Preparing Hardness Prediction Data Using Carburized Jominy Bar for Carburizing Quenching

Preparing data for analysis using microsoft Excel.

A critical component essential to good research is the accurate and efficient collection and preparation of data for analysis. Most medical researchers have little or no training in data management, often causing not only excessive time spent cleaning data but also a risk that the data set contains collection or recording errors. The implementation of simple guidelines based on techniques used ...

Weighted Radial Basis Functions Networks Applied to Model Jominy Hardness Pro les of Steels

In this work several attemps are proposed for extracting the Jominy hardness pro les of steel directly from the steel chemical composition. It is essentially a black{box modelling problem: the neural approach seems powerful, especially compared with classical models commonly found in literature. Several network structures have been implemented, which all can be viewed under the uni cation parad...

On the Changes of Residual Stresses Resulted from Carburizing and Quenching due to Aging and Repeated Stressing

Residual stresses resulted from carburizing and quenching were measured dy the etching method, using plate specimens of two kinds of steels. The microstructure after quenching is likely to include retained austenite due to high carbon content of the carburized layer, which may decompose into martensite in time at room temperature. To investigate the effect of aging on the distribution of residu...

Comparison of Hardness and Wear Behaviour of Boronized and Carburized AISI 8620 Steels

In this study, the hardness and wear behaviour of carburized and boronized AISI 8620 steels have been studied. The boronizing treatment increased the hardness of AISI 8620 steels from 395 HV0.1 to a maximal 1610 HV0.1 compared to the carburized steels and also significantly improved its wear behaviour. From obtained results, it can be concluded that boronizing is very effective surface hardenin...

Quenching Time for a Nonlocal Diffusion Problem with Large Initial Data