Optimizing spot welding parameters in a sheet metal assembly by neural networks and genetic algorithm

2007 ◽  
Vol 221 (7) ◽  
pp. 1175-1184 ◽  
Author(s):  
M Hamedi ◽  
M Shariatpanahi ◽  
A Mansourzadeh
Keyword(s):  
Neural Networks ◽  
Spot Welding ◽  
Welding Process ◽  
Welding Current ◽  
The Body ◽  
Welding Parameters ◽  
Automotive Body ◽  
Body In White ◽  
Assembly Operations

Deformation of the spot-welded sub-assemblies in assembly operations and the gap between the matching sub-assemblies have been quality concerns specifically in the automotive industry. Overall quality of the car body and its sub-assemblies, apart from quality of each stamped part, depends markedly on the welding process. This paper considers optimization of three important process parameters in the spot welding of the body components, namely welding current, welding time, and gun force. In this research, first the effects of these parameters on deformation of the sub-assemblies are experimentally investigated. Then neural networks and multi-objective genetic algorithms are utilized to select the optimum values of welding parameters that yield the least values of dimensional deviations in the sub-assemblies. Welding sub-assemblies with the optimized set of parameters brought all of them into the tolerance range. The proposed approach can be utilized in manufacturing sub-assemblies that can fit and match better with adjacent parts in the automotive body. It enhances quality of the joint and will result in improving overall quality of the body in white.

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.

scholarly journals Optimization on Spot Weld Parameters in Resistance Spot Welding Process on AISI 304

2021 ◽  
Vol 11 (3) ◽  
pp. 181-185
Author(s):  
Amit Hazari ◽  
Rith Saha ◽  
Bidisha Ghosh ◽  
Debraj Sengupta ◽  
Sayan Sarkar ◽  
...  
Keyword(s):  
Resistance Spot Welding ◽  
Spot Welding ◽  
Welding Process ◽  
Welding Current ◽  
Electrical Current ◽  
Industrial Applications ◽  
Spot Weld ◽  
Welding Parameters ◽  
Resistance Spot ◽  
Weld Time

The spot welding procedure is used in a variety of industrial applications. The most critical elements influencing welding quality, productivity, and cost are the spot welding parameters. This research examines the effect of welding factors such as welding current and welding time on the strength of various welding joint designs. Resistance spot welding (RSW) is used in the automotive industry for manufacturing. This research focused on the optimization of process parameters for resistance spot welding (RSW), as well as the tensile testing and spot weld diameter. The goals of this analysis are to comprehend the physics of the process and to demonstrate the effect of electrical current, weld time, and material type on the resistance spot welding process.

Welding sequence optimisation in the automotive industry: A review

2019 ◽  
Vol 233 (17) ◽  
pp. 5945-5952
Author(s):  
Varshan Beik ◽  
Hormoz Marzbani ◽  
Reza Jazar
Keyword(s):  
Automotive Industry ◽  
Spot Welding ◽  
Fast Rate ◽  
Welding Process ◽  
Future Research ◽  
Automotive Body ◽  
Welding Sequence ◽  
Common Technique ◽  
The Common

Spot welding is the most common technique used to join sheet metals in the automotive industry due to the fast rate of production. Optimising the welding process including the sequence, number and location of the welds would significantly improve the quality of the final product and production cost. This paper presents an overview on the available methods to plan and optimise various aspects of the welding process including welding sequence, weld quantity and location. Firstly, the welding concept in the automotive industry is briefly reviewed. Secondly, the welding process optimisation with emphasis on the welding sequence is discussed. The common gaps and challenges are identified and, lastly, future research to plan and optimise the welding sequence in the automotive body is outlined.

A Simulation of Spot Welding Process

2014 ◽  
Vol 657 ◽  
pp. 226-230 ◽  
Author(s):  
Viorel Cohal
Keyword(s):  
Process Parameters ◽  
Growth Curve ◽  
Spot Welding ◽  
Welding Process ◽  
Process Parameter ◽  
Welding Parameters ◽  
Welding Machine

The paper presents the optimization of spot welding parameters using offline simulation. The procedure of making simulation with SORPAS® is similar to the procedure of doing practical welding process, which can be divided into the following three steps:Data preparation - the materials and geometries of the workpieces and electrodes are defined, the type of welding machine is selected and the process parameters are specified.Running simulation of welding - the parts are welded in the selected welding machine with the specified process parameter settings. The simulations can be carried out in four ways: single simulations, batch simulations, automated optimizations and weld planning.Evaluation of results - the results of welding and quality of weld are evaluated thus the design and parameter settings are verified. With the optimization procedures the weld growth curve can be obtained.

scholarly journals Production Automation as A Factor in Improving Product Quality in The Automotive Industry

2020 ◽  
pp. 1-25
Author(s):  
Ewa Kulińska ◽  
Dariusz Masłowski ◽  
Małgorzata Dendera-Gruszka ◽  
Lilianna Wojtynek ◽  
Konstanty Szeląg
Keyword(s):  
Product Quality ◽  
Spot Welding ◽  
Industrial Robot ◽  
Welding Process ◽  
Quality Parameters ◽  
The Body ◽  
Production Costs ◽  
Production Automation ◽  
The Impact

The automation of production is an important element in the functioning of any production enterprise. The aim of this article is to analyze the quality of the product made manually with the use of spot-welding machines and to analyze the quality of the product made by the industrial robot type "Fanuc Robotics S-420i". The analyzed product was the front panel of the body, made of semi-finished products in the spot-welding process. During the analysis, the impact of production automation on the product quality was found. Applications of the robotized welding process are used not only because of better quality parameters, but also because of the significant reduction of production costs and less fatigue of employees. The robot operator is a quality controller and contributes to quality management.

scholarly journals Connection Status Research of the Resistance Spot Welding Joint Based on a Rectangular Terminal Electrode

Metals ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 659
Author(s):  
Xiaoqi Zhang ◽  
Lingbo Wei ◽  
Guocheng Xu ◽  
Chunsheng Wang
Keyword(s):  
Resistance Spot Welding ◽  
Spot Welding ◽  
Process Analysis ◽  
Welding Process ◽  
Welding Current ◽  
Welding Parameters ◽  
Current Time ◽  
Axis Direction ◽  
Resistance Spot ◽  
Welding Pressure

Rectangular terminal electrode is adopted in this research to conduct a resistance spot welding (RSW) process on stainless steel plate. The connection status of RSW joints under different welding current, time, and pressure were studied, and revealed how the rectangular terminal electrode shape and its dimensions influence the RSW joint dimensions. The process analysis results showed that the RSW nuggets welded with rectangular terminal electrode are normally elliptical in shape, and the dimensions of the long axis direction and the short axis direction have a certain proportion. As the welding current increases, the nuggets dimensions in long direction increase first and then decrease, and the internal grain structure also varies. As the welding time increases, the nugget size in long direction increase first and then steady and rarely splash occurs. As the welding pressure increase, the nugget dimensions in long direction increase first and then decrease, and the splash easily occurs under large welding pressure. However, when the welding pressure is too small, the unique adjacent double fusion nugget formed. By adopting proper welding parameters, the nugget size and quality can be controlled. This provides an important basis for the application of rectangular terminal electrode in RSW welding process.

Study on the Numerical Simulation of the Resistance Spot Welding Process of Magnesium Alloy

2011 ◽  
Vol 189-193 ◽  
pp. 3431-3436
Author(s):  
Jun Wang ◽  
Yun Yan Hu ◽  
Hui Xia Wang ◽  
Yu Feng Zhang
Keyword(s):  
Numerical Simulation ◽  
Magnesium Alloy ◽  
Spot Welding ◽  
Pressure Gauge ◽  
Welding Process ◽  
Welding Current ◽  
Welding Parameters ◽  
Linear Expansion Coefficient ◽  
Welding Quality ◽  
Plate Electrode

Spot welding of magnesium alloy was a complex processes of thermal, electrical, mechanical and metallurgical mutual coupling, meanwhile its’ low melting point, high thermal conductivity, and high linear expansion coefficient increased the welding quality control difficultly. Basing on SYSWELD, a numerical simulation of effects of welding current, welding time, thickness of plate, electrode pressure gauge and size on the nugget shape and welding quality of ZA31B was demonstrated. The relationship between the size of the nugget dimensions and the welding parameters was established by a large number of simulation and experimental study. The experimental results showed that the analogue result was consistent with the test results, and it could be used to guide the actual production.

The Influence of Welding Parameters on Effected the Complete for Resistance Spot Welding on Mild Steel

2011 ◽  
Vol 214 ◽  
pp. 113-117 ◽  
Author(s):  
Prachya Peasura
Keyword(s):  
Mild Steel ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Welding Process ◽  
Welding Current ◽  
Welding Parameters ◽  
Welding Time ◽  
Tensile Shear ◽  
Resistance Spot ◽  
Electrode Force

This research was study the effect of resistance spot welding process on physical properties. The specimen was mild steel sheet metal. The experiments with full factorial design. The factors used in this study are welding current, welding time and electrode force. The welded specimens were tested by tensile shear testing according to JIS Z 3136: 1999 and macro structure testing according to JIS Z 3139: 1978. The result showed that both of welding current, welding time and electrode force had interaction on tensile shear and nugget size at 95% confidential (P value < 0.05). Factors affecting the tensile shear and nugget size are the most welding current 10,000 amp., welding time 10 cycle and electrode force 1 kN. were tensile shear 7.13 kN. and nugget size maximum 6.75 mm. This research can bring information to the foundation in choosing the appropriate parameters to resistance spot welding process.

Resistance Spot Welding Process of Galvanized Steel Sheet Based on Regression Modeling

2009 ◽  
Vol 610-613 ◽  
pp. 681-686
Author(s):  
Yi Luo ◽  
Hong Ye ◽  
Cheng Zhi Xiong ◽  
Lin Liu ◽  
Xu Wei Lv
Keyword(s):  
Resistance Spot Welding ◽  
Spot Welding ◽  
Steel Sheet ◽  
Welding Process ◽  
Welding Current ◽  
The Body ◽  
Galvanized Steel ◽  
Spot Welds ◽  
Current Electrode ◽  
Resistance Spot

The resistance spot welding process of galvanized steel sheet used in the body manufacturing of family car was studied, and the indexes of nugget geometry and tensile-shear strength of spot welds were tested. Four process parameters, namely welding current, electrode force, welding current duration and preheat current, and interactions among them were regarded as factors impacting indexes. Method using in mathematical models developing was nonlinear multiple orthogonal regression assembling design, which was optimized by the technology of variance analysis. The experimental results showed that more accurate prediction on nugget size and mechanical properties of spot welds can be obtained by the models optimized. With these prediction results, the optimization of welding process also was realized by the analysis to effect of the parameters and interactions on the welding quality.

scholarly journals Short-Pulse Resistance Spot Welding of Aluminum Alloy 6016-T4 - Part 1

2021 ◽  
Vol 100 (01) ◽  
pp. 41-51
Author(s):  
ERIC SCHULZ ◽  
◽  
MATTHIAS WAGNER ◽  
HOLGER SCHUBERT ◽  
WENQI ZHANG ◽  
...  
Keyword(s):  
Aluminum Alloy ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Short Pulse ◽  
Welding Process ◽  
Welding Current ◽  
Welding Parameters ◽  
Resistance Spot ◽  
Pull Out ◽  
Welding Processes

Short-pulse welding parameters for resistance spot welding (RSW) of aluminum alloy AA6016-T4 using mediumfrequency direct current (MFDC) systems were developed to reduce the heat input required for nugget formation. Optimization of current and time parameters is critical during RSW of aluminum alloys for reducing energy requirements and avoiding weld imperfections, such as solidification cracking and expulsion, while maintaining weld quality, particularly given the high electrical and thermal conductivities of the materials. The welding time and the applied current level of the current pulse were varied systematically for thin sheets (1 mm or 0.04 in.) of AA6016-T4. The quality of the welds was evaluated by pull-out testing, ultrasound testing, and metallography techniques. Simulations of the same welding processes were performed with the finite element-based SORPAS® software. The results showed short-pulse MFDC RSW can reduce the energy required for sound welds in this alloy without requiring an increase in welding current. The simulations and experiments also showed the welding process had distinct weld nugget nucleation and growth phases.

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