Fractal analysis for forecasting chemical composition of cast iron

2017 ◽  
Author(s):  
O Gusev ◽  
V Kornienko ◽  
O Gerasina ◽  
O Aleksieiev
Keyword(s):  
Cast Iron ◽  
Chemical Composition ◽  
Fractal Analysis

scholarly journals Effect of Nickel Equivalent on Austenite Transition Ratio in Ni-Mn-Cu Cast Iron

2013 ◽  
Vol 13 (2) ◽  
pp. 53-58 ◽  
Author(s):  
A. Janus ◽  
A. Kurzawa
Keyword(s):  
Cast Iron ◽  
Chemical Composition ◽  
Chemical Analysis ◽  
Wall Thickness ◽  
Brinell Hardness ◽  
Austenite Decomposition ◽  
Structural Components ◽  
Microscopy Image ◽  
Image Analyser ◽  
Nickel Equivalent

Abstract Determined was quantitative effect of nickel equivalent value on austenite decomposition degree during cooling-down castings of Ni-Mn- Cu cast iron. Chemical composition of the alloy was 1.8 to 5.0 % C, 1.3 to 3.0 % Si, 3.1 to 7.7 % Ni, 0.4 to 6.3 % Mn, 0.1 to 4.9 % Cu, 0.14 to 0.16 % P and 0.03 to 0.04 % S. Analysed were castings with representative wall thickness 10, 15 and 20 mm. Scope of the examination comprised chemical analysis (including WDS), microscopic observations (optical and scanning microscopy, image analyser), as well as Brinell hardness and HV microhardness measurements of structural components.

scholarly journals Computer Catalog and Semantic Search of Data in the Domain of Cast Iron Processing

2017 ◽  
Vol 17 (2) ◽  
pp. 79-84 ◽  
Author(s):  
G. Rojek ◽  
K. Regulski ◽  
D. Wilk-Kołodziejczyk ◽  
S. Kluska-Nawarecka ◽  
T. Wawrzaszek
Keyword(s):  
Cast Iron ◽  
Chemical Composition ◽  
Knowledge Representation ◽  
System Architecture ◽  
Data Retrieval ◽  
Semantic Search ◽  
Semantic Meaning ◽  
Formal Knowledge ◽  
User Attention ◽  
Processing Techniques

Abstract The aim of this study is to design and implement a computer system, which will allow the semantic cataloging and data retrieval in the field of cast iron processing. The intention is to let the system architecture allow for consideration of data on various processing techniques based on the information available or searched by a potential user. This is achieved by separating the system code from the knowledge of the processing operations or from the chemical composition of the material being processed. This is made possible by the creation and subsequent use of formal knowledge representation in the form of ontology. So, any use of the system is associated with the use of ontologies, either as an aid for the cataloging of new data, or as an indication of restrictions imposed on the data which draw user attention. The use of formal knowledge representation also allows consideration of semantic meaning, a consequence of which may be, for example, returning all elements in subclasses of the searched process class or material grade.

Influence of chemical composition and microstructure of gray cast iron on wear of heavy duty diesel engines cylinder liners

Wear ◽  
2007 ◽  
Vol 263 (7-12) ◽  
pp. 1158-1164 ◽  
Author(s):  
J. Keller ◽  
V. Fridrici ◽  
Ph. Kapsa ◽  
S. Vidaller ◽  
J.F. Huard
Keyword(s):  
Cast Iron ◽  
Chemical Composition ◽  
Diesel Engines ◽  
Gray Cast Iron ◽  
Gray Cast ◽  
Heavy Duty ◽  
Heavy Duty Diesel ◽  
Cylinder Liners

Effect of the chemical composition of cast iron on the durability of molds

Metallurgist ◽  
1977 ◽  
Vol 21 (6) ◽  
pp. 386-387
Author(s):  
M. D. Demkina ◽  
N. E. Pakhomova ◽  
G. N. Reznichenko
Keyword(s):  
Cast Iron ◽  
Chemical Composition

scholarly journals Corrosion survey of the palm greenhouse support structure in the castle garden in Lány

2019 ◽  
Vol 63 (1) ◽  
pp. 54-64
Author(s):  
P. Pokorný ◽  
M. Hrabánek ◽  
D. Dvorský ◽  
L. Turek
Keyword(s):  
Corrosion Resistance ◽  
Cast Iron ◽  
Chemical Composition ◽  
Point Of View ◽  
Coating System ◽  
Current State ◽  
Steel Cast ◽  
Metal Materials ◽  
Static Point ◽  
Applied Coating

Abstract The corrosion survey of the supporting steel/cast iron structure of the palm greenhouse included not only the characteristics of the used metal materials (microstructure, chemical composition), but also the current state of the system of corrosion protection (thickness and stratigraphy of the applied coating system). From a static point of view, the palm greenhouse design meets the applicable standards if two damaged cast iron columns are repaired. A new top coat with extended corrosion resistance is required on the surface of individual metal profiles.

scholarly journals Optimization of chemical composition in the manufacturing process of flotation balls based on intelligent soft sensing

2016 ◽  
Vol 70 (6) ◽  
pp. 603-612 ◽  
Author(s):  
Nedeljko Ducic ◽  
Zarko Cojbasic ◽  
Radomir Slavkovic ◽  
Branka Jordovic ◽  
Jelena Purenovic
Keyword(s):  
Neural Network ◽  
Cast Iron ◽  
Chemical Composition ◽  
White Cast Iron ◽  
Soft Sensor ◽  
Sensor Data ◽  
Production Processes ◽  
Artificial Neural Network Ann ◽  
Genetic Combination ◽  
Minimum Wear

This paper presents an application of computational intelligence in modeling and optimization of parameters of two related production processes - ore flotation and production of balls for ore flotation. It is proposed that desired chemical composition of flotation balls (Mn=0.69%; Cr=2.247%; C=3.79%; Si=0.5%), which ensures minimum wear rate (0.47 g/kg) during copper milling is determined by combining artificial neural network (ANN) and genetic algorithm (GA). Based on the results provided by neuro-genetic combination, a second neural network was derived as an ?intelligent soft sensor? in the process of white cast iron production. The proposed ANN 12-16-12-4 model demonstrated favourable prediction capacity, and can be recommended as a ?intelligent soft sensor? in the alloying process intended for obtaining favourable chemical composition of white cast iron for production of flotation balls. In the development of intelligent soft sensor data from the two real production processes was used.

scholarly journals Researches on the Diffusion Phenomena in the Thermo-Chemical Treatment of Oxy-nitrocarburizing of Some Grey Cast Irons

2019 ◽  
Vol 69 (12) ◽  
pp. 3367-3371 ◽  
Author(s):  
Gina Mihaela Sicoe
Keyword(s):  
Cast Iron ◽  
Chemical Composition ◽  
Chemical Treatment ◽  
White Layer ◽  
Carbon Equivalent ◽  
Chemical Compositions ◽  
Nitrogen Diffusion ◽  
Cast Irons ◽  
Diffusion Phenomena ◽  
Grey Cast

The thermo-chemical treatment of oxy-nitrocarburizing consists in the enrichment of materials in C, N and O in order to improve the physico-mechanical properties and the use of the materials. This leads to the increase in exploitation life, the increase of wear resistance, galling, corrosion, and slight erosion. The research presented in this article followed the study of the application of this treatment and the results obtained on pearlitic grey cast iron with different chemical compositions, domain in which there are few experimental results published. The results obtained on a number of 10 samples, presented in the article, highlighted the good compatibility of these materials with the thermo-chemical treatment of oxy-nitrocarburizing, obtaining on the surface some white layers which give good anti-corrosive properties, similar to those obtained on steel. There was no correlation between the depth of the white layer and the chemical composition of the studied cast iron. It was also emphasized that the depth of nitrogen diffusion is influenced by the chemical composition of the studied materials which is directly proportional to carbon equivalent (Ceq) of cast iron.

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