Inverse analysis of the laser forming process by computational modelling and methods

Carlone, Pierpaolo; Palazzo, Gaetano Salvatore; Pasquino, R.

doi:10.1016/j.camwa.2007.09.003

Cited by 23 publications

(5 citation statements)

References 23 publications

(1 reference statement)

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“…In authors' opinion, being observed damages mainly attributable to thermal gradients and properties' variations, the implementation of a thermomechanical model of the process could provide a better understanding of the process. [24,25] Tracks treated at 1000 mm/min did not show remarkable modification of the titanium layer independently of the TR. In these cases, the residence time at elevated temperature did not appear as sufficient to promote the direct rutile or anatase formation.…”

Section: Resultsmentioning

confidence: 77%

Selective Laser Treatment on Cold-Sprayed Titanium Coatings: Numerical Modeling and Experimental Analysis

Carlone

Astarita

Rubino

et al. 2016

Metall Mater Trans B

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In this paper, a selective laser post-deposition on pure grade II titanium coatings, cold-sprayed on AA2024-T3 sheets, was experimentally and numerically investigated. Morphological features, microstructure, and chemical composition of the treated zone were assessed by means of optical microscopy, scanning electron microscopy, and energy dispersive X-ray spectrometry. Microhardness measurements were also carried out to evaluate the mechanical properties of the coating. A numerical model of the laser treatment was implemented and solved to simulate the process and discuss the experimental outcomes. Obtained results highlighted the key role played by heat input and dimensional features on the effectiveness of the treatment.

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Section: Resultsmentioning

confidence: 77%

Selective Laser Treatment on Cold-Sprayed Titanium Coatings: Numerical Modeling and Experimental Analysis

Carlone

Astarita

Rubino

et al. 2016

Metall Mater Trans B

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“…The developed model was able to predict the bending angle and process parameters within a reasonable accuracy. A computational procedure based on the minimization of a vectorial fitness function was proposed by Carlone et al (2008) for the inverse analysis of laser forming process. The vectorial fitness function was calculated by comparing the target surface with the reference deformed surface.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis and synthesis of laser forming process using neural networks and neuro-fuzzy inference system

2012

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To apply laser forming process in reality, it is required to know the relationships between the deformed shape and scanning paths along with heating conditions. The deformation due to laser scanning depends on various factors, namely laser power, scan speed, spot diameter, scan position, number of scans, and many others. This article presents soft computing-based methods to predict deformations for a set of heating conditions, and also to determine the heating lines and heat conditions, in order to get a desired shape (i.e.

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“…An additional advantage is that theoretical models can be used in reverse analysis in this case to determine critical load conditions. Examples of application of theoretical models can also be found in other works [ 24 , 25 , 26 , 27 , 28 ].…”

Section: Introductionmentioning

confidence: 97%

Fatigue Prediction of Aluminum Alloys Considering Critical Plane Orientation under Complex Stress States

Kurek

2020

Materials

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This publication is intended to present a new way of estimating the fatigue life of various construction materials. Carpinteri’s proposal was modified by replacing the fatigue limits ratio with the value of the normal to shear stress ratio for a given number of cycles. In this study, the proposed criterion and calculation model was verified for the selected group of aluminium alloys. The purpose of the analysis of the experimental studies was to check the effectiveness of the proposed method of estimating fatigue life under the applied bending and torsional load conditions. The results of the fatigue calculations are presented in graphical form by means of diagrams showing the comparison of design and experimental strength. Before fatigue life was calculated, the critical plane orientation according to Carpinteri’s model and the proposed model were determined. After analyzing the results of the comparison of design and experimental durability, it can be stated that the proposed fatigue life estimation algorithm gives satisfactory results for multiaxial cyclic loads.

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Inverse analysis of the laser forming process by computational modelling and methods

Cited by 23 publications

References 23 publications

Selective Laser Treatment on Cold-Sprayed Titanium Coatings: Numerical Modeling and Experimental Analysis

Selective Laser Treatment on Cold-Sprayed Titanium Coatings: Numerical Modeling and Experimental Analysis

Analysis and synthesis of laser forming process using neural networks and neuro-fuzzy inference system

Fatigue Prediction of Aluminum Alloys Considering Critical Plane Orientation under Complex Stress States

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