Geometric Deformations of Welded Metallic Structures

2014 ◽  
Vol 657 ◽  
pp. 342-347 ◽  
Author(s):  
Andreea Mădălina Ene Căscătău ◽  
Patrice Plassais ◽  
Marian Gheorghe
Keyword(s):  
Experimental Research ◽  
Process Parameters ◽  
Measurement System ◽  
Quality Characteristics ◽  
Welding Robot ◽  
Metallic Structure ◽  
Metallic Structures ◽  
Welded Structure ◽  
Geometric Deformation ◽  
Set Up

Various research on the influence of different process parameters on quality characteristics of metallic structures assembled by welding have been accomplished [1 - 8, etc.]. The deformations of metallic structure components assembled by welding depend on the characteristics of the components, welded gap, welding speed, scheme and time of components fixing, etc. The paper presents the data and main results of an experimental research on the influence of two process parameters - the welding gap and the fixing time of the components - on the geometric deformations of certain metallic structure components in industrial conditions. Complex experiment and set-up including industrial welding robot and advanced measurement system have been designed and used. The geometric deformations of the welded metallic structure components are caused by forces and phenomenon heating - cooling, i.e. dilatation - contraction, respectively, acting during the periods of fixing - welding, fixing - cooling, cooling without fixing. Relevant dependences between the geometric deformation of welded structure and the considered influencing process parameters have been evidenced.

Effective Dimensional Characteristics of Certain Industrial Welded Structures

2015 ◽  
Vol 760 ◽  
pp. 527-532
Author(s):  
Andreea Mădălina Ene Căscătău ◽  
Daniel Morel ◽  
Marian Gheorghe
Keyword(s):  
Measurement System ◽  
Welding Speed ◽  
Research Method ◽  
Industrial Research ◽  
Quality Characteristics ◽  
Metallic Structure ◽  
Metallic Structures ◽  
Welded Structures ◽  
Geometrical Characteristics

Various studies on the quality characteristics of products manufactured in different industrial conditions have been accomplished. The quality characteristics of welded metallic structures depend of the material and geometrical characteristics of the components, welded gap, welding speed, scheme and time of components fixing, etc. The paper presents main elements of an industrial research on the dimensional characteristics of a certain welded metallic structure. The research method used in this paper is the systematic analyse in industrial conditions, including welding robotised cell and 3D advanced measurement system.

Nonlinear Dynamic Response and Buckling of Damaged Composite Pipes Under Radial Impact

2006 ◽  
Author(s):  
Wenyong Tang ◽  
Tianlin Wang ◽  
Shengkun Zhang
Keyword(s):  
Dynamic Response ◽  
Shear Deformation ◽  
Nonlinear Dynamic ◽  
Shear Deformation Theory ◽  
Nonlinear Dynamic Response ◽  
Nonlinear Dynamic Equations ◽  
Geometric Deformation ◽  
Initial Geometric Imperfections ◽  
Set Up ◽  
Composite Pipes

In this paper, the nonlinear dynamic response and buckling of damaged composite pipes under radial impact is investigated. A model involving initial geometric deformation, delamination and sub-layer matrix damage is set up for theoretical analysis. Based on the first order shear deformation theory, the nonlinear dynamic equations of the composite pipe considering transverse shear deformation and initial geometric imperfections are obtained by Hamilton’s theory and solved by a semi-analytical finite difference method. The effects of damage on the dynamic response and buckling of composite pipes are discussed.

scholarly journals Multi Quality Characteristics Of WEDM Process Parameters with RSM

2013 ◽  
Vol 64 ◽  
pp. 710-719 ◽  
Author(s):  
Neeraj Sharma ◽  
Rajesh Khanna ◽  
Rahuldev Gupta
Keyword(s):  
Process Parameters ◽  
Quality Characteristics ◽  
Wedm Process

Experimental Research of Electrochemical Mechanical Polishing (ECMP) for Micro Tool Electrode

2011 ◽  
Vol 314-316 ◽  
pp. 1846-1850 ◽  
Author(s):  
Shuai Guo ◽  
Z.N Guo ◽  
Hong Ping Luo ◽  
Wen Cai Gu
Keyword(s):  
Experimental Research ◽  
Process Parameters ◽  
Mechanical Polishing ◽  
Working Fluid ◽  
Tool Electrode ◽  
Electrical Parameters ◽  
Electrochemical Mechanical Polishing ◽  
Major Process ◽  
Micro Tool ◽  
Quantitative Analyses

The mechanism of the elctrochemical mechanical polishing (ECMP) technology for micro tool electrode was investigated. In this paper, suitable major process parameters on the surface quality were evaluated, the major parameters contains electrical parameters, machining gap, the working fluid and other factors. In quantitative analyses, the process of the ECMP technology were conducted. The roughness of the workpiece was reduced from a relatively high value to a mirror effect.

Thermo-Mechanical Characterization of Friction Stir Spot Welded Sheets: Experimental and FEM Comparison between AA6060 and AA7050 Alloys

2015 ◽  
Vol 651-653 ◽  
pp. 1472-1479 ◽  
Author(s):  
Gianluca D'Urso ◽  
Claudio Giardini
Keyword(s):  
Mechanical Properties ◽  
Process Parameters ◽  
Lap Joints ◽  
Cnc Machine ◽  
Friction Stir ◽  
Commercial Code ◽  
Welding Forces ◽  
Set Up ◽  
Deform 2D ◽  
Short Time

A study was carried out to evaluate how the Friction Stir Spot Welding (FSSW) process parameters affect the temperature distribution in the welding region, the welding forces and the mechanical properties of the joints. An experimental campaign was performed by means of a CNC machine tool and FSSW lap joints on both AA6060 and AA7050 aluminum alloy plates were obtained. Some thermocouples were inserted into the samples to measure the temperatures during FSSW. A set of tests was carried out by varying the process parameters, namely rotational speed, axial feed rate and plunging depth. Axial welding forces were measured during the execution of the experiments by means of a piezoelectric load cell. The mechanical properties of the joints were assessed by executing shear tests on the specimens. A comparison between the quality of the joints obtained on the two materials and a correlation between process parameters and joints properties was found. A FEM model for the simulation of the process was set up using the commercial code Deform 2D. The peculiarity of this model is a 2D approach used for the simulation of a 3D problem, in order to guarantee a very simple and practical model able to achieve results in a very short time. This solution was achieved, based on a specific external routine for the calculation of the developed thermal energy due to the friction between tool and workpiece. The collected experimental data were finally used to validate the model.

Numerical Simulation of Viscous Jet for Near-Field Electrospinning

2009 ◽  
Vol 60-61 ◽  
pp. 465-469 ◽  
Author(s):  
Yuan Yuan Zhong ◽  
Gao Feng Zheng ◽  
Dao Heng Sun
Keyword(s):  
Numerical Simulation ◽  
Field Strength ◽  
Process Parameters ◽  
Near Field ◽  
Solution Concentration ◽  
Electrospinning Process ◽  
Substrate Distance ◽  
Viscous Jet ◽  
Set Up ◽  
The Impact

Near-Field Electrospinning (NFES) is a newly developed method to fabricate continuous and ordered solid nanofibers, with smaller spinneret-to-collector-distance the behavior of viscous jet would play a more prominent effect on the deposition and morphology of nanofiber. In this paper, a 2-dimentional physical model based on electrohydrodynamics and rheology was set up to discuss the morphology of viscous jet for NFES. The profile of the jet along z direction can be predicted by this model, and the impact of process parameters on the jet radius is analyzed. Radius of jet decreases with spinneret-to-substrate-distance decreasing; jet radius decreases with applied voltage and electric field strength increasing; jet electrospun from PEO solution is thinner than that from PVA solution with the same solution concentration; solution concentration has insignificant influence on the radius of jet from solution of the same polymer (PVA or PEO). This numerical simulation would improve the control of electrospinning process in NFES.

scholarly journals Defect Detection in CK45 Steel Structures through C-scan Images Using Deep Learning Method

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Navid Moshtaghi Yazdani
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Measurement System ◽  
Processing System ◽  
Steel Structures ◽  
Learning Method ◽  
Metallic Structures ◽  
Defect Profile ◽  
Network Methods ◽  
Deep Convolution Neural Network

In the present paper, a method for reliable estimation of defect profile in CK45 steel structures is presented using an eddy current testing based measurement system and post-processing system based on deep learning technique. So a deep learning method is used to determine the defect characteristics in metallic structures by magnetic field C-scan images obtained by an anisotropic magneto-resistive sensor. Having designed and adjusting the deep convolution neural network and applied it to C-scan images obtained from the measurement system, the performance of deep learning method proposed is compared with conventional artificial neural network methods such as multilayer perceptron and radial basis function on a number of metallic specimens with different defects. The results confirm the superiority of the proposed method for characterizing defects compared to other classical training-oriented methods.

Modeling and Optimization of Gas Metal Arc Welding (GMAW) Process

2012 ◽  
pp. 339-367
Author(s):  
R. Venkata Rao
Keyword(s):  
Process Parameters ◽  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Welding Process ◽  
Optimization Methods ◽  
Optimization Techniques ◽  
Modeling And Optimization ◽  
Metal Arc Welding ◽  
Process Output ◽  
Set Up

Weld quality is greatly affected by the operating process parameters in the gas metal arc welding (GMAW) process. The quality of the welded material can be evaluated by many characteristics, such as bead geometric parameters, deposition efficiency, weld strength, weld distortion, et cetera. These characteristics are controlled by a number of welding process parameters, and it is important to set up proper process parameters to attain good quality. Various optimization methods can be applied to define the desired process output parameters through developing mathematical models to specify the relationship between the input parameters and output parameters. The method capable of accurate prediction of welding process output parameters would be valuable for rapid development of welding procedures and for developing control algorithms in automated welding applications. This chapter presents the details of various techniques used for modeling and optimization of GMAW process parameters. The optimization methods covered in this chapter are appropriate for modeling and optimizing the GMAW process. It is found that there is high level of interest in the adaptation of RSM and ANN techniques to predict responses and to optimize the GMAW process. Combining two optimization techniques, such as GA and RSM, would reveal good results for finding out the optimal welding conditions. Furthermore, efforts are required to apply advanced optimization techniques to find out the optimal parameters for GMAW process at which the process could be considered safe and more economical.

Sign in / Sign up

Export Citation Format

Share Document