Ablation threshold estimation for femtosecond pulsed laser machining of AISI 316L

Orlandini, Anneke; Baraldo, Stefano; Porta, Matteo; Valente, Anna

doi:10.1016/j.procir.2022.05.035

Cited by 10 publications

(6 citation statements)

References 10 publications

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“…In general, the distribution of single pulse energy of femtosecond laser obeys Gaussian function; its energy distribution can be written by equations ( 1) and ( 2) [15]. The diameter of laser ablation region can be estimated by equation (3).…”

Section: B Estimation Methods Of Laser Ablation Diametermentioning

confidence: 99%

Reflection Coefficient Estimation of Femtosecond Laser Surface Processing Using Support Vector Regression

Liu

Yang

et al. 2022

IEEE Photonics J.

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An image analysis-based Reflection Coefficient (RC) estimation method of femtosecond laser surface processing for the blackening of X-ray imaging sensor shell is proposed. The Support Vector Regression (SVR) is used for RC computation and both an offline and an online steps are considered in this method. Regarding offline step, the typical laser process parameters are set to perform surface processing and Scanning Electron Microscope (SEM) images are recorded. Then a series of image features are computed and both the computed image features and typical laser parameters are used to train SVR: the training dataset includes the laser line space, laser beam diameter, natural logarithm of laser power divided by laser frequency, and image features of Gray-Level Co-occurrence Matrix (GLCM); the supervising data are laser ablation diameters. As for online step, when SEM image data are recorded after laser processing, the trained SVR is used to predict laser ablation diameter and then the RC can be computed by laser ablation model. Many experiment results have verified the effectiveness of our proposed method, and the RC estimation accuracy can be better than 90.0%.

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Section: B Estimation Methods Of Laser Ablation Diametermentioning

confidence: 99%

Reflection Coefficient Estimation of Femtosecond Laser Surface Processing Using Support Vector Regression

Liu

Yang

et al. 2022

IEEE Photonics J.

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“…where is the single-pulse ablation threshold with a value of 0.61 J/cm 2 , and S is the incubation factor. Taking S as 0.9 [22], the multi-pulse ablation threshold is determined to be 0.48 J/cm 2 .The calculation results for the laser energy density reaching the material valley at a defocus distance of 2000 µm with laser energies ranging from 30 to 34 µJ is shown in Table 3.…”

Section: Picosecond Laser Processingmentioning

confidence: 99%

Ultrafast Laser Asynchronous Processing for Laser Metal Deposition Manufacturing of Ti6Al4V

Song,

Zhou

2024

Preprint

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Additive manufacturing technology has rapidly developed to enable the manufacturing of various complex feature parts. However, parts manufactured through Laser Metal Deposition (LMD) often exhibit poor surface quality with the waviness of significant peak-to-valley distances, making it hard to improve surface quality through laser polishing. This study proposes a surface treatment method using ultrafast laser asynchronous processing to solve the issue of large waviness in Ti6Al4V parts manufactured by LMD, in which rough processing is carried out using picosecond laser with a galvanometer and precision processing is conducted using femtosecond laser with an objective lens. The influence of laser energy, defocus distance, and repetition times on material surface quality is investigated. Using the proper processing parameters, the initial surface with a step of 250 µm can be eliminated, which demonstrates the feasibility of ultrafast laser asynchronous processing in reducing peak-to-valley distance in materials.

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“…The most popular approach to Φ𝑡ℎ and 𝑆 estimation [14] [15] assumes that the beam intensity profile at its waist (𝜔0) is Gaussian, therefore…”

Section: Introductionmentioning

confidence: 99%

“…where 𝑁 is the number of pulses acting on the same spot. For the sake of compactness, instead of writing two different linear regression models [14], [15], it is possible to formulate equations (3)-( 4), in a comprehensive way [16] as follows:…”

Section: Introductionmentioning

confidence: 99%

“…Ablation tests have been conducted on all metals to understand their ablation threshold fluence and incubation factor. The ablation threshold was estimated using the Two-Temperature model, following the procedure by Orlandini et al [15]. Using this threshold value, initial process parameters were set to initiate the welding experimental phase, testing various fluence values.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optical parameters impact on glass-to-metal welding

Impaziente,

Porta,

Torre

et al. 2024

Laser-Based Micro- And Nanoprocessing XVIII

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This study investigates the relationship between a material's ablation threshold and the quality of metal-to-glass weld. Our analysis demonstrates that materials with lower ablation thresholds demand less radiation energy for achieving maximum shear stress, indicating a potential link to the quality of metal-to-glass welds. The findings suggest that Alloy 36, due to its high ablation threshold and relatively low melting temperature, holds promise for enabling stronger and more enduring metal-to-glass connections. In the present work, a weld resistant to shear stress up to 5MPa was achieved with Alloy 36 and both fused silica and borosilicate glass. The latter holds promise for industrial exploitation due to the very similar coefficient of thermal expansion between the glass and the metal.

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Ablation threshold estimation for femtosecond pulsed laser machining of AISI 316L

Cited by 10 publications

References 10 publications

Reflection Coefficient Estimation of Femtosecond Laser Surface Processing Using Support Vector Regression

Reflection Coefficient Estimation of Femtosecond Laser Surface Processing Using Support Vector Regression

Ultrafast Laser Asynchronous Processing for Laser Metal Deposition Manufacturing of Ti6Al4V

Optical parameters impact on glass-to-metal welding

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