Numerical and experimental study on multi-pass laser bending of AH36 steel strips

Fetene, Besufekad N.; Kumar, Vikas Pashanth; Dixit, Uday S.; Echempati, Raghu

doi:10.1016/j.optlastec.2017.09.014

Cited by 41 publications

(8 citation statements)

References 25 publications

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“…The heat ux distribution is modeled according to Eq. ( 2), based on the continuous wave Gaussian distribution heat source [29], [30].…”

Section: Assumptionsmentioning

confidence: 99%

Influence of laser beam process parameters on the bending ability of Ti-6Al-4V titanium alloy sheets

Naqvi,

Haidry,

Xie

et al. 2023

Preprint

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Laser bending is a flexible technique that requires no external tools for the bending and shaping of metallic components. It utilizes a laser heat source to achieve the desired shapes due to thermally induced stresses inside the metallic sheets. Examining the impact of process variables on the bending angle deformation is very important to achieve the required shapes. This work presents, the numerical and experimental analysis of the bending behaviors of Ti-6Al-4V titanium alloy sheets under the constant line energy concept. The numerical simulations for the laser bending method have been developed through Abaqus to examine the transient temperature fields, thermal stress, and strain characteristics. Furthermore, the experimental analysis has been compared with the numerical simulation analysis to observe the consequences of variation in process parameters such as laser powers and scanning speeds on the bending capability. In addition, the influence of process parameters on the surface morphology of the laser-scanned Ti-6Al-4V alloy specimens has been observed by scanning electron microscope (SEM). The findings show that the bending angle extent is directly related to the simultaneous increment in laser power and scanning velocity. An increase in line energy value shows a significant enhancement in bending angle. The laser-induced heat flux, beam interaction time, and temperature gradient at high laser powers and high scanning speeds are significant factors that are responsible for the extent of bending of sheets. Moreover, melting and thermal oxidation have been observed during the (SEM) analysis at high laser power. The numerical simulation and experimental outcomes are helpful for the selection of optimum process conditions in the laser bending method of Ti-6Al-4V alloy sheets.

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“…The heat ux distribution is modeled according to Eq. ( 2), based on the continuous wave Gaussian distribution heat source [29], [30].…”

Section: Assumptionsmentioning

confidence: 99%

Influence of laser beam process parameters on the bending ability of Ti-6Al-4V titanium alloy sheets

Naqvi,

Haidry,

Xie

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Steel alloys are the most common materials in published research [13][14][15][16]. Aluminum alloys, titanium, and magnesium are other common materials [4,8,[17][18][19][20][21][22][23][24][25]. The main differences of different materials types are the melting temperature, mechanical properties variation by temperature, the heat conductivity of the material, and laser beam absorption.…”

Section: Laser Bending Of Monolithic Sheetsmentioning

confidence: 99%

Recent Advances in the Laser Forming Process: A Review

Safari

Sousa

Joudaki

2020

Metals

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Laser forming is an emerging manufacturing process capable of producing either uncomplicated and complicated shapes by employing a concentrated heating source. The heat source movement creates local softening, and a plastic strain will be induced during the rise of temperature and the subsequent cooling. This contactless forming process may be used for the simple bending of sheets and tubes or fabrication of doubly-curved parts. Different studies have been carried out over recent years to understand the mechanism of forming and predicting the bending angle. The analysis of process parameters and search for optimized manufacturing conditions are among the most discussed topics. This review describes the main recent findings in the laser forming of single and multilayer sheets, composite and fiber-metal laminate plates, force assisted laser bending, tube bending by laser beam, the optimization technique implemented for process parameters selection and control, doubly-curved parts, and the analytical solutions in laser bending. The main focus is set to the researches published since 2015.

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“…The PSO optimization helped to determine values for the material specification (density, yield stress, elastic modulus, specific heat, and coefficient of thermal expansion (CTE)) such that the effect of the temperature increase was included in the analytical model. Fetene et al [11] studied the effects of the width and thickness of the sheet in laser bending AH36 steel. The effect of process variables (scanning speed, laser power, laser beam diameter, thickness, width of strip, and the number of passes) was investigated using Taguchi's L27 array.…”

Section: Introductionmentioning

confidence: 99%

Developing a Support Vector Regression (SVR) Model for Prediction of Main and Lateral Bending Angles in Laser Tube Bending Process

2023

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The laser tube bending process (LTBP) is a new and powerful manufacturing method for bending tubes more accurately and economically by eliminating the bending die. The irradiated laser beam creates a local plastic deformation area, and the bending of the tube occurs depending on the magnitude of the heat absorbed by the tube and its material characteristics. The main bending angle and lateral bending angle are the output variables of the LTBP. In this study, the output variables are predicted by support vector regression (SVR) modeling, which is an effective methodology in machine learning. The SVR input data is provided by performing 92 experimental tests determined by the design of the experimental techniques. The measurement results are divided into two sub-datasets: 70% for the training dataset, and 30% for the testing dataset. The inputs of the SVR model are process parameters, which can be listed as the laser power, laser beam diameter, scanning speed, irradiation length, irradiation scheme, and the number of irradiations. Two SVR models are developed for the prediction of the output variables separately. The SVR predictor achieved a mean absolute error of 0.021/0.003, a mean absolute percentage error of 1.485/1.849, a root mean square error of 0.039/0.005, and a determination factor of 93.5/90.8% for the main/lateral bending angle. Accordingly, the SVR models prove the possibility of applying SVR to the prediction of the main bending angle and lateral bending angle in LTBP with quite an acceptable accuracy.

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Numerical and experimental study on multi-pass laser bending of AH36 steel strips

Cited by 41 publications

References 25 publications

Influence of laser beam process parameters on the bending ability of Ti-6Al-4V titanium alloy sheets

Influence of laser beam process parameters on the bending ability of Ti-6Al-4V titanium alloy sheets

Recent Advances in the Laser Forming Process: A Review

Developing a Support Vector Regression (SVR) Model for Prediction of Main and Lateral Bending Angles in Laser Tube Bending Process

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