Engineering teams often struggle with fragile parametric models, complex design spaces, and costly redesign loops. In this blog, we highlight five key challenges in modern engineering workflows and show how a robust, optimization-ready approach with CAESES helps teams design more efficiently and make better data-driven decisions.
With CAESES 5.4, FRIENDSHIP SYSTEMS delivers the next step in the evolution of CAESES, further expanding the maritime design functionality introduced with CAESES 5.3 while also introducing powerful new features that benefit all CAESES users. The new release provides even more flexibility and support for naval architects, as well as improvements in geometry modeling, parameterization, and computational workflows.
Faster simulations, better decisions: a FAST 2025 case study shows how early-stage design space exploration can identify efficient planing hull geometries before committing to CFD.
Engineering design has evolved from hand-drawn sketches and wooden splines to CAD, parametric modeling, simulation-driven design, and now Generative AI. Each shift expands creativity, accelerates exploration, and enhances decision-making, transforming engineering into a more intelligent, data-driven, and human-centered process.
A new era of underwater propulsion is emerging – powered by CAESES. In a bachelor’s thesis at Brno University of Technology, a hybrid toroidal rim-driven propeller was developed for compact underwater drones, combining toroidal blade geometry with rim-driven technology. Using CAESES for parametric modeling and CFD integration, the design achieved higher efficiency, lower noise, and exceptional debris resistance, showcasing how smart automation and simulation-driven design can redefine marine propulsion.
Join this joint session on November 18, brought to you by FRIENDSHIP SYSTEMS, GridPro, and Flowthermolab, where we’ll explore an ultra-efficient, fully automated workflow for volute shape optimization.
At the 2025 SNAME FAST, FRIENDSHIP SYSTEMS and HydroComp, Inc. will present a study on 11 m planing monohull design – to compare outcomes and resource requirements between CFD-based Design Space Exploration and Semi-Empirical Reduced-Order Design Space Exploration approaches.
CAESES is packed with powerful capabilities designed to accelerate simulation-driven design, but some of its most impactful features often go unnoticed. In this blog, we spotlight five advanced tools that can help you optimize geometry, enforce constraints, streamline workflows, and push the automation design further.
Discover how CAESES speeds up design of piston bowls with parametric modelling, automated optimization, and CFD integration, all in one smart workflow. Watch the video to see how it works whilst discovering how to confidently meet your performance goals.
A demihull of a houseboat has been optimized by studying the influence of bow shape modifications on the vessel’s total resistance. A parametric model was developed and subjected to a RANSE-based multi-objective optimization.