#machine model

[maadhucreatives]

The Art and Science of Engineering Model Making

Engineering model making is both an art and a science, blending creativity with precision to bring abstract concepts to life. From simple prototypes to complex scale models, engineers rely on these tangible representations to visualize, analyze, and communicate their ideas effectively. In this article, we explore the significance of engineering model making, its various applications, and the techniques involved in creating these intricate replicas.

The Importance of Engineering Model Making: In the realm of engineering, where concepts often exist in the abstract, models serve as crucial tools for comprehension and experimentation. They bridge the gap between theoretical designs and real-world applications, providing engineers with tangible objects to test hypotheses, evaluate performance, and identify potential flaws. Moreover, models facilitate collaboration among multidisciplinary teams by offering a common reference point for discussion and refinement.

Applications Across Industries: Engineering model making finds applications across a diverse range of industries, including aerospace, automotive, architecture, and product design. In aerospace engineering, intricate scale models of aircraft and spacecraft allow engineers to assess aerodynamic performance, structural integrity, and payload capacity before initiating full-scale production. Similarly, in automotive design, scale models help designers visualize vehicle aesthetics, streamline aerodynamics, and optimize ergonomics.

Techniques and Materials: Creating engineering models requires a combination of technical skill, creativity, and attention to detail. Engineers employ various techniques and materials to bring their designs to life, including:

Computer-Aided Design (CAD): CAD software allows engineers to design precise 3D models, providing a digital blueprint for subsequent manufacturing processes.

3D Printing: Additive manufacturing technologies, such as 3D printing, enable engineers to transform digital designs into physical prototypes rapidly. This process offers unparalleled flexibility, allowing for the creation of complex geometries with minimal material waste.

Traditional Model Making: For certain applications, traditional model making techniques remain relevant, particularly for producing high-fidelity replicas with intricate detailing. Materials such as wood, plastic, metal, and resin are meticulously crafted to replicate the desired form and function.

Rapid Prototyping: Rapid prototyping techniques, including CNC machining and laser cutting, offer efficient means of fabricating models from a variety of materials. These methods are particularly useful for producing functional prototypes for testing and validation purposes.

Conclusion: Engineering model making is a dynamic field that combines artistic expression with scientific rigor to translate abstract ideas into tangible reality. Whether exploring the aerodynamics of a spacecraft or refining the aesthetics of a product design, engineers rely on models to iterate, innovate, and ultimately bring their visions to fruition. By embracing a diverse range of techniques and materials, engineers continue to push the boundaries of what’s possible, driving progress and innovation across industries.

[river-taxbird]

AI hasn't improved in 18 months. It's likely that this is it. There is currently no evidence the capabilities of ChatGPT will ever improve. It's time for AI companies to put up or shut up.

I'm just re-iterating this excellent post from Ed Zitron, but it's not left my head since I read it and I want to share it. I'm also taking some talking points from Ed's other posts. So basically:

We keep hearing AI is going to get better and better, but these promises seem to be coming from a mix of companies engaging in wild speculation and lying.

Chatgpt, the industry leading large language model, has not materially improved in 18 months. For something that claims to be getting exponentially better, it sure is the same shit.

Hallucinations appear to be an inherent aspect of the technology. Since it's based on statistics and ai doesn't know anything, it can never know what is true. How could I possibly trust it to get any real work done if I can't rely on it's output? If I have to fact check everything it says I might as well do the work myself.

For "real" ai that does know what is true to exist, it would require us to discover new concepts in psychology, math, and computing, which open ai is not working on, and seemingly no other ai companies are either.

Open ai has already seemingly slurped up all the data from the open web already. Chatgpt 5 would take 5x more training data than chatgpt 4 to train. Where is this data coming from, exactly?

Since improvement appears to have ground to a halt, what if this is it? What if Chatgpt 4 is as good as LLMs can ever be? What use is it?

As Jim Covello, a leading semiconductor analyst at Goldman Sachs said (on page 10, and that's big finance so you know they only care about money): if tech companies are spending a trillion dollars to build up the infrastructure to support ai, what trillion dollar problem is it meant to solve? AI companies have a unique talent for burning venture capital and it's unclear if Open AI will be able to survive more than a few years unless everyone suddenly adopts it all at once. (Hey, didn't crypto and the metaverse also require spontaneous mass adoption to make sense?)

There is no problem that current ai is a solution to. Consumer tech is basically solved, normal people don't need more tech than a laptop and a smartphone. Big tech have run out of innovations, and they are desperately looking for the next thing to sell. It happened with the metaverse and it's happening again.

In summary:

Ai hasn't materially improved since the launch of Chatgpt4, which wasn't that big of an upgrade to 3.

There is currently no technological roadmap for ai to become better than it is. (As Jim Covello said on the Goldman Sachs report, the evolution of smartphones was openly planned years ahead of time.) The current problems are inherent to the current technology and nobody has indicated there is any way to solve them in the pipeline. We have likely reached the limits of what LLMs can do, and they still can't do much.

Don't believe AI companies when they say things are going to improve from where they are now before they provide evidence. It's time for the AI shills to put up, or shut up.

[worse-artist]

fuck everything because i made another one

[uglytheater]

Sage of TV Dinners (You will become dinner for the TV)

[fatedroses]

zenos, but he's getting spammed by his weirdly tech savvy great-grandfather.

[rivusapoems]

[anonomi]

some of the car stuff I forgot to post

[masterisabelle]

Does anyone ever just lose it and make a self indulgent au where axis was entrusted with Chujin’s legacy instead of ceroba and goes batshit insane

Thinking of throwing kanako into the mix

[maadhucreatives]

Engineering Scale Models: Pioneering Innovation Through Precision

In the realm of innovation, engineering scale models serve as indispensable tools for visualizing concepts, refining designs, and communicating ideas with precision. These meticulously crafted replicas offer a tangible representation of complex structures, machinery, and systems, empowering engineers, architects, and designers to explore possibilities, solve challenges, and push the boundaries of what’s possible.

The Art and Science of Engineering Model Making

At the core of engineering model making lies a harmonious blend of artistry and technical prowess. Every detail, from the minutest component to the overall form, is meticulously crafted to exacting standards. Utilizing a diverse array of materials, including plastics, metals, resins, and composites, skilled model makers bring concepts to life with unparalleled accuracy.

Enhancing Visualization and Conceptualization

One of the primary advantages of engineering scale models is their ability to enhance visualization and conceptualization. By offering a physical representation of abstract ideas, models facilitate clearer understanding and more effective communication among project stakeholders. Whether exploring the aerodynamics of a futuristic aircraft or the structural integrity of a towering skyscraper, these models serve as invaluable tools for brainstorming, planning, and problem-solving.

Precision Prototyping for Iterative Design

In the iterative process of design refinement, engineering scale models play a pivotal role in testing and validating concepts. Through rapid prototyping techniques such as 3D printing and CNC machining, engineers can quickly create and evaluate multiple iterations, identifying strengths, weaknesses, and opportunities for improvement. This iterative approach accelerates the innovation cycle, enabling teams to iterate rapidly and iterate effectively towards optimal solutions.

Bridging the Gap Between Digital and Physical Realms

Fostering Collaboration and Cross-Disciplinary Exchange

Beyond their technical utility, engineering scale models also serve as catalysts for collaboration and cross-disciplinary exchange. By bringing together experts from various fields — including engineering, architecture, industrial design, and more — these models facilitate interdisciplinary dialogue, fostering creativity, innovation, and holistic problem-solving. Through collaborative workshops, design charrettes, and interactive presentations, teams can leverage the power of physical models to explore ideas, challenge assumptions, and co-create solutions.

Driving Innovation Across Industries

From aerospace and automotive to architecture and urban planning, engineering scale models drive innovation across a diverse range of industries. Whether simulating airflow over a next-generation aircraft wing or optimizing the layout of a futuristic cityscape, these models empower visionary thinkers to push the boundaries of what’s possible, driving progress and shaping the future of technology and design.

Conclusion: Transforming Vision into Reality

In conclusion, engineering scale models represent a powerful tool for transforming vision into reality. By combining artistic craftsmanship with technical precision, these models enable engineers, designers, and innovators to explore, iterate, and collaborate with unprecedented clarity and confidence. As we continue to push the boundaries of innovation, the role of engineering model making will remain integral to our quest for progress, driving breakthroughs and shaping the future of technology, design, and beyond.

[jakeperalta]

1. "the bomb" by florence + the machine // 2-4. "this song" - conan gray // 5. "gps" - shauna barbosa // 6. морской пейзаж 2 (seascape 2) - evgenii luniov / "don't take the money" - bleachers // 7-8. atonement dir. joe wright // 9. "tomatoes" - joy sullivan // 10. atonement dir. joe wright // 11. "old recliners" - role model // 12. everything i never told you - celeste ng // 13. call me by your name dir. luca guadagnino // 14. "love poem beginning with a yellow cab" - josé olivarez // 15. "august" - taylor swift // 16. red, white & royal blue dir. matthew lopez // 17. "one more afternoon" - maggie rogers

[illustrationismyhaven]

Every day I miss him..........

[modormouth]

and for her neutral special homura wields  ✨g u n ✨

also free homura meme image for you to use

[alex-wf]

HE IS RISEN!!!! WELCOME BACK TINCAN WIFE 💕💕💕

[divinemachina]

lethe back at it again. vampire v-model

[melleonis]

you don't want "found family" you want to be secure in your relationships - which is the thing the institution of family promises and fails to provide. stop trying to recreate it.

[robo-dino-puppy]

horizon zero dawn (remastered) | erend 9/?