Parametric Representation of TTT Diagrams of ADI Cast Iron

The subject of the study is the improvement of the quality of moulding sand preparation. An exploration research performed on the data concerning moulding sand quality parameters was described. The aim of the research was to find relationships between various factors determining the properties of moulding sands and, based on the results obtained, build models predicting the sand moisture content with the induction of classification and regression trees. A two-match prediction approach was demonstrated and its effectiveness in evaluating the moulding sand moisture content was discussed. The knowledge in the form of rules acquired in this way can be used in the creation of knowledge bases for systems supporting decisions in the diagnostics of the moulding sand rebonding process. Formalized knowledge also facilitates further processing of the measurement data.

Section: Discussionmentioning

confidence: 99%

The Prediction of Moulding Sand Moisture Content Based on the Knowledge Acquired by Data Mining Techniques

Regulski¹,

Jakubski²,

Opaliński³

et al. 2016

“…1, No 4). The following rates of cooling were used to plot the presented CCT diagram: 6,8,10,15,20,30,40,50,60,75,90,105,120,150,180,210,240,270,300,330,360,402,450,510, 600, 900 and 1620…”

Section: The Results Of the Researchmentioning

confidence: 99%

“…1. The scheme of molybdenum influence on the curves of the beginning of austenite decomposition in cast iron [4] Research detailing time-temperature-transformation diagrams of the nodular cast iron is presented, among others, in work [10]. On the basis of TTT diagrams systems that support the production of ductile iron or other alloys are created [11].…”

Section: Introductionmentioning

confidence: 99%

Continuous Cooling Transformation (CCT) Diagrams Of Carbidic Nodular Cast Iron

Gumienny¹,

Giętka²

2015

WYKRESY CTP c ŻELIWA SFEROIDALNEGO Z WĘGLIKAMIThis work presents continuous cooling transformation diagrams for different kinds of carbidic nodular cast iron. We investigated the cast iron, chemical composition of which in nodular cast iron allows the obtainment of a metal matrix which consists of: pearlite, upper bainite and its mixture with lower bainite, ausferrite and martensite when the casts were cooled in the mold. The influence of the rate of cooling on the obtained microstructure and hardness of the casts was shown. The work describes the influence of the alloy additives on the curves of austenite decomposition in the carbidic nodular cast iron. Diagrams were plotted which enable an understanding of the kinetics of the transformations of austenite in carbidic nodular cast iron. The diagrams also indicate the possibility of obtaining pearlite, bainite, martensite and ausferrite with the established chemical composition and the wall thickness of the cast.Keywords: carbidic nodular cast iron, bainite, ausferrite, continuous cooling transformation diagrams W pracy przedstawiono wykresy CTP c różnych rodzajów żeliwa sferoidalnego z węglikami. Zbadano żeliwo o składzie chemicznym zapewniającym uzyskanie w żeliwie sferoidalnym osnowy metalowej złożonej z: perlitu, bainitu górnego oraz jego mieszaniny z dolnym, ausferrytu i martenzytu przy studzeniu odlewów w formie. Pokazano wpływ szybkości studzenia na uzyskiwaną mikrostrukturę i twardość odlewów. Opisano wpływ dodatków stopowych na krzywe rozpadu austenitu w żeliwie sferoidalnym z węglikami. Opracowane wykresy umożliwią poznanie kinetyki przemian austenitu w żeliwie sferoidalnym z węglikami oraz ocenę możliwości uzyskania perlitu, bainitu, martenzytu i ausferrytu przy zadanym składzie chemicznym oraz grubości ściany odlewu.

“…In addition to typical documents considered text documents, such as articles, notes, books (ebooks), this group can also include Web pages, forms, and tables [15][16][17]. The exploratory analysis of text documents, known also as text mining, is a set of concepts, methods and, implemented in the form of software, algorithms for processing the text resources, leading to automation of processes related to documents prepared in natural languages.…”

Section: Investigation Methodsmentioning

confidence: 99%

Formalization of Technological Knowledge in the Field of Metallurgy using Document Classification Tools Supported with Semantic Techniques

Regulski

2017

The process of knowledge formalization is an essential part of decision support systems development. Creating a technological knowledge base in the field of metallurgy encountered problems in acquisition and codifying reusable computer artifacts based on text documents. The aim of the work was to adapt the algorithms for classification of documents and to develop a method of semantic integration of a created repository. Author used artificial intelligence tools: latent semantic indexing, rough sets, association rules learning and ontologies as a tool for integration. The developed methodology allowed for the creation of semantic knowledge base on the basis of documents in natural language in the field of metallurgy.