Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Edwin Raja Dhas, J.
- Prediction of Weld Bead Geometry in Saw Using Regression Method
Abstract Views :163 |
PDF Views:0
Authors
Affiliations
1 Department of Production Engineering, National Institute of Technology, Tiruchirapalli, IN
1 Department of Production Engineering, National Institute of Technology, Tiruchirapalli, IN
Source
Manufacturing Technology Today, Vol 6, No 11 (2007), Pagination: 31-34Abstract
Submerged Arc Welding (SAW) is a metal joining technique widely used in heavy fabrication industries due to its inherent properties. The welding quality and productivity is controlled by the process parameters. The process planners use different techniques to estimate the influence of the welding parameters (welding current, arc voltage, welding speed and electrode stickout) on bead geometry. This paper discusses about the design of experiments and the development of Multiregression model to predict the weld bead geometry. The developed model determines those variables which will give the desired set of bead geometry (weld bead width, weld reinforcement, weld bead penetration, reinforcement area, and area of penetration and bead dilution).- Optimization of Material Removal Rate and Surface Roughness for Wire Electric Discharge Machining of AA7075 Composites Using Grey Relational Analysis
Abstract Views :221 |
PDF Views:107
Authors
Affiliations
1 Dept. of Aeronautical Engg., Noorul Islam University, Kanyakumari, IN
2 Dept. of Automobile Engg., Noorul Islam University, Kanyakumari, IN
3 Dept. of Mech. Engg., MPSTME, SVKM’S NMIMS, Dhule, Maharashtra, IN
1 Dept. of Aeronautical Engg., Noorul Islam University, Kanyakumari, IN
2 Dept. of Automobile Engg., Noorul Islam University, Kanyakumari, IN
3 Dept. of Mech. Engg., MPSTME, SVKM’S NMIMS, Dhule, Maharashtra, IN