A review of incorporating Nd:YAG laser cleaning principal in automotive industry

Razab, Mohammad Khairul Azhar Abdul; Noor, An’amt Mohamed; Jaafar, Mohamad Suhaimi; Abdullah, Nor Hakimin; Suhaimi, Fatanah M.; Marrakchi, M.; Adam, Noraina; Yusuf, Nik Alnur Auli Nik

doi:10.1016/j.jrras.2018.08.002

Cited by 62 publications

(21 citation statements)

References 64 publications

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“…The roughness measurements on all surfaces showed great uncertainty. However, the formation of a significant HAZ is to be expected with the use of a Nd:YAG laser [ 31 ]. As previously reported for a similar solid-state, nanosecond laser, the HAZ can reach a size of up to tens of micrometers [ 32 ].…”

Section: Discussionmentioning

confidence: 99%

Investigation of Multiparameter Laser Stripping of AlTiN and DLC C Coatings

et al. 2021

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The lifetime and properties of cutting tools and forming moulds can be prolonged and enhanced by the deposition of hard, thin coatings. After a certain period of usage, the coating will deteriorate. Any remaining coating must be removed prior to successful recoating. Laser stripping is a fast and environmentally friendly coating removal method. In this paper, we present laser removal of two types of coatings deposited on a 1.2379 tool steel substrate, namely, an AlTiN coating with high hardness and a DLC C coating with a small coefficient of friction (COF). A powerful nanosecond laser was employed to remove the coating from the substrate with high efficiency, along with suitable residual surface roughness. Measurements were taken of surface roughness, removed depth, and working time on a stripped area of 1 cm2. The samples were evaluated under a microscope, with a 3D profilometer, and by EDS chemical analysis. Successful removal of the coating was confirmed by optical analysis, but detailed chemical characterisation showed that about 30% of the coating element may remain on the surface. Moreover, a working time of less than 7.5 s per cm2 was obtained in this study. In addition, it was shown that the application of a second low energy, high frequency laser beam pass leads to remelting of the peaks of the material and reduced surface roughness.

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Section: Discussionmentioning

confidence: 99%

Investigation of Multiparameter Laser Stripping of AlTiN and DLC C Coatings

et al. 2021

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“…Laser ablation of paints is a complex process that is influenced by some basic factors. They are in complex relationships with each other and both the specific influence of each factor and the complex influence of the main factors must be studied [4], [20], [25 -27].…”

Section: -Mobilitymentioning

confidence: 99%

“…The substrate below the coating that is targeted for removal is protected from damage by keeping the laser energy density below the damage threshold. The laser ablation process is shown schematically in Figure 1 [23], [20]. In the publications of a number of authors the process of laser ablation of paint from metal surfaces is considered and researched.…”

Section: Presentationmentioning

confidence: 99%

Laser Ablation of Paint Coatings in Industry

Lazov

Angelov

Teirumnieks

et al. 2021

ETR

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A comparison is made between the laser and sandblasting methods for removing paint from industrial facilities. The advantages of laser ablation are discussed. The possibilities of laser paint removal systems - stationary and moving - are shown. The main factors influencing the laser ablation process and the indicators that determine the quality of the obtained surface are systematized. Researchers' publications on this technological process are analyzed.

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“…The associate editor coordinating the review of this manuscript and approving it for publication was Utku Kose. the laser cleaning includes the dry cleaning [5] and the steam cleaning [6]. The former eliminates the reminders by changing the physical states of particles on the surface of workpiece and conquering their adhesive forces; while the latter removes the reminders by gasifying the injected surface liquid which can take away the redundant particles.…”

Section: Introductionmentioning

confidence: 99%

Automatic Process Parameters Tuning and Surface Roughness Estimation for Laser Cleaning

Liu

Yang

et al. 2020

IEEE Access

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An image analysis-based two-stage process parameters tuning and Surface Roughness (SR) estimation algorithm is proposed for the laser cleaning application. A Cartesian coordinate robot is utilized to collect image and implement cleaning. Before cleaning, in order to tune the proper laser parameters, first, the environment lighting is controlled for the metal image collection. Second, lots of classification features are computed for the images above. The Gray-Level Co-occurrence Matrix (GLCM) texture features, the concavo-convex region features, the histogram symmetry difference feature, and the imaging thermophysical property features are computed. Third, the initial laser parameters are created randomly and an iteration computation is performed: a Support Vector Machine (SVM) is used to forecast the cleaning effect; its inputs include the classification features and the initial laser parameters; its output is the cleaning effect degree. If the SVM output cannot fulfill user's demand, the laser parameters will be updated randomly. This iteration will be implemented constantly until the SVM output becomes valid. Then the laser cleaning will be performed. When estimating SR for the cleaned metal, multiple image features are calculated for the images after cleaning. The features include the Tamura coarseness, some GLCM features, and the convex region feature. To improve the prediction precision, different feature combinations are used for different cleaning effects. The linear function and the 3-order polynomial function are considered for the SR estimation. After tests, the accuracies of SVM, the SR prediction function, and the integrated SR control and estimation algorithm can be 90.0%, 80.0% and 80.0% approximately.

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A review of incorporating Nd:YAG laser cleaning principal in automotive industry

Cited by 62 publications

References 64 publications

Investigation of Multiparameter Laser Stripping of AlTiN and DLC C Coatings

Investigation of Multiparameter Laser Stripping of AlTiN and DLC C Coatings

Laser Ablation of Paint Coatings in Industry

Automatic Process Parameters Tuning and Surface Roughness Estimation for Laser Cleaning

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