BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Zagreb BEGIN:DAYLIGHT DTSTART:20250330T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20251026T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250922T105531Z UID:673B3DB4-AB42-4499-8F45-6A4192809AE8 DTSTART;TZID=Europe/Zagreb:20250919T143000 DTEND;TZID=Europe/Zagreb:20250919T180000 DESCRIPTION:In this tutorial\, we will examine the study and practical impo rtance of particle-laden flows ranging\nfrom dilute suspensions of spheric al rigid droplets to inhomogeneous soft deformable particles. Particulate\ nsystems are widely used in various industries such as cement\, petrochemi cal\, wastewater treatment\, and\npharmaceutical\, where different types o f particles are transported\, mixed\, stored\, or segregated. In addition\ ,\nnonspherical particles are widely present in nature\, from the composit ion of blood to dust particles in the air.\nOn the other hand\, not all pa rticles are rigid nor are they homogenous. Research in the field of soft d eformable\nparticles is less established. Nevertheless\, there are relevan t examples of suspensions\, both of industrial and\nscientific interest\, where the suspension consists of soft\, non-linearly deformable micron- an d submicron-\nsized particles that have a non-spherical shape due to the d eformability of the particles. These particles\ninclude microgels\, filled polymers\, biological cells\, as well as liquid droplets\, vesicles and l iquid capsules\, with\nelastic or viscoelastic properties. To model or con trol systems which include these soft\, deformable particles\,\nthe govern ing physics of the particle system must be well understood. We will showca se how by simulating\nairflow patterns using computational fluid dynamics (CFD)\, we can model how droplets containing pathogens\nare dispersed duri ng human activities such as breathing or coughing. These simulations provi de insights into\nthe physical mechanisms involved and help assess infecti on risks. CFD tools also enable the evaluation of\nshort-term\, short-rang e flow dynamics\, aiding in the prediction of droplet dispersion patterns. We will stress\nthe importance of accurate modeling\, as it informs strat egies to mitigate disease spread. For instance\,\nimproving air quality ma nagement can reduce exposure to pathogen-laden particles\, thereby lowerin g\ninfection risks. Additionally\, understanding the dynamics of particle motion helps identify key factors\ninfluencing transmission\, such as drop let size\, velocity\, and trajectory.\nBeyond the specific case of COVID-1 9\, these we will present the broader implications of particle-laden flows \nin various environmental and industrial applications by focusing on non- spherical\, inhomogeneous and\ndeformable particles and showcase the integ ration of advanced computational tools with physical modeling\nas a powerf ul approach to addressing complex flow problems.\n\nSpeaker(s): Jure Ravni k\, \n\nRoom: KAKTUS\, Radisson Blu Resort & Spa\, Split\, Put Trstenika 1 9\, Split\, Splitsko-Dalmatinska\, Croatia\, 21000 LOCATION:Room: KAKTUS\, Radisson Blu Resort & Spa\, Split\, Put Trstenika 1 9\, Split\, Splitsko-Dalmatinska\, Croatia\, 21000 ORGANIZER:Maja.Skiljo@fesb.hr SEQUENCE:26 SUMMARY:Simulation and modelling of particle laden flows URL;VALUE=URI:https://events.vtools.ieee.org/m/501154 X-ALT-DESC:Description: <br /><p>In this tutorial\, we will examine the stu dy and practical importance of particle-laden flows ranging<br>from dilute suspensions of spherical rigid droplets to inhomogeneous soft deformable particles. Particulate<br>systems are widely used in various industries su ch as cement\, petrochemical\, wastewater treatment\, and<br>pharmaceutica l\, where different types of particles are transported\, mixed\, stored\, or segregated. In addition\,<br>nonspherical particles are widely present in nature\, from the composition of blood to dust particles in the air.<br >On the other hand\, not all particles are rigid nor are they homogenous. Research in the field of soft deformable<br>particles is less established. Nevertheless\, there are relevant examples of suspensions\, both of indus trial and<br>scientific interest\, where the suspension consists of soft\, non-linearly deformable micron- and submicron-<br>sized particles that ha ve a non-spherical shape due to the deformability of the particles. These particles<br>include microgels\, filled polymers\, biological cells\, as w ell as liquid droplets\, vesicles and liquid capsules\, with<br>elastic or viscoelastic properties. To model or control systems which include these soft\, deformable particles\,<br>the governing physics of the particle sys tem must be well understood. We will showcase how by simulating<br>airflow patterns using computational fluid dynamics (CFD)\, we can model how drop lets containing pathogens<br>are dispersed during human activities such as breathing or coughing. These simulations provide insights into<br>the phy sical mechanisms involved and help assess infection risks. CFD tools also enable the evaluation of<br>short-term\, short-range flow dynamics\, aidin g in the prediction of droplet dispersion patterns. We will stress<br>the importance of accurate modeling\, as it informs strategies to mitigate dis ease spread. For instance\,<br>improving air quality management can reduce exposure to pathogen-laden particles\, thereby lowering<br>infection risk s. Additionally\, understanding the dynamics of particle motion helps iden tify key factors<br>influencing transmission\, such as droplet size\, velo city\, and trajectory.<br>Beyond the specific case of COVID-19\, these we will present the broader implications of particle-laden flows<br>in variou s environmental and industrial applications by focusing on non-spherical\, inhomogeneous and<br>deformable particles and showcase the integration of advanced computational tools with physical modeling<br>as a powerful appr oach to addressing complex flow problems.</p> END:VEVENT END:VCALENDAR