RESOURCE LIBRARY

​In this webinar Alberto Clarich (Technical Manager, ESTECO) presents the modeFRONTIER 2016 approach of dealing with uncertainties is based on Multi-Objective Robust Design Optimization (MORDO). This consists of investigating the noise factors in the neighborhood of a sample design with a given probability distribution. While tackling optimization within manufacturing process, engineers face uncertainty with regards to design variables and problem parameters from various sources. These uncertainties impact the optimization process both in terms of reliability and in terms of robustness. Using modeFRONTIER, this case applied a multi-objective optimization algorithm to optimize mean values while minimizing their variations. Highlights: Theory and real world applications about Robust Design and Polynomial Chaos Efficient methodologies for large number of uncertainties Robust Design Optimization and Reliability-based Optimization

​In this webinar Alberto Clarich (Technical Manager, ESTECO) and Giulio Cassio (Application Engineer, ESTECO) demonstrate how modeFRONTIER provides new advanced features for project complexity handling: a dedicated panel for workflow setting (Workflow Global Properties), the Design Space Node, the improved Subprocess Node and many more. Watch it and learn how: Automate the execution of complex chains of preprocessing and simulation tools with modeFRONTIER. Take advantage of the very flexible workflow and the wide range of direct integration nodes for the most popular simulation tools. Optimize your design choosing among of innovative algorithms to determine the set of best possible solutions combining the complex set of opposing objectives.

This webinar, cohosted by ESTECO and Ansys, demonstrates the benefits of using the new integration between Ansys HPC Parametric Pack and modeFRONTIER 2016 by presenting the results of two industrial application in the automotive field. Why watching this webinar? This webinar give insights on how to better leverage company's private cloud or HPC systems for faster simulation analysis. The case studies will show how to make the use of computational resources more efficient and save time with the joint use of the newly released modeFRONTER 2016 and ANSYS WB HPC Parametric Pack, that will make design optimization projects execute faster.​ ​​The first application was developed by BorgWarner Morse system and EnginSoft, dealing with the optimization of a tensioner arm. The second case study is aimed at improving the design of heat exchangers and part of an EU funded project, OptimHex.

​This webinar presents a smart combination of modeFRONTIER with the PowerFLOW Suite.​​ ESTECO and Exa integrate their software platform to serve the automatic creation of highly accurate RSM models purpose. The combination of the adaptive sampling of the new modeFRONTIER ASF algorithm and the Exa's high-performance simulation and visual flow analysis tools leads engineers to an enhanced understanding of trends seen in the generation of new design options. Watch this webinar to learn more about: A smart filling strategy of ASF perfectly to create automatically of highly accurate RSM models purpose. How CFD analysts and designers can fully exploit the advanced prediction capability of Exa's PowerFLOW and obtain high-fidelity simulation of real-world flow conditions without compromising geometric detail for a smaller number of significant and better performing designs.

In this webinar, Danilo Di Stefano (Product Manager at ESTECO) and Alberto Clarich (Technical Manager at ESTECO) demonstrate the newly added RSM Trainer Node, and how to combine it with the innovative Adaptive Space Filler (ASF) and other analytics tools in modeFRONTIER. RSM-based optimization is an excellent strategy to manage heavy simulation processes: by acting as surrogates of simulation models, RSMs let engineers fast-run the classic optimization process. Why watching this webinar? This webinar give insights on the advanced RSM capabilities included in modeFRONTIER Discover the new automation of RSM training and learn how to re-use the model both for the same workflow and other projects​​ Find out how the new Adaptive Space Filler combines state-of-the-art space filling strategies with the predictive ability of response surfaces. Get to know two real-world case studies leveraging modeFRONTIER RSM capabilities

​In this webinar ESTECO, TASS International and Jingwen Hu from the ​University of Michigan, as guest speaker, present the successful integration of their technologies to optimize a rear-seat restraint system considering a diverse population.​​​ Together they will present a project where the rear seat restraint systems was optimized for 6 to 12 year-old children, adults and infants through sled tests and computational simulations leveraging the integration within MADYMO and modeFRONTIER. Watch this webinar to learn more about: The integrated use of MADYMO and the optimization platform modeFRONTIER​ How modeFRONTIER and Madymo helped the University of Michigan Transportation Research Institute biosciences group simultaneously improving the rear seat occupant protection for all age groups.

How ESTECO’s first Brazilian customer optimized the largest semi-submersible platform in the country Last year Petrobras, a state-owned publicly traded Brazilian multinational energy corporation headquartered in Rio de Janeiro, Brazil, launched their P-55 offshore platform, which was initially sized using modeFRONTIER. In order to tackle the complex problem of multiple variables, constraints and objectives, as well as a desire for a rational approach to the design process, Petrobras turned to modeFRONTIER to help them with the optimization study. ## Challenge Defining the main dimensions of an offshore production platform is a complex problem due to the many variables that can influence the behavior of the platform, including: deck area, deck weight, subsea systems interface, stability issues and wave-induced motions. The dimensioning process is affected by many constraints imposed by more stringent motion requirements, construction and assembly considerations, as well as by the draft limit of shipyards. Ultimately the goal is to reduce to a minimum the vertical wave-induced motions which can cause fatigue damage to the steel catenary risers (the pipes which bring the oil from the seabed to the platform) ## Solution Dr. Mauro Costa de Oliveira, a naval architect at CENPES, the Petrobras Research Center in Rio, and the first user of modeFRONTIER in Brazil, used the software to integrate the hydrodynamics analysis tool, WAMIT, and CENPES’s own stability software, SSTAB. He then went on to run an optimization study in which modeFRONTIER varied 5 key geometric parameters of the platform with the objective of minimizing, subject to numerous constraints, vertical motion of the platform due to wave loading. During the study, the structure was analyzed for multiple conditions: quayside, transit and in operation with 2 different wave load conditions. Using one of modeFRONTIER’s genetic algorithms to drive the search process, Dr Costa de Oliveira was able to identify the designs which met all the constraints, and from among those to select the configuration with the lowest riser vertical motion. The feasible region (ie the part of design space where all constraints were respected) is very small - to identify this region without the help of a tool like modeFRONTIER would have been almost impossible. The final design is shown in Fig. 2. ## Benefits “modeFRONTIER - Dr Costa de Oliveira says - proved to be invaluable in helping us to address the complex problem of selecting the main dimensions of a deep water floating production system, where there is potentially a huge number of alternatives to be evaluated. The software allowed us to rationalize our approach to the problem and conduct an automatic search, driven by a genetic algorithm, which quickly identified the best design which met all constraints. The post-processing tools also proved to be extremely useful for the conceptual phases of the design of a deep water floating production system”. In January 2014 the P-55 began operation in Brazil’s Roncador field at a site where the depth of the seabed is 1,800 meters. At 52,000 tons and 10,000 square meters in size and displacing 105,000 tons, the P-55 is the largest semi-submersible platform built in Brazil and one of the largest of its kind in the world; it is capable of processing 180,000 barrels of oil per day , compressing 6 million cubic meters of natural gas per day, and injecting 290,000 barrels of water per day.

In this webinar ​ESTECO and BETA CAE present the successful integration of their technologies to optimize the weight and the angle of attack of a Formula 1 front wing through a two-step approach​. Roel Van De Velde from ESTECO and Dimitrios Drougkas from BETA CAE Systems S.A. illustrate a project where a remarkable improvement in a Formula 1 front wing through ANSA / μETA pre- and post- processing suite​ and modeFRONTIER optimization analysis was achieved. Watch this webinar to learn more about: modeFRONTIER enhanced optimization and integration features ANSA / μETA​ advanced features How to integrate the software solutions and benefit from joint analysis​

ISUZU Advanced Engineering Center (IAEC) enhances fuel efficiency by optimizing the combustion chamber design In the debate on how best to tackle the impact of vehicles on environment, the improvement of diesel engine efficiency has emerged as a transitory but effective solution, especially for heavy-duty vehicles and passenger cars. Designers at the ISUZU Advanced Engineering Center (IAEC) have analyzed how to enhance fuel efficiency by modifying the shape of the diesel engine combustion chamber. ## Challenge Theoretical thermal efficiency affects fuel consumption in diesel engines and one way of improving it is to increase the combustion chamber compression ratio. The resulting higher in-cylinder temperature and the expansion of the impingement area between fuel spray and chamber wall, however, can cause the chamber wall to heat up and lower theoretical efficiency. The team at IAEC looked at a new way of lowering heat loss by studying the combustion chamber shape, preventing the volumetric inefficiencies and cost and durability issues, which other methods caused. Solution To analyze the impact of the different chamber shapes, the team first defined the chamber outline and spray angle2 and adjusted it to match a given baseline compression ratio. The computational mesh was then created with CONVERGE CFD and modeFRONTIER was used to pilot the 3D-CFD simulations. “In this way, we were able identify the shapes with the maximum cumulative heat release and work, and – at the same time - the minimum heat loss” says Takashima, Chief Engineer Powertrain Product Planning at IAEC. ## Benefits “The shape with the highest cumulative rate of heat release was analyzed in depth. We compared it to calculated heat release rates and cylinder gas temperature profiles of re-entrant-type and shallowdish-type chambers and, later, verified it using experimental data from a single-cylinder engine. The optimized chamber improved fuel consumption by 3.2% compared to its shallow dish type counterpart. modeFRONTIER helped us spot the optimal shape and further analyze the delicate tradeoffs regarding the thermal balance” concluded Arato.

This webinar, hosted by ESTECO and TASS International, illustrates the successful automation of Prescan test routines by combining it with modeFRONTIER. The Automated Emergency Braking use case - originally performed manually with Matlab - demonstrates how engineers can take advantage of modeFRONTIER workflow automation capabilities and speed up the test process. Watch this webinar to find out more about: modeFRONTIER enhanced automation and optimization features TASS software solution features How to integrate the software solutions and benefit from joint analysis