Investigation on laser forming of stainless steel sheets under coupling mechanism

Chakraborty, Shitanshu Shekhar; Maji, Kuntal; Racherla, Vikranth; Nath, Ashish Kumar

doi:10.1016/j.optlastec.2015.02.013

Cited by 28 publications

(5 citation statements)

References 36 publications

(43 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The demonstrated results make clear the fact that the absorptivity changes due to multiple laser processing or heat treatments are not negligible. Therefore, using an adaptive absorption coefficient would be beneficial for several processes, such as laser bending (e.g., Reference [15]), forming simulations (e.g., Reference [3]), or laser-assisted incremental forming of several metals like magnesium (e.g., Reference [22]) or titanium (e.g., Reference [24]).…”

Section: Discussionmentioning

confidence: 99%

“…Shi et al described a coupling mechanism as a combination of the temperature gradient and upsetting mechanisms [14]. Charkraborty et al presented a scan strategy for laser forming of pillow shapes by using combinations of the temperature gradient and coupling mechanism [15]. For their investigations, they estimated absorptivity by measuring reflected laser radiation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Determining Absorptivity Variations of Multiple Laser Beam Treatments of Stainless Steel Sheets

Kügler

Vollertsen

2018

JMMP

View full text Add to dashboard Cite

The absorptivity of laser radiation of metals is investigated in several studies. Therefore, absorption coefficients depending on temperature or roughness are known. However, many processes use iterative processing strategies, such as additive manufacturing, laser beam bending, or laser-assisted incremental forming. Simulations of these processes often use literature data for absorption coefficients and do not consider the variation of absorptivity during the process. In this study, the influences of multiple laser beam processing on absorptivity are investigated for stainless steel sheets. Absorption and roughness measurements are compared before and after heating treatments with the laser beam or in an oven. It is shown that an increasing amount of laser heating cycles correlates with higher absorptivity and higher roughness values. However, this increase of roughness is not considered to be sufficient for enhanced absorptivity. On the one hand, similar changes of absorptivity were detected when heating steel sheets in an oven. These oven-heated specimens do not show extensive roughness changes. On the other hand, the same amount of laser heating cycles with additional cool down time after each cycle results in a negligible absorptivity change. Therefore, the variation of the absorptivity is attributed to oxidation.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determining Absorptivity Variations of Multiple Laser Beam Treatments of Stainless Steel Sheets

Kügler

Vollertsen

2018

JMMP

View full text Add to dashboard Cite

show abstract

“…Uniform heat flux of value equal to the average absorbed laser intensity over the circular spot was input to simulate laser irradiation. For comparison a separate set of simulations were carried out with approximated non-uniform intensity distribution of the laser beam as reported in [11] with the help of DFLUX subroutine. The intensity distribution is shown in Fig.…”

Section: Finite Element Simulationmentioning

confidence: 99%

“…However, to establish the validity of this assumption, three dimensional FE simulations have also been performed. To see the effect of intensity distribution of the laser beam on temperature distribution as well as deformation, axisymmetric FE analyses have been carried out considering the uniform intensity distribution as well as approximated nonuniform intensity distribution of the laser beam used, as reported in [11].…”

Section: Introductionmentioning

confidence: 99%

Laser forming of a bowl shaped surface with a stationary laser beam

Chakraborty

Nath

2016

Optics and Lasers in Engineering

View full text Add to dashboard Cite

“…Laser forming continues to be a promising technology in manufacturing due to its fast speed, flexibility, and low-cost [11,12]. In laser forming of three-dimensional surfaces, simultaneous bending and thickening of the sheet being formed are often required [13,14].…”

Section: Introductionmentioning

confidence: 99%

Management of Total Entrepreneurial Activity by Adaptive Neuro-Fuzzy Technique

Janković¹,

Jović²,

Đokić³

2018

J. Prod. Eng.

View full text Add to dashboard Cite

Adaptive neuro fuzzy network or ANFIS could be used for different aspects of prediction during productive development. In this study ANFIS network was appliced for prediction of bending and thickness of shaped surface by laser formation. Laser manufacturing represent imporant part in new productive development. Shaped surface modeling by laser forming process needs many irradiations along surface paths with different parameters of heating. This surface requires thickening and bending in order to get required shapes. In this study was attempted to analyze the process parameters influence on the bending and thickening of the shaped surface by laser. The used inputs were circular and radial laser scan, laser spot diameter, laser power and scan speed. The selection procedure can produce results to simplify the shaped surface forming. Finally it was attamted to determine how services as added values have infleunce on the enterpreneusthip activity for laser manufacturing business.

show abstract

Investigation on laser forming of stainless steel sheets under coupling mechanism

Cited by 28 publications

References 36 publications

Determining Absorptivity Variations of Multiple Laser Beam Treatments of Stainless Steel Sheets

Determining Absorptivity Variations of Multiple Laser Beam Treatments of Stainless Steel Sheets

Laser forming of a bowl shaped surface with a stationary laser beam

Management of Total Entrepreneurial Activity by Adaptive Neuro-Fuzzy Technique

Contact Info

Product

Resources

About