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DATADVANCE is a Gold Sponsor of Automotive CAE Grand Challenge 2018

Join our experts at the booth and attend our Workshop in Hanau, Germany on 17-18 of April!


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Benchmark of Surrogate-Based Optimization Algorithms for Computationally Expensive Problems

The goal of this benchmark is to assess pSeven algorithms' efficiency while solving a wide variety of test optimization problems. The set of test problems was formed by general assumptions reflecting the features of real-world optimization problems.

By Taleh Agasiev, Senior Developer, DATADVANCE


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pSeven Beats MOPTA08 Automotive Benchmark

pSeven performs on MOPTA08 multidisciplinary design optimization benchmark introduced by Don Jones from General Motors.

By Dmitry Frolov, Marketing Director, DATADVANCE


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NX CAE Integration in pSeven

In this tech tip, we describe the integration process of NX CAE simulations into pSeven workflow using general approach.

By Dinara Shvarts, Application Engineer, DATADVANCE


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Mixing Quality Optimization of Static Helix Mixer

The objective of the project was to determine an optimal geometry of static helix mixer for Sulzer Mixpac, to obtain the best possible mixing performance with minimal pressure drop.

By Anton Saratov, Application Engineer, DATADVANCE


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S7 Airlines Implements Machine Learning in Aircrafts Maintenance

S7 Airlines and DATADVANCE completed the pilot project to develop predictive maintenance system for the Airbus A319 aircraft fleet.


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Contact Information

location_on  31100, Toulouse, Avenue du Général de Croutte 42

phone  +33 (0) 5 82-95-59-68

mail_outline  info@datadvance.net

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