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1
Content available remote Nowe koncepcje w produkcji i wykorzystaniu profili stalowych
Cacko Robert, Czyżewski Piotr, Kochański Andrzej, Roznowski Mariusz
Stal, Metale & Nowe Technologie
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2022
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nr 5-6
28--37
PL
Ze względu na bardzo szerokie zastosowanie produkcja komponentów na bazie profili stalowych jest realizowana w wielu zakładach przemysłowych. Technologia wytwarzania profili stalowych opiera się na gięciu taśm o określonej grubości, realizowanych na specjalnie zaprojektowanych liniach produkcyjnych.
2
Content available The acoustic emission (AE) controlling method of the electric sheet blanking process : a comparative study of selected data mining methods
Kochański Andrzej, Czyżewski Piotr, Moszczyński Leszek
Computer Methods in Materials Science
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2022
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Vol. 22, No. 4
189--200
EN
The article presents an experimental stand to assess the state of punch in the process of sheet blanking. Blanking trials were carried out on an eccentric press. During all the trials, there were recorded signals of acoustic emission (AE) that accompanied the process of blanking. For the recorded AE signals, the methodology of data preparation and analysis was presented. On that basis, the results of the assessment of the state of the punch were presented, and they employed five methods of visualization: Andrews curves, Principal Components Analysis, Linear Discriminant Analysis, a modified method of Stochastic Neighbor Embedding and Sammon Mapping. The aim of the work was to assess the possibility of using visualization methods to predict the condition of the tool on the basis of acoustic emission signals in processes carried out in extremely short times.
3
Content available Soft modelling of the shaping of metal profiles in rapid tube hydroforming technology
Sadłowska Hanna, Kochański Andrzej
Computer Methods in Materials Science
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2022
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Vol. 22, No. 4
201--210
EN
The paper presents an approach to the impact of process parameters in innovative RTH (Rapid Tube Hydroforming) technology for shaping closed metal profiles in flexible and deformable dies. In order to implement the assumed deformation of the deformed profile, the RTH technology requires the monitoring and control of numerous technological parameters, including geometric, material, and technological variables. The paper proposes a two-stage research procedure considering hard modelling (constitutive) and soft modelling (data-driven). Due to the complexity of the technological process, it was required to develop a numerical finite element method FEM model focused on obtaining the adequate profile deformation measured by the ellipsoidality of the cylindrical profile. Based on the results of the numerical experiments, a preliminary soft mathematical model using ANN was developed. Analysing the soft model results, several statistical hypotheses were made and verified to investigate the significance of selected process parameters. Thanks to this, it was possible to select the most important process parameters, i.e., the properties of moulding sands used for RTH dies: the angle of internal friction and cohesion.
4
Content available Rule modeling of ADI cast iron structure for contradictory data
Soroczyński Artur, Biernacki Robert, Kochański Andrzej
Computer Methods in Materials Science
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2022
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Vol. 22, No. 4
211--228
EN
Ductile iron is a material that is very sensitive to the conditions of crystallization. Due to this fact, the data on the cast iron properties obtained in tests are significantly different and thus sets containing data from samples are contradictory, i.e. they contain inconsistent observations in which, for the same set of input data, the output values are significantly different. The aim of this work is to try to determine the possibility of building rule models in conditions of significant data uncertainty. The paper attempts to determine the impact of the presence of contradictory data in a data set on the results of process modeling with the use of rule-based methods. The study used the well-known dataset (Materials Algorithms Project Data Library, n.d.) pertaining to retained austenite volume fraction in austempered ductile cast iron. Two methods of rulebased modeling were used to model the volume of the retained austenite: the decision trees algorithm (DT) and the rough sets algorithm (RST). The paper demonstrates that the number of inconsistent observations depends on the adopted data discretization criteria. The influence of contradictory data on the generation of rules in both algorithms is considered, and the problems that can be generated by contradictory data used in rule modeling are indicated.
5
Content available Fundamentals of a recommendation system for the aluminum extrusion process based on data-driven modeling
Perzyk Marcin, Kochański Andrzej, Kozłowski Jacek
Computer Methods in Materials Science
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2022
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Vol. 22, No. 4
173--188
EN
The aluminum profile extrusion process is briefly characterized in the paper, together with the presentation of historical, automatically recorded data. The initial selection of the important, widely understood, process parameters was made using statistical methods such as correlation analysis for continuous and categorical (discrete) variables and ‘inverse’ ANOVA and Kruskal–Wallis methods. These selected process variables were used as inputs for MLP-type neural models with two main product defects as the numerical outputs with values 0 and 1. A multi-variant development program was applied for the neural networks and the best neural models were utilized for finding the characteristic influence of the process parameters on the product quality. The final result of the research is the basis of a recommendation system for the significant process parameters that uses a combination of information from previous cases and neural models.
6
Content available A Casting Mould for Rapid Tube Hydroforming Prototyping
Kochański Andrzej, Sadłowska Hanna
Journal of Casting & Materials Engineering
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2020
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Vol. 4, no. 2
29--33
EN
In recent years, hydroforming has clearly expanded its range of industrial applications due to the growing interest in products which combine high strength with low weight. A current limitation of this technology was its economically justified production volume since the costs of producing tools eliminates the possibility of using hydroforming technology in prototype and single part production. The paper presents a freshly patented solution that allows for single part hydroforming. The new technology combines traditional hydroforming machines with a new approach to tool production. The new rapid die is made quickly and cheaply. The use of materials known from the production of foundry moulds causes the die to deform during hydroforming, but it is a controlled deformation. Thanks to the use of numerical modelling, the deformation of the mould cavity is predicted and taken into account at the design stage. The article presents important issues that need to be considered in the design of this innovative process.
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