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Breaking down silos with Business Process Management

Business Process Management maximizes the scope of SPDM software solutions by ensuring full traceability and interconnectivity in the engineering design processes.

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Solve complex MDAO studies in a fraction of the time using a validated advanced panel method

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.

A detail of Morpheus Hotel building design
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Balancing multiple disciplines in AEC

ESTECO Technology helped Bouygues Construction automate the simulation process to identify appropriate designs quicker.

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Webinar
Optimizing rear-seat restraint system considering a diverse population using Madymo and modeFRONTIER
​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.
Success Story
Petrobras Designs the P-55 platform using modeFRONTIER
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.
Webinar
Formula 1 front wing composite material Multi Objective Optimization using Ansa, μeta and modeFRONTIER
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​
Success Story
Diesel fuel efficiency takes shape with optimization
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.
Webinar
Integrating Prescan with modeFRONTIER for test automation of active safety systems
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
Webinar
Aeroacoustic Optimization with PowerFLOW and modeFRONTIER at Jaguar Land Rover
This webinar, co-hosted by ESTECO and Exa Corporation, demonstrates the improvement of a side mirror aeroacoustic performance at Jaguar Land Rover, through PowerFLOW CFD simulation and modeFRONTIER optimization analysis. Watch it to know more about: modeFRONTIER enhanced optimization and integration features Exa PowerFLOW CFD simulation advanced features How to integrate the software solutions and benefit from joint analysis
Webinar
Optimizing the timing system on a small 2-wheeler engine with GT-Suite and modeFRONTIER
​This webinar hosted by ESTECO and Gamma Technologies illustrates the benefits of integrating their technologies by focusing on a real-world industrial case. Francesco Maiani from Piaggio & C., together with ESTECO and Gamma Technologies experts, speaks about the improvement of the timing system on a small 2-wheeler engine by leveraging GT-SUITE simulation capabilities and modeFRONTIER optimization analysis platform. Download the case study Watch this webinar to know more about: modeFRONTIER enhanced optimization and integration features GT-SUITE simulation advanced features How to integrate the software solutions and benefit from joint analysis
Success Story
Optimized Valvetrain System Boosts Two-wheeler Performance at Piaggio
Piaggio & C. s.p.a. uses modeFRONTIER optimization capabilities to improve a 125cc 4-valve engine design The Piaggio Group is the largest European manufacturer of two-wheel motor vehicles and one of the world leaders in its sector. Headquartered in Italy and with Technology & Innovation centers located in India, China and Vietnam, Piaggio is known for its unique range of two-wheel and light transport powertrain vehicles. The company’s R&D activities focus mainly on reducing the environmental impact of its products and improving vehicle efficiency, performance and passenger safety. For many years now, Innovation & Research engineers have been using modeFRONTIER to achieve these design objectives. ## Challenge Reducing the environmental impact of two-wheeler engines, in other words, increasing overall engine efficiency, means, amongst other things, opting for engine downspeeding or downsizing strategies, with the need of reducing engine friction; however, in order to maintain or improve vehicle performance, this requires an increase in specific engine power. The use of numerical models and calculation methodologies provide important support in pursuing these goals. In this case, the design of valve lift events and the valve train components are crucial when taking into account multiple engine issues like valve train systems stability, durability, resisting torque and engine breathing. ## Solution Starting with the baseline valve lift profiles of a 125cc 3-valve engine, engineers at Piaggio set up an automatic workflow within the modeFRONTIER environment that piloted the GT-SUITE calculation in order to evaluate the engine performance and the valve train system behavior in relation to specific valve lift profiles. “With this automated optimization approach we were able to avoid manual, time-consuming tasks involved in modifying the valve lift event in closed loop and to gain control of the entire system behavior”, says Francesco Maiani, Engine Calculation Engineer from Piaggio & C. s.p.a. ## Benefits “modeFRONTIER allowed us to adopt a modular approach to the problem that led us to the final valve lift event design. This methodology made it possible to define the valve lift event and support the analyst during the design of a cam profile. The optimization process sought to improve the system in terms of kinematic and dynamic characteristics and thermodynamic performance requirements”. This allowed engineers to simultaneously modify both the valve springs setup and the cam profile shapes, conveying the required response for the engine friction reduction. Additionally, the whole timing system benefitted from this procedure, also improving stability and durability.
Webinar
Multiobjective aerospace mission performance optimization with Systems Tool Kit (STK) and modeFRONTIER
This joint webinar by ESTECO and Analytical Graphics, Inc. (AGI) focuses on the integration of the two companies' technologies. Learn how to exploit the state-of-the-art software technologies provided by ESTECO (modeFRONTIER) and AGI (STK) in an integrated approach that allows the capability to perform multiobjective studies and trade-off analysis between mission performance and cost. A demonstration will show how to set up and execute this integrated modeling and optimization process. Agenda Overview of Systems Tool Kit 10.1.3 Focus on the integration capabilities of modeFRONTIER and STK with optimization-related functionalities Real world case studies: \>> Optimization of a satellite constellation to minimize imagery revisit time and cost. \>> Optimization of an aircraft system to maximize image resolution while minimizing observability.
Webinar
Optimizing the Polestar touring car performance with modeFRONTIER and Adams
In this webinar Per Blomberg from Polestar presents a real-world case and illustrates the optimization of a Polestar touring car performance with modeFRONTIER and Adams​. Experts Roel Van De Velde and Yijun Fan, respectively from ESTECO and MSC Software, also discuss the advantages​ of combining their proprietary technologies. Download the case study | Optimization Wins the Race Against Time at Polestar.