scholarly journals An Investigation of Deep Drawing of Low Carbon Steel Sheets and Applications in Artificial Neural Networks

1997 ◽  
Vol 2 (3) ◽  
pp. 119-125 ◽  
Author(s):  
Cevdet Meriç ◽  
N. Köksal ◽  
Bekir Karlık
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Carbon Steel ◽  
Deep Drawing ◽  
Low Carbon Steel ◽  
Low Carbon ◽  
Steel Sheets ◽  
Artificial Neural

An enhanced method for the identification of ferritic morphologies in welded fusion zones based on gray-level co-occurrence matrix: A computational intelligence approach

2020 ◽  
pp. 095440622094226 ◽  
Author(s):  
Amanda Campos Souza ◽  
Gulliver Catão Silva ◽  
Lecino Caldeira ◽  
Fernando Marques de Almeida Nogueira ◽  
Moisés Luiz Lagares Junior ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Computational Intelligence ◽  
Low Carbon Steel ◽  
Support Vector ◽  
Gray Level ◽  
Low Carbon ◽  
Identification Rate ◽  
Artificial Neural ◽  
Occurrence Matrix

This work focuses on the identification of five of the most common ferritic morphologies present in welded fusion zones of low carbon steel through images acquired by photomicrographies. With this regards, we discuss the importance of the gray-level co-occurrence matrix to extract the features to be used as the input of the computational intelligence techniques. We use artificial neural networks and support vector machines to identify the proportions of each morphology and present the error identification rate for each technique. The results show that the use of gray-level co-occurrence extraction allows a less intense computational model with statistical validity and the support vector machine as a computational intelligence technique allows smaller variability when compared to the artificial neural networks.

Increase of Lankford Value of Al-Mg-Si Sheets for Automotive Panel Produced by Asymmetric Warm Rolling

2007 ◽  
Vol 539-543 ◽  
pp. 333-338 ◽  
Author(s):  
Yoshiki Miki ◽  
Katsumi Koyama ◽  
O. Noguchi ◽  
Y. Ueno ◽  
Toshio Komatsubara
Keyword(s):  
Aluminum Alloy ◽  
Carbon Steel ◽  
Weight Reduction ◽  
Deep Drawing ◽  
Low Carbon Steel ◽  
Warm Rolling ◽  
Alloy Sheet ◽  
Low Carbon ◽  
Steel Sheets ◽  
R Value

To restrain global warming, weight reduction of autobodies is needed for fuel saving and discharge of carbon dioxide (CO2) gas. Usage of light weight aluminum alloy sheets is efficiency for the weight reduction, but the less formabilities comparing with low carbon steel sheets restrict the usage of autobodies applications actually. To improve the formabilities of aluminum alloy sheets, asymmetric warm rolling is studied. The formability of a metallic sheet strongly depends on the textures. Lankford value (r-value), one of the indicators of formability, of recrystallized low carbon steel sheets is high because the density of {111}//ND orientation suitable for deep drawing is high. The texture of conventionally cold rolled and recrystallized aluminum alloy sheets mainly consists of cube texture which is lower r-value and unsuitable for deep drawing. It is well known that similar texture to low carbon steel sheet can be obtained by shear deformation in aluminum alloy sheets. To provide the shear texture in aluminum alloy sheet, asymmetric warm rolling is carried out at 473K-573K with differential roll velocities. A small amount of {111}//ND orientation which is hardly produced by conventionally cold rolling is observed in asymmetric warm rolled aluminum alloy sheets after recrystallizing. Controlling the asymmetric warm rolling conditions, such as rolling temperature, total reduction and asymmetric ratio, higher r-value and deep drawability comparing with conventionally processed aluminum alloy sheets are achieved. Other properties such as strength, elongation, and bendability of asymmetric warm rolled sheets are almost same as those of conventionally processed sheets.

WEIRKOTE PLUS

Alloy Digest ◽  
1987 ◽  
Vol 36 (6) ◽  
Keyword(s):  
Corrosion Resistance ◽  
Aluminum Alloy ◽  
Carbon Steel ◽  
Physical Properties ◽  
Deep Drawing ◽  
Sheet Steel ◽  
Low Carbon Steel ◽  
Low Carbon ◽  
Steel Corp ◽  
Coated Sheet

Abstract WEIRKOTE PLUS is a Galfan-coated sheet steel. The sheet is conventional low-carbon steel normally used for galvanized sheets and strip. This digest will concentrate on the characteristics and properties of the Galfan coating which is nominally a 95% zinc-5% aluminum alloy. The coating on Weirkote Plus is ideal for a variety of tough applications. It is excellent for products that require deep drawing and it combines extra corrosion resistance with superior formability. This datasheet provides information on composition and physical properties. It also includes information on corrosion resistance as well as forming, joining, and surface treatment. Filing Code: Zn-41. Producer or source: Weirton Steel Corp.

scholarly journals Effect of Addition of a Very Small Amount of Carbon on the Transformation Texture of 1%Mn-0.034%Ti Extra-low Carbon Steel Sheets

2001 ◽  
Vol 87 (9) ◽  
pp. 600-606
Author(s):  
Masatoshi SUDO ◽  
Shinji WAKIKAWA ◽  
Masahiro OKUNO ◽  
Ichiro TSUKATANI
Keyword(s):  
Carbon Steel ◽  
Low Carbon Steel ◽  
Low Carbon ◽  
Steel Sheets ◽  
Transformation Texture
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