scholarly journals Continuous Cooling Curve Diagrams of Isotactic-Polypropylene/Polyethylene Blends: Mutual Nucleating Effects under Fast Cooling Conditions

2021 ◽  
Author(s):  
Enrico Carmeli ◽  
Gottfried Kandioller ◽  
Markus Gahleitner ◽  
Alejandro J. Müller ◽  
Davide Tranchida ◽  
...  
Keyword(s):  
Isotactic Polypropylene ◽  
Cooling Curve ◽  
Continuous Cooling ◽  
Polyethylene Blends ◽  
Cooling Conditions ◽  
Fast Cooling

Ferritic Microstructures

2015 ◽  
pp. 113-131
Keyword(s):  
Carbon Atom ◽  
Cooling Rate ◽  
Classification System ◽  
Acicular Ferrite ◽  
Carbon Steels ◽  
Atom Diffusion ◽  
Continuous Cooling ◽  
Cooling Conditions ◽  
Induced Changes

This chapter describes the ferritic microstructures that form in carbon steels under continuous cooling conditions. It begins with a review of the Dubé classification system for crystal morphologies. It then explains how cooling-rate-induced changes involving carbon atom diffusion and the associated rearrangement of iron atoms produce the wide variety of morphologies and microstructures observed in ferrite. The chapter also describes a classification system developed specifically for ferritic microstructures and uses it to compare common forms of ferrite, including polygonal or equiaxed ferrite, Widmanstatten ferrite, quasi-polygonal or massive ferrite, acicular ferrite, and granular ferrite.

Prediction of As-Cast Grain Size of Inoculated Multicomponent Aluminum Alloys

2014 ◽  
Vol 790-791 ◽  
pp. 185-190 ◽  
Author(s):  
Qiang Du ◽  
Yan Jun Li
Keyword(s):  
Numerical Simulation ◽  
Grain Size ◽  
Aluminum Alloys ◽  
Cooling Curve ◽  
Restriction Factor ◽  
Grain Sizes ◽  
Cooling Conditions ◽  
Proposed Model ◽  
Simulation Results ◽  
Melt Composition

In this paper, an extendedMaxwell-Hellawell numerical grain size prediction model is employed to predictas-cast grain size of inoculated aluminum alloys. Given melt composition,inoculation and cooling conditions, the model is able to predict maximumnucleation undercooling, cooling curve and final as-cast grain size of multi-componentalloys. The proposed model has been applied to various binary andmulticomponent alloys. Upon analyzing the numerical simulation results, it isfound that for both binary and multi-component alloys, grain size does not havea one-to-one relation with Growth Restriction Factor, Q, but has a clear ubiquitous correlation with the average diffusivity-weightedQ, defined as W in this paper. This founding helps solve the controversy seen inthe recent work on analytical grain size and Q relations. It also has been used to interpret the scatters seenin the measured grain sizes as a function of Q values reported in the literature.

Analysis on Section Effect of Heavy Plate by Finite Element Method during Controlled Cooling

2008 ◽  
Vol 575-578 ◽  
pp. 1407-1413
Author(s):  
Nan Li ◽  
Cai Fu Yang ◽  
Tao Pan
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Steel Plate ◽  
Cooling Curve ◽  
Controlled Cooling ◽  
Temperature Field Distribution ◽  
Heavy Plate ◽  
Cooling Conditions ◽  
Cooling Schedule ◽  
Element Method

ANSYS implicit finite element method (FEM) was used to simulate the process of controlled cooling of 50mm heavy plate. And the corresponding cooling curve and temperature field distribution were obtained from the calculations. The results indicated the section inhomogeneity of temperature at different place from surface to center of steel plate. Different cooling conditions were compared to analyze the effect of cooling schedule on section inhomogeneity, which could provide theoretical basis for selecting appropriate cooling schedule to alleviate the section effect.

scholarly journals Precipitation model in microalloyed steels both isothermal and continuous cooling conditions

2015 ◽  
Vol 51 (4) ◽  
pp. e056 ◽  
Author(s):  
Sebastián F. Medina ◽  
Alberto Quispe ◽  
Manuel Gómez
Keyword(s):  
Microalloyed Steels ◽  
Continuous Cooling ◽  
Cooling Conditions ◽  
Precipitation Model

scholarly journals Model of the Austenite Decomposition during Cooling of the Medium Carbon Steel Using LSTM Recurrent Neural Network

Materials ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4492
Author(s):  
Adam Kulawik ◽  
Joanna Wróbel ◽  
Alexey Mikhailovich Ikonnikov
Keyword(s):  
Neural Network ◽  
Short Term Memory ◽  
Medium Carbon Steel ◽  
Training Data ◽  
Cooling Curve ◽  
Macroscopic Model ◽  
Austenite Decomposition ◽  
Cooling Process ◽  
Time Step ◽  
Continuous Cooling

The motivation of the presented paper is the desire to create a universal tool to analyse the process of austenite decomposition during the cooling process of various steel grades. The presented analysis concerns the application of Recurrent Artificial Neural Networks (RANN) of the Long Short-Term Memory (LSTM) type for the analysis of the transition path of the cooling curve. This type of network was selected due to its ability to predict events in time sequences. The proposed generalisation allows for the determination of the austenite transformation during the continuous cooling process for various cooling curves. As training data for the neural network, values determined from the macroscopic model based on the analysis of Continuous Cooling Transformation (CCT) diagrams were used. All relations and analyses used to build training/testing or validation sets are presented in the paper. The modelling with the use of LSTM network gives the possibility to determine the incremental changes of phase transformation (in a given time step) with the assumed changes of temperature resulting from the considered cooling rate.

scholarly journals Crystal Chemistry of Barian Titanian Phlogopite from a Lamprophyre of the Gargano Promontory (Apulia, Southern Italy)

Minerals ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 766
Author(s):  
Gennaro Ventruti ◽  
Alfredo Caggianelli ◽  
Vincenzo Festa ◽  
Antonio Langone
Keyword(s):  
Structural Parameters ◽  
Structure Refinement ◽  
Broad Band ◽  
X Ray Diffraction ◽  
Raman Analysis ◽  
Cooling Conditions ◽  
Substitution Mechanism ◽  
Gargano Promontory ◽  
Fast Cooling ◽  
Length Distortion

This study is focused on a barian titanian phlogopite found in an alkaline ultramafic dyke transecting Mesozoic limestones of the Gargano Promontory (Apulia, Italy). The rock containing the barian titanian phlogopite, an olivine-clinopyroxene-rich lamprophyre with nepheline and free of feldspars, has been classified as monchiquite. The present study combines chemical analyses, single crystal X-ray diffraction and Raman spectroscopy. Chemical variations suggest that the entry of Ba into the phlogopite structure can be explained by the exchange Ba + Al = K + Si. The crystal structure refinement indicates that the Ti uptake is consistent with the Ti–oxy exchange mechanism. The structural parameters associated with the oxy substitution mechanism are extremely enhanced and rarely reported in natural phlogopite: (a) displacement of M2 cation toward the O4 site (~0.7); (b) M2 octahedron bond-length distortion (~2.5); (c) very short c cell parameter (~10.14 Å). Raman analysis showed most prominent features in the 800–200 cm−1 region with the strongest peaks occurring at 773 and 735 cm−1. Only a weak, broad band was observed to occur in the OH-stretching region. As concerns the origin of the barian titanian phlogopite, the rock textural features clearly indicate that it crystallized from pockets of the interstitial melt. Here, Ba and Ti enrichment took place after major crystallization of olivine under fast-cooling conditions, close to the dyke margin.

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