Optimization of laser micromachining process for biomedical device fabrication View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-02

AUTHORS

L. Giorleo, E. Ceretti, C. Giardini

ABSTRACT

Laser machining is commonly used for fabrication of medical devices with microscale features, including vascular stents, drug delivery devices, and scaffolds for tissue engineering with controlled pore size and porosity. The process can also be used to produce structured scaffolds for controlling cell growth, orientation, and location. Moreover, lasers may be used to fabricate complex channel nets in which cells are subsequently seeded or to pattern channels for microfluidic devices. Traditionally, these micro devices were fabricated using silicon substrates, but recently the use of titanium allowed to produce more robust devices at a reasonable cost. In particular, the high quality surfaces that can be obtained with laser machining reduce the liquid flow turbulence and avoid micro cavities formation, critical for bacteria proliferation. The present research reports the results of an investigation on the process capability of laser ablation to produce micro pockets fabricated on titanium sheet (0.5 mm thick). A first experimental campaign was designed for identifying a set of laser ablation cycles able to realize the micro pockets by changing the process parameters as scanning speed, laser power, q-switch frequency, loop number, and duty cycle. Moreover, a process optimization was executed in order to produce the pockets with a highly flat surface. The results were acquired by a confocal laser scanning microscope (CLSM) to obtain high-resolution images with depth selectivity and were analyzed with statistic methods for the identification of the best parameter configuration. More... »

PAGES

901-907

References to SciGraph publications

  • 2013-06. Structuring of titanium using a nanosecond-pulsed Nd:YVO4 laser at 1064 nm in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2000-03. Process Optimisation in Pulsed Laser Micromachining with Applications in Medical Device Manufacturing in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00170-015-7450-2

    DOI

    http://dx.doi.org/10.1007/s00170-015-7450-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1012154165


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0903", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biomedical Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Engineering", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Brescia", 
              "id": "https://www.grid.ac/institutes/grid.7637.5", 
              "name": [
                "Dept. of Mechanical and Industrial Engineering, University of Brescia, Brescia, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Giorleo", 
            "givenName": "L.", 
            "id": "sg:person.07472051344.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07472051344.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Brescia", 
              "id": "https://www.grid.ac/institutes/grid.7637.5", 
              "name": [
                "Dept. of Mechanical and Industrial Engineering, University of Brescia, Brescia, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ceretti", 
            "givenName": "E.", 
            "id": "sg:person.010064141760.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010064141760.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Bergamo", 
              "id": "https://www.grid.ac/institutes/grid.33236.37", 
              "name": [
                "Dept. of Management, Information and Production Engineering, University of Bergamo, Bergamo, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Giardini", 
            "givenName": "C.", 
            "id": "sg:person.016030704477.43", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016030704477.43"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.procir.2015.06.102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004561617"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.mser.2004.11.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006740302"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msec.2008.05.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014443360"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmatprotec.2007.06.083", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015000086"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.precisioneng.2009.04.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017475694"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00170-012-4456-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025736884", 
              "https://doi.org/10.1007/s00170-012-4456-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1586/erd.10.14", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025806188"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0007-8506(07)61699-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027564391"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0030-3992(01)00066-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028775103"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.4867088", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029393269"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cirp.2007.10.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039371346"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0007-8506(07)63451-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042649695"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmapro.2012.09.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043117508"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cirp.2011.05.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046839426"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmatprotec.2007.03.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048378838"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0007-8506(07)60204-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049055477"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001700050152", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051364242", 
              "https://doi.org/10.1007/s001700050152"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-02", 
        "datePublishedReg": "2016-02-01", 
        "description": "Laser machining is commonly used for fabrication of medical devices with microscale features, including vascular stents, drug delivery devices, and scaffolds for tissue engineering with controlled pore size and porosity. The process can also be used to produce structured scaffolds for controlling cell growth, orientation, and location. Moreover, lasers may be used to fabricate complex channel nets in which cells are subsequently seeded or to pattern channels for microfluidic devices. Traditionally, these micro devices were fabricated using silicon substrates, but recently the use of titanium allowed to produce more robust devices at a reasonable cost. In particular, the high quality surfaces that can be obtained with laser machining reduce the liquid flow turbulence and avoid micro cavities formation, critical for bacteria proliferation. The present research reports the results of an investigation on the process capability of laser ablation to produce micro pockets fabricated on titanium sheet (0.5 mm thick). A first experimental campaign was designed for identifying a set of laser ablation cycles able to realize the micro pockets by changing the process parameters as scanning speed, laser power, q-switch frequency, loop number, and duty cycle. Moreover, a process optimization was executed in order to produce the pockets with a highly flat surface. The results were acquired by a confocal laser scanning microscope (CLSM) to obtain high-resolution images with depth selectivity and were analyzed with statistic methods for the identification of the best parameter configuration.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00170-015-7450-2", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1043671", 
            "issn": [
              "0268-3768", 
              "1433-3015"
            ], 
            "name": "The International Journal of Advanced Manufacturing Technology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "5-8", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "82"
          }
        ], 
        "name": "Optimization of laser micromachining process for biomedical device fabrication", 
        "pagination": "901-907", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "39e7e75c9ec0305c2b1499e6dfbb9c0960ff17948e8961c89b74ae629e104198"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00170-015-7450-2"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1012154165"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00170-015-7450-2", 
          "https://app.dimensions.ai/details/publication/pub.1012154165"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T21:36", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8687_00000511.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs00170-015-7450-2"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00170-015-7450-2'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00170-015-7450-2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00170-015-7450-2'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00170-015-7450-2'


     

    This table displays all metadata directly associated to this object as RDF triples.

    131 TRIPLES      21 PREDICATES      44 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00170-015-7450-2 schema:about anzsrc-for:09
    2 anzsrc-for:0903
    3 schema:author Nb5289133da714b25a317b09446373ce8
    4 schema:citation sg:pub.10.1007/s00170-012-4456-x
    5 sg:pub.10.1007/s001700050152
    6 https://doi.org/10.1016/j.cirp.2007.10.001
    7 https://doi.org/10.1016/j.cirp.2011.05.005
    8 https://doi.org/10.1016/j.jmapro.2012.09.001
    9 https://doi.org/10.1016/j.jmatprotec.2007.03.005
    10 https://doi.org/10.1016/j.jmatprotec.2007.06.083
    11 https://doi.org/10.1016/j.msec.2008.05.002
    12 https://doi.org/10.1016/j.mser.2004.11.001
    13 https://doi.org/10.1016/j.precisioneng.2009.04.001
    14 https://doi.org/10.1016/j.procir.2015.06.102
    15 https://doi.org/10.1016/s0007-8506(07)60204-2
    16 https://doi.org/10.1016/s0007-8506(07)61699-0
    17 https://doi.org/10.1016/s0007-8506(07)63451-9
    18 https://doi.org/10.1016/s0030-3992(01)00066-4
    19 https://doi.org/10.1063/1.4867088
    20 https://doi.org/10.1586/erd.10.14
    21 schema:datePublished 2016-02
    22 schema:datePublishedReg 2016-02-01
    23 schema:description Laser machining is commonly used for fabrication of medical devices with microscale features, including vascular stents, drug delivery devices, and scaffolds for tissue engineering with controlled pore size and porosity. The process can also be used to produce structured scaffolds for controlling cell growth, orientation, and location. Moreover, lasers may be used to fabricate complex channel nets in which cells are subsequently seeded or to pattern channels for microfluidic devices. Traditionally, these micro devices were fabricated using silicon substrates, but recently the use of titanium allowed to produce more robust devices at a reasonable cost. In particular, the high quality surfaces that can be obtained with laser machining reduce the liquid flow turbulence and avoid micro cavities formation, critical for bacteria proliferation. The present research reports the results of an investigation on the process capability of laser ablation to produce micro pockets fabricated on titanium sheet (0.5 mm thick). A first experimental campaign was designed for identifying a set of laser ablation cycles able to realize the micro pockets by changing the process parameters as scanning speed, laser power, q-switch frequency, loop number, and duty cycle. Moreover, a process optimization was executed in order to produce the pockets with a highly flat surface. The results were acquired by a confocal laser scanning microscope (CLSM) to obtain high-resolution images with depth selectivity and were analyzed with statistic methods for the identification of the best parameter configuration.
    24 schema:genre research_article
    25 schema:inLanguage en
    26 schema:isAccessibleForFree true
    27 schema:isPartOf N1d8d09d56bd1437ea01fa836ccf38eea
    28 N6850679d885848b58a48de02903413b5
    29 sg:journal.1043671
    30 schema:name Optimization of laser micromachining process for biomedical device fabrication
    31 schema:pagination 901-907
    32 schema:productId N7837b6ba319c418fa249f04bb4765997
    33 N7e55ea8a789a44f9814ff397a7a51fd2
    34 Ne4f2395573d749549246bb574006f333
    35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012154165
    36 https://doi.org/10.1007/s00170-015-7450-2
    37 schema:sdDatePublished 2019-04-10T21:36
    38 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    39 schema:sdPublisher N23b12912bca34d38a10ecccb0c0188d5
    40 schema:url http://link.springer.com/10.1007%2Fs00170-015-7450-2
    41 sgo:license sg:explorer/license/
    42 sgo:sdDataset articles
    43 rdf:type schema:ScholarlyArticle
    44 N1d8d09d56bd1437ea01fa836ccf38eea schema:issueNumber 5-8
    45 rdf:type schema:PublicationIssue
    46 N23b12912bca34d38a10ecccb0c0188d5 schema:name Springer Nature - SN SciGraph project
    47 rdf:type schema:Organization
    48 N39a34b285a6243cdb8fc4149b8197c18 rdf:first sg:person.016030704477.43
    49 rdf:rest rdf:nil
    50 N6850679d885848b58a48de02903413b5 schema:volumeNumber 82
    51 rdf:type schema:PublicationVolume
    52 N7837b6ba319c418fa249f04bb4765997 schema:name doi
    53 schema:value 10.1007/s00170-015-7450-2
    54 rdf:type schema:PropertyValue
    55 N7e55ea8a789a44f9814ff397a7a51fd2 schema:name readcube_id
    56 schema:value 39e7e75c9ec0305c2b1499e6dfbb9c0960ff17948e8961c89b74ae629e104198
    57 rdf:type schema:PropertyValue
    58 Nb5289133da714b25a317b09446373ce8 rdf:first sg:person.07472051344.51
    59 rdf:rest Ne6585f0108c3406192e5394ab83af729
    60 Ne4f2395573d749549246bb574006f333 schema:name dimensions_id
    61 schema:value pub.1012154165
    62 rdf:type schema:PropertyValue
    63 Ne6585f0108c3406192e5394ab83af729 rdf:first sg:person.010064141760.32
    64 rdf:rest N39a34b285a6243cdb8fc4149b8197c18
    65 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    66 schema:name Engineering
    67 rdf:type schema:DefinedTerm
    68 anzsrc-for:0903 schema:inDefinedTermSet anzsrc-for:
    69 schema:name Biomedical Engineering
    70 rdf:type schema:DefinedTerm
    71 sg:journal.1043671 schema:issn 0268-3768
    72 1433-3015
    73 schema:name The International Journal of Advanced Manufacturing Technology
    74 rdf:type schema:Periodical
    75 sg:person.010064141760.32 schema:affiliation https://www.grid.ac/institutes/grid.7637.5
    76 schema:familyName Ceretti
    77 schema:givenName E.
    78 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010064141760.32
    79 rdf:type schema:Person
    80 sg:person.016030704477.43 schema:affiliation https://www.grid.ac/institutes/grid.33236.37
    81 schema:familyName Giardini
    82 schema:givenName C.
    83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016030704477.43
    84 rdf:type schema:Person
    85 sg:person.07472051344.51 schema:affiliation https://www.grid.ac/institutes/grid.7637.5
    86 schema:familyName Giorleo
    87 schema:givenName L.
    88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07472051344.51
    89 rdf:type schema:Person
    90 sg:pub.10.1007/s00170-012-4456-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025736884
    91 https://doi.org/10.1007/s00170-012-4456-x
    92 rdf:type schema:CreativeWork
    93 sg:pub.10.1007/s001700050152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051364242
    94 https://doi.org/10.1007/s001700050152
    95 rdf:type schema:CreativeWork
    96 https://doi.org/10.1016/j.cirp.2007.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039371346
    97 rdf:type schema:CreativeWork
    98 https://doi.org/10.1016/j.cirp.2011.05.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046839426
    99 rdf:type schema:CreativeWork
    100 https://doi.org/10.1016/j.jmapro.2012.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043117508
    101 rdf:type schema:CreativeWork
    102 https://doi.org/10.1016/j.jmatprotec.2007.03.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048378838
    103 rdf:type schema:CreativeWork
    104 https://doi.org/10.1016/j.jmatprotec.2007.06.083 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015000086
    105 rdf:type schema:CreativeWork
    106 https://doi.org/10.1016/j.msec.2008.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014443360
    107 rdf:type schema:CreativeWork
    108 https://doi.org/10.1016/j.mser.2004.11.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006740302
    109 rdf:type schema:CreativeWork
    110 https://doi.org/10.1016/j.precisioneng.2009.04.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017475694
    111 rdf:type schema:CreativeWork
    112 https://doi.org/10.1016/j.procir.2015.06.102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004561617
    113 rdf:type schema:CreativeWork
    114 https://doi.org/10.1016/s0007-8506(07)60204-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049055477
    115 rdf:type schema:CreativeWork
    116 https://doi.org/10.1016/s0007-8506(07)61699-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027564391
    117 rdf:type schema:CreativeWork
    118 https://doi.org/10.1016/s0007-8506(07)63451-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042649695
    119 rdf:type schema:CreativeWork
    120 https://doi.org/10.1016/s0030-3992(01)00066-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028775103
    121 rdf:type schema:CreativeWork
    122 https://doi.org/10.1063/1.4867088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029393269
    123 rdf:type schema:CreativeWork
    124 https://doi.org/10.1586/erd.10.14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025806188
    125 rdf:type schema:CreativeWork
    126 https://www.grid.ac/institutes/grid.33236.37 schema:alternateName University of Bergamo
    127 schema:name Dept. of Management, Information and Production Engineering, University of Bergamo, Bergamo, Italy
    128 rdf:type schema:Organization
    129 https://www.grid.ac/institutes/grid.7637.5 schema:alternateName University of Brescia
    130 schema:name Dept. of Mechanical and Industrial Engineering, University of Brescia, Brescia, Italy
    131 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...