COMSOL Day: Design Optimization
See what is possible with multiphysics simulation
The full potential of multiphysics simulation goes beyond using single calculations to verify prototype specifications: Innovative engineers and engineering organizations use simulation to optimize their designs for performance and efficiency. For example, shape and topology optimization can be used to view geometry changes as the optimal design is reached, while parameter estimation is useful for inverse problems where the physics is known but the input parameters are not. The process of optimization can be complex, involving nonlinear phenomena with often surprising results. No matter what physics are involved, specialized solver algorithms are needed to make the most of existing optimization techniques.
COMSOL Day: Design Optimization will feature a keynote presentation by an experienced COMSOL® user and include a full program describing optimization in COMSOL Multiphysics®, with a focus on the features of the Optimization Module. Join us for this free, 1-day online event to learn how to bring the power of optimization to your multiphysics simulations.
Multiphysics modeling and simulation has proven to be a crucial part of the design of innovative products and processes. Optimization and uncertainty quantification build upon this innovation, and utilizing these methods systematically leads to even better designs. As of version 6.0, the COMSOL Multiphysics® software features computationally advanced optimization and uncertainty quantification functionality that can be applied to designs and processes involving any physics phenomenon.
In this session, we will show how COMSOL Multiphysics® enables you to build both of these methods into any multiphysics model using the Model Builder. We will also show how your organization can benefit from optimization and uncertainty quantification by using simulation apps created with the Application Builder. Finally, we will demonstrate how the Model Manager allows you and your team to organize and collaborate around models and apps.
Multiphysics modeling can be used to describe a design with exceptional accuracy. COMSOL Multiphysics® gives you the ability to account for the impact of every input parameter on the output of a model. Its built-in optimization methods significantly increase efficiency in the design process by optimizing a model's parameters.
In this session, we will use application examples to demonstrate how COMSOL Multiphysics® and the Optimization Module can be used to reach design goals.
COMSOL Multiphysics® features state-of-the-art methods for modeling fluid flow, heat transfer, conjugate heat transfer, and reacting flow, including the ability to solve for coupled fluid flow and heat transfer, and any other relevant phenomena. This gives you a competitive advantage, particularly when optimizing the inputs and operating conditions of a process to minimize costs and maximize performance.
In this session, we will demonstrate how COMSOL Multiphysics® and the Optimization Module can be used to solve design challenges involving fluid flow, heat transfer, and reacting flow.
The need to improve the design and optimization of acoustic devices has increased for many reasons, including acoustics performance, device size and placement, aesthetic, and material choice and cost. COMSOL Multiphysics® has long been used to model such devices due to its inherent ability to couple acoustics with other physics phenomena, such as piezoelectricity, as well as use state-of-the-art optimization methods.
This session will present how shape optimization is integral to components within speakers and microphones using COMSOL Multiphysics®, the Optimization Module, and the Acoustics Module.
On the Use of Topology Optimization for Improving Heat Transfer in Molding Processes
In the plastics industry, a key objective is to control heat transfer. One way to achieve this goal is to design an effective cooling system. Topology optimization for fluid flow and heat transfer can help to find an optimal cooling system design. Additionally, in some areas of the mold where it is not possible to design cooling systems, a highly conductive material such as a copper pin is often used. In this case, the optimal distribution of the highly conductive material is of great importance. The choice of the algorithm can also strongly impact the result. In this presentation, an example is shown using an injection blow mold.
Chemical engineering processeses involve many parameters that can impact the performance of a reactor, mixer, separator, or any other equipment for unit operations. The variations of these process parameters result in uncertainties in the performance of the process, quality of the products, and risk for violating safe operating conditions.
In this session you will learn about the different methods available in the Uncertainty Quantification Module for performing screening and sensitivity of different parameters, uncertainty propagation, and other analyses. This add-on product to COMSOL Multiphysics® quantifies risk into acceptable ranges that are more informative than using deterministic methods. Using an example from the chemical industry, we will show you the advantages and practical uses of probabilistic methods and the Uncertainty Quantification Module.
Shape, topology, and parameter optimization methods are crucial for efficient mechanical design. COMSOL Multiphysics® is an established platform for implementing these methods: the Optimization Module enables you to comprehensively optimize your designs with a wide array of algorithms applied to mechanics, all in the same interface and workflow.
In this session, you will receive an overview of design optimization with COMSOL Multiphysics® and explore examples of how to achieve good mechanical performance.
Sales and Marketing Manager
Per Backlund has been with COMSOL since 1995. He has devoted his professional career to technical computing and has introduced the concept of simulation to a large number of organizations and industries.
Technology Manager, Optimization
Kristian E. Jensen joined COMSOL in 2018 as the product manager for the Optimization Module. He studied at the Technical University of Denmark, where he worked on topology optimization and differential constitutive equations for viscoelastic flow. He studied the combination of mesh adaptation and topology optimization at Imperial College London.
Technical Support Manager
Linus Andersson is an applications engineer providing technical support within COMSOL and to customers worldwide, specializing in electromagnetic and acoustic simulations. Linus joined COMSOL in 2003, after receiving his MS degree in engineering physics at the Royal Institute of Technology in Stockholm, and completing his diploma thesis at CERN.
Technology Director, Heat Transfer
Nicolas Huc joined COMSOL France in 2004 and is currently the head of their development team. He is also the manager of the Heat Transfer Module. Nicolas studied engineering at ENSIMAG before receiving his PhD in living system modeling from Joseph Fourier University.
Fanlong Meng is a senior developer at COMSOL. He has worked with uncertainty quantification and solver and numerical analysis. He graduated with a doctorate in mechanical engineering from Rensselaer Polytechnic Institute, where he conducted research on numerical partial differential equation solvers and domain decomposition.
Technical Support Manager
Colas Joannin is a graduate engineer from École Centrale de Lyon and obtained a PhD in non-linear dynamics working for the Safran group. He manages technical support and training courses activities at COMSOL France.