Modern product development demands a delicate balance: ensuring parts meet functional requirements while minimizing cost. While performance and reliability have traditionally guided early design decisions, cost is now becoming an increasingly influential driver from the outset. When cost is not considered until prototypes are built or tooling is already ordered, teams often find themselves reacting late in the process—scrambling to cut expenses through supplier negotiations, material changes, or rushed design adjustments.
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Artificial Intelligence is rapidly transforming engineering design and simulation. The motivation for every engineering organization, be it automotive, aeronautical or electronics, to embrace predictive performance models to AI-driven design exploration is clear: faster development cycles, smarter decisions, and reduced costs.
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We’re excited to announce the release of Optimus 2025.1, packed with powerful new features and enhancements designed to give simulation engineers, designers, and product owners more control, flexibility, and efficiency in their workflows.
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Discover how Noesis Solutions helps automakers optimize crashworthiness, cut costs, and accelerate design cycles with AI-driven MF-EGO optimization.
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Simulation solutions have long enabled companies to develop complex products more efficiently. By reducing reliance on costly physical prototypes, improving product quality, and shortening development cycles, simulation tools offer significant advantages. However, they also generate massive amounts of data, and too often, the knowledge from this data is trapped in silos—limiting its potential impact.
Integrating additive manufacturing (AM) remake strategies using Optimus, early in conceptual design enhances product longevity and sustainability, aligning with global goals for responsible consumption and production. By optimizing designs for repair and remanufacture, industries can reduce waste, conserve resources, and foster a more resilient circular economy, benefiting both the environment and economic sustainability.
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Author: Marco Panzeri, R&D Manager, Noesis Solutions
The world of engineering designs and product development has been evolving at a rapid pace. Simulations and 3D models have been a cornerstone of engineering design, allowing for the virtual replication of real-world systems for decades now. Engineers of today, have spent years immersed in the world of simulations, stress analyses, and complex product development processes. The thing is, while digital engineering has made incredible progress over the years, there's always been one persistent challenge: time. Simulations are critical, yes, but they are also expensive in terms of resources and, more crucially, time. This is where AI has come into play.
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Top 3 challenges of modern engineering and how collaboration enables organizations overcome these challenges and to empower teams, streamline processes, and redefine product development in the digital age.
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