scholarly journals Effect of microstructure and alloying elements distribution on welding quality of Zircaloy-4

2017 ◽  
Vol 182 ◽  
pp. 012020 ◽  
Author(s):  
Pengbo Ji ◽  
Yanhua Du ◽  
Chunxia Chi ◽  
Hongbo Wang
Keyword(s):  
Alloying Elements ◽  
Welding Quality ◽  
Effect Of Microstructure

Liquation and Crystallization Cracks in Aluminum Alloy AA2024 during Selective Laser Melting

2021 ◽  
Vol 410 ◽  
pp. 203-208
Author(s):  
I.S. Loginova ◽  
N.A. Popov ◽  
A.N. Solonin
Keyword(s):  
Aluminum Alloy ◽  
Selective Laser Melting ◽  
Laser Scanning ◽  
Scanning Speed ◽  
Melting Zone ◽  
Alloying Elements ◽  
Laser Melting ◽  
Laser Scanning Speed ◽  
Positive Effect

In this work we studied the microstructure and microhardness of standard AA2024 alloy and AA2024 alloy with the addition of 1.5% Y after pulsed laser melting (PLM) and selective laser melting (SLM). The SLM process was carried out with a 300 W power and 0.1 m/s laser scanning speed. A dispersed microstructure without the formation of crystallization cracks and low liquation of alloying elements was obtained in Y-modified AA2024 aluminum alloy. Eutectic Al3Y and Al8Cu4Y phases were detected in Y-modified AA2024 aluminum alloy. It is led to a decrease in the formation of crystallization cracks The uniform distribution of alloying elements in the yttrium-modified alloy had a positive effect on the quality of the laser melting zone (LMZ) and microhardness.

scholarly journals Numerical Simulation Mode of Spot Contact Welding Processes

2021 ◽  
pp. 85-91
Author(s):  
А.С. Угловский ◽  
И.М. Соцкая ◽  
Е.В. Шешунова
Keyword(s):  
Spot Welding ◽  
Low Carbon Steel ◽  
Welding Process ◽  
Welding Parameters ◽  
Low Carbon ◽  
Detailed Data ◽  
Welding Quality ◽  
Welding Processes ◽  
Contact Welding

Цель рассмотрения численного метода заключалась в получении подробных данных, позволяющих оценить проведение сварочного процесса: изменение объёма сварного шва, радиуса сварного шва, радиуса зоны термического влияния. При проведении моделирования авторами выведены зависимости параметров точечной сварки низкоуглеродистой стали толщиной до 3,2 мм. Данные зависимости будут определять качество сварных швов. Соответствующее сочетание параметров точечной сварки обеспечит прочное соединение и хорошее качество сварки. The purpose of the numerical method consideration was to obtain detailed data allowing evaluating the performance of the welding process: changing the volume of the weld, the radius of the weld, the radius of the weld-affected zone. During the simulation the authors have derived dependencies of the parameters of spot welding of low-carbon steel up to 3.2 mm thick. These dependencies will determine the quality of the welds. The correct combination of spot welding parameters will ensure a firm joint and good welding quality.

Process Optimization for Welding Stainless Steel Clad Material Based on Orthotropic Bridge Plates

2012 ◽  
Vol 178-181 ◽  
pp. 2066-2069 ◽  
Author(s):  
Ji Fang ◽  
Yong Zhi Li
Keyword(s):  
Stainless Steel ◽  
Railway Bridge ◽  
Welding Quality ◽  
Grass Roots ◽  
Steel Material ◽  
Stainless Steel Material ◽  
Under Construction ◽  
First Time ◽  
Welding Stainless Steel

Clad plates welding of stainless steel welding on interlayer between grass roots and the transition layer is a key technology.Structure and properties of welded joints is very uneven,and there have often welding repair cracks. Clad plates of stainless steel material is used to weld under construction in the Southern link’s railway bridge for the first time at home .However, there occurs welding warpage of the convex parts and roughness appears excessive on the overall clad plates and severe deformation, and the quality of railway bridge is affected seriously. Reasons of the impacting welding quality are analyzed and specific measures to control them are proposed and the construction program is optimized.the efficiency and quality of welding can be improved ,a good foundation for the compound plates welding is layed,it will be contribute to ensure the overall quality of the welding quality of railway bridge especially the use of clad plates.

Effect of Electron Beam Currents on Welding Quality of CLAM Steel for High Density Cooling Channels

2015 ◽  
Vol 34 (4) ◽  
pp. 895-900 ◽  
Author(s):  
Yutao Zhai ◽  
Chunjing Li ◽  
Bo Huang ◽  
Qunying Huang ◽  
Junyu Zhang
Keyword(s):  
Electron Beam ◽  
High Density ◽  
Welding Quality ◽  
Clam Steel ◽  
Cooling Channels ◽  
Beam Currents

scholarly journals Effect of Microstructure of Al - Si - alloy on the Quality of the Layer Formed with Micro - Arc Oxidation Method

2015 ◽  
Vol 8 (6) ◽  
pp. 6-9 ◽  
Author(s):  
S. K. Kiseleva ◽  
◽  
L. I. Zainullina ◽  
M. M. Abramova ◽  
A. A. Pinegina ◽  
...  
Keyword(s):  
Oxidation Method ◽  
Micro Arc Oxidation ◽  
Effect Of Microstructure

scholarly journals On-Line Spot Welding Quality Prediction with Analysis of Welding Parameters

2020 ◽  
Vol 3 (1) ◽  
pp. 127-140
Author(s):  
Emin Cantez ◽  
İsmail Atalay ◽  
Oğuz Alper İsen ◽  
Serkan Aydın
Keyword(s):  
Machine Learning ◽  
Automotive Industry ◽  
Spot Welding ◽  
Welding Parameters ◽  
Quality Prediction ◽  
Welding Quality ◽  
Important Place ◽  
Machine Learning Methods ◽  
On Line

Spot welding is one of the metal joining technologies and has an important place especially in the automotive industry. A passenger car has average 5000 spots. Destructive inspection is carried out at certain periods to check these spots. However, not all parts can be checked. In this work, welding parameters were collected and analyzed. By applying different machine learning methods, the quality of the spot welding was tried to be estimated and the results were compared.

Recognition and Tracking of Large Seam Based on Robotic Vision

2000 ◽  
Author(s):  
Hong Yue ◽  
Lixin Sun ◽  
Kai Li ◽  
Jianru Shi
Keyword(s):  
Image Processing ◽  
Tracking System ◽  
Seam Tracking ◽  
Welding Quality ◽  
Large Structure ◽  
The Real ◽  
Robotic Vision ◽  
Weld Joints ◽  
Image Segment

Abstract For the seams of large Structure, the low accordance of joint openings usually results in displacement of the real welding track from the robot teaching track, which will affect the welding quality of the structure. It has very important meanings to apply robotic vision for recognizing the feature parameters of the weld joints. A set of seam tracking system is presented. In order to remove arc noise, the methods of LOG filter and image segment filter are used in image processing.

Sign in / Sign up

Export Citation Format

Share Document