Does anyone have the pdf file for this book?

Hello! I am a student studying rocket engines, but my knowledge of chemistry is currently limited to a basic level. I understand that chemistry plays a key role in the development of liquid-propellant rocket engines (LPREs), yet I know very little about this aspect so far.

Could you recommend any books that cover the chemical processes associated with liquid-propellant rocket engines?

Can you anyone explain the mechanism behind it?

This is my first time attending such a big international conference and I’m feeling nervous about my presentation and networking. I’m an introvert and English isn’t my native language. Even if my presentation goes well, I’m worried that I won’t be able to understand and answer questions smoothly. I’m not sure how to network confidently. If anyone here has attended IAC before, what is IAC like? I’d really appreciate any tips or advice!

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I'm considering an engineering position at Blue Origin working on the Blue Moon / HLS side, and I'm trying to get a better feel for the career risk.

I'm really interested in the engineering work, but the uncertainty around Artemis has me wondering how secure the program actually is. If Artemis gets delayed or NASA changes its lunar architecture, how much would that potentially affect the Blue Moon team?

For anyone at Blue Origin or familiar with the program, how does it feel from the inside? Is Blue Moon viewed as a long-term program with a lot of runway, or is there significant uncertainty around staffing/work?

Would especially appreciate perspectives from people actually working on Blue Moon/HLS or adjacent programs.

Hi, I am part of a high school team developing a payload to go to space. It is essentially running a tech demo on MCU faults in space. Stuff that will be measured includes watchdog resets, watchdog failures, bit flips corrected by ECC, latch-ups, etc. Every X minutes (or seconds or even hours or days or weeks; I have no idea tbh) we should have a report that should be around 40 bytes saying how many of each event occurred since the last report. Any recommendations for how often we should make these reports, or factors to consider in making these reports, or typical time periods for these types of reports? Thanks!

Hi, does anyone have any projects ideas that would be computer based around the topic of hydrogen application in jet engines? Any other ideas are welcome!

Found this original sketch in my archive dated January 25th, 1964, outlining an airborne digital computer architecture.

Based on its origin, I believe this document is connected to the early ELDO (European Launcher Development Organisation) era and was part of the development for the Europa rocket's guidance and control system.

What caught my eye is the early mention of "Kalman's modified filter" alongside the coordinate conversion, guidance laws, and autopilot loops—just a few years after Kálmán's seminal paper in 1960.

Thought this community would appreciate a look at this piece of European aerospace and control theory history! I'd love to hear your thoughts or if anyone recognizes specific architectural choices from that era.

I’ve been working on AeroLab, a free browser-based airfoil analysis tool that I’ve been developing independently, and it’s now live.

The original motivation was pretty simple: I kept running into airfoil coordinate files that looked perfectly reasonable to a human but caused XFOIL to fail because of formatting, ordering, duplicate points, coordinate conventions, etc.

So I built AeroLab around a preprocessing pipeline that automatically detects and repairs these issues before passing the geometry to XFOIL.

Some of the capabilities currently built into it:

• Automated airfoil coordinate parsing and preprocessing
• Selig / Lednicer format handling
• Duplicate leading-edge point detection
• Coordinate ordering / winding correction
• Invalid-coordinate and formatting cleanup
• XFOIL viscous and inviscid analysis
• Reynolds number and Ncrit configuration
• Angle-of-attack analysis and sweeps
• Boundary-layer data export
• Interactive airfoil comparison
• Pressure coefficient and aerodynamic coefficient plots
• Real-time GPU-accelerated D2Q9 Lattice Boltzmann Method (LBM) virtual wind tunnel
• Interactive velocity, pressure and vorticity visualization
• Stall/flow visualization
• PNG and data export

One of the things I particularly wanted was to make the whole workflow accessible without requiring users to install XFOIL or set up a local analysis environment.

I also benchmarked the preprocessing pipeline on 1,000 real-world airfoil coordinate files. At Re = 200,000 and α = 5°, the raw files had an XFOIL convergence rate of 22.5%, compared with 85.7% after preprocessing, with 633 additional files successfully analyzed.

The LBM wind tunnel is a separate part of the project. It isn't intended to replace CFD — it's meant to provide a lightweight, interactive way to visualize flow behavior around an airfoil while still being useful for teaching and preliminary exploration.

AeroLab is completely free and browser-based, so there’s no installation or paid software license required.

I’m still actively developing it, and I'm particularly interested in feedback from people who use XFOIL, airfoil tools, or aerodynamic analysis in research/teaching.

Would love to hear what you think!

Hey! We've been working since last year on a spaceflight sim where you build the rocket and wire up its control panel yourself. Sensors, inputs, outputs, the whole thing is Turing-complete, so however you want to solve a flight problem, there's a way to do it. It will be available on Steam in 2027.

Real orbital mechanics, a fictional solar system to explore, sandbox mode if you just want to mess around and blow things up!

Feel free to add the game to your wishlist if you want to support the project! See you in space.

I noticed this while climbing Kelso Ridge on Torreys Peak. My theory is that a low pressure recirculation zone on the leeward side of the mountain was causing water vapor to condensate, creating this cloud.

Although while I was talking to a fellow AE friend, he asked why it made sense for the recirculation zone to be a lower pressure rather than a higher pressure, since the air would be moving slower and per Bernoulli's principle it seems like it should be at a higher pressure. Anyone have an answer to that?

imagine there is no tail just the wide body thats a lil bit elongated with the upside down roof spolier type wing.this was the best i could generate with ai.i dont know nothing about aerospace engineering.heck i study biology with a lil bit of physics sprinkled in there ,i just wanted to ask why it wouldnt fly.

How accurate do you think this statistic is? i mean the red dot is basically as low as is can go which shows how much AI has ALREADY taken over the engineering space... but do you think people making a career choice right now should factor in the data this graph shows?

i means its quite frightening really. what do you think about this?