I am pleased to invite you to watch my presentation that I held at the 5th Wind & Drivetrain Conference on April 6, 2022.
My name is Claus B. W. Pedersen and I work as a Technology Director for the Multiphysics/Multidiscipline domain — Structures Science & Technology of R&D SIMULIA, Dassault Systèmes. I examine the technology of new optimization methodologies, coding of CAE, and worldwide presale. My role is highly interdisciplinary, working with different teams and organizations involving crossover brand activities from R&D to presale on the latest technology and corporations with leading international universities.
In total, I have worked in the field of optimization for 20 years and have focused on industrial optimization, developing solutions and apps for function-driven generative design and digital continuity on the 3DEXPERIENCE® Platform, non-linear adjoint solver technology in the Abaqus framework, and other Multiphysics solvers, traditional and additive manufacturing constraints. As I work daily with technologies in industrial design workflows applying to many sectors, i.e., aerospace, transportation, renewable energy, high tech, life sciences, and construction, I have also specialized in structural optimization solutions for wind turbine components.
Abstract:
The present work addresses the challenging topic of methodical obtaining new conceptual designs for structural wind turbine components and improving the existing structural designs of wind turbines.
Typically, topology optimization is applied in the early design phase, where the optimization targets minimize mass considering stiffness, strength, and manufacturing requirements. Topology optimization provides the ability to make early decisions in the mechanical design cycles and reduce costs.
Sheet thickness sizing of non-linear optimization is applied to maximize buckling and post-buckling loading capacity and at the same time minimize mass subject to strength and linear modal eigenfrequency requirements.
For shape optimization, the CAE mesh is adapted where the objective is to minimize the stress or minimize the damage and thereby maximize the safety factors.
Lastly, we address one of the main obstacles in embedding non-parametric optimization methods in the product design process: the lack of efficient CAD- reconstruction methods. To the author’s knowledge, this is the first dedicated workbench for CAD-reconstructed of non-parametric optimization results. Additionally, the process is integrated into the 3DEXPERIENCE platform allowing a complete associated design workflow.
Please see below for the presentation slides and a live recording from the event:
PDF:
Live Recording:
Please feel free to use the comments section below to ask any questions that you may have or start a discussion with your peers.
@CP
Technology Director at the Multiphysics/Multidiscipline domain R&D SIMULIA — Dassault Systèmes
Use the hashtags below to see other posts about MBS-related topics.
Simpack Multibody Dynamics Multibody Simulation Motion Multibody System Simulation Wind Turbine Dynamics Wind Turbines Drivetrain Wind Turbine Engineering Automation & Optimization Tosca
