High power diode laser surface hardening of AISI 4130; statistical modelling and optimization

Moradi, Mahmoud; Moghadam, Mojtaba Karami

doi:10.1016/j.optlastec.2018.10.043

Cited by 68 publications

(33 citation statements)

References 20 publications

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“…The purpose of this method is to find a logical mathematical relationship between input and output variables. When all autonomous variables can be measured during a study, the response surface is to be asserted as a function by Equation (1) [43][44][45][46]:…”

Section: Experimental Design and Methodologymentioning

confidence: 99%

Post-Processing of FDM 3D-Printed Polylactic Acid Parts by Laser Beam Cutting

et al. 2020

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In this paper, the post-processing of 3D-printed poly lactic acid (PLA) parts is investigated. Workpieces are manufactured by fused deposition modeling (FDM) 3D printing, while they may have defects in some areas such as edges. A post-processing is introduced here for 3D-printed samples by low power CO2 laser. The thickness of the FDM samples are 3.2 mm and printed by optimum conditions. Effects of process parameters such as focal plane position (−3.2–3.2 mm), laser power (20–40 W), and laser cutting speed (1–13 mm/s) are examined based on the design of experiments (DOE). Geometrical features of the kerf; top and bottom kerf; taper; ratio of top to the bottom kerf are considered as output responses. An analysis of the experimental results by statistical software is conducted to survey the effects of process parameters and to obtain regression equations. By optimizing of the laser cutting process; an appropriate kerf quality is obtained and also optimum input parameters are suggested. Experimental verification tests show a good agreement between empirical results and statistical predictions. The best optimum sample with 1.19 mm/s cutting speed, 36.49 W power and 0.53 mm focal plane position shows excellent physical features after the laser cutting process when 276.9 μm top and 261.5 μm bottom kerf width is cut by laser.

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Section: Experimental Design and Methodologymentioning

confidence: 99%

Post-Processing of FDM 3D-Printed Polylactic Acid Parts by Laser Beam Cutting

et al. 2020

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“…In particular, the scan speed (i.e., peripheral speed) is calculated as the product between the rotational speed and the radius of the samples middle section. The laser focus and the number of passes were fixed, respectively, at 0 and 1, because defocusing the laser beam and increasing the number of times that the laser passed on the treated area reduced the resulting hardness [19,28,29]. For each condition investigated, i.e., 5 terms of P × 5 terms of Ss, the rotational speed and the beam feed were properly chosen to ensure no overlap in the laser scans during the thermal treatment, and therefore only one pass [29].…”

Section: Methodsmentioning

confidence: 99%

“…But this introduces additional costs to the process both for its application and the subsequent removal. However, the use of high-power diode lasers avoids coating the surface of the workpiece because they produce wavelengths in which metals show greater absorptivity [17,19,20].…”

Section: Introductionmentioning

confidence: 99%

An Optimal Genetic Algorithm for Fatigue Life Control of Medium Carbon Steel in Laser Hardening Process

2020

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This study proposes a genetic algorithm-optimized model for the control of the fatigue life of AISI 1040 steel components after a high-power diode laser hardening process. First, the effect of the process parameters, i.e., laser power and scan speed, on the fatigue life of the components after the laser treatment was evaluated by using a rotating bending machine. Then, in light of the experimental findings, the optimization model was developed and tested in order to find the best regression model able to fit the experimental data in terms of the number of cycles until failure. The laser treatment was found to significantly increase the fatigue life of the irradiated samples, thus revealing its suitability for industrial applications. Finally, the application of the proposed genetic algorithm-based method led to the definition of an optimal regression model which was able to replicate the experimental trend very accurately, with a mean error of about 6%, which is comparable to the standard deviation associated with the process variability.

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“…Always, time and accuracy are the most important factors for engineering appliances [1][2][3][4]. Recently, novel manufacturing methods are enabled to solve many long-term processes, such as molding and casting [5].…”

Section: Introductionmentioning

confidence: 99%

The Synergic Effects of FDM 3D Printing Parameters on Mechanical Behaviors of Bronze Poly Lactic Acid Composites

et al. 2020

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In this paper, the influence of layer thickness (LT), infill percentage (IP), and extruder temperature (ET) on the maximum failure load, thickness, and build time of bronze polylactic acid (Br-PLA) composites 3D printed by the fused deposition modeling (FDM) was investigated via an optimization method. PLA is a thermoplastic aliphatic polyester obtained from renewable sources, such as fermented plant starch, especially made by corn starch. The design of experiment (DOE) approach was used for optimization parameters, and 3D printings were optimized according to the applied statistical analyses to reach the best features. The maximum value of failure load and minimum value of the build time were considered as optimization criteria. Analysis of variance results identified the layer thickness as the main controlled variable for all responses. Optimum solutions were examined by experimental preparation to assess the efficiency of the optimization method. There was a superb compromise among experimental outcomes and predictions of the response surface method, confirming the reliability of predictive models. The optimum setting for fulfilling the first criterion could result in a sample with more than 1021 N maximum failure load. Finally, a comparison of maximum failure from PLA with Br-PLA was studied.

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High power diode laser surface hardening of AISI 4130; statistical modelling and optimization

Cited by 68 publications

References 20 publications

Post-Processing of FDM 3D-Printed Polylactic Acid Parts by Laser Beam Cutting

Post-Processing of FDM 3D-Printed Polylactic Acid Parts by Laser Beam Cutting

An Optimal Genetic Algorithm for Fatigue Life Control of Medium Carbon Steel in Laser Hardening Process

The Synergic Effects of FDM 3D Printing Parameters on Mechanical Behaviors of Bronze Poly Lactic Acid Composites

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