Polymer Blends for Selective Laser Sintering: Material and Process Requirements

Drummer, Dietmar; Wudy, Katrin; Kühnlein, Florian; Drexler, Maximilian

doi:10.1016/j.phpro.2012.10.067

Cited by 22 publications

(14 citation statements)

References 2 publications

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“…The present study was further expanded to the 100 most cited articles in the following sections, finding a total of 257 polymer powder compositions [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , …”

Section: Approach and Bibliometric Methodsmentioning

confidence: 99%

Laser Powder Bed Fusion of Polymers: Quantitative Research Direction Indices

et al. 2021

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Research on Laser Powder Bed Fusion (L-PBF) of polymer powder feedstocks has raised over the last decade due to the increased utilization of the fabricated parts in aerospace, automotive, electronics, and healthcare applications. A total of 600 Science Citation Indexed articles were published on the topic of L-PBF of polymer powder feedstocks in the last decade, being cited more than 10,000 times leading to an h-index of 46. This study statistically evaluates the 100 most cited articles to extract reported material, process, and as-built part properties to analyze the research trends. PA12, PEEK, and TPU are the most employed polymer powder feedstocks, while size, flowability, and thermal behavior are the standardly reported material properties. Likewise, process properties such as laser power, scanning speed, hatch spacing, powder layer thickness, volumetric energy density, and areal energy density are extracted and evaluated. In addition, material and process properties of the as-built parts such as tensile test, flexural test, and volumetric porosity contents are analyzed. The incorporation of additives is found to be an effective route to enhance mechanical and functional properties. Carbon-based additives are typically employed in applications where mechanical properties are essential. Carbon fibers, Ca-phosphates, and SiO2 are the most reported additives in the evaluated SCI-expanded articles for L-PBF of polymer powder feedstocks. A comprehensive data matrix is extracted from the evaluated SCI-index publications, and a principal component analysis (PCA) is performed to explore correlations between reported material, process, and as-built parts.

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Section: Approach and Bibliometric Methodsmentioning

confidence: 99%

Laser Powder Bed Fusion of Polymers: Quantitative Research Direction Indices

et al. 2021

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“…* The values were not provided directly, and they have been interpreted from experimental data. [24,25,31,32,34]. …”

Section: Figurementioning

confidence: 99%

Additive Manufacturing of Polypropylene: A Screening Design of Experiment Using Laser-Based Powder Bed Fusion

2018

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The use of commodity polymers such as polypropylene (PP) is key to open new market segments and applications for the additive manufacturing industry. Technologies such as powder-bed fusion (PBF) can process PP powder; however, much is still to learn concerning process parameters for reliable manufacturing. This study focusses in the process–property relationships of PP using laser-based PBF. The research presents an overview of the intrinsic and the extrinsic characteristic of a commercial PP powder as well as fabrication of tensile specimens with varying process parameters to characterize tensile, elongation at break, and porosity properties. The impact of key process parameters, such as power and scanning speed, are systematically modified in a controlled design of experiment. The results were compared to the existing body of knowledge; the outcome is to present a process window and optimal process parameters for industrial use of PP. The computer tomography data revealed a highly porous structure inside specimens ranging between 8.46% and 10.08%, with porosity concentrated in the interlayer planes in the build direction. The results of the design of experiment for this commercial material show a narrow window of 0.122 ≥ Ev ≥ 0.138 J/mm3 led to increased mechanical properties while maintaining geometrical stability.

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“…The burgeoning manufacturing field, for example, often makes use of blends such as acrylonitrile‐butadiene‐styrene (ABS) and polycarbonate (PC) . Whereas designing new polymers from the ground up to obtain any target properties is typically expensive, slow, and subject to experimental error, polymer blend approaches are popular because they offer a convenient way to easily tailor the properties of a system by mixing given polymeric materials ,…”

Section: Introductionmentioning

confidence: 99%

Molecular Modeling Approach to Determine the Flory‐Huggins Interaction Parameter for Polymer Miscibility Analysis

et al. 2018

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In this work, we present a thorough procedure for estimating the Flory-Huggins χ-parameter for use in atomistic and mesoscale molecular simulations in computational materials science. In particular, we propose improvements upon traditional Flory-Huggins theory by implementing a Connolly volume normalization (CVN). We apply this technique to several test systems, including a blend of poly (epichlorohydrin) and poly (methyl acrylate), a blend of polyethylene glycol and poly (methyl methacrylate), a blend of polystyrene and deuterated polystyrene, and three molecular-weight variants (monomer, dimer, and trimer) of a triblock copolymer for use in multicompartment micelle applications. Our results demonstrate that the newly developed procedure offers high accuracy and efficiency in predicting the Flory-Huggins χ-parameter for miscibility analysis compared to traditional experimental and computational methods. There are still several factors that cause the magnitude of the χ-parameter to vary between simulations performed on molecular species with the same identity but different degrees of polymerization; although we discuss possible explanations for these factors, this is nonetheless a primary focus for further exploration into this new methodology.

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Polymer Blends for Selective Laser Sintering: Material and Process Requirements

Cited by 22 publications

References 2 publications

Laser Powder Bed Fusion of Polymers: Quantitative Research Direction Indices

Laser Powder Bed Fusion of Polymers: Quantitative Research Direction Indices

Additive Manufacturing of Polypropylene: A Screening Design of Experiment Using Laser-Based Powder Bed Fusion

Molecular Modeling Approach to Determine the Flory‐Huggins Interaction Parameter for Polymer Miscibility Analysis

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