Influence of process parameters on part shrinkage in SLS

Wang, Rongji; Wang, Lingling; Zhao, Liang; Liu, Zijian

doi:10.1007/s00170-006-0490-x

Cited by 107 publications

(54 citation statements)

References 10 publications

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“…Porównano również wartości teoretyczny z wynikami badań eksperymentalnych oraz wyznaczono wytrzymałość mieszków na wewnętrzne ciśnienie rozrywające. Autorzy pracy [6] opisali wpływ poszczególnych parametrów procesu SLS, tzn. mocy lasera, odległości pomiędzy naświetleniami wiązką, grubością warstwy, prędkością oraz rodzajem skanowania, czasu skanowania i temperatury, na wartości skurczu materiału, który ma zasadniczy wpływ na dokładność wymiarową.…”

Section: Wprowadzenieunclassified

Assessment of technological clearance in model of sliding bearing made by SLS technology

Kundera¹,

Kozior²

2015

Mechanik

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Streszczenie: W pracy przedstawiono wyniki pomiarów luzów technologicznych modelowego łożyska ślizgowego wykonanego technologią przyrostową (RP). Celem przeprowadzonych badań była ocena wpływu parametrów procesu technologicznego selektywnego spiekania laserowego, głównie kierunku nakładania warstw, na pole tolerancji wybranych pasowań normalnych układu wałek-tuleja. Próbki wykonane zostały z proszku poliamidowego PA 2200. Proces "wydruku" próbek przebiegał w płaszczyźnie prostopadłej i równoległej do ich osi. Badania obejmowały pomiar średnicy i wyznaczenie odchyłek walcowości, okrągłości i prostoliniowości. Na podstawie wyników badań określono wpływ parametrów procesu SLS na dokładność elementów mechanizmów typu wałek-tuleja. Słowa kluczowe: łożysko ślizgowe, selektywne spiekanie laserowe, luz technologiczny Abstract: The paper presents the results of measurements of technological clearance simple mechanism consisting of a roller and sleeve (sliding bearing type). The aim of the study is to assess the impact of process parameters selective laser sintering, mainly direction the layering sintering on the tolerance of selected normal fit in system roller-sleeve. Samples were made from polyamide powder PA 2200, printing process proceeded in plane perpendicular and parallel to their axis. The study included measurement of diameter, cylindricity, roundness and straightness deviations. Base on the research result, the influence of these parameters of the SLS process on accuracy of the elements of mechanisms type roller-sleeve were determined.

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Section: Wprowadzenieunclassified

Assessment of technological clearance in model of sliding bearing made by SLS technology

Kundera¹,

Kozior²

2015

Mechanik

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“…Wang et al [7] explored the part shrinkage of samples manufactured by Selective Laser Sintering (SLS), by varying seven process parameters. An experimental design approach was used towards SLS of low carbon steel by Chatterjee et al [8], where the parameters used were layer thickness and hatching distance, to consider the effects of density, hardness and porosity of sintered components.…”

Section: Fig1 Schematic Of Dmls Parametersmentioning

confidence: 99%

“…An experimental design approach was used towards SLS of low carbon steel by Chatterjee et al [8], where the parameters used were layer thickness and hatching distance, to consider the effects of density, hardness and porosity of sintered components. Ning et al [9] and Wang et al [7] used models to intelligently select the parameters for modelling the DMLS process. One of the notable studies related to the application of soft computing towards laser sintering included the estimation of build time [10].…”

Section: Fig1 Schematic Of Dmls Parametersmentioning

confidence: 99%

Laser Technology: Modelling

Hinduja

2012

Proceedings of the 37th International MATADOR Conference

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An attempt was made to predict the density and microhardness of a component produced by Laser Sintering of EOS DM20 Bronze material for a given set of process parameters. Neural networks were used for process-based-modelling, and results compared with a Taguchi analysis. Samples were produced using a powder-bed type ALM (Additive Layer Manufacturing)-system, with laser power, scan speed and hatch distance as the input parameters, with values equally spaced according to a factorial design of experiments. Optical Microscopy was used to measure cross-sectional porosity of samples; Micro-indentation to measure the corresponding Vickers' hardness.Two different designs of neural networks were usedCounter Propagation (CPNN) and Feed-Forward Back-Propagation (BPNN) and their prediction capabilities were compared. For BPNN network, a Genetic Algorithm (GA) was later applied to enhance the prediction accuracy by altering its topology. Using neural network toolbox in MATLAB, BPNN was trained using 12 training algorithms. The most effective MATLAB training algorithm and the effect of GA-based optimization on the prediction capability of neural networks were both identified..

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“…Wang [8] analyzed the shrinkage in SLS processes and developed a model for predicting and calibrating the amount of shrinkage in SLS parts. Wang et al [6] performed experimental studies for understanding the effect of process parameters on shrinkage in the SLS process and developed a neural network model based on the experimental results to predict the amount of shrinkage. Senthilkumaran et al [15] developed a dexel based method to estimate shrinkage in polymeric parts manufactured using the SLS process.…”

Section: Introductionmentioning

confidence: 99%

“…Metal based AM processes are able to create very high density metal parts, close to 95% of the theoretical density [2]. The change in phase of the metal from powder to liquid to solid is accompanied by an anisotropic shrinkage in the metal volume [3][4][5][6][7][8]. The nonuniform heating and subsequent cooling of the metal due to the continuous movement of the energy source combined with the process of reheating caused by the hatch overlap, and the deposition of subsequent layers results in temperature gradients within the part in the different directions [2,[9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Effect of Thermal Deformation on Part Errors in Metal Powder Based Additive Manufacturing Processes

Paul

Anand

Gerner

2014

Journal of Manufacturing Science and Engineering

151

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In metal additive manufacturing (AM) processes, parts are manufactured in layers by sintering or melting metat or metal altoy powder under the effect of a powerful taser or an electron beam. As the laser/electron beam scans the powder bed, it melts the powder in successive tracks which overlap each other. This overlap, called the hatch overlap, results in a continuous cycle of rapid melting and resolidiflcation of the metat. The metting of the metal from powder to liquid and subsequent sotidification causes anisotropic shrinkage in the layers. The thermat strains caused by the thermat gradients existing between the different layers and between the layers and the substrate leads to considerabte thermat stresses in the part. As a resutt, stress gradients devetop in the different directions of the part which lead to distortion and warpage in AM parts. The deformations due to shrinkage and thermal stresses have a signiflcant effect on the dimensional inaccuracies of the final part. A three-dimensional thermomechanicat finite etement (EE) modet has been devetoped in this paper which calculates the thermat deformation in AM parts based on slice thickness, part orientation, scanning speed, and materiat properties. The EE modet has been vatidated and benchmarked with resutts atready avaitabte in titerature. The thermat deformation modet is then superimposed with a geometric virtuat manufacturing model of' the AM process to catcutate the form and runout errors in AM parts. Einalty, the errors in the criticat features of the AM parts calculated using the combined thermat deformation and geometric modet are corretated with part orientation and stice thickness.

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Influence of process parameters on part shrinkage in SLS

Cited by 107 publications

References 10 publications

Assessment of technological clearance in model of sliding bearing made by SLS technology

Assessment of technological clearance in model of sliding bearing made by SLS technology

Laser Technology: Modelling

Effect of Thermal Deformation on Part Errors in Metal Powder Based Additive Manufacturing Processes

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