Innovazione e gestione dei programmi sincronizzata e collaborativa per i nuovi programmi
Aerospaziale e difesa
Innovazione e gestione dei programmi sincronizzata e collaborativa per i nuovi programmi
EsploraIndustria automobilistica e trasporti
Integration of mechanical, software and electronic systems technologies for vehicle systems
Esplora il settoreProdotti di consumo e vendita al dettaglio
Innovazione dei prodotti attraverso la gestione efficace di processi integrati di formulazione, confezionamento e produzione
Esplora il settoreElettronica e semiconduttori
Lo sviluppo di nuovi prodotti si avvale dei dati per migliorare la qualità e la redditività riducendo costi e time-to-market
Esplora il settoreEnergia e utilità
Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assets
Esplora il settoreHeavy Equipment
Construction, mining, and agricultural heavy equipment manufacturers striving for superior performance
Explore IndustrySoluzioni per macchinari industriali e attrezzature pesanti
Integration of manufacturing process planning with design and engineering for today’s machine complexity
Esplora il settoreInsurance & Financial
Visibility, compliance and accountability for insurance and financial industries
Explore IndustrySettore navale
Innovazione nella cantieristica navale per ridurre i costi di sviluppo delle future flotte in modo sostenibile
Esplora il settoreMedia & Telecommunications
Siemens PLM Software, a leader in media and telecommunications software, delivers digital solutions for cutting-edge technology supporting complex products in a rapidly changing market.
Explore IndustryApparecchiature medicali e farmaceutica
"Innovazione di prodotto personalizzata" attraverso la digitalizzazione per soddisfare la domanda del mercato e ridurre i costi
Esplora il settoreSmall & Medium Business
Remove barriers and grow while maintaining your bottom line. We’re democratizing the most robust digital twins for your small and medium businesses.
Explore IndustryOptimizing pharmaceutical manufacturing with CFD and DEM
Optimizing pharmaceutical manufacturing with CFD and DEM
Simulation’s key roles in improving quality and efficiency
Mixing and granulation are two of the most significant unit processes involved in pharmaceutical manufacturing, and multiphysics simulation enables engineers to develop fundamental insights into both.
Simulations provide a window into the typically opaque processes occurring inside process equipment like reactors, mixers, granulators and dryers, allowing engineers to determine if key performance indicators are being met, how they can be improved, and to guide process scale-up.
In this webinar, engineers from Johnson & Johnson will discuss their use of multiphysics Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) to explore the efficiency of mixers and granulators used in their pharmaceutical manufacturing processes.
Multiphysics CFD predicts the coupled behavior of fluid, gas and particulate flows including heat and mass transport, providing an enhanced understanding of several key processes involved in pharmaceutical manufacturing. DEM simulates the motion of many interacting particles and tracks them in a numerically efficient manner, modeling contact forces and energy transfer due to collision and heat transfer between particles, which are particularly important in the design and optimization of mixing and coating processes. These simulations help identify the important factors for equipment design and for determining optimal equipment operating conditions.
In this webinar, process modeling engineers John Perrigue and Tim Kline of Johnson & Johnson will provide an overview of their use of simulation and highlight two examples of coupled CFD and DEM: assessing coating uniformity in a mixer and exploring improvements to the blend time in a granulator.
This webinar will provide an overview of the toolset used by Johnson & Johnson and how Simcenter was used to model key processes taking place in commonly used pharmaceutical manufacturing equipment including:
In addition, you’ll learn about the growing portfolio of Siemens simulation capabilities dedicated to the pharmaceutical industry (including the only simulation solution that includes native CFD + DEM capabilities).
John Perrigue
Senior Director, Digital Process Design, Johnson & Johnson Inc.
John joined Johnson & Johnson in 2004 within the pharmaceutical business sector. He has since worked in multiple roles and business sectors since joining J&J and has for the last 5 years been working on strategy and delivery of digital technologies and processes to support Industry 4.0 initiatives. John has over 32 years of experience in engineering and operations. He holds a BSc in Mechanical Engineering from University of Missouri-Rolla an MBA from Villanova University, and is a certified J&J Master Black Belt.
Timothy Kline
Process Modeling Engineer, Johnson & Johnson Inc.
Tim joined Johnson & Johnson in 2018 as a Process Modeling Engineer to support and shape modeling and simulation for process and production within the Consumer, Pharmaceutical and Medical Device businesses. He holds a BSc and MSc in Mechanical Engineering from Villanova University. Tim is subject matter expert within Discrete Element and Computational Fluid Modeling and has, most recently, been supporting the corporate effort to establish validation and verification best practices across the organization.
Glenn Longwell
Portfolio Development Executive, Siemens Digital Industries Software
After getting a BSc in Chemical Engineering, Glenn has worked for over 35 years in the Computer Aided Engineering (CAE) space helping companies implement and gain value from building digital twins of their products and/or processes. At Siemens Digital Industries Software Glenn works in a business development role predominantly in the process based industries. The role is to understand a company's business needs and find solutions to their product or process design challenges through physics-based simulation.
Gentile Bob (verrà sostituito con il vero nome durante la visita effettiva del sito Web)
Vorremmo sapere di più su di te.
si è verificato un errore con l'inoltro della pagina. Riprovare.
È la prima volta che ti iscrivi per ricevere e-mail di Siemens Digital Industries Software? Assicurati di dare il consenso all’iscrizione con l’e-mail che riceverai a breve.
Gentile Bob (verrà sostituito con il vero nome durante la visita effettiva del sito Web)
Hai accesso al webinar per una durata di 90 giorni. Clicca qui di seguito per iniziare la visualizzazione.
Simulation’s key roles in improving quality and efficiency
Mixing and granulation are two of the most significant unit processes involved in pharmaceutical manufacturing, and multiphysics simulation enables engineers to develop fundamental insights into both.
Simulations provide a window into the typically opaque processes occurring inside process equipment like reactors, mixers, granulators and dryers, allowing engineers to determine if key performance indicators are being met, how they can be improved, and to guide process scale-up.
In this webinar, engineers from Johnson & Johnson will discuss their use of multiphysics Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) to explore the efficiency of mixers and granulators used in their pharmaceutical manufacturing processes.
Multiphysics CFD predicts the coupled behavior of fluid, gas and particulate flows including heat and mass transport, providing an enhanced understanding of several key processes involved in pharmaceutical manufacturing. DEM simulates the motion of many interacting particles and tracks them in a numerically efficient manner, modeling contact forces and energy transfer due to collision and heat transfer between particles, which are particularly important in the design and optimization of mixing and coating processes. These simulations help identify the important factors for equipment design and for determining optimal equipment operating conditions.
In this webinar, process modeling engineers John Perrigue and Tim Kline of Johnson & Johnson will provide an overview of their use of simulation and highlight two examples of coupled CFD and DEM: assessing coating uniformity in a mixer and exploring improvements to the blend time in a granulator.
This webinar will provide an overview of the toolset used by Johnson & Johnson and how Simcenter was used to model key processes taking place in commonly used pharmaceutical manufacturing equipment including:
In addition, you’ll learn about the growing portfolio of Siemens simulation capabilities dedicated to the pharmaceutical industry (including the only simulation solution that includes native CFD + DEM capabilities).
John Perrigue
Senior Director, Digital Process Design, Johnson & Johnson Inc.
John joined Johnson & Johnson in 2004 within the pharmaceutical business sector. He has since worked in multiple roles and business sectors since joining J&J and has for the last 5 years been working on strategy and delivery of digital technologies and processes to support Industry 4.0 initiatives. John has over 32 years of experience in engineering and operations. He holds a BSc in Mechanical Engineering from University of Missouri-Rolla an MBA from Villanova University, and is a certified J&J Master Black Belt.
Timothy Kline
Process Modeling Engineer, Johnson & Johnson Inc.
Tim joined Johnson & Johnson in 2018 as a Process Modeling Engineer to support and shape modeling and simulation for process and production within the Consumer, Pharmaceutical and Medical Device businesses. He holds a BSc and MSc in Mechanical Engineering from Villanova University. Tim is subject matter expert within Discrete Element and Computational Fluid Modeling and has, most recently, been supporting the corporate effort to establish validation and verification best practices across the organization.
Glenn Longwell
Portfolio Development Executive, Siemens Digital Industries Software
After getting a BSc in Chemical Engineering, Glenn has worked for over 35 years in the Computer Aided Engineering (CAE) space helping companies implement and gain value from building digital twins of their products and/or processes. At Siemens Digital Industries Software Glenn works in a business development role predominantly in the process based industries. The role is to understand a company's business needs and find solutions to their product or process design challenges through physics-based simulation.