An artificial neural network approach for the control of the laser milling process

Campanelli, Sabina Luisa; Casalino, Giuseppe; Ludovico, Antonio Domenico; Bonserio, C.

doi:10.1007/s00170-012-4457-9

Cited by 45 publications

(29 citation statements)

References 19 publications

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“…Although this kinds of laser source were specifically developed for marking [26], they are so flexible to be adopted in different application, such as: micromachining operations [10,11,13,18] or in surface treatments [27,28,29], nevertheless, here it was adopted because of the good absorption of alumina at the Yb:YAG fundamental wavelength of λ¼1064 nm, the higher pulse power (up to 20 kW), the possibility to have the maximum power (30 W) at all Table 1 Main properties of adopted Al 2 O 3 (declared by the producer).…”

Section: Equipmentmentioning

confidence: 99%

“…no acid, solvent or dielectric oils are required), fine accuracy of machining, even with complex forms, efficient material utilisation and easy automation. Moreover, it is suitable for machine a wide range of materials, including metals [10][11][12], wood [13] polymers [14] and composites [15]. Thanks to its advantage, laser milling is usually adopted in rapid prototyping to produce tools and moulds [16,17], to obtain sensors [18] or microfluidic devices [19].…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, the Material Removal Rate (MRR), the heat affected zone, the surface roughness, as well as, the interaction phenomena occurring during the milling process, strictly depend on the material properties, the laser source characteristics, including the wavelength, and the process parameters [9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Experimental investigation on laser milling of aluminium oxide using a 30W Q-switched Yb:YAG fiber laser

Leone

Genna

Tagliaferri

et al. 2016

Optics & Laser Technology

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Section: Equipmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Experimental investigation on laser milling of aluminium oxide using a 30W Q-switched Yb:YAG fiber laser

Leone

Genna

Tagliaferri

et al. 2016

Optics & Laser Technology

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“…In addition to this, the laser has a higher efficiency thanks to a high stimulated emission cross section. A Nd:YVO 4 single crystal can be used for compact, high-efficiency machining, as compared with a Nd:YAG single crystal 12,13) .…”

Section: Laser Machining Of Y-tzpmentioning

confidence: 99%

A new method for fabricating zirconia copings using a Nd:YVO4 nanosecond laser

et al. 2014

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The purpose of this work was to fabricate zirconia copings from fully sintered Y-TZP blocks using a Nd:YVO 4 nanosecond laser in order to avoid complicated procedures using conventional CAD/CAM systems. To determine the most appropriate power level of a Nd:YVO 4 laser, cuboid fully sintered Y-TZP specimens were irradiated at six different average power levels. One-way ANOVAs for the average surface roughness and laser machining depth revealed that an average power level of 7.5 W generated a smooth machined surface with high machining efficiency. Y-TZP copings were then machined using the proposed method with the most appropriate power level. As the number of machining iterations increased, the convergence angles decreased significantly (p<0.01). The accuracy of the machined copings was judged to be good based on 3D measurements and traditional metal die methods. The proposed method using the nanosecond laser was demonstrated to be useful for fabricating copings from fully sintered Y-TZP.

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“…Campanelli et al [15,16] implemented an Artificial Neural Network and a multi objective statistical optimization on the laser milling of aluminium 5754 using a Nd:YAG laser. In the first model they determined the values of the scan speed and the repetition rate for the preset ablation depth.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization of Laser Milling Parameters of Microcavities for the Manufacturing of DES

Teixidor

Ciurana

Rodrı́guez

2013

Materials and Manufacturing Processes

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This paper presents a multi-objective optimization of the laser milling process of micro-cavities for the manufacturing of drug eluting stents (DES). The diameter, depth and volume error are considered to be optimized in function of the process parameters including laser intensity, pulse frequency and scanning speed. A set of designed experiments is carried out in a pulsed Nd:YAG laser system using 316L Stainless Steel as a work material. Two different geometries are studied, and they are considered as another variable for the model. The multi-objective optimization problem is solved by NSGA-II algorithm, and the non-dominated Pareto-optimal fronts are obtained. The capability of the process to manufacture within a level of error is also investigated. Relative error capability maps for different scale of features are presented.

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An artificial neural network approach for the control of the laser milling process

Cited by 45 publications

References 19 publications

Experimental investigation on laser milling of aluminium oxide using a 30W Q-switched Yb:YAG fiber laser

Experimental investigation on laser milling of aluminium oxide using a 30W Q-switched Yb:YAG fiber laser

A new method for fabricating zirconia copings using a Nd:YVO4 nanosecond laser

Multiobjective Optimization of Laser Milling Parameters of Microcavities for the Manufacturing of DES

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