Selective laser sintering: A qualitative and objective approach

Kumar, Sanjay

doi:10.1007/s11837-003-0175-y

Cited by 322 publications

(172 citation statements)

References 68 publications

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“…Figure 2. Finite element analysis steps in additive manufacturing processes [67][68][69][70][71][72][73][74][75][76].…”

Section: Finite Element Analysismentioning

confidence: 99%

Integration of physically-based and data-driven approaches for thermal field prediction in additive manufacturing

Jin

2018

Materials & Design

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A quantitative understanding of thermal field evolution is vital for quality control in additive manufacturing (AM). Because of the unknown material parameters, high computational costs, and imperfect understanding of the underlying science, physically-based approaches alone are insufficient for component-scale thermal field prediction. Here, I present a new framework that integrates physically-based and data-driven approaches with quasi in situ thermal imaging to address this problem. The framework consists of (i) thermal modeling using 3D finite element analysis (FEA), (ii) surrogate modeling using functional Gaussian process, and (iii) Bayesian calibration using the thermal imaging data. Based on heat transfer laws, I first investigate the transient thermal behavior during AM using 3D FEA. A functional Gaussian process-based surrogate model is then constructed to reduce the computational costs from the high-fidelity, physically-based model. I finally employ a Bayesian calibration method, which incorporates the surrogate model and thermal measurements, to enable layer-to-layer thermal field prediction across the whole component. A case study on fused deposition modeling is conducted for components with 7 to 16 layers. The cross-validation results show that the proposed framework allows for accurate and fast thermal field prediction for components with different process settings and geometric designs. Integration of Physically-based and Data-driven Approaches for Thermal Field Prediction in Additive ManufacturingJingran Li GENERAL AUDIENCE ABSTRACT This paper aims to achieve the layer to layer temperature monitoring and consequently predict the temperature distribution for any new freeform geometry. An engineering statistical synergistic model is proposed to integrate the pure statistical methods and finite element modeling (FEM), which is physically meaningful as well as accurate for temperature prediction. Besides, this proposed synergistic model contains geometry information, which can be applied to any freeform geometry. This paper serves to enable a holistic cyber physical systems-based approach for the additive manufacturing (AM) not only restricted in fused deposition modeling (FDM) process but also can be extended to powder-based process like laser engineered net shaping (LENS) and selective laser sintering (SLS). This paper as well as the scheduled future works will make it affordable for customized AM including customized geometries and materials, which will greatly accelerate the transition from rapid prototyping to rapid manufacturing. This article demonstrates a first evaluation of engineering statistical synergistic model in AM technology, which gives a perspective on future researches about online quality monitoring and control of AM based data fusion principles. iv ACKNOWLEDGEMENTS

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“…Figure 2. Finite element analysis steps in additive manufacturing processes [67][68][69][70][71][72][73][74][75][76].…”

Section: Finite Element Analysismentioning

confidence: 99%

Integration of physically-based and data-driven approaches for thermal field prediction in additive manufacturing

Jin

2018

Materials & Design

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“…Sanjeev Kumar [1] presented an article on "Selective laser sintering: a qualitative and objective approach" In this article, a total review of SLS process is discussed. Different materials for SLS process, binding mechanisms, preprocessing, experimental parameters and post processing is discussed in detail.…”

Section: Literature Reviewmentioning

confidence: 99%

“…But as the technology evolved day by day, a new approach is developed in the manufacturing industry sector where prototyping became one of the important stage in the overall process of designing any part. Additive manufacturing technology is the foremost technology used now a days to make the prototypes of the designed parts [1]. Variety of materials can be processed by using different technologies such as stereo lithography, SLS, Fused deposition method etc.…”

Section: Introductionmentioning

confidence: 99%

A Review on Selective Laser Sintering: A Rapid Prototyping Technology

Bakshi¹

2016

IOSR

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“…Advanced sintering techniques are based upon application of high-energy irradiation that could be focused directly on the sample or even functional layer (as described in selective laser sintering studies (Kumar, 2003). Electron beams as PVD modification were used for deposition of alumina or composite cermets functional layers of carbides/nitrides (Singh & Wolfe, 2005).…”

Section: Wwwintechopencommentioning

confidence: 99%