Incorporating Manufacturing Process Simulations to Enhance Performance Predictions of Injection Moulded Metamaterials

Purpose Locally resonant metamaterials are engineered structures, typically comprising a host structure with resonant structures added or included on a sub wavelength scale. Their interaction leads to stopbands, which are frequency ranges in which no free wave propagation is allowed, enabling strong vibration reduction. At present, metamaterials are mostly realized in an ad hoc manner, as mostly academic demonstrators are considered and the currently used manufacturing approaches are not yet suited for mass production. Moreover, manufacturing induced changes in metamaterial geometry and material properties are hard to account for in the early design process, which can result in off-design metamaterial performance. In this work, injection moulding is proposed as a mass-manufacturing method for resonators, and dedicated injection moulding process simulations are incorporated in the metamaterial performance predictions to account for the influence of manufacturing induced changes. Methods The benefits of incorporating manufacturing simulations in metamaterial performance predictions are investigated for three injection moulded resonator types. Three dedicated mould inserts were manufactured, each possessing a resonator product cavity, and several sets of resonators are produced in two different materials. The masses and main dimensions of the produced resonators are measured, and their eigenfrequencies are determined using laser vibrometry. To predict the as-produced resonator shape and density distribution, injection moulding simulations are performed using the commercial software Moldex3D 2022. The resulting model meshes are next translated to structural dynamic finite element models to determine the eigenfrequencies and stopbands. Results and Conclusion Incorporating injection moulding simulations in structural dynamic modelling clearly improves the eigenfrequency predictions of the manufactured resonators as well as the metamaterial stopband predictions. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Steijvers, Kristof [verfasserIn] Claeys, Claus Van Belle, Lucas Deckers, Elke

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Vibro-acoustics Metamaterials Injection moulding Manufacturing Finite element modelling Injection moulding simulation

Anmerkung:	© Springer Nature Singapore Pte Ltd. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:	Enthalten in: Journal of vibration engineering & technologies - Singapore : Springer Singapore, 2018, 11(2023), 6 vom: Sept., Seite 2617-2629
Übergeordnetes Werk:	volume:11 ; year:2023 ; number:6 ; month:09 ; pages:2617-2629

Links:	Volltext

DOI / URN:	10.1007/s42417-023-01159-1

Katalog-ID:	SPR053856368

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520			\|a Purpose Locally resonant metamaterials are engineered structures, typically comprising a host structure with resonant structures added or included on a sub wavelength scale. Their interaction leads to stopbands, which are frequency ranges in which no free wave propagation is allowed, enabling strong vibration reduction. At present, metamaterials are mostly realized in an ad hoc manner, as mostly academic demonstrators are considered and the currently used manufacturing approaches are not yet suited for mass production. Moreover, manufacturing induced changes in metamaterial geometry and material properties are hard to account for in the early design process, which can result in off-design metamaterial performance. In this work, injection moulding is proposed as a mass-manufacturing method for resonators, and dedicated injection moulding process simulations are incorporated in the metamaterial performance predictions to account for the influence of manufacturing induced changes. Methods The benefits of incorporating manufacturing simulations in metamaterial performance predictions are investigated for three injection moulded resonator types. Three dedicated mould inserts were manufactured, each possessing a resonator product cavity, and several sets of resonators are produced in two different materials. The masses and main dimensions of the produced resonators are measured, and their eigenfrequencies are determined using laser vibrometry. To predict the as-produced resonator shape and density distribution, injection moulding simulations are performed using the commercial software Moldex3D 2022. The resulting model meshes are next translated to structural dynamic finite element models to determine the eigenfrequencies and stopbands. Results and Conclusion Incorporating injection moulding simulations in structural dynamic modelling clearly improves the eigenfrequency predictions of the manufactured resonators as well as the metamaterial stopband predictions.
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allfields	10.1007/s42417-023-01159-1 doi (DE-627)SPR053856368 (SPR)s42417-023-01159-1-e DE-627 ger DE-627 rakwb eng Steijvers, Kristof verfasserin (orcid)0000-0003-4975-6020 aut Incorporating Manufacturing Process Simulations to Enhance Performance Predictions of Injection Moulded Metamaterials 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Singapore Pte Ltd. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Purpose Locally resonant metamaterials are engineered structures, typically comprising a host structure with resonant structures added or included on a sub wavelength scale. Their interaction leads to stopbands, which are frequency ranges in which no free wave propagation is allowed, enabling strong vibration reduction. At present, metamaterials are mostly realized in an ad hoc manner, as mostly academic demonstrators are considered and the currently used manufacturing approaches are not yet suited for mass production. Moreover, manufacturing induced changes in metamaterial geometry and material properties are hard to account for in the early design process, which can result in off-design metamaterial performance. In this work, injection moulding is proposed as a mass-manufacturing method for resonators, and dedicated injection moulding process simulations are incorporated in the metamaterial performance predictions to account for the influence of manufacturing induced changes. Methods The benefits of incorporating manufacturing simulations in metamaterial performance predictions are investigated for three injection moulded resonator types. Three dedicated mould inserts were manufactured, each possessing a resonator product cavity, and several sets of resonators are produced in two different materials. The masses and main dimensions of the produced resonators are measured, and their eigenfrequencies are determined using laser vibrometry. To predict the as-produced resonator shape and density distribution, injection moulding simulations are performed using the commercial software Moldex3D 2022. The resulting model meshes are next translated to structural dynamic finite element models to determine the eigenfrequencies and stopbands. Results and Conclusion Incorporating injection moulding simulations in structural dynamic modelling clearly improves the eigenfrequency predictions of the manufactured resonators as well as the metamaterial stopband predictions. Vibro-acoustics (dpeaa)DE-He213 Metamaterials (dpeaa)DE-He213 Injection moulding (dpeaa)DE-He213 Manufacturing (dpeaa)DE-He213 Finite element modelling (dpeaa)DE-He213 Injection moulding simulation (dpeaa)DE-He213 Claeys, Claus aut Van Belle, Lucas aut Deckers, Elke aut Enthalten in Journal of vibration engineering & technologies Singapore : Springer Singapore, 2018 11(2023), 6 vom: Sept., Seite 2617-2629 (DE-627)1030123837 (DE-600)2941414-3 2523-3939 nnns volume:11 year:2023 number:6 month:09 pages:2617-2629 https://dx.doi.org/10.1007/s42417-023-01159-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 11 2023 6 09 2617-2629
spelling	10.1007/s42417-023-01159-1 doi (DE-627)SPR053856368 (SPR)s42417-023-01159-1-e DE-627 ger DE-627 rakwb eng Steijvers, Kristof verfasserin (orcid)0000-0003-4975-6020 aut Incorporating Manufacturing Process Simulations to Enhance Performance Predictions of Injection Moulded Metamaterials 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Singapore Pte Ltd. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Purpose Locally resonant metamaterials are engineered structures, typically comprising a host structure with resonant structures added or included on a sub wavelength scale. Their interaction leads to stopbands, which are frequency ranges in which no free wave propagation is allowed, enabling strong vibration reduction. At present, metamaterials are mostly realized in an ad hoc manner, as mostly academic demonstrators are considered and the currently used manufacturing approaches are not yet suited for mass production. Moreover, manufacturing induced changes in metamaterial geometry and material properties are hard to account for in the early design process, which can result in off-design metamaterial performance. In this work, injection moulding is proposed as a mass-manufacturing method for resonators, and dedicated injection moulding process simulations are incorporated in the metamaterial performance predictions to account for the influence of manufacturing induced changes. Methods The benefits of incorporating manufacturing simulations in metamaterial performance predictions are investigated for three injection moulded resonator types. Three dedicated mould inserts were manufactured, each possessing a resonator product cavity, and several sets of resonators are produced in two different materials. The masses and main dimensions of the produced resonators are measured, and their eigenfrequencies are determined using laser vibrometry. To predict the as-produced resonator shape and density distribution, injection moulding simulations are performed using the commercial software Moldex3D 2022. The resulting model meshes are next translated to structural dynamic finite element models to determine the eigenfrequencies and stopbands. Results and Conclusion Incorporating injection moulding simulations in structural dynamic modelling clearly improves the eigenfrequency predictions of the manufactured resonators as well as the metamaterial stopband predictions. Vibro-acoustics (dpeaa)DE-He213 Metamaterials (dpeaa)DE-He213 Injection moulding (dpeaa)DE-He213 Manufacturing (dpeaa)DE-He213 Finite element modelling (dpeaa)DE-He213 Injection moulding simulation (dpeaa)DE-He213 Claeys, Claus aut Van Belle, Lucas aut Deckers, Elke aut Enthalten in Journal of vibration engineering & technologies Singapore : Springer Singapore, 2018 11(2023), 6 vom: Sept., Seite 2617-2629 (DE-627)1030123837 (DE-600)2941414-3 2523-3939 nnns volume:11 year:2023 number:6 month:09 pages:2617-2629 https://dx.doi.org/10.1007/s42417-023-01159-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 11 2023 6 09 2617-2629
allfields_unstemmed	10.1007/s42417-023-01159-1 doi (DE-627)SPR053856368 (SPR)s42417-023-01159-1-e DE-627 ger DE-627 rakwb eng Steijvers, Kristof verfasserin (orcid)0000-0003-4975-6020 aut Incorporating Manufacturing Process Simulations to Enhance Performance Predictions of Injection Moulded Metamaterials 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Singapore Pte Ltd. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Purpose Locally resonant metamaterials are engineered structures, typically comprising a host structure with resonant structures added or included on a sub wavelength scale. Their interaction leads to stopbands, which are frequency ranges in which no free wave propagation is allowed, enabling strong vibration reduction. At present, metamaterials are mostly realized in an ad hoc manner, as mostly academic demonstrators are considered and the currently used manufacturing approaches are not yet suited for mass production. Moreover, manufacturing induced changes in metamaterial geometry and material properties are hard to account for in the early design process, which can result in off-design metamaterial performance. In this work, injection moulding is proposed as a mass-manufacturing method for resonators, and dedicated injection moulding process simulations are incorporated in the metamaterial performance predictions to account for the influence of manufacturing induced changes. Methods The benefits of incorporating manufacturing simulations in metamaterial performance predictions are investigated for three injection moulded resonator types. Three dedicated mould inserts were manufactured, each possessing a resonator product cavity, and several sets of resonators are produced in two different materials. The masses and main dimensions of the produced resonators are measured, and their eigenfrequencies are determined using laser vibrometry. To predict the as-produced resonator shape and density distribution, injection moulding simulations are performed using the commercial software Moldex3D 2022. The resulting model meshes are next translated to structural dynamic finite element models to determine the eigenfrequencies and stopbands. Results and Conclusion Incorporating injection moulding simulations in structural dynamic modelling clearly improves the eigenfrequency predictions of the manufactured resonators as well as the metamaterial stopband predictions. Vibro-acoustics (dpeaa)DE-He213 Metamaterials (dpeaa)DE-He213 Injection moulding (dpeaa)DE-He213 Manufacturing (dpeaa)DE-He213 Finite element modelling (dpeaa)DE-He213 Injection moulding simulation (dpeaa)DE-He213 Claeys, Claus aut Van Belle, Lucas aut Deckers, Elke aut Enthalten in Journal of vibration engineering & technologies Singapore : Springer Singapore, 2018 11(2023), 6 vom: Sept., Seite 2617-2629 (DE-627)1030123837 (DE-600)2941414-3 2523-3939 nnns volume:11 year:2023 number:6 month:09 pages:2617-2629 https://dx.doi.org/10.1007/s42417-023-01159-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 11 2023 6 09 2617-2629
allfieldsGer	10.1007/s42417-023-01159-1 doi (DE-627)SPR053856368 (SPR)s42417-023-01159-1-e DE-627 ger DE-627 rakwb eng Steijvers, Kristof verfasserin (orcid)0000-0003-4975-6020 aut Incorporating Manufacturing Process Simulations to Enhance Performance Predictions of Injection Moulded Metamaterials 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Singapore Pte Ltd. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Purpose Locally resonant metamaterials are engineered structures, typically comprising a host structure with resonant structures added or included on a sub wavelength scale. Their interaction leads to stopbands, which are frequency ranges in which no free wave propagation is allowed, enabling strong vibration reduction. At present, metamaterials are mostly realized in an ad hoc manner, as mostly academic demonstrators are considered and the currently used manufacturing approaches are not yet suited for mass production. Moreover, manufacturing induced changes in metamaterial geometry and material properties are hard to account for in the early design process, which can result in off-design metamaterial performance. In this work, injection moulding is proposed as a mass-manufacturing method for resonators, and dedicated injection moulding process simulations are incorporated in the metamaterial performance predictions to account for the influence of manufacturing induced changes. Methods The benefits of incorporating manufacturing simulations in metamaterial performance predictions are investigated for three injection moulded resonator types. Three dedicated mould inserts were manufactured, each possessing a resonator product cavity, and several sets of resonators are produced in two different materials. The masses and main dimensions of the produced resonators are measured, and their eigenfrequencies are determined using laser vibrometry. To predict the as-produced resonator shape and density distribution, injection moulding simulations are performed using the commercial software Moldex3D 2022. The resulting model meshes are next translated to structural dynamic finite element models to determine the eigenfrequencies and stopbands. Results and Conclusion Incorporating injection moulding simulations in structural dynamic modelling clearly improves the eigenfrequency predictions of the manufactured resonators as well as the metamaterial stopband predictions. Vibro-acoustics (dpeaa)DE-He213 Metamaterials (dpeaa)DE-He213 Injection moulding (dpeaa)DE-He213 Manufacturing (dpeaa)DE-He213 Finite element modelling (dpeaa)DE-He213 Injection moulding simulation (dpeaa)DE-He213 Claeys, Claus aut Van Belle, Lucas aut Deckers, Elke aut Enthalten in Journal of vibration engineering & technologies Singapore : Springer Singapore, 2018 11(2023), 6 vom: Sept., Seite 2617-2629 (DE-627)1030123837 (DE-600)2941414-3 2523-3939 nnns volume:11 year:2023 number:6 month:09 pages:2617-2629 https://dx.doi.org/10.1007/s42417-023-01159-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 11 2023 6 09 2617-2629
allfieldsSound	10.1007/s42417-023-01159-1 doi (DE-627)SPR053856368 (SPR)s42417-023-01159-1-e DE-627 ger DE-627 rakwb eng Steijvers, Kristof verfasserin (orcid)0000-0003-4975-6020 aut Incorporating Manufacturing Process Simulations to Enhance Performance Predictions of Injection Moulded Metamaterials 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Singapore Pte Ltd. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Purpose Locally resonant metamaterials are engineered structures, typically comprising a host structure with resonant structures added or included on a sub wavelength scale. Their interaction leads to stopbands, which are frequency ranges in which no free wave propagation is allowed, enabling strong vibration reduction. At present, metamaterials are mostly realized in an ad hoc manner, as mostly academic demonstrators are considered and the currently used manufacturing approaches are not yet suited for mass production. Moreover, manufacturing induced changes in metamaterial geometry and material properties are hard to account for in the early design process, which can result in off-design metamaterial performance. In this work, injection moulding is proposed as a mass-manufacturing method for resonators, and dedicated injection moulding process simulations are incorporated in the metamaterial performance predictions to account for the influence of manufacturing induced changes. Methods The benefits of incorporating manufacturing simulations in metamaterial performance predictions are investigated for three injection moulded resonator types. Three dedicated mould inserts were manufactured, each possessing a resonator product cavity, and several sets of resonators are produced in two different materials. The masses and main dimensions of the produced resonators are measured, and their eigenfrequencies are determined using laser vibrometry. To predict the as-produced resonator shape and density distribution, injection moulding simulations are performed using the commercial software Moldex3D 2022. The resulting model meshes are next translated to structural dynamic finite element models to determine the eigenfrequencies and stopbands. Results and Conclusion Incorporating injection moulding simulations in structural dynamic modelling clearly improves the eigenfrequency predictions of the manufactured resonators as well as the metamaterial stopband predictions. Vibro-acoustics (dpeaa)DE-He213 Metamaterials (dpeaa)DE-He213 Injection moulding (dpeaa)DE-He213 Manufacturing (dpeaa)DE-He213 Finite element modelling (dpeaa)DE-He213 Injection moulding simulation (dpeaa)DE-He213 Claeys, Claus aut Van Belle, Lucas aut Deckers, Elke aut Enthalten in Journal of vibration engineering & technologies Singapore : Springer Singapore, 2018 11(2023), 6 vom: Sept., Seite 2617-2629 (DE-627)1030123837 (DE-600)2941414-3 2523-3939 nnns volume:11 year:2023 number:6 month:09 pages:2617-2629 https://dx.doi.org/10.1007/s42417-023-01159-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 11 2023 6 09 2617-2629
language	English
source	Enthalten in Journal of vibration engineering & technologies 11(2023), 6 vom: Sept., Seite 2617-2629 volume:11 year:2023 number:6 month:09 pages:2617-2629
sourceStr	Enthalten in Journal of vibration engineering & technologies 11(2023), 6 vom: Sept., Seite 2617-2629 volume:11 year:2023 number:6 month:09 pages:2617-2629
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Vibro-acoustics Metamaterials Injection moulding Manufacturing Finite element modelling Injection moulding simulation
isfreeaccess_bool	false
container_title	Journal of vibration engineering & technologies
authorswithroles_txt_mv	Steijvers, Kristof @@aut@@ Claeys, Claus @@aut@@ Van Belle, Lucas @@aut@@ Deckers, Elke @@aut@@
publishDateDaySort_date	2023-09-01T00:00:00Z
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author	Steijvers, Kristof
spellingShingle	Steijvers, Kristof misc Vibro-acoustics misc Metamaterials misc Injection moulding misc Manufacturing misc Finite element modelling misc Injection moulding simulation Incorporating Manufacturing Process Simulations to Enhance Performance Predictions of Injection Moulded Metamaterials
authorStr	Steijvers, Kristof
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topic_title	Incorporating Manufacturing Process Simulations to Enhance Performance Predictions of Injection Moulded Metamaterials Vibro-acoustics (dpeaa)DE-He213 Metamaterials (dpeaa)DE-He213 Injection moulding (dpeaa)DE-He213 Manufacturing (dpeaa)DE-He213 Finite element modelling (dpeaa)DE-He213 Injection moulding simulation (dpeaa)DE-He213
topic	misc Vibro-acoustics misc Metamaterials misc Injection moulding misc Manufacturing misc Finite element modelling misc Injection moulding simulation
topic_unstemmed	misc Vibro-acoustics misc Metamaterials misc Injection moulding misc Manufacturing misc Finite element modelling misc Injection moulding simulation
topic_browse	misc Vibro-acoustics misc Metamaterials misc Injection moulding misc Manufacturing misc Finite element modelling misc Injection moulding simulation
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title	Incorporating Manufacturing Process Simulations to Enhance Performance Predictions of Injection Moulded Metamaterials
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title_full	Incorporating Manufacturing Process Simulations to Enhance Performance Predictions of Injection Moulded Metamaterials
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journal	Journal of vibration engineering & technologies
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author_browse	Steijvers, Kristof Claeys, Claus Van Belle, Lucas Deckers, Elke
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author-letter	Steijvers, Kristof
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title_sort	incorporating manufacturing process simulations to enhance performance predictions of injection moulded metamaterials
title_auth	Incorporating Manufacturing Process Simulations to Enhance Performance Predictions of Injection Moulded Metamaterials
abstract	Purpose Locally resonant metamaterials are engineered structures, typically comprising a host structure with resonant structures added or included on a sub wavelength scale. Their interaction leads to stopbands, which are frequency ranges in which no free wave propagation is allowed, enabling strong vibration reduction. At present, metamaterials are mostly realized in an ad hoc manner, as mostly academic demonstrators are considered and the currently used manufacturing approaches are not yet suited for mass production. Moreover, manufacturing induced changes in metamaterial geometry and material properties are hard to account for in the early design process, which can result in off-design metamaterial performance. In this work, injection moulding is proposed as a mass-manufacturing method for resonators, and dedicated injection moulding process simulations are incorporated in the metamaterial performance predictions to account for the influence of manufacturing induced changes. Methods The benefits of incorporating manufacturing simulations in metamaterial performance predictions are investigated for three injection moulded resonator types. Three dedicated mould inserts were manufactured, each possessing a resonator product cavity, and several sets of resonators are produced in two different materials. The masses and main dimensions of the produced resonators are measured, and their eigenfrequencies are determined using laser vibrometry. To predict the as-produced resonator shape and density distribution, injection moulding simulations are performed using the commercial software Moldex3D 2022. The resulting model meshes are next translated to structural dynamic finite element models to determine the eigenfrequencies and stopbands. Results and Conclusion Incorporating injection moulding simulations in structural dynamic modelling clearly improves the eigenfrequency predictions of the manufactured resonators as well as the metamaterial stopband predictions. © Springer Nature Singapore Pte Ltd. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstractGer	Purpose Locally resonant metamaterials are engineered structures, typically comprising a host structure with resonant structures added or included on a sub wavelength scale. Their interaction leads to stopbands, which are frequency ranges in which no free wave propagation is allowed, enabling strong vibration reduction. At present, metamaterials are mostly realized in an ad hoc manner, as mostly academic demonstrators are considered and the currently used manufacturing approaches are not yet suited for mass production. Moreover, manufacturing induced changes in metamaterial geometry and material properties are hard to account for in the early design process, which can result in off-design metamaterial performance. In this work, injection moulding is proposed as a mass-manufacturing method for resonators, and dedicated injection moulding process simulations are incorporated in the metamaterial performance predictions to account for the influence of manufacturing induced changes. Methods The benefits of incorporating manufacturing simulations in metamaterial performance predictions are investigated for three injection moulded resonator types. Three dedicated mould inserts were manufactured, each possessing a resonator product cavity, and several sets of resonators are produced in two different materials. The masses and main dimensions of the produced resonators are measured, and their eigenfrequencies are determined using laser vibrometry. To predict the as-produced resonator shape and density distribution, injection moulding simulations are performed using the commercial software Moldex3D 2022. The resulting model meshes are next translated to structural dynamic finite element models to determine the eigenfrequencies and stopbands. Results and Conclusion Incorporating injection moulding simulations in structural dynamic modelling clearly improves the eigenfrequency predictions of the manufactured resonators as well as the metamaterial stopband predictions. © Springer Nature Singapore Pte Ltd. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstract_unstemmed	Purpose Locally resonant metamaterials are engineered structures, typically comprising a host structure with resonant structures added or included on a sub wavelength scale. Their interaction leads to stopbands, which are frequency ranges in which no free wave propagation is allowed, enabling strong vibration reduction. At present, metamaterials are mostly realized in an ad hoc manner, as mostly academic demonstrators are considered and the currently used manufacturing approaches are not yet suited for mass production. Moreover, manufacturing induced changes in metamaterial geometry and material properties are hard to account for in the early design process, which can result in off-design metamaterial performance. In this work, injection moulding is proposed as a mass-manufacturing method for resonators, and dedicated injection moulding process simulations are incorporated in the metamaterial performance predictions to account for the influence of manufacturing induced changes. Methods The benefits of incorporating manufacturing simulations in metamaterial performance predictions are investigated for three injection moulded resonator types. Three dedicated mould inserts were manufactured, each possessing a resonator product cavity, and several sets of resonators are produced in two different materials. The masses and main dimensions of the produced resonators are measured, and their eigenfrequencies are determined using laser vibrometry. To predict the as-produced resonator shape and density distribution, injection moulding simulations are performed using the commercial software Moldex3D 2022. The resulting model meshes are next translated to structural dynamic finite element models to determine the eigenfrequencies and stopbands. Results and Conclusion Incorporating injection moulding simulations in structural dynamic modelling clearly improves the eigenfrequency predictions of the manufactured resonators as well as the metamaterial stopband predictions. © Springer Nature Singapore Pte Ltd. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
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title_short	Incorporating Manufacturing Process Simulations to Enhance Performance Predictions of Injection Moulded Metamaterials
url	https://dx.doi.org/10.1007/s42417-023-01159-1
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author2	Claeys, Claus Van Belle, Lucas Deckers, Elke
author2Str	Claeys, Claus Van Belle, Lucas Deckers, Elke
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doi_str	10.1007/s42417-023-01159-1
up_date	2024-07-03T22:30:08.325Z
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Purpose Locally resonant metamaterials are engineered structures, typically comprising a host structure with resonant structures added or included on a sub wavelength scale. Their interaction leads to stopbands, which are frequency ranges in which no free wave propagation is allowed, enabling strong vibration reduction. At present, metamaterials are mostly realized in an ad hoc manner, as mostly academic demonstrators are considered and the currently used manufacturing approaches are not yet suited for mass production. Moreover, manufacturing induced changes in metamaterial geometry and material properties are hard to account for in the early design process, which can result in off-design metamaterial performance. In this work, injection moulding is proposed as a mass-manufacturing method for resonators, and dedicated injection moulding process simulations are incorporated in the metamaterial performance predictions to account for the influence of manufacturing induced changes. Methods The benefits of incorporating manufacturing simulations in metamaterial performance predictions are investigated for three injection moulded resonator types. Three dedicated mould inserts were manufactured, each possessing a resonator product cavity, and several sets of resonators are produced in two different materials. The masses and main dimensions of the produced resonators are measured, and their eigenfrequencies are determined using laser vibrometry. To predict the as-produced resonator shape and density distribution, injection moulding simulations are performed using the commercial software Moldex3D 2022. The resulting model meshes are next translated to structural dynamic finite element models to determine the eigenfrequencies and stopbands. 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