Wyniki wyszukiwania - BazTech

1

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

|

2023

|

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.

2

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

|

2022

|

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.

3

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

|

2022

|

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.

4

Właściwości termofizyczne staliwa 30MCDB64-M oraz 30NSCDV86-M w stanie odlewanym

Homa Marta, Pirowski Zenon, Turalska Patrycja, Bitka Adam, Jaśkowiec Krzysztof

Journal of Applied Materials Engineering

|

2019

|

Vol. 59, no. 2

71--79

PL

W pracy przedstawiono wyniki kompleksowych badań właściwości termofizycznych staliwa 30MCDB64-M oraz 30NSCDV86-M w stanie odlewanym, w tym przewodnictwo temperaturowe, przewodność cieplną, ciepło właściwe, rozszerzalność cieplną oraz zmianę gęstości w funkcji temperatury. Pomiary przewodnictwa temperaturowego wykonano za pomocą Laserowej Analizy Impulsowej (LFA) w zakresie temperatury 25−1000°C. Badania kalorymetryczne w temperaturze od 25°C do 1300°C przeprowadzono metodą skaningowej kalorymetrii różnicowej (DSC), podczas gdy zmiany rozszerzalności cieplnej, współczynnika rozszerzalności cieplnej oraz pomiar zmiany gęstości w funkcji temperatury wyznaczono metodą dylatometryczną (DIL) w zakresie temperatury od 25°C do 900°C. Zmianę przewodności cieplnej w funkcji temperatury wyznaczono za pomocą algorytmów matematycznych oprogramowania Netzsch LFA Analysis 4.8.5.

EN

This paper presents the results of complex investigations into the thermophysical properties of 30MCDB64-M and 30NSCDV86-M cast steel, including temperature conductivity, thermal conductivity, specific heat, thermal expansion and the change of density in the function of temperature. Measurements of temperature conductivity were performed using Laser Flash Analysis (LFA) in the temperature range 25−1000°C. Calorimetric investigations at temperatures from 25°C to 1300°C were performed by Differential Scanning Calorimetry (DSC), while changes in thermal expansion, thermal expansion coefficient and the measurement of density change in the temperature function were determined by the dilatometric method (DIL) in the temperature range from 25°C to 900°C. Changes in thermal conductivity in the temperature function were determined using mathematical algorithms of the Netzsch LFA Analysis 4.8.5 software.

5

Rezystywność staliwa aluminiowego

Jaśkowiec Krzysztof, Bacior Magdalena, Grudzień-Rakoczy Małgorzata, Pirowski Zenon, Bitka Adam

Journal of Applied Materials Engineering

|

2019

|

Vol. 59, no. 3

113--126

PL

W pracy przedstawiono wyniki badań dwóch gatun-ków staliwa (oznaczonych dalej jako Stop 1 oraz Stop 2). Stop 1 zawiera między innymi: 0,25% C, 11,5% Al, 5,85% Cr, 1,97% Mo. W przypadku Stopu 2 zawartość węgla wynosiła 0,035%, natomiast aluminium 13,5%, pierwiastki takie, jak: Cr, Ni, Sb, B, nie przekroczyły 1% udziału w składzie chemicznym tego stopu. Badania rezystywności Stopu 1 przeprowadzono podczas badania odporności na zmęczenie cieplne, natomiast Stop 2 badano na przygotowanym stanowisku, realizując pomiar rezystancji metodą czteropunktową.Dla Stopu 1 przeprowadzono pomiary rezystancji w funkcji czasu, wydłużenia oraz temperatury. Dla porównania przedstawiono wyniki badań innych stopów badanych na tym stanowisku w ramach realizacji innych prac B+R.Korzystając z materiału uzyskanego podczas badania lejności Stopu 2, określono wpływ warunków krzepnięcia na rezystywność. Przedstawiono wyniki badań kalorymetrycznych tego stopu, określając temperaturę przemian fazowych dla różnych warunków krzepnięcia Stopu 2.

EN

The paper presents the results of investigations of two cast steel grades (further referred to as Alloy 1 and Al-loy 2). Alloy 1 contains, among others, 0.25% C, 11.5% Al, 5.85% Cr, 1.97% Mo, in Alloy 2 was obtained 0.035% C, 13.5% Al, elements such as Cr, Ni , Sb, B, did not exceed 1% share in the chemical composition of this alloy. Resistivity tests of Alloy 1 were carried out during the test of resistance to thermal fatigue, while Alloy 2 was tested on a prepared test stand and the resistance was measured using a four-point method.For Alloy 1, the resistance was measured as a function of time, elongation and temperature. For comparison, the results of tests of other alloys conducted on this stand within the framework of other R&D works are presented.Using the material obtained during the test for castability of Alloy 2, the influence of solidification conditions on resistivity was determined. The results of calorimetric tests of this alloy are presented, determining the phase transition temperature for various solidification conditions of Alloy 2.