Laser parameters optimization of surface treating of Al 6082-T6 with Taguchi method

Canel, Timur; Zeren, Muzaffer; Sınmazçelik, Tamer

doi:10.1016/j.optlastec.2019.105714

Cited by 34 publications

(20 citation statements)

References 34 publications

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“…The effects of parameters on the machined surface structure were studied, and the impact levels were determined. Laser pulse energy, duration, spot size and gas type are the key process parameters to obtain the machined product properties such as appearance, depth, width, amount of vaporized material and minimum defect [21,23,32,33].…”

Section: Experimental Design According To Taguchi Methodsmentioning

confidence: 99%

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Laser parameter optimization for surface texturing of inconel 625

Fi̇dan

Canel

Sınmazçelik

2021

Materialwissenschaft Werkst

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The optimum laser parameters required for the inconel 625 alloy surfaces to have the desired properties have been determined. Process parameters were optimized to get maximum heat affected zone depth (HAZ) and width and maximum aspect ratio and minimum defect outside of the spot area independently of each other. Also, the effect rates of the examined process parameters on the treated surface quality were determined separately for each surface feature. As a result of optimization using Taguchi method, the most effective parameters to obtain the desired surface were obtained as gas type with 72.26 % for heat affected zone depth, gas type with 90.46 % for heat affected zone width, gas type with 81.57 % for aspect ratio, pulse energy with 30.99 % for minimum defect outside of the spot area. The best results were obtained on the surfaces obtained as a result of the confirmation experiment with the new parameters obtained with the Taguchi method. Since the results of the confirmation experiments are highly compatible with the results suggested by the Taguchi method, the Taguchi method may be concluded as reliable in the laser ablation of the inconel 625 surface.

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Section: Experimental Design According To Taguchi Methodsmentioning

confidence: 99%

“…The targeted numerical and undesired results are represented as a signal and noise respectively. It has been proven to be reliable and reduces the experimental costs in many optimizations made with Taguchi method [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Laser parameter optimization for surface texturing of inconel 625

Fi̇dan

Canel

Sınmazçelik

2021

Materialwissenschaft Werkst

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“…Taguchi orthogonal array become a valuable method for designing experiments to analyze quality characteristics and useful tool for obtaining highly reliable results, especially when the objective is the reduction of material cost and time [ 18 , 28 ]. Butt weld joints with single-V, square joint, double-V groove types are frequently adopted when the goal is a smooth surface.…”

Section: Experimental Designmentioning

confidence: 99%

An Integrated Approach of GRA Coupled with Principal Component Analysis for Multi-Optimization of Shielded Metal Arc Welding (SMAW) Process

et al. 2020

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Welding distortion is a critical issue as it leads to severe deterioration of structural integrity of welded work piece and dimensional precision. This study aims at studying the effects of shielded metal arc welding (SMAW) parameters on the evolution of mechanical properties, including tensile strength, impact toughness, and hardness, along with angular distortion on a welded joint from SA 516 grade 70. Such parameters are analyzed and optimized by employing the Taguchi method and Grey relational analysis. SA 516 grade 70 is commercially used for fabrication of storage tanks, boilers and pressure vessels. SMAW is investigated with three levels of root gap, groove angle, electrode diameter, and pre-heat temperature, which were varied on a butt joint in flat (1 G) position to determine their effects on response variables at room temperature. Nine experiments were designed using a Taguchi L9 orthogonal array, welded according to American Society of Mechanical Engineers (ASME) section IX, and samples were prepared and tested as per ASTM A 370. The Taguchi method and Grey relational analysis were employed to observe the most significant parameters and optimal levels that synergically yield improved responses. Results are validated by conducting confirmatory experiments that show good agreement with optimum results.

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“…The Taguchi method is widely used for statistical analysis, and has been effectively used to help design experiments and obtain highly reliable results in studies. To optimize factors that affect the performance characteristics of a process or system, the Taguchi method reduces time and material costs [14]. The 2D CNN contains three convolutional, three max-pooling, and two fully-connected layers, and has the same deep learning architecture, but using a 2D CNN single view to train a large number of parameters might produce unstable predictions [15].…”

Section: Introductionmentioning

confidence: 99%

Using 2D CNN with Taguchi Parametric Optimization for Lung Cancer Recognition from CT Images

2020

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Lung cancer is one of the common causes of cancer deaths. Early detection and treatment of lung cancer is essential. However, the detection of lung cancer in patients produces many false positives. Therefore, increasing the accuracy of the classification of diagnosis or true detection by computed tomography (CT) is a difficult task. Solving this problem using intelligent and automated methods has become a hot research topic in recent years. Hence, we propose a 2D convolutional neural network (2D CNN) with Taguchi parametric optimization for automatically recognizing lung cancer from CT images. In the Taguchi method, 36 experiments and 8 control factors of mixed levels were selected to determine the optimum parameters of the 2D CNN architecture and improve the classification accuracy of lung cancer. The experimental results show that the average classification accuracy of the 2D CNN with Taguchi parameter optimization and the original 2D CNN in lung cancer recognition are 91.97% and 98.83% on the Lung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI) dataset, and 94.68% and 99.97% on the International Society for Optics and Photonics with the support of the American Association of Physicists in Medicine (SPIE-AAPM) dataset, respectively. The proposed method is 6.86% and 5.29% more accurate than the original 2D CNN on the two datasets, respectively, proving the superiority of proposed model.

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Laser parameters optimization of surface treating of Al 6082-T6 with Taguchi method

Cited by 34 publications

References 34 publications

Laser parameter optimization for surface texturing of inconel 625

Laser parameter optimization for surface texturing of inconel 625

An Integrated Approach of GRA Coupled with Principal Component Analysis for Multi-Optimization of Shielded Metal Arc Welding (SMAW) Process

Using 2D CNN with Taguchi Parametric Optimization for Lung Cancer Recognition from CT Images

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