The modeling and process analysis of resistance spot welding on galvanized steel sheets used in car body manufacturing

Hamidinejad, Mahdi; Kolahan, Farhad; Kokabi, A.H.

doi:10.1016/j.matdes.2011.06.064

Cited by 80 publications

(38 citation statements)

References 16 publications

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“…Hamidinejad et.al. [5], carried out the modeling and process analysis of resistance spot welding on galvanized steel sheets used in car body manufacturing. the resistance spot welding (RSW) process of the galvanized interstitial free (IF) steel sheets and galvanized bake hardenable (BH) steel sheets, used in the manufacturing of car bodies, has been modeled and optimized.…”

Section: ©Ijraset (Ugc Approved Journal): All Rights Are Reservedmentioning

confidence: 99%

Analysis and Optimization of Process Parameters of Resistance Spot Welding Process Using Response Surface Method-A Review

Gawai¹

2018

IJRASET

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Resistance Spot welding is low cost and adequate which has made it highly popular in the making of sheet joints. Various types of resistance welding are developed for producing continuous and pressure tight joints on overlapped materials. Controlling the welding parameters plays an important role in the quality of the weld. This paper reviews on various effects of process parameters on response variables. Input parameters such as welding current, weld time, electrode force and electrode geometry effects on the response variables such as tensile strength, hardness, nugget size. In any automobile, there are 3000-6000 spot welds which demonstrate the level significance of the resistance spot welding. Controlling the welding parameters assumes an imperative part on the nature of the weld.Quality and strength of the welds and therefore body mainly are defined by quality of the weld nuggets. Resistance Spot Welding (RSW) is widely used for its low cost, high speed; simple mechanism and applicability for automation. There are various process parameters (weld current, weld time, pressure) which affect the weld nugget and its strength. So it is necessary to optimize the process parameters of resistance spot welding process. Therefore it is very important to understand the behaviour of spot welds and their failure characteristics.

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Section: ©Ijraset (Ugc Approved Journal): All Rights Are Reservedmentioning

confidence: 99%

Analysis and Optimization of Process Parameters of Resistance Spot Welding Process Using Response Surface Method-A Review

Gawai¹

2018

IJRASET

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“…The application of galvanized steel is widely used in the areas of roofing material, doors, ship's ducts and panels, electricalappliance automobile parts, etc. 31 In the present work, thermal drilling was carried out on galvanized steel. Based on experimental measurement data, an ANN model was developed to predict the formation of the bushing length in thermal drilling of galvanized steel.…”

Section: Introductionmentioning

confidence: 99%

Optimum bushing length in thermal drilling of galvanized steel using artificial neural network coupled with genetic algorithm

Rajesh¹,

Hynes²,

Kumar³

et al. 2017

Mater. Tehnol.

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Thermal drilling is a novel sheet-metal-hole-making technique that utilizes the heat produced at the interface of the rotating conical tool and workpiece in order to soften the workpiece and pierce a hole into it. In this work, experiments with thermal drilling of galvanized steel were conducted based on the Taguchi L27 orthogonal array. Significant process parameters such as rotational speed, tool angle and workpiece thickness were varied during the experimentation. In thermal drilling, the thermal-drill tool pushes aside a large amount of workpiece material to form a sleeve, which is often referred to as the bushing length. A predictive model for the bushing length was developed using a feed-forward artificial neural network based on experimental data. As the bushing length is closely associated with the tapping process, the influences of the input process parameters play a vital role in fastening galvanized steel with threaded fasteners in diverse engineering applications. The optimization problem was solved by implementing a genetic algorithm under constraint limits to maximize the bushing length. Further, a confirmation test was conducted with the intention to compare the optimum value and its corresponding bushing length predicted by the genetic algorithm. Good agreement was observed between the predicted and the experimental values. Keywords: thermal drilling, artificial neural network, genetic algorithm, galvanized steel, bushing length Termi~no vrtanje je nova, za vrtanje lukenj v plo~evino, uporabljena tehnika, ki izkori{~a toploto, proizvedeno na povr{ini vrte~e se konice orodja na obdelovancu z namenom, da ga zmeh~a in vanj naredi luknjo. V delu so bili izvedeni preizkusi na osnovi metode Taguchi L27 z ortogonalno matriko s termi~nim vrtanjem galvaniziranega jekla. Pomembni parametri postopka, kot so: hitrost vrtenja, kot orodja in debelina obdelovanca, so se med eksperimentiranjem spreminjali. Pri toplotnem vrtanju, vrtanje orodja potisne stran ve~materiala obdelovanca tako, da se tvori navarek (rokav) okoli luknje, ki se pogosto omenja kot dol`ina {ablone. Napovedni model za dol`ino {ablone, je razvit z uporabo umetne nevronske mre`e, ki temelji na znanstvenih podatkih. Ker je dol`ina {ablone precej povezana s procesom izdelave navoja, vplivi teh vhodnih procesnih parametrov igrajo klju~no vlogo pri pritrditvi galvaniziranega jekla z navojem pritrdilnih elementov v razli~nih in`enirskih aplikacijah. Problem optimizacije je bil re{en z implementacijo genetskega algoritma na podlagi omejitev za pove~anje dol`ine {ablone. Ugotovljeno je bilo dobro ujemanje med napovedano in eksperimentalno vrednostjo. Klju~ne besede: termi~no vrtanje, umetna nevronska mre`a, genetski algoritem, galvanizirano jeklo, dol`ina {ablone

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“…Thus, finding the relationships between the strength of spot weld and process parameters is of great interest in related industrial applications. Therefore the tensile-shear loading of the joint in RSW is an important index to welding quality [10].…”

Section: Introductionmentioning

confidence: 99%

Welding Time Effect on Tensile-Shear Loading in Resistance Spot Welding of SPA-H Weathering Steel Sheets Used in Railway Vehicles

Akkaş

2017

Acta Phys. Pol. A

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This paper presents an experimental study on the resistance spot welding of SPA-H weathering steel sheets used in side wall and roof application of rail vehicle bodies. A timer and current controlled resistance spot welding machine having 120 kVA capacity and a pneumatic application mechanism with a single lever were used to prepare the specimens. Welding periods were chosen as 10, 15, 20, 25, and 30 periods (1 period = 0.02 s) and also welding currents were increased from 6 kA up to 11 kA by rises of 0.5 kA. The electrode force was kept constant at 4 kN. The prepared welding specimens were exposed to tensile-shear test and the obtained results were supported by diagrams and, finally, appropriate welding parameters were advised to the users.

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The modeling and process analysis of resistance spot welding on galvanized steel sheets used in car body manufacturing

Cited by 80 publications

References 16 publications

Analysis and Optimization of Process Parameters of Resistance Spot Welding Process Using Response Surface Method-A Review

Analysis and Optimization of Process Parameters of Resistance Spot Welding Process Using Response Surface Method-A Review

Optimum bushing length in thermal drilling of galvanized steel using artificial neural network coupled with genetic algorithm

Welding Time Effect on Tensile-Shear Loading in Resistance Spot Welding of SPA-H Weathering Steel Sheets Used in Railway Vehicles

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