ADI after Austenitising from Intercritical Temperature

Kluska-Nawarecka, S.; Regulski, K.; Kowalska, Agnieszka

doi:10.2478/afe-2013-0016

Cited by 4 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The presence of similarly shaped ferrite grains was reported by Kowalski and coworkers [22]. According to these authors [22] this ferrite is pre-eutectoid ferrite generated during austenitization inA 1,1 -A 1, 2 temperature range, where austenite, ferrite and carbon are in equilibrium. This is due to the increased concentration of silicon near the graphite.…”

Section: 1metallographysupporting

confidence: 54%

Austenitization of FerriticDuctile Iron

Krzyńska¹,

Kochański²

2014

Archives of Foundry Engineering

View full text Add to dashboard Cite

Austenitization is the first step of heat treatment preceding the isothermal quenching of ductile iron in austempered ductile iron (ADI) manufacturing. Usually, the starting material for the ADI production is ductile iron with more convenient pearlitic matrix. In this paper we present the results of research concerning the austenitizing of ductile iron with ferritic matrix, where all carbon dissolved in austenite must come from graphite nodules. The scope of research includedcarrying out the process of austenitization at 900° Cusing a variable times ranging from 5 to 240minutes,and then observations of the microstructure of the samples after different austenitizing times. These were supplemented with micro-hardness testing. The research showed that the process of saturating austenite with carbon is limited by the rate of dissolution of carbon from nodular graphite precipitates

show abstract

Section: 1metallographysupporting

confidence: 54%

Austenitization of FerriticDuctile Iron

Krzyńska¹,

Kochański²

2014

Archives of Foundry Engineering

View full text Add to dashboard Cite

show abstract

“…The main objective of this study is to develop a computer system that would support the technologist in his decision on the choice of ADI and its possible variations ( [1], [2], [3]) in all those cases where this cast iron is expected to offer certain functional properties (e.g. tensile strength Rm, yield strength Rp0.2).…”

Section: Introductionmentioning

confidence: 99%

Application of ALSV(FD) logic and XTT knowledge representation in the range of ADI properties

Regulski

Wilk-Kołodziejczyk²,

Rojek

et al. 2016

Archives of Foundry Engineering

Self Cite

View full text Add to dashboard Cite

The objective of studies presented in this publication was structuring of research knowledge about the ADI functional properties and changes in these properties due to material treatment. The results obtained were an outcome of research on the selection of a format of knowledge representation that would be useful in further work aiming at the design, application and implementation of an effective system supporting the decisions of a technologist concerning the choice of a suitable material (ADI in this case) and appropriate treatment process (if necessary). ALSV(FD) logic allows easy modelling of knowledge, which should let addressees of the target system carry out knowledge modelling by themselves. The expressiveness of ALSV (FD) logic allows recording the values of attributes from the scope of the modelled domain regarding ADI, which is undoubtedly an advantage in the context of further use of the logic. Yet, although the logic by itself does not allow creating the rules of knowledge, it may form a basis for the XTT format that is rule-based notation. The difficulty in the use of XTT format for knowledge modelling is acceptable, but formalism is not suitable for the discovery of rules, and therefore the knowledge of technologist is required to determine the impact of process parameters on values that are functional properties of ADI. The characteristics of ALSV(FD) logic and XTT formalism, described in this article, cover the most important aspects of a broadly discussed, full evaluation of the applicability of these solutions in the construction of a system supporting the decisions of a technologist. Keywords:Computer-aided foundry production, Application of information technologies in the field of foundry, ADI, the ALSV (FD) logic of attributes, Rule-based XTT format

show abstract

Artificial Neural Networks for Producing a Low-Cost Austempered Ductile Iron

et al. 2022

View full text Add to dashboard Cite

Two artificial neural networks (ANNs) were developed for producing an austempered ductile iron (ADI) with low-cost chemical composition and mechanical properties as per ASTMA897/897M-16grade-1050/750/07 standard. Thus, the first ANN predicted the chemical composition range within the lowest cost and required mechanical properties. Next, in the second ANN, the resulting values from the first ANN were refined considering the target chemical composition suggested in the standard. Moreover, mechanical properties and microstructural analyses were undertaken in the ADI produced to support the ANNs' findings. Hence, ANNs can be used to make a standard-compliant ADI and achieve cost savings.

show abstract

ADI after Austenitising from Intercritical Temperature

Cited by 4 publications

References 4 publications

Austenitization of FerriticDuctile Iron

Austenitization of FerriticDuctile Iron

Application of ALSV(FD) logic and XTT knowledge representation in the range of ADI properties

Artificial Neural Networks for Producing a Low-Cost Austempered Ductile Iron

Contact Info

Product

Resources

About