FRIENDSHIP SYSTEMS is one of the research partners in the MariData R&D project. This research project’s goal is to develop, improve and classify simulation-based modules for ship energy management.
In this webinar on February 25, 2021, FRIENDSHIP SYSTEMS joins forces with the Naval Group to showcase the design exploration and optimization of a Multi-Purpose Ocean Vessel.
We will be virtually attending the SMM digital – driving the maritime transition conference taking place on February 2-5, 2021. Join us on February 4, 2021 in the open stream session on HOLIstic optimisation of SHIP design and operation for…
We’d like to invite you to participate in our release webinar, putting a spotlight on our cutting-edge geometry modeling and shape optimization platform CAESES 5. Our team at FRIENDSHIP SYSTEMS will showcase the most exciting newly developed functionalities of our…
This academic blog post describes how CAESES was used to design a parametric turbopump inducer geometry in conjunction with Ansys CFX.
We are more than happy to announce the official release of CAESES 5, which is now available for download! CAESES 5 not only comes with a fresh new look and feel. It offers loads of improvements and our latest developments in the fields of RBF morphing and dimensionality reduction methods.
For the upcoming holidays, everyone here at FRIENDSHIP SYSTEMS would like to send you our warmest Season’s Greetings and best wishes for a Happy New Year!
In this next webinar of the HOLISHIP series, FRIENDSHIP SYSTEMS joins forces with Kongsberg Maritime to showcase how CAESES has been used for the multi-disciplinary optimization of a subsea construction vessel.
In this webinar, FRIENDSHIP SYSTEMS joins forces with Elomatic to showcase how the software systems CADMATIC and CAESES have been utilized for the optimization of a double-ended ferry with ice breaking capabilities for operation in the Finnish archipelago.
This blog post deals with the improvement of the design of the internal layout of oil tankers targeting safety and economic feedback and considering the incorporated uncertainty.