Abstract:A mathematical model has been developed for studying the diVusion kinetics of carbon during the austenitisation of a ferritic ductile iron. In modelling the diVusion process, the finite diVerence method was used and the diVusion equation was solved using the Crank-Nicolson (implicit) form. T he results obtained were compared with those from the conventional error function estimates. For short diVusion distances, that is, spheroidal graphite irons with a high nodule count, the diVusion times required to attain … Show more
“…An in-depth coverage of the interplay between these factors and the austenitization time is provided by Zimba et al [14] elsewhere. An in-depth coverage of the interplay between these factors and the austenitization time is provided by Zimba et al [14] elsewhere.…”
An understanding of the kinetics of transformation during austenitization, cooling, and austempering of ductile iron is critical to achieving the desired microstructures and ultimately mechanical properties in austempered ductile iron (ADI). To this end, dilatometry experiments have been carried out to study the austenitization and cooling behavior of an unalloyed ductile iron. When a typical austenitization temperature of 900 C is used, unlike in steels, there is an initial expansion of the specimen, which levels off as the soaking time is increased. This occurs despite the fact that the temperature remains constant. This phenomenon, hitherto unreported, highlights the subtle differences between the austenitization of ductile irons and steels. The initial expansion is attributed to the increase in austenite lattice parameter, arising from the diffusion of carbon from the graphite nodules. The levelling off signals the saturation of austenite with carbon and can ORDER REPRINTS therefore be used as an indicator of the appropriate austenitization time. Studies of the cooling behavior of unalloyed ductile iron have also shown that the dilatometer can be used as a tool for determining the minimum cooling rates, which guarantee the formation of ausferrite during austempering. When ductile iron is appropriately heat-treated based on results from dilatometry studies, the mechanical properties obtained are typically superior and consistent.
“…An in-depth coverage of the interplay between these factors and the austenitization time is provided by Zimba et al [14] elsewhere. An in-depth coverage of the interplay between these factors and the austenitization time is provided by Zimba et al [14] elsewhere.…”
An understanding of the kinetics of transformation during austenitization, cooling, and austempering of ductile iron is critical to achieving the desired microstructures and ultimately mechanical properties in austempered ductile iron (ADI). To this end, dilatometry experiments have been carried out to study the austenitization and cooling behavior of an unalloyed ductile iron. When a typical austenitization temperature of 900 C is used, unlike in steels, there is an initial expansion of the specimen, which levels off as the soaking time is increased. This occurs despite the fact that the temperature remains constant. This phenomenon, hitherto unreported, highlights the subtle differences between the austenitization of ductile irons and steels. The initial expansion is attributed to the increase in austenite lattice parameter, arising from the diffusion of carbon from the graphite nodules. The levelling off signals the saturation of austenite with carbon and can ORDER REPRINTS therefore be used as an indicator of the appropriate austenitization time. Studies of the cooling behavior of unalloyed ductile iron have also shown that the dilatometer can be used as a tool for determining the minimum cooling rates, which guarantee the formation of ausferrite during austempering. When ductile iron is appropriately heat-treated based on results from dilatometry studies, the mechanical properties obtained are typically superior and consistent.
“…-improving efficiency in solving complex problems; -finding a solution along the most likely path while avoiding less promising paths; -avoiding checking so-called "dead ends", for example, by using previously acquired information; -formulation of simple criteria for selecting directions of conduct without unequivocally defining good and bad states (Boccardo et al, 2015;Hepp et al, 2012;Zimba et al, 1999).…”
Section: Introductionmentioning
confidence: 99%
“…However, the application of optimization in the metal casting sector is significantly limited. In the case of ADI manufacturing, one can only find the results of studies from a few research centers in the literature, where authors have attempted to model changes in the microstructure of ductile iron in order to obtain ADI (Boccardo et al, 2015;Hepp et al, 2012;Zimba et al, 1999). The model developed by Zimba (Zimba et al, 1999) concerned the austenitic transformation of cast iron with a ferritic matrix.…”
Section: Introductionmentioning
confidence: 99%
“…In the case of ADI manufacturing, one can only find the results of studies from a few research centers in the literature, where authors have attempted to model changes in the microstructure of ductile iron in order to obtain ADI (Boccardo et al, 2015;Hepp et al, 2012;Zimba et al, 1999). The model developed by Zimba (Zimba et al, 1999) concerned the austenitic transformation of cast iron with a ferritic matrix. This model makes it possible to calculate changes in the carbon concentration in austenite over time, depending on the size of the so-called ferritic cells of ductile iron.…”
The paper presents the application of heuristic optimization methods in identifying the parameters of a model for bainite transformation time in ADI (Austempered Ductile Iron). Two algorithms were selected for parameter optimization -Particle Swarm Optimization and Evolutionary Optimization Algorithm. The assumption of the optimization process was to obtain the smallest normalized mean square error (objective function) between the time calculated on the basis of the identified parameters and the time derived from the experiment. As part of the research, an analysis was also made in terms of the effectiveness of selected methods, and the best optimization strategies for the problem to be solved were selected on their basis.
“…[1][2][3][4] Reports on ADI wear, including abrasive wear, 5,6) sliding wear, 7) rolling wear 8) and gear-wear, 9) reveal the common result that the high carbon austenite content will decrease through transformation into the martensite phase. This raises the hardness of the eroded-surface and reduces the fracture toughness of the material.…”
Ductile iron specimens of $3:5 mass% C and $2:8 mass% Si were austempered at 420 C for 0:5 h$24 h. These upper bainitic austempered ductile iron (ADI) specimens were 90 -eroded by Al 2 O 3 particles of $275 mm grit size under the average particle velocity of 73 mÁs À1 to understand phase transformation at the erosion surface. According to the experimental results, the retained austenite content and the carbon content of bainitic ferrite decreases through phase transformation during erosion. After erosion, the retained austenite and the high carbon content bainitic ferrite form "-carbide, another carbide and ferrite. The other austempering carbide of the remaining matrix also transforms into "-carbide in the erosion process.
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