Optimal design of neural networks for control in robotic arc welding

Kim, Ill-Soo; Son, Joon-Sik; Lee, Sang‐Heon; Yarlagadda, Prasad K.D.V.

doi:10.1016/s0736-5845(03)00068-1

Cited by 61 publications

(19 citation statements)

References 6 publications

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“…The developed models have been checked for adequacy and signi cance by F-test and t-test. The WBG and penetration in GMAW process have been modeled using ANN by Nagesh and Datta [10]. It has been shown that welding current, arc voltage, and welding speed are the parameters that mostly a ect depth of penetration.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Optimization of Joint Edge Geometry and Process Parameters in Gas Metal Arc Welding Using Integrated ANN - PSO Approach

2017

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Abstract. Gas Metal Arc Welding (GMAW) is one of the most extensively used processes in automated welding due to its high productivity. However, to simultaneously achieve several con icting objectives such as reducing production time, increasing product quality, full penetration, proper joint edge geometry, and optimal selection of process parameters, a multi-criteria optimization procedure must be used. The aim of this research is to develop a multi-criteria modeling and optimization procedure for GMAW process. To simultaneously predict Weld Bead Geometry (WBG) characteristics and Heat-A ected Zone (HAZ), a Back Propagation Neural Network (BPNN) has been proposed. The experimentally derived data sets are used in training and testing of the network. Results demonstrate that the nely tuned BPNN model can closely simulate actual GMAW process with less than 1% error. Next, to simultaneously optimize process characteristics, the BPNN model is inserted into a Particle Swarm Optimization (PSO) algorithm. The proposed technique determines a set of values for parameters and the workpiece groove angle in such a way that a pre-speci ed WBG is achieved while the HAZ of the weld joint is minimized. Optimal results are veri ed through additional experiments.

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Section: Introductionmentioning

confidence: 99%

Simultaneous Optimization of Joint Edge Geometry and Process Parameters in Gas Metal Arc Welding Using Integrated ANN - PSO Approach

2017

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“…The major advantages of the arc welding method are its non-complexity, low cost, exibility for di erent purposes in jointing the metal pieces, and continuous integration due to technological improvements [18]. Because of these advantages, this welding method is still used in today's production processes; even it can be adapted to the automation technology [19][20][21]. The arc welding method can be applied as well with a welding oscillator instead of a manual operator due to continuous improvements in the automated processes.…”

Section: Introductionmentioning

confidence: 99%

An alternative boom design and welding technique to minimize energy consumption during boom production

Özcan

Yağcı

Alver³

2017

Scientia Iranica

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Abstract. This paper presents an alternative boom design for mobile cranes and a method to produce it for minimizing the energy consumption during its production. The main change in the production of the crane booms is the shape of the booms. Normally, two symmetric boom parts are manufactured and, then, these parts are welded by two welding processes. In the proposed design, only one part is manufactured and bended at rst. Therefore, one welding will be su cient and a more energy-friendly process is achieved. With the proposed shape, the corner joints are eliminated when forming the boom shape, without any need to produce them beforehand. Single welding process is applied to minimize energy consumption during the manufacturing of the boom; thus, the welding quality becomes more important. In order to satisfy the welding quality, a welding manipulator is designed and manufactured. By using this welding manipulator, used in a closed area, and the applied lter devices, the harmful gases are not released to the operator and the environment. Finally, the energy and time required during the plasmacutting process of boom parts are decreased by about 41% and the energy consumption during the welding process is decreased by about 53% compared to the traditional methods.

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“…With these advantages, this method is still popular in manufacturing, as it can adapt itself to automation technology [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Design and realization of a welding oscillator

Özcan¹

2014

Turk J Elec Eng & Comp Sci

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Abstract:Welding is one of the most popular methods to combine metal pieces in manufacturing processes. Arc welding, among all welding techniques, is the most commonly used in manufacturing due to its cost and flexibility. During the manufacturing process, arc welding is either performed by an operator or by automatic tools such as welding oscillators.Using automatic tools has advantages over manual use, as the process will be faster, cheaper, and have less welding flaws. In this paper, a homemade welding oscillator and the method to manufacture it are presented. The presented welding oscillator can be manufactured for a very low price compared to those on the market. Moreover, it covers industry-level needs and provides even more functionality with small adjustments if needed by the application. With this work, small-scaled manufacturing foundries will benefit from the price and functionality of the welding oscillator.

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Optimal design of neural networks for control in robotic arc welding

Cited by 61 publications

References 6 publications

Simultaneous Optimization of Joint Edge Geometry and Process Parameters in Gas Metal Arc Welding Using Integrated ANN - PSO Approach

Simultaneous Optimization of Joint Edge Geometry and Process Parameters in Gas Metal Arc Welding Using Integrated ANN - PSO Approach

An alternative boom design and welding technique to minimize energy consumption during boom production

Design and realization of a welding oscillator

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