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laser" class="work-thumbnail" src="https://attachments.academia-assets.com/108085128/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/110192110/Mesure_par_PVDF_de_limplosion_dune_bulle_g%C3%A9n%C3%A9r%C3%A9e_par_focalisation_laser">Mesure par PVDF de l'implosion d'une bulle générée par focalisation laser</a></div><div class="wp-workCard_item"><span>HAL (Le Centre pour la Communication Scientifique Directe)</span><span>, Aug 1, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ea41bced56e7be8882740dc5919b9272" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" 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jet peening</a></div><div class="wp-workCard_item"><span>HAL (Le Centre pour la Communication Scientifique Directe)</span><span>, May 1, 2021</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f2495aec1d136308a3790f0dccc99d32" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":108085123,"asset_id":110192107,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/108085123/download_file?st=MTczMjQzNjY4Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="110192107"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa 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class="wp-workCard_item"><span>Sensors</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In various domains of material processing, such as surface cleaning and surface treatment, cavita...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In various domains of material processing, such as surface cleaning and surface treatment, cavitation phenomenon may become an alternative to traditional methods if this phenomenon is well understood. Due to experimental and mathematical difficulties in theoretical models, it is still a challenge to accurately measure the physical mechanism of the fluid/structure interactions. In this study, we verified the feasibility of using polyvinylidene fluoride (PVDF) sensors to quantitatively measure the under-water pressure wave generated by the collapse of a single cavitation bubble. The electrical signal obtained by PVDF can be converted into pressure information only by using the sensor material parameters provided by the supplier. During the conversion process, only the capacitance of the acquisition chain needs to be additionally measured. At the same time, a high-speed video recording system was used to visualize the evolution of the cavitation bubble. The Gilmore analytical model and...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7e3e6a0bbd675795fbb1ebfb1fa6a896" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":108085116,"asset_id":110192103,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/108085116/download_file?st=MTczMjQzNjY4Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="110192103"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="110192103"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 110192103; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=110192103]").text(description); $(".js-view-count[data-work-id=110192103]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 110192103; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='110192103']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 110192103, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7e3e6a0bbd675795fbb1ebfb1fa6a896" } } $('.js-work-strip[data-work-id=110192103]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":110192103,"title":"Experimental and Analytical Study of under Water Pressure Wave Induced by the Implosion of a Bubble Generated by Focused Laser","translated_title":"","metadata":{"abstract":"In various domains of material processing, such as surface cleaning and surface treatment, cavitation phenomenon may become an alternative to traditional methods if this phenomenon is well understood. 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data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/110192045/Numerical_simulation_of_two_consecutive_nasal_respiratory_cycles_toward_a_better_understanding_of_nasal_physiology"><img alt="Research paper thumbnail of Numerical simulation of two consecutive nasal respiratory cycles: toward a better understanding of nasal physiology" class="work-thumbnail" src="https://attachments.academia-assets.com/108085103/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/110192045/Numerical_simulation_of_two_consecutive_nasal_respiratory_cycles_toward_a_better_understanding_of_nasal_physiology">Numerical simulation of two consecutive nasal respiratory cycles: toward a better understanding of nasal physiology</a></div><div class="wp-workCard_item"><span>International Forum of Allergy &amp; Rhinology</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">BackgroundComputational fluid dynamic (CFD) simulations have greatly improved the understanding o...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">BackgroundComputational fluid dynamic (CFD) simulations have greatly improved the understanding of nasal physiology. We postulate that simulating the entire and repeated respiratory nasal cycles, within the whole sinonasal cavities, is mandatory to gather more accurate observations and better understand airflow patterns.MethodsA 3‐dimensional (3D) sinonasal model was constructed from a healthy adult computed tomography (CT) scan which discretized in 6.6 million cells (mean volume, 0.008 mm3). CFD simulations were performed with ANSYS©FluentTMv16.0.0 software with transient and turbulent airflow (k‐ω model). Two respiratory cycles (8 seconds) were simulated to assess pressure, velocity, wall shear stress, and particle residence time.ResultsThe pressure gradients within the sinus cavities varied according to their place of connection to the main passage. Alternations in pressure gradients induced a slight pumping phenomenon close to the ostia but no movement of air was observed within...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="93901c96f16e4619b379f837f9f0cbdb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":108085103,"asset_id":110192045,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/108085103/download_file?st=MTczMjQzNjY4Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="110192045"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="110192045"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 110192045; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=110192045]").text(description); $(".js-view-count[data-work-id=110192045]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 110192045; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='110192045']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 110192045, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "93901c96f16e4619b379f837f9f0cbdb" } } $('.js-work-strip[data-work-id=110192045]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":110192045,"title":"Numerical simulation of two consecutive nasal respiratory cycles: toward a better understanding of nasal physiology","translated_title":"","metadata":{"abstract":"BackgroundComputational fluid dynamic (CFD) simulations have greatly improved the understanding of nasal physiology. We postulate that simulating the entire and repeated respiratory nasal cycles, within the whole sinonasal cavities, is mandatory to gather more accurate observations and better understand airflow patterns.MethodsA 3‐dimensional (3D) sinonasal model was constructed from a healthy adult computed tomography (CT) scan which discretized in 6.6 million cells (mean volume, 0.008 mm3). CFD simulations were performed with ANSYS©FluentTMv16.0.0 software with transient and turbulent airflow (k‐ω model). Two respiratory cycles (8 seconds) were simulated to assess pressure, velocity, wall shear stress, and particle residence time.ResultsThe pressure gradients within the sinus cavities varied according to their place of connection to the main passage. 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Two respiratory cycles (8 seconds) were simulated to assess pressure, velocity, wall shear stress, and particle residence time.ResultsThe pressure gradients within the sinus cavities varied according to their place of connection to the main passage. Alternations in pressure gradients induced a slight pumping phenomenon close to the ostia but no movement of air was observed 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class="wp-workCard_item"><span>Sensors</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In various domains of material processing, such as surface cleaning and surface treatment, cavita...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In various domains of material processing, such as surface cleaning and surface treatment, cavitation phenomenon may become an alternative to traditional methods if this phenomenon is well understood. Due to experimental and mathematical difficulties in theoretical models, it is still a challenge to accurately measure the physical mechanism of the fluid/structure interactions. In this study, we verified the feasibility of using polyvinylidene fluoride (PVDF) sensors to quantitatively measure the under-water pressure wave generated by the collapse of a single cavitation bubble. The electrical signal obtained by PVDF can be converted into pressure information only by using the sensor material parameters provided by the supplier. During the conversion process, only the capacitance of the acquisition chain needs to be additionally measured. At the same time, a high-speed video recording system was used to visualize the evolution of the cavitation bubble. The Gilmore analytical model and...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7e3e6a0bbd675795fbb1ebfb1fa6a896" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":108085116,"asset_id":110192103,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/108085116/download_file?st=MTczMjQzNjY4Myw4LjIyMi4yMDguMTQ2&st=MTczMjQzNjY4Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="110192103"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="110192103"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 110192103; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=110192103]").text(description); $(".js-view-count[data-work-id=110192103]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 110192103; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='110192103']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 110192103, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7e3e6a0bbd675795fbb1ebfb1fa6a896" } } $('.js-work-strip[data-work-id=110192103]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":110192103,"title":"Experimental and Analytical Study of under Water Pressure Wave Induced by the Implosion of a Bubble Generated by Focused Laser","translated_title":"","metadata":{"abstract":"In various domains of material processing, such as surface cleaning and surface treatment, cavitation phenomenon may become an alternative to traditional methods if this phenomenon is well understood. Due to experimental and mathematical difficulties in theoretical models, it is still a challenge to accurately measure the physical mechanism of the fluid/structure interactions. In this study, we verified the feasibility of using polyvinylidene fluoride (PVDF) sensors to quantitatively measure the under-water pressure wave generated by the collapse of a single cavitation bubble. The electrical signal obtained by PVDF can be converted into pressure information only by using the sensor material parameters provided by the supplier. During the conversion process, only the capacitance of the acquisition chain needs to be additionally measured. At the same time, a high-speed video recording system was used to visualize the evolution of the cavitation bubble. 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During the conversion process, only the capacitance of the acquisition chain needs to be additionally measured. At the same time, a high-speed video recording system was used to visualize the evolution of the cavitation bubble. 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href="https://www.academia.edu/110192101/Modeling_of_cavitation_peening_Jet_bubble_growth_and_collapse_micro_jet_and_residual_stresses"><img alt="Research paper thumbnail of Modeling of cavitation peening: Jet, bubble growth and collapse, micro-jet and residual stresses" class="work-thumbnail" src="https://attachments.academia-assets.com/108085151/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/110192101/Modeling_of_cavitation_peening_Jet_bubble_growth_and_collapse_micro_jet_and_residual_stresses">Modeling of cavitation peening: Jet, bubble growth and collapse, micro-jet and residual stresses</a></div><div class="wp-workCard_item"><span>Journal of Materials Processing Technology</span><span>, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span 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simulation" class="work-thumbnail" src="https://attachments.academia-assets.com/108085149/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/110192098/Model_formulation_of_churning_losses_in_cylindrical_roller_bearings_based_on_numerical_simulation">Model formulation of churning losses in cylindrical roller bearings based on numerical simulation</a></div><div class="wp-workCard_item"><span>Tribology International</span><span>, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0ed3f98510541146b0c1ed8f4d95b4b0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" 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data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/110192045/Numerical_simulation_of_two_consecutive_nasal_respiratory_cycles_toward_a_better_understanding_of_nasal_physiology"><img alt="Research paper thumbnail of Numerical simulation of two consecutive nasal respiratory cycles: toward a better understanding of nasal physiology" class="work-thumbnail" src="https://attachments.academia-assets.com/108085103/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/110192045/Numerical_simulation_of_two_consecutive_nasal_respiratory_cycles_toward_a_better_understanding_of_nasal_physiology">Numerical simulation of two consecutive nasal respiratory cycles: toward a better understanding of nasal physiology</a></div><div class="wp-workCard_item"><span>International Forum of Allergy &amp; Rhinology</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">BackgroundComputational fluid dynamic (CFD) simulations have greatly improved the understanding o...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">BackgroundComputational fluid dynamic (CFD) simulations have greatly improved the understanding of nasal physiology. We postulate that simulating the entire and repeated respiratory nasal cycles, within the whole sinonasal cavities, is mandatory to gather more accurate observations and better understand airflow patterns.MethodsA 3‐dimensional (3D) sinonasal model was constructed from a healthy adult computed tomography (CT) scan which discretized in 6.6 million cells (mean volume, 0.008 mm3). CFD simulations were performed with ANSYS©FluentTMv16.0.0 software with transient and turbulent airflow (k‐ω model). Two respiratory cycles (8 seconds) were simulated to assess pressure, velocity, wall shear stress, and particle residence time.ResultsThe pressure gradients within the sinus cavities varied according to their place of connection to the main passage. Alternations in pressure gradients induced a slight pumping phenomenon close to the ostia but no movement of air was observed within...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="93901c96f16e4619b379f837f9f0cbdb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":108085103,"asset_id":110192045,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/108085103/download_file?st=MTczMjQzNjY4Myw4LjIyMi4yMDguMTQ2&st=MTczMjQzNjY4Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="110192045"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="110192045"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 110192045; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=110192045]").text(description); $(".js-view-count[data-work-id=110192045]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 110192045; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='110192045']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 110192045, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "93901c96f16e4619b379f837f9f0cbdb" } } $('.js-work-strip[data-work-id=110192045]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":110192045,"title":"Numerical simulation of two consecutive nasal respiratory cycles: toward a better understanding of nasal physiology","translated_title":"","metadata":{"abstract":"BackgroundComputational fluid dynamic (CFD) simulations have greatly improved the understanding of nasal physiology. We postulate that simulating the entire and repeated respiratory nasal cycles, within the whole sinonasal cavities, is mandatory to gather more accurate observations and better understand airflow patterns.MethodsA 3‐dimensional (3D) sinonasal model was constructed from a healthy adult computed tomography (CT) scan which discretized in 6.6 million cells (mean volume, 0.008 mm3). CFD simulations were performed with ANSYS©FluentTMv16.0.0 software with transient and turbulent airflow (k‐ω model). Two respiratory cycles (8 seconds) were simulated to assess pressure, velocity, wall shear stress, and particle residence time.ResultsThe pressure gradients within the sinus cavities varied according to their place of connection to the main passage. Alternations in pressure gradients induced a slight pumping phenomenon close to the ostia but no movement of air was observed within...","publisher":"Wiley","publication_date":{"day":null,"month":null,"year":2018,"errors":{}},"publication_name":"International Forum of Allergy \u0026amp; Rhinology"},"translated_abstract":"BackgroundComputational fluid dynamic (CFD) simulations have greatly improved the understanding of nasal physiology. We postulate that simulating the entire and repeated respiratory nasal cycles, within the whole sinonasal cavities, is mandatory to gather more accurate observations and better understand airflow patterns.MethodsA 3‐dimensional (3D) sinonasal model was constructed from a healthy adult computed tomography (CT) scan which discretized in 6.6 million cells (mean volume, 0.008 mm3). CFD simulations were performed with ANSYS©FluentTMv16.0.0 software with transient and turbulent airflow (k‐ω model). Two respiratory cycles (8 seconds) were simulated to assess pressure, velocity, wall shear stress, and particle residence time.ResultsThe pressure gradients within the sinus cavities varied according to their place of connection to the main passage. Alternations in pressure gradients induced a slight pumping phenomenon close to the ostia but no movement of air was observed within...","internal_url":"https://www.academia.edu/110192045/Numerical_simulation_of_two_consecutive_nasal_respiratory_cycles_toward_a_better_understanding_of_nasal_physiology","translated_internal_url":"","created_at":"2023-11-30T02:18:39.914-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":276795994,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":108085103,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/108085103/thumbnails/1.jpg","file_name":"alr.2208620231130-1-t98p92.pdf","download_url":"https://www.academia.edu/attachments/108085103/download_file?st=MTczMjQzNjY4Myw4LjIyMi4yMDguMTQ2&st=MTczMjQzNjY4Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Numerical_simulation_of_two_consecutive.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/108085103/alr.2208620231130-1-t98p92-libre.pdf?1701340618=\u0026response-content-disposition=attachment%3B+filename%3DNumerical_simulation_of_two_consecutive.pdf\u0026Expires=1732440283\u0026Signature=LTiSpyZGv0VJjPiWzGp7ptqHkma5PFU~cuNZ0pfASP~VzHAYoP1IuWGqnVU8NXh3p8kt4jpB-SUI0qlp3XCnm7EwGyNVPc054qCTvRQm2nmBovt9RexpClt1goF~O7VNEx1xM0LeaHXMivMRulrRq2UdI2qDeJU8lEQR5huVKd1gVNykZ3St5padrQwJPq4EiRh6XrVU3uhDrqTbpt~LDNue4mMepUM0ZgxP4iQpgxNcWhkt-Wc6V4wGOysqmt3-YZ7gKySzT7n1dkAQ-gQHNglVI79zdimzwbnW5Z~zdhzWss7-GkXFILYgVPpmGbEpRg4xedMrV5Gc~wk17OzAaA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Numerical_simulation_of_two_consecutive_nasal_respiratory_cycles_toward_a_better_understanding_of_nasal_physiology","translated_slug":"","page_count":10,"language":"en","content_type":"Work","owner":{"id":276795994,"first_name":"Nicolas","middle_initials":null,"last_name":"Boisson","page_name":"BoissonNicolas","domain_name":"independent","created_at":"2023-07-12T11:41:43.611-07:00","display_name":"Nicolas Boisson","url":"https://independent.academia.edu/BoissonNicolas"},"attachments":[{"id":108085103,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/108085103/thumbnails/1.jpg","file_name":"alr.2208620231130-1-t98p92.pdf","download_url":"https://www.academia.edu/attachments/108085103/download_file?st=MTczMjQzNjY4Myw4LjIyMi4yMDguMTQ2&st=MTczMjQzNjY4Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Numerical_simulation_of_two_consecutive.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/108085103/alr.2208620231130-1-t98p92-libre.pdf?1701340618=\u0026response-content-disposition=attachment%3B+filename%3DNumerical_simulation_of_two_consecutive.pdf\u0026Expires=1732440283\u0026Signature=LTiSpyZGv0VJjPiWzGp7ptqHkma5PFU~cuNZ0pfASP~VzHAYoP1IuWGqnVU8NXh3p8kt4jpB-SUI0qlp3XCnm7EwGyNVPc054qCTvRQm2nmBovt9RexpClt1goF~O7VNEx1xM0LeaHXMivMRulrRq2UdI2qDeJU8lEQR5huVKd1gVNykZ3St5padrQwJPq4EiRh6XrVU3uhDrqTbpt~LDNue4mMepUM0ZgxP4iQpgxNcWhkt-Wc6V4wGOysqmt3-YZ7gKySzT7n1dkAQ-gQHNglVI79zdimzwbnW5Z~zdhzWss7-GkXFILYgVPpmGbEpRg4xedMrV5Gc~wk17OzAaA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":512,"name":"Mechanics","url":"https://www.academia.edu/Documents/in/Mechanics"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":985144,"name":"Nose","url":"https://www.academia.edu/Documents/in/Nose"}],"urls":[{"id":36155116,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/alr.22086"}]}, dispatcherData: dispatcherData }); 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