STATISTICAL MODEL FOR SIGMA PHASE EVOLUTION WITH TEMPERATURE-TIME VARIABLES AND ITS EFFECT ON THE HARDNESS OF AISI 316L

STATISTICAL MODEL FOR SIGMA PHASE EVOLUTION WITH TEMPERATURE-TIME VARIABLES AND ITS EFFECT ON THE HARDNESS OF AISI 316L

Stainless steel is a popular option for material used in high temperature and longterm service. However, the properties of stainless steel may degrade over time due to the formation of detrimental phases, such as the sigma phase. Hence, it is important to seek the microstructural evolution model...

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Main Author: Michael Aditya, Dominico
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/66492
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:66492
spelling id-itb.:664922022-06-28T13:03:07ZSTATISTICAL MODEL FOR SIGMA PHASE EVOLUTION WITH TEMPERATURE-TIME VARIABLES AND ITS EFFECT ON THE HARDNESS OF AISI 316L Michael Aditya, Dominico Indonesia Theses grain size, hardness, sigma phase, stainless steel, statistic model INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/66492 Stainless steel is a popular option for material used in high temperature and longterm service. However, the properties of stainless steel may degrade over time due to the formation of detrimental phases, such as the sigma phase. Hence, it is important to seek the microstructural evolution model to predict its performance over time, especially mechanical properties. Here, we conducted thermal aging on AISI 316L using four temperature variations (600, 700, 800, and 900 °C) and six time-interval (1, 5, 10, 20, 50, and 100 hours), then characterized the microstructure and micro-Vickers hardness. ......... text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Stainless steel is a popular option for material used in high temperature and longterm service. However, the properties of stainless steel may degrade over time due to the formation of detrimental phases, such as the sigma phase. Hence, it is important to seek the microstructural evolution model to predict its performance over time, especially mechanical properties. Here, we conducted thermal aging on AISI 316L using four temperature variations (600, 700, 800, and 900 °C) and six time-interval (1, 5, 10, 20, 50, and 100 hours), then characterized the microstructure and micro-Vickers hardness. .........
format Theses
author Michael Aditya, Dominico
spellingShingle Michael Aditya, Dominico
STATISTICAL MODEL FOR SIGMA PHASE EVOLUTION WITH TEMPERATURE-TIME VARIABLES AND ITS EFFECT ON THE HARDNESS OF AISI 316L
author_facet Michael Aditya, Dominico
author_sort Michael Aditya, Dominico
title STATISTICAL MODEL FOR SIGMA PHASE EVOLUTION WITH TEMPERATURE-TIME VARIABLES AND ITS EFFECT ON THE HARDNESS OF AISI 316L
title_short STATISTICAL MODEL FOR SIGMA PHASE EVOLUTION WITH TEMPERATURE-TIME VARIABLES AND ITS EFFECT ON THE HARDNESS OF AISI 316L
title_full STATISTICAL MODEL FOR SIGMA PHASE EVOLUTION WITH TEMPERATURE-TIME VARIABLES AND ITS EFFECT ON THE HARDNESS OF AISI 316L
title_fullStr STATISTICAL MODEL FOR SIGMA PHASE EVOLUTION WITH TEMPERATURE-TIME VARIABLES AND ITS EFFECT ON THE HARDNESS OF AISI 316L
title_full_unstemmed STATISTICAL MODEL FOR SIGMA PHASE EVOLUTION WITH TEMPERATURE-TIME VARIABLES AND ITS EFFECT ON THE HARDNESS OF AISI 316L
title_sort statistical model for sigma phase evolution with temperature-time variables and its effect on the hardness of aisi 316l
url https://digilib.itb.ac.id/gdl/view/66492
_version_ 1822277637974786048

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