Total Materia

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The world’s most comprehensive materials database

Total Materia

Total Materia is a product of Key to Metals AG

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The transition from 24/7 to marks a shift in quality and intensity. In the early days of the internet, 24/7 meant availability—you could watch a video at 3 AM. Today, "deeper" content means that the media we consume is designed to be lived in.

Popular franchises like the Marvel Cinematic Universe or Star Wars don't just release movies. They offer a 12-month calendar of TV shows, podcasts, ARGs (Alternate Reality Games), and social media lore that keeps fans engaged every single day of the year.

The "24/12" cycle has fundamentally changed how we define "popular."

The pressure to stay "current" with a dozen different streaming series and social trends can lead to burnout.

Platforms like TikTok and YouTube use deep learning to understand your subconscious preferences. This creates a feedback loop where the content isn't just available 24/12; it is hyper-personalized, making the "rabbit hole" deeper than ever before.

Because media is so deep, communities can form around incredibly specific interests. You can spend 12 months a year consuming nothing but content about a single 1990s anime or a specific sub-genre of "Lo-fi" beats.

In the past, television had "seasons." Now, streaming platforms ensure there is a "must-watch" viral hit every week, creating a continuous loop of cultural relevance. 2. The Mechanics of Popular Media Immersion

In the modern digital landscape, the phrase has emerged as a shorthand for the relentless, high-immersion cycle of the 21st-century attention economy . While we once lived in a 24/7 world, the "24/12" concept suggests a new dimension: 24 hours of availability multiplied by 12 months of inescapable, deep-dive engagement.

As we move forward, the goal isn't to disconnect, but to learn how to swim in these deep waters—choosing content that enriches our lives rather than just filling our time.

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CASE STUDY

CFD Characterization of the Ventricular Assist Device HeartAssist 5® Through a Sliding Mesh Approach

Analysis to determine possible optimizations to enhance device safety and efficacy for long-term patient use

This technical article describes how high-end numerical Computational Fluid Dynamics (CFD) simulations were applied to mimic the realistic operating conditions of a Ventricular Assist Device (VADs) and analyze its hemodynamics in order to identify potential areas for optimization of the device’s performance, safety and efficacy.

ansys cfd biomechanics

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CASE STUDY

ISEO adopts Cetol 6σ for a global approach to dimensional management

Technical collaboration and support from EnginSoft key to achieving maximum benefit from the solution

This case study describes ISEO’s project to introduce a global dimensional management approach based on CETOL6σ that starts from the product concept phase and includes design development and prototyping and extends on to cover all other phases of production through to the finished product, with the guidance and support of EnginSoft. deeper 24 12 26 octavia red a kiss of red xxx 1 high full

tolerances cetol mechanics

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CASE STUDY

Optimization of a brush cutter using knowledge-based engineering

This article describes how the company created and tested a process to construct a parametric CAD model capable of providing its designers with a starting point for any new machine to be designed.

mechanics ansys modefrontier maplesim maple

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CASE STUDY

Optimally designing an artificial lung for extracorporeal life support

A CFD-based approach

The study described in this article was designed to obtain greater insight into the gas transfer mechanism at microscopic scale using computational fluid dynamics in order to accelerate design exploration to find the optimal solution.

biomechanics ansys

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CASE STUDY

Innovative curve-fitting tool for viscoelastic materials introduced: contributes to sustainability from a materials perspective

Have you ever grappled with the nonlinearity of materials? This article introduces Multiscale.Sim’s curve-fitting feature for predicting material constants for viscoelastic problems.

multiscale mechanics composites