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1
Content available Prediction of Selected Mechanical Properties in Austempered Ductile Iron with Different Wall Thickness by the Decision Support Systems
Jaśkowiec Krzysztof, Opaliński Andrzej, Kustra Piotr, Jach D., Wilk-Kołodziejczyk Dorota
Archives of Foundry Engineering
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2023
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Vol. 23, iss. 2
137--144
EN
The structure of Austempered Ductile Iron (ADI) is depend of many factors at individual stages of casting production. There is a rich literature documenting research on the relationship between heat treatment and the resulting microstructure of cast alloy. A significant amount of research is conducted towards the use of IT tools for indications production parameters for thin-walled castings, allowing for the selection of selected process parameters in order to obtain the expected properties. At the same time, the selection of these parameters should make it possible to obtain as few defects as possible. The input parameters of the solver is chemical composition Determined by the previous system module. Target wall thickness and HB of the product determined by the user. The method used to implement the solver is the method of Particle Swarm Optimization (PSO). The developed IT tool was used to determine the parameters of heat treatment, which will ensure obtaining the expected value for hardness. In the first stage, the ADI cast iron heat treatment parameters proposed by the expert were used, in the next part of the experiment, the settings proposed by the system were used. Used of the proposed IT tool, it was possible to reduce the number of deficiencies by 3%. The use of the solver in the case of castings with a wall thickness of 25 mm and 41 mm allowed to indication of process parameters allowing to obtain minimum mechanical properties in accordance with the PN-EN 1564:2012 standard. The results obtained by the solver for the selected parameters were verified. The indicated parameters were used to conduct experimental research. The tests obtained as a result of the physical experiment are convergent with the data from the solver.
2
Content available remote Selection of casting production parameters with the use of machine learning and data supplementation methods in order to obtain products with the assumed parameters
Wilk-Kołodziejczyk Dorota, Pirowski Zenon, Bitka Adam, Wróbel Kamil, Śnieżyński Bartłomiej, Doroszewski Maciej, Jaśkowiec Krzysztof, Małysza Marcin
Archives of Civil and Mechanical Engineering
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2023
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Vol. 23, no. 2
art. no. e73, 2023
EN
The main purpose of the research, presented in this publication, was to develop methodology for the construction of predictive models which allow the selection of material production parameters for the material-technological conversion process. The development of prototype modules based on information-decision system allows an initial assessment of the level of feasibility of undertaking this type of operation. Algorithms 1, 2, 3 presented in the article were used to complete the missing data. The result of the algorithm enabled the creation of a data table that specifies the operation of the predictive models indicated in chapter 3 of this article. Entire work is presented with regard to the background of the ADI cast iron production process to locate the requirement where to apply the developed methods in the field of predictive algorithms and data completion algorithms. On the basis of developed methods and predictive algorithms, trial castings were operated.
3
Cyfrowy bliźniak
Wilk-Kołodziejczyk Dorota, Jaśkowiec Krzysztof
Przegląd Odlewnictwa
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2022
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Vol. 72, nr 11-12
586--594
PL
Definicja cyfrowego bliźniaka (ang. digital twin DT) odnosi się do cyfrowej repliki fizycznych obiektów, procesów i systemów. Jest to połączenie fizycznego obiektu oraz jego cyfrowego odwzorowania w sposób jak najbardziej kompleksowy i wierny. Do stworzenia takiego narzędzia potrzebne są nie tylko dane techniczne zawarte w specyfikacji, ale również złożone modele zachowań, które pozwalają na wykonanie symulacji i przewidywania wyników wykonania procesów. W artykule przedstawiono przykłady rozwiązań które mogą być podstawą do tego aby taki cyfrowy bliźniak stworzyć. Szczególnie drugi z przykładów jest cenny, ponieważ jest to przykład wdrożonego rozwiązania, którego kontynuacja może doprowadzić do opracowania takiego bliźniaka.
EN
The definition of digital twin (DT) is related to digital replicas of physical objects, processes and systems. This is the connection of the physical object and its digital reproduction in the most systematic and credible way. In order to create such tool not only the technical data, contained in the specification, are needed but also complex behavior models allowing to perform simulations and to expect the results of the performed processes are necessary. Some examples of solutions, which can be the bases of creating such digital twin, are presented in the paper. The second example is especially valuable, since this is the example of the already implemented solution the continuation of which can lead to the development of such twin.
4
Content available Computer modelling of the ablation casting process and prediction of the strength properties of AC-42000 castings
Małysza Marcin, Puzio Sabina, Major-Gabryś Katarzyna, Głowacki Mirosław, Wilk-Kołodziejczyk Dorota, Kamińska Jadwiga
Computer Methods in Materials Science
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2022
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Vol. 22, No. 2
79--88
EN
The demand for castings with superior properties has compelled the development and optimization of manufacturing technologies. By further developing already known techniques, we are able to contribute to the introduction of new research possibilities. The article presents the methodology of conducting simulation tests of the gravity casting process into sand moulds with the use of ablation. The ablation technique consists in spraying water through evenly spaced nozzles onto a mould into which the liquid casting alloy has been poured. The conducted research focuses on an alloy from the group of Al-Si alloys. In order to compare the effects of different techniques, additional tests were carried out for gravity casting into sand and metal die moulds. At the same time, virtual experiments were conducted to develop a simulation methodology for ablation casting technology, taking into account mould degradation. Additionally, the possibility of predicting the final mechanical properties of various manufacturing technologies was tested. Destructive tests were carried out to determine the mechanical properties in the cast samples, as well as microstructure tests and secondary dendrite spacing. The results of the mechanical tests are compared with the predicted simulation properties.
5
Content available Selection of Casting Materials for Working Parts of Machines for the Forestry Sector
Pirowski Zenon, Bitka Adam, Grudzień-Rakoczy Małgorzata, Małysza Marcin, Pysz Stanisław, Wieliczko Piotr, Wilk-Kołodziejczyk Dorota
Archives of Metallurgy and Materials
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2022
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Vol. 67, iss. 2
743--752
EN
The article was created as a result of the work TECHMATSTRATEG 1 program “Modern Material Technologies” as part of the project with the acronym INNOBIOLAS entitled “Development of innovative working elements of machines in the forestry sector and biomass processing based on high-energy surface modification technologies of the surface layer of cast elements”; agreement No. TECHMATSTRATEG1/348072/2/NCBR/2017. The article discusses the procedure for selecting casting materials that can meet the high operational requirements of working tools of mulching machines: transfer of high static and dynamic loads, resistance to tribological wear, corrosion resistance in various environments. The mulching process was briefly described, then the alloys were selected for experimental tests, model alloys were made and perform material tests were carried out in terms of functional and technological properties. The obtained results allowed to select the alloy where the test castings were made.
6
Content available Developing a Methodology for Building the Knowledge Base and Application Procedures Supporting the Process of Material and Technological Conversion
Wilk-Kołodziejczyk Dorota, Jaśkowiec Krzysztof, Bitka Adam, Pirowski Zenon, Grudzień-Rakoczy Małgorzata, Chrzan Konrad, Małysza Marcin, Doroszewski Maciej
Archives of Metallurgy and Materials
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2022
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Vol. 67, iss. 3
1085--1091
EN
The article presents the developed IT solutions supporting the material and technological conversion process in terms of the possibility of using the casting technology of selected alloys to produce products previously manufactured with the use of other methods and materials. The solutions are based on artificial intelligence, machine learning and statistical methods. The prototype module of the information and decision-making system allows for a preliminary assessment of the feasibility of this type of procedure. Currently, the selection of the method of manufacturing a product is based on the knowledge and experience of the technologist and constructor. In the described approach, this process is supported by the proprietary module of the information and decision-making system, which, based on the accumulated knowledge, allows for an initial assessment of the feasibility of a selected element in a given technology. It allows taking into account a large number of intuitive factors, as well as recording expert knowledge with the use of formal languages. Additionally, the possibility of searching for and collecting data on innovative solutions, supplying the knowledge base, should be taken into account. The developed and applied models should allow for the effective use and representation of knowledge expressed in linguistic form. In this solution, it is important to use methods that support the selection of parameters for the production of casting. The type, number and characteristics of data have an impact on the effectiveness of solutions in terms of classification and prediction of data and the relationships detected.
7
Content available Information and Decision System Supporting the Production of ADI Cast Iron Products
Opaliński Andrzej, Wilk-Kołodziejczyk Dorota
Archives of Metallurgy and Materials
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2021
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Vol. 66, iss. 2
651--657
EN
The presented article concerns the issue of supporting the ADI cast iron product manufacturing process and presents an IT system dedicated mainly to designers and technologists. Designers can be supported at the stage of selecting types of materials and technologies (including ADI cast iron) to produce products with required properties. Technologists can obtain support in determining the parameters (temperature and chemical) of the ADI cast iron manufacturing process in order to obtain products with specific properties. The system also contains an information resources (standards, documentation, examples) concerning ADI cast iron and products made of it. Examples of use by individual system users are presented as a case study.
8
Wspieranie procesu wytwarzania elementów metalowych poprzez zastosowanie metod opartych o sztuczną inteligencję
Wilk-Kołodziejczyk Dorota
Przegląd Odlewnictwa
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2019
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Vol. 69, nr 5-6
122--127
PL
Celem prezentowanego cyklu badań było wypracowanie metod i rozwiązań służących do wspomagania procesów decyzyjnych w odlewnictwie i inżynierii materiałowej. W szczególności chodziło o dobór metod przetwarzania danych, formalizmów reprezentacji wiedzy oraz stworzenie algorytmów decyzyjnych, opartych na współczesnych osiągnięciach sztucznej inteligencji, dostosowanych do specyfiki przemysłu odlewniczego i metalurgicznego. Obok rezultatów o charakterze poznawczym, zamierzonym efektem prowadzonych prac była realizacja rozwiązań informatycznych w postaci prototypowych systemów (lub modułów) dedykowanych dla odpowiedniej klasy problemów decyzyjnych.
EN
The aim of this research programme was to develop a series of methods and solutions to support the decision-making process in foundry and materials engineering. The specific problems discussed included the selection of methods for data processing and knowledge representation formalisms, backed up by the creation of decision algorithms based on contemporary achievements of artificial intelligence, tailored to the needs of foundry industry and metallurgy. In addition to the results of a cognitive nature, the intended outcome of the work was the implementation of IT solutions in the form of prototype systems (or modules) dedicated to the appropriate class of decision problems.
9
Content available remote Multistage discretization and clustering in multivariable classification of the impact of alloying elements on properties of hypoeutectic silumin
Regulski Krzysztof, Wilk-Kołodziejczyk Dorota, Kluska-Nawarecka Stanisława, Szymczak Tomasz, Gumienny Grzegorz, Jaśkowiec Krzysztof
Archives of Civil and Mechanical Engineering
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2019
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Vol. 19, no. 1
114--126
EN
The properties of hypoeutectic Al–Si alloy (silumin) with the addition of elements such as Cr, Mo, V and W are described. Changes in silumin microstructure under the impact of these elements result in a change of the mechanical properties. The research includes presentation of procedure for the acquisition of knowledge about these changes directly from experimental results using mixed data mining techniques. The procedure for analyzing small sets of experimental data for multistage, multivariate and multivariable models has been developed. Its use can greatly simplify such research in the future. An interesting achievement is the development of a voting procedure based on the results of classification trees and cluster analysis.
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