Modeling of Weld Penetration in Gas Metal Arc Welding Process by Fractional Factorial Technique
Publish Year: 1386
Type: Conference paper
Language: English
View: 2,055
This Paper With 12 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
ICME08_128
Index date: 18 November 2009
Modeling of Weld Penetration in Gas Metal Arc Welding Process by Fractional Factorial Technique abstract
In gas metal arc welding (GMAW) process, selecting appropriate values for process parameters is essential in order to control heat input into the workpiece from which reliable predictions can be made about the metallurgical and the mechanical properties of welded joints and at the same time to get the required bead size and quality. Also,conditions must be selected that will ensure a predictable and reproducible weld penetration, which is critical for obtaining high quality welds.In this paper, the effect of various welding parameters on weld penetration in aluminum alloy 5083 plate by mechanized gas metal arc welding process was investigated. The wire feed speed, welding voltage, nozzle-to-plate distance, and welding speed were chosen as welding parameters. The weld penetrations were measured for each specimen after the welding operations and the effects of these parameters on penetration were investigated.
Modeling of Weld Penetration in Gas Metal Arc Welding Process by Fractional Factorial Technique Keywords:
Gas metal arc welding (GMAW) , Weld penetration , Fractional factorial technique , Modeling , Analysis of variance , Multiple linear regression
Modeling of Weld Penetration in Gas Metal Arc Welding Process by Fractional Factorial Technique authors
M Aghakhani
Assistant Professor in Production Engineering (Welding Technology), College of Engineering, University of Razi, Kermanshah-۶۷۱۴۹, Ira
S. S. Mostafavi
Post Graduate Student, Department of Mechanical Engineering, College of Engineering,University of Razi, Kermanshah-۶۷۱۴۹, Iran.
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :