نتایج جستجو برای: steel metallurgy

تعداد نتایج: 84135  

2010
Stefan Krebs

The ways in which the sciences have been delineated and categorized throughout history provide insights into the formation, stabilization, and establishment of scientific systems of knowledge. The Dresdener school’s approach for explaining and categorizing the genesis of the engineering disciplines is still valid, but needs to be complemented by further-reaching methodological and theoretical r...

Journal: :Bhm Berg- Und Hüttenmännische Monatshefte 2021

Abstract During the last decade, chair for ‘Simulation and Modelling of Metallurgical Processes’ (SMMP) has worked on different metallurgical processes with highlights following five industrial relevant topics: (i) modelling as-cast structures large steel castings; (ii) exploring formation mechanisms macrosegregation; (iii) describing magnetohydrodynamic electrochemical phenomena in remelting p...

Journal: :Transactions of the Faraday Society 1919

Journal: :Journal of Minerals and Materials Characterization and Engineering 2018

2012
Goutam Dutta Dipankar Bose

The residual porosity is an unavoidable phenomenon of the components produced by powder metallurgy process which in turn largely affects the strength property of the same. Now a day it is possible to control porosity of powder metallurgy components and retain them to desired amount when required. The porosity of a powder metallurgy component is greatly depends on the sintering temperature. In t...

Journal: :مهندسی متالورژی و مواد 0
حمید خرسند حسن عبدوس مصطفی امیرجان

in the present study, the mechanical properties and fracture mechanisms of two powder metallurgy low alloy steels, i.e. distaloy dh and distaloy hp, were investigated. all samples were sintered at 1120 ºc for 30 min in n2/h2 atmosphere. for evaluation of the effect of cooling rate on final properties, samples were cooled from sintering temperature with two different cooling rates. in addition, ...

Journal: :Expert Syst. Appl. 2009
Xianlun Tang Ling Zhuang Changjiang Jiang

The prediction of silicon content in hot metal has been a major study subject as one of the most important means for the monitoring state in ferrous metallurgy industry. A prediction model of silicon content is established based on the support vector regression (SVR) whose optimal parameters are selected by chaos particle swarm optimization. The data of the model are collected from No. 3 BF in ...

2005
Sridhar Seetharaman Rohit Trivedi

As new experimental and characterization techniques are developed and improved, longstanding materials questions that have long been the subject of scientific debate are being revisited and answered. Such questions have surrounded the mechanism of solid-state phase transformation in ferrous systems for many years. Famous experimental and theoretical works produced such well-known metallurgists ...

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