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THE VIDEO SHELF · heavy forging presses

America's Iron Giants - The World's Most Powerful Metalworkers

Machine Thinking tells the story of the Cold War Heavy Press Program, the giant forging presses that make parts for aircraft, missiles and turbines.

Why HN readers recommended it

HN commenters recommend it as an excellent introduction to massive forging presses, especially in threads about gigacasting and large manufacturing machines.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Machine Thinking
Topic
heavy forging presses
Format
documentary
Level
general
HN recommenders in dataset
3
HN mentions in dataset
5
Recommendation years in dataset
2019–2024

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • I first learned about these presses several years ago from the YouTube channel Machine Thinking which is excellent and unfortunately infrequent. The linked video has some excellent footage of these beasts in action. "America's Iron Giants" [VIDEO]

    rendall on Hacker News · 2024-08
    In How to build a 50k ton forging press
  • The Machine Thinking channel has a very interesting video on this [VIDEO] I wonder if these modern high pressure casting produce results closer to forging.

    alecco on Hacker News · 2021-03
    In Tesla orders its first 8k-ton Cybertruck casting machine
  • This youtube video seems related. [VIDEO] This is the story of America's massive forging presses built during the cold war used to build America's most advanced machinery - the Heavy Press Program. Modern airplanes, missiles, helicopters, turbines - all have parts made on these giant …

    mvidal01 on Hacker News · 2023-02
    In The giant die casts reshaping car manufacturing

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.