RESOURCE LIBRARY

ESTECO and Research in Flight showcase the optimization of a propeller geometry to meet stakeholders' goals in a complex, changing environment. In this joint webinar, ESTECO and Research in Flight showcase the optimization of a propeller geometry to meet stakeholders' goals in a complex, changing environment of multiple competing requirements and key performance metrics. This webinar demonstrates how this class of problem can be addressed by combining ESTECO's efficient server-based approach to Multidisciplinary Design Analysis and Optimization (MDAO) technology with Research in Flight's state-of-the-art, versatile, fast, and powerful aerodynamic analysis tools. Agenda: Overview of ESTECO and Research in Flight Case study: the optimization of a propeller geometry to meet stakeholders' goals in a complex, changing environment of multiple competing requirements and key performance metrics. FlightStream Problem Setup/Definition VOLTA Problem Setup/Definition Optimization results and conclusions

This webinar demonstrates how to introduce a modern design-simulate-optimize workflow in a product development cycle. The joint webinar is co-hosted by Aaron Magnin, Partner Success Manager at Onshape, Steve Lainé, Application Engineering Manager at SimScale and Gabriele Degrassi, Support Engineer at ESTECO. They present a design-simulate-optimize workflow relying on simulation tools built on the latest cloud computing technology, currently the only technical platform that can deliver on the promise of liberating engineers from legacy software constraints and hardware limitations. Agenda: Onshape/PTC - live demo SimScale - live demo ESTECO - live demo

This webinar demonstrates the added value of combining their technologies for a server-based optimization of an EXPEDITE (EXPanded MDO for Effectiveness Based DesIgn TEchnologies) derived preliminary aircraft design. Watch this webinar and learn more about: EXPEDITE-like modern aircraft conceptual design project** Coupling Pacelab APD preliminary aircraft design platform with modeFRONTIER** Aircraft Design with PACE Model-based technology and VOLTA web collaborative platform for MDO (live demo)** loghi.png

This webinar demonstrates the use of the electro-mechanical FEA solution JMAG for modeling and analysis of the electric machine and modeFRONTIER for simulation process automation and optimization. Adarsh Viji Elango from ESTECO, and Sainan Xue and Dheeraj Bobba from Powersys Inc. present the design process of a highly constrained multi-dimensional rotor geometry for an electric traction machine using principles of multi-objective optimization. Agenda: Introduction to Synchronous Reluctance Machines (SynRM) Baseline SynRM design and model setup in JMAG Input design space definition and performance criterion Integration of JMAG model in modeFRONTIER DOE and Optimization Set-Up in modeFRONTIER Optimization result analysis and design selection

This webinar demonstrates the added value of integrating nTop platform with modeFRONTIER Multidisciplinary Design Optimization (MDO) software through nTopCL to act as an unbreakable generative geometry node. This opens up new and unique possibilities for advanced engineering design exploration. Gaurish Sharma of ESTECO and Evan Pilz of nTopology show how to set up, run, and evaluate the results of an automated Topology Optimization DoE to identify a truly optimal solution. Agenda: Automate DoE in modeFRONTIER and pass design parameters to nTop Platform Generate part geometry using topology optimization and automated post-processing Evaluate the results in ANSYS and select the best design using statistical methods

This webinar presents how modeFRONTIER robust and reliability-based optimization capabilities can be applied to avoid opting for designs that perform well on paper, but under-perform in real life. Danilo Di Stefano (Product Manager) and Alberto Clarich (Technical Manager) introduce the Quality Engineering module available in modeFRONTIER. They present how robust and reliability-based optimization can be applied to leave out designs that perform well on paper, but under-perform in real life. Quality Engineering allows to perform a robust analysis in those cases where the variable is affected by a non-probabilistic deviation, or noise. Agenda: ROBUST DESIGN & RELIABILITY - Manage uncertainties with ESTECO technology QUALITY ENGINEERING - A new Robust Design method available in modeFRONTIER modeFRONTIER PLANNER - A modular interface to set-up design exploration, optimization and robust design campaigns easier

This webinar presents a methodical way of optimization of Kinematics and Compliances (K&C) performance by linking the models developed in Adams Car with modeFRONTIER for end to end process automation and numerical optimization. Experts from ESTECO and MSC Software explain vehicle suspension systems which are made up of many components including springs, dampers, bushings, hardpoints, etc. Each of these components plays a critical role in Kinematics and Compliances (K&C) of suspension systems. Manually evaluating K&C of a system is also a tedious task considering multiple number of events that must be considered i.e. parallel wheel travel, roll, etc. Thanks to ESTECO's design optimization and simulation process integration and automation technologies, the coupling of Adams Car and modeFRONTIER accelerate and ease the process, leading to an optimal combination of these parameters which results in the desired K&C results for all events.

This webinar demonstrates the benefits of a server-based Multidisciplinary Design Optimization (MDO) approach and Simulation and Process Data Management (SPDM). With a server-based approach, large MDO workflows can be easily managed and collaboration can be stimulated through a modern web interface which is accessible anytime, anywhere. On the execution side, a server-based approach offers many advantages related to distributed execution enabling hybrid compute infrastructures. SPDM is an important aspect of server-based MDO since it manages the ownership, version control and permissions of all the data and models needed to build and execute complex workflows. With SPDM, MDO becomes a team effort instead of an ‘expert-only’ exercise. Workflows can be quickly upgraded or rolled back to a known state, simplifying the debugging and editing process.

This webinar explains how to create a response surface or mathematical model that can be used to predict the results of a new set of experiments, without having to execute those experiments. This technique is especially useful for computationally expensive simulations such as 3D FEA or CFD, where runtimes of hours or even days can be reduced to seconds. Watch this webinar and learn more about the importance of response surface modeling in simulation based design, the various algorithms and strategies of implementation.

This webinar showcases how to perform Parametric Optimization in modeFRONTIER. Parametric optimization is a computer algorithm driven automated process that modifies the problem parameters to find the optimum, or Pareto set of optimums, within a predefined design space, taking objectives and constraints into account. This iterative method allows simulation based design processes to be driven to achieve predefined targets, or to minimize or maximize certain performance characteristics. Watch this webinar and learn more about the importance of parametric optimization, the different algorithms used, strategies and some representative industrial cases.