020). Compressive mechanical properties of low-cost, aluminium matrix syntactic foams. Composites Part A: Applied Science and Manufacturing 135, 105923. DOI: 10.1016/j.compositesa.2020.105923.
[6] Bejger A., Chybowski L. & Gawdzińska K. (2018). Utilizing elastic waves of acoustic emission to assess the condition of spray nozzles in a marine diesel engine. Journal of Marine Engineering & Technology. 17(3), 153-159. DOI: 10.1080/20464177.2018.1492361.
[7] Chunhui, K., Liubiao C., Xianlin, W., Yuan, Z. & Junjie, W. (2018). Thermal conductivity of open cell aluminum foam and its application as advanced thermal storage unit at low temperature. Rare Metal Materials and Engineering. 47(4), 1049-1053. DOI: 10.1016/S1875-5372(18)30118-8.
[8] Banhart, J. & Seeliger, H.W. (2008). Aluminium foam sandwich panels: manufacture, metallurgy and applications. Advanced Engineering Materials. 10(9), 793-802. DOI: 10.1002/adem.200800091.
[9] Lehmhus, D., Weise, J., Szlancsik, A. & Orbulov, I.N. (2020. Fracture toughness of hollow glass microsphere-filled iron matrix syntactic foams. Materials. 13(11), 2566. DOI: 10.3390/ma13112566.
[10] Czarnecka-Komorowska, D., Grześkowiak, K., Popielarski, P., Barczewski, M., Gawdzińska, K. & Popławski, M. (2020). Polyethylene wax modified by organoclay bentonite used in the lost-wax casting process: processing−structure−property relationships. Materials. 13(10), 10. DOI: 10.3390/ma13102255.
[11] Przestacki, D., Majchrowski, R. & Marciniak-Podsadna, L. (2016). Experimental research of surface roughness and surface texture after laser cladding. Applied Surface Science. 388(A), 420-423. DOI: 10.1016/j.apsusc.2015.12.093.
[12] Zhou, J., Gao, Z., Cuitino, A.M. & Soboyejo, W.O. (2004). Effects of heat treatment on the compressive deformation behavior of open cell aluminum foams. Materials Science and Engineering A. 386(1-2), 118-128. DOI: 10.1016/ j.msea.2004.07.042.
[13] Yamada, Y., Shimojima, K., Sakaguchi, Y., Mabuchi, M., Nakamura, M. & Asahina, T. (2000). Effects of heat treatment on compressive properties of AZ91 Mg and SG91A Al foams with open-cell structure. Materials Science and Engineering A. 280(1), 225-228. DOI: 10.1016/S0921-5093(99)00671-1.
[14] Xia, X.C., Chen, X.W., Zhang, Z., Chen, X., Zhao, W.M., Liao, B. & Hur, B. (2013). Effects of porosity and pore size on the compressive properties of closed-cell Mg alloy foam. Journal of Magnesium and Alloys. 1(4), 330-335. DOI: 10.1016/j.jma.2013.11.006.
[15] García-Moreno, F. (2016). Commercial applications of metal foams: their properties and production. Materials. 9(2), 85. DOI: 10.3390/ma9020085.
[16] Banhart, J. (2013). Light-metal foams-history of innovation and technological challenges. Advanced Engineering Materials. 15(3), 82-111. DOI: 10.1002/adem.201200217.
[17] Neville, B.P. & Rabiei A. (2008). Composite metal foams processed through powder metallurgy. Materials and Design. 29(2), 388-396. DOI: 10.1016/j.matdes.2007.01.026.
[18] Fuganti, A., Lorenzi, L., Grønsund, A. & Langseth, M. (2000). Aluminum foam for automotive applications. Advanced Engineering Materials. 2(4), 200-204. Doi:10.1002/(SICI)1527-2648(200004)2:4<200::AID-ADEM200>3.0.CO;2-2.
[19] Bhattacharya, A., Calmidi, V.V. & Mahajan, R.L. (2002). Thermophysical properties of high porosity metal foams. International Journal of Heat and Mass Transfer. 45(5), 1017-1031. DOI: 10.1016/S0017-9310(01)00220-4.
[20] Miyoshi, T., Itoh M., Akiyama, S. & Kitahara A. (2000). ALPORAS Aluminum foam: production process, properties, and applications. Advanced Engineering Materials. 2(4), 179-183. DOI: 10.1002/(SICI)1527-2648(200004)2:4179:: AID-ADEM179>3.0.CO;2-G.
[21] Sereni, J.G. (2001). Magnetic systems: specific heat. in: Encyclopedia of Materials: Science and Technology. (4986-4993). Elsevier.
[22] Reay, D. (2013). Metal foams: fundamentals and applications. Applied Thermal Engineering. 61(2), 1. DOI: 10.1016/j.applthermaleng.2013.07.002.
[23] Businessinsider.com: million metal foam market analysis, (2017). Retrieved November 20, 2020, from https://markets.businessinsider.com/news/stocks/global-100-million-metal-foam-market-analysis-2017-1009247173
[24] Gawdzińska, K., Grabian, J., Szweycer, M. (2008). Patent No. 211439. Method of producing structural elements from foamed metals.
[25] Kaczyński, P., Ptak M & Gawdzińska, K. (2020). Energy absorption of cast metal and composite foams tested in extremely low and high-temperatures. Materials & Design. 196. DOI: 10.1016/j.matdes.2020.109114.
[26] Aczel, A.D. (2005). Statistics in management. Warszawa: PWN. (in Polish).
[27] Hamrol, A., Mantura W. (2006). Quality Management: Theory and practice (3rd ed.). Warszawa: PWN. (in Polish).
[28] Hamrol, A. (2007). Quality management with examples. Warszawa: PWN. (in Polish).
[29] Gawdzińska, K. (2018). Assessment of the quality of cast material-ceramic composite foams (in Polish). Archives of Foundry Engineering. Katowice–Gliwice: Komisja Odlewnictwa PAN.
[30] Sika, R., Rogalewicz, M., Popielarski, P., Czarnecka-Komorowska, D., Przestacki, D., Gawdzińska, K. & Szymański, P. (2020). Decision support system in the field of defects assessment in the metal matrix composites castings. Materials. 13(16), 3552. DOI: 10.3390/ma13163552.
[31] Gawdzińska, K. (2015). Study of metallic-ceramic composite foams with application of the computer tomograph. Metalurgija. 54 (4), 671-674.
[32] Sobczak, J. (1998). Metal monolithic and composite foams and gazars. A compendium of knowledge about metal cell structures used in modern technical design. Kraków: Instytut Odlewnictwa. (in Polish). [33] Babcsán, N., Leilmeier, D., Degischer, H.P., Flankl, H.J. (2003). In: J. Banhart, N.A. Fleck, A. Mortensen (Eds.) MetFoam 2003: Proceedings of the 3rd International Conference on Cellular Metals and Metal Foaming Technology (pp. 101-106). Berlin (Germany): MIT Pub.
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Authors and Affiliations

P. Popielarski
1
ORCID: ORCID
R. Sika
1
D. Czarnecka-Komorowska
1
ORCID: ORCID
P. Szymański
1
ORCID: ORCID
M. Rogalewicz
1
K. Gawdzińska
2
ORCID: ORCID

  1. Institute of Materials Technology, Poznan University of Technology Piotrowo 3, 61-138 Poznań, Poland
  2. Faculty of Marine Engineering, Maritime University of Szczecin, Willowa 2-4, 71-650 Szczecin, Poland

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