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Sahm, Alexander; Abele, Eberhard; Schulz, Herbert

doi:10.1002/1521-4052(200209)33:9<501::aid-mawe501>3.0.co;2-w

Cited by 13 publications

(2 citation statements)

References 3 publications

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“…Part of the explanation for the poor machinability of CGI is the absence of MnS that acts as a lubricant for cutting tools in LGI. 48 Moreover, it is claimed that CGI is slightly more prone to eutectic carbides than both SGI and LGI, which would be detrimental to machinability. 35 The excellent castability of cast iron is important when producing complicated castings such as an engine block.…”

Section: Microstructure Effects On Propertiesmentioning

confidence: 99%

Literature review of microstructure formation in compacted graphite Iron

König

2010

International Journal of Cast Metals Research

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The literature concerning microstructure formation in compacted graphite iron is reviewed. Compacted graphite iron has an intermediate graphite morphology between lamellar graphite iron and spheroidal graphite iron. The formation of compacted graphite morphology is controlled by small changes in alloy composition. Several important factors influencing the formation of the as solidified microstructure, as well as the microstructure formation during the eutectoid transformation are also reviewed. The focus of this review is to compare mechanisms in which compacted graphite iron differs from lamellar graphite iron and spheroidal graphite iron. The effects of microstructure on some properties that are relevant in commercial applications are included in the study. Additionally the relatively few models for microstructure formation are also summarised.

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Section: Microstructure Effects On Propertiesmentioning

confidence: 99%

Literature review of microstructure formation in compacted graphite Iron

König

2010

International Journal of Cast Metals Research

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“…The difference in tool life of gray cast iron and CGI generally depends on the mechanical properties of the workpiece material. According to many investigations, shorter tool life is expected when machining CGI compared to gray iron [7], [8]. Schmitt and Schulz carried out some turning and milling test.…”

Section: Introductionmentioning

confidence: 99%

Influence of Lead Angle Variation on the Coated Carbide Inserts Wear when Milling CGI and Modeling by Artificial Neural Networks and Regression Analysis Method

Karabulut

Güllü

2015

SSP

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The aim of this research is to investigate the influence of lead angle, cutting speed and the maximum chip thickness on tool wear in face milling process of compacted graphite iron. Tool failure modes and wear mechanisms for all cutting tools were examined in respect of various cutting parameters and were evaluated on the base of the flank wear. SEM analyses of the cutting inserts were performed and experimental results have been modelled with artificial neural networks (ANN) and regression analysis. A comparison of ANN model with regression model is also carried out. Predictive ANN model is found to be capable of better predictions for flank wear within the range used in network training. The R2 values for testing data were calculated as 0.992 for ANN and 0.998 for regression analysis, respectively. This study is considered to be helpful in predicting the wear mechanism of the coated carbide insert in the machining of compacted graphite iron.

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