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    Process Sensitivity Analysis and Resolution Prediction for the Two Photon Polymerization of Micro/Nano Structures

    Source: Journal of Manufacturing Science and Engineering:;2009:;volume( 131 ):;issue: 005::page 51018
    Author:
    Nitin Uppal
    ,
    Panos S. Shiakolas
    DOI: 10.1115/1.4000097
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Two photon polymerization (2PP) is a rapid prototyping technique for the fabrication of micro/nano structures from photosensitive polymers. The polymerization process and its resolution depend on the combination of various chemical and physical process parameters. In this research, statistical techniques are employed to evaluate the sensitivity of the 2PP process on the applied laser power, scanning speed, and concentration of photoinitiator. The experiments were performed using the ethoxylated (6) trimethylolpropane triacrylate (SR499-Sartomer) monomer and acyl phosphine oxide (Lucirin TPO-L-BASF) photoinitiator. A design of experiments approach is utilized to evaluate the effect of these process parameters at various set levels on the polymerized width and height. The proposed model is checked for interaction among the process parameters and multiple comparisons are performed to evaluate the statistically significant differences. Also, a detailed discussion of the model verification based on error analysis is performed and presented. A regression model is also developed for the prediction of polymerization resolution and the developed statistical model is experimentally verified. Finally, the developed model and the understanding acquired through the statistical analysis were used for the prototyping of various micro/nano structures.
    keyword(s): Photons , Lasers , Manufacturing , Resolution (Optics) , Nanostructures , Polymerization , Statistical analysis , Errors AND Sensitivity analysis ,
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      Process Sensitivity Analysis and Resolution Prediction for the Two Photon Polymerization of Micro/Nano Structures

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    https://yetl.yabesh.ir/yetl1/handle/yetl/141197
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    contributor authorNitin Uppal
    contributor authorPanos S. Shiakolas
    date accessioned2017-05-09T00:34:03Z
    date available2017-05-09T00:34:03Z
    date copyrightOctober, 2009
    date issued2009
    identifier issn1087-1357
    identifier otherJMSEFK-28235#051018_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/141197
    description abstractTwo photon polymerization (2PP) is a rapid prototyping technique for the fabrication of micro/nano structures from photosensitive polymers. The polymerization process and its resolution depend on the combination of various chemical and physical process parameters. In this research, statistical techniques are employed to evaluate the sensitivity of the 2PP process on the applied laser power, scanning speed, and concentration of photoinitiator. The experiments were performed using the ethoxylated (6) trimethylolpropane triacrylate (SR499-Sartomer) monomer and acyl phosphine oxide (Lucirin TPO-L-BASF) photoinitiator. A design of experiments approach is utilized to evaluate the effect of these process parameters at various set levels on the polymerized width and height. The proposed model is checked for interaction among the process parameters and multiple comparisons are performed to evaluate the statistically significant differences. Also, a detailed discussion of the model verification based on error analysis is performed and presented. A regression model is also developed for the prediction of polymerization resolution and the developed statistical model is experimentally verified. Finally, the developed model and the understanding acquired through the statistical analysis were used for the prototyping of various micro/nano structures.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleProcess Sensitivity Analysis and Resolution Prediction for the Two Photon Polymerization of Micro/Nano Structures
    typeJournal Paper
    journal volume131
    journal issue5
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4000097
    journal fristpage51018
    identifier eissn1528-8935
    keywordsPhotons
    keywordsLasers
    keywordsManufacturing
    keywordsResolution (Optics)
    keywordsNanostructures
    keywordsPolymerization
    keywordsStatistical analysis
    keywordsErrors AND Sensitivity analysis
    treeJournal of Manufacturing Science and Engineering:;2009:;volume( 131 ):;issue: 005
    contenttypeFulltext
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