Prediction of weld strength and seam width for laser transmission welding of thermoplastic using response surface methodology

Acherjee, Bappa; Misra, Dipten; Bose, D. N.; Venkadeshwaran, K.

doi:10.1016/j.optlastec.2009.04.007

Cited by 125 publications

(55 citation statements)

References 17 publications

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“…Benyounis et al [2], Wu et al [3] Part-to-part gap Weld depth, weld width, and concavity Zhao et al [9] Laser power, welding speed, focal position, and shielding gases Static tensile strength Mei et al [10] Shielding gases Tensile strength and widths of heat-affected zone Chen et al [11], Yang et al [12] Clamp pressure Lap shear strength and weld seam width Acherjee et al [13], Anawa et al [14] What makes laser welding more complex is that part-to-part gaps are very often non-uniform, as shown in Figure 1. Owing to the non-uniformity, elevation and depression angles always exist throughout the gap, creating ascending, descending, and flat travelling paths for laser welding from the perspective of the direction of the laser beam.…”

Section: Major Process Parameters Laser Welding Quality Referencesmentioning

confidence: 99%

The Effects of Laser Welding Direction on Joint Quality for Non-Uniform Part-to-Part Gaps

Kim

Ceglarek

2016

Metals

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Abstract:Controlling part-to-part gaps is a crucial task in the laser welding of galvanized steel sheets for ensuring the quality of the assembly joint. However, part-to-part gaps are frequently non-uniform. Hence, elevations and depressions from the perspective of the heading direction of the laser beam always exist throughout the gap, creating ascending, descending, and flat travelling paths for laser welding. In this study, assuming non-uniform part-to-part gaps, the effects of welding direction on the quality of the joint of galvanized steel sheets-SGARC440 (lower part) and SGAFC590DP (upper part)-were examined using 2-kW fiber and 6.6-kW disk laser welding systems. The experimental analysis of coupon tests confirmed that there is no statistically significant correlation between the direction of welding and weld pool quality if the gap exceeds the tolerable range. However, when the gap is controlled within the tolerable range, the welding direction can be considered as an important process control variable to enhance the quality of the joint.

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Section: Major Process Parameters Laser Welding Quality Referencesmentioning

confidence: 99%

The Effects of Laser Welding Direction on Joint Quality for Non-Uniform Part-to-Part Gaps

Kim

Ceglarek

2016

Metals

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“… The best nests with high-quality eggs will be carried over to the next generations.  The number of available host nests is fixed, and the egg laid by a cuckoo is discovered by the host bird with a probability P a [0,1]. In this case, the host bird can either get rid of the egg or simply abandon the nest and build a completely new nest.…”

Section: B Cuckoo Search Algorithmmentioning

confidence: 99%

“…Clamp pressure ensures good contact between the parts to be welded. This enhances the conduction of heat from the absorptive material to the transparent part and also promotes the molten fluid flow, required for intermixing and cross linking of the polymer chains to combine towards weld formation [1].…”

Section: Optimization Using Cuckoo Search Algorithmmentioning

confidence: 99%

“…The basic principle of laser transmission welding (LTW) is to create a reliable joint between two overlapping thermoplastic parts by transmitting a laser beam through a laser-transparent part and welding at the interface with the laser-absorbing part [1]. Unlike the standard welding processes where the energy is applied at the surface of the materials, laser transmission welding aims to apply the energy in between two plastic pieces at their interface.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Process Parameters Selection of Laser Transmission Welding of Polycarbonate Using Cuckoo Search Algorithm

2016

Arimpie - 2016

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Abstract-In present work laser transmission welding of polycarbonate is investigated and optimized using cuckoo search algorithm (CSA) incorporation with response surface methodology (RSM). Objectives are set to obtain higher weld strength as well as lower weld width to achieve better product quality. Parametric optimizations are carried out using CSA, in which the objective functions are developed using RSM. Results show that CSA gives comparatively better results than conventional optimization techniques. This is because of the fact that CSA can locate the global optima, as no parameters are held constant during the optimization process. This algorithm is also found to be capable of predicting accurate trends of the parametric effects of laser transmission welding of polycarbonate.

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“…In additional, the cost for experiment is expensive and inappropriate to apply for state-of-the-art current technology. Bappa Acherjee et al [6] used response surface methodology to predict weld strength and seam width for laser transmission welding of thermoplastic. D. J. Radakovic and M. Tumuluru [7] used finite element modeling and fracture mechanics calculations to predict the resistance spot weld failure mode and loads in shear-tension tests of advanced high-strength steels (AHSS).…”

Section: Related Workmentioning

confidence: 99%

Weldability Prediction of AHSS Stackups Using Support Vector Machines

Tran¹,

Kim²,

Yang³

2014

IJCEE

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Abstract-Resistance welding is the most commonly used method for joining purpose of steel sheets. Aims to increase efficiency and maintain or reduce the weight of vehicles, Advanced High Strength Steels (AHSS) have been used to build up material for vehicle structures. This research aims to exploit the ability of prediction by using Support Vector Machines (SVM) and comparing to Artificial Neural Network (ANN) model. The experiment result showed that Support Vector Machines has a positive and better predict result compared to ANN. The predict accuracy of SVM is 92% while ANN shows 88.9%.

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Prediction of weld strength and seam width for laser transmission welding of thermoplastic using response surface methodology

Cited by 125 publications

References 17 publications

The Effects of Laser Welding Direction on Joint Quality for Non-Uniform Part-to-Part Gaps

The Effects of Laser Welding Direction on Joint Quality for Non-Uniform Part-to-Part Gaps

Optimal Process Parameters Selection of Laser Transmission Welding of Polycarbonate Using Cuckoo Search Algorithm

Weldability Prediction of AHSS Stackups Using Support Vector Machines

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