Airship Modeling: Find Data on Air Temperature, Density, and Pressure

In summary, the conversation is about finding data for air temperature, density, and pressure at different altitudes for a mathematical model of an airship. The suggestion is to check out "Introduction to Flight" by John Anderson from a university library or search "Standard Atmosphere Model" on Google for online resources. The individual is not familiar with how these quantities change with altitude and plans to use approximate formulas to write a system of forces and a differential equation to calculate height change.
  • #1
niko2000
51
0
Hi!
I am doing a simple mathematical model of an airship. I need the data for air temperature, density and pressure for different altitudes. Could anyone give me any web address where I could find these data?
I am not native to this field, so I don't know how do these quantities change with altitude. I was thinking about doing an approximate formulas upon these data.
I would like to write a system of forces and then get a differential equation. In the end I could get a formula for heigh change.
Regards,
Niko
 
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  • #2
If you have access to a university library, you could check out "Introduction to Flight" by John Anderson. There is a full table of standard atmospheric values up to about 50km in both English and Metric units.

It's probably somewhere online, but I'm not sure where.
 
  • #3
niko2000 said:
Hi!
I am doing a simple mathematical model of an airship. I need the data for air temperature, density and pressure for different altitudes. Could anyone give me any web address where I could find these data?
I am not native to this field, so I don't know how do these quantities change with altitude. I was thinking about doing an approximate formulas upon these data.
I would like to write a system of forces and then get a differential equation. In the end I could get a formula for heigh change.
Regards,
Niko

Type ''Standard Atmosphere Model'' in Google. You will obtain several tables of data and calculators on line.
 

FAQ: Airship Modeling: Find Data on Air Temperature, Density, and Pressure

What is airship modeling and why is it important?

Airship modeling is the process of constructing scaled models of airships, which are lighter-than-air aircrafts that use gas to generate lift. It is important for understanding the behavior and performance of airships, as well as for designing and testing new airship designs.

How can I find data on air temperature, density, and pressure for airship modeling?

There are several sources for this type of data. One option is to consult scientific literature and research papers, which often include data on air properties. Another option is to use online databases or tools specifically designed for airship modeling, such as the Airship Calculator provided by the Naval Air Systems Command.

What factors affect air temperature, density, and pressure for airship modeling?

The main factors that affect these air properties are altitude, humidity, and atmospheric conditions. As altitude increases, air temperature and pressure decrease, while air density decreases. Humidity can also affect these properties, as water vapor is less dense than dry air. Atmospheric conditions, such as wind and air turbulence, can also impact air temperature, density, and pressure.

How do I use data on air temperature, density, and pressure in my airship modeling?

This data is typically used in mathematical models and simulations to predict the behavior of airships under different conditions. For example, the data can be used to determine the amount of lift generated by an airship or to calculate the optimal altitude for a given payload. It is important to use accurate and up-to-date data for the most realistic results.

Are there any challenges or limitations to using data for airship modeling?

One challenge is that air properties can vary depending on location and time, so it is important to use data that is relevant to the specific airship being modeled. Additionally, some factors, such as wind and air turbulence, can be difficult to accurately predict and incorporate into models. There may also be limitations in the accuracy of the data itself, as it is often based on estimates and generalizations rather than precise measurements.

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