Examples
Examples
Try the starting example
- Fitting loss coefficients K
- 0.5,0.8,1.2
- Flow velocity (m/s)
- 2
- Fluid density (kg/m³)
- 1000
- Total loss coefficient
- 2.5
- Total fitting pressure loss (Pa)
- 5000
- Fitting head loss (m)
- 0.509858
- Individual fitting pressure losses (Pa)
- [1000,1600,2400]
Try another scenario
- Fitting loss coefficients K
- 1.5,0.8,1.2
- Flow velocity (m/s)
- 2
- Fluid density (kg/m³)
- 1000
- Total loss coefficient
- 3.5
- Total fitting pressure loss (Pa)
- 7000
- Fitting head loss (m)
- 0.713801
- Individual fitting pressure losses (Pa)
- [3000,1600,2400]
Calculation method
Calculation method
Total loss coefficient
dp=sum K rho V²/2.
Total fitting pressure loss (Pa)
dp=sum K rho V²/2.
Fitting head loss (m)
dp=sum K rho V²/2.
Individual fitting pressure losses (Pa)
dp=sum K rho V²/2.
Symbols and units
- a
- Fitting loss coefficients K
- b
- Flow velocity (m/s)
- c
- Fluid density (kg/m³)
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Calculation uses the entered values and stated mathematical model; quantities must use the labelled units. Supported limits: All required fields must be finite values of the exact declared type and within displayed bounds. Lists contain1–1000 finite numbers. JSON tables are numeric rectangular rows, at most100 rows and30 columns; individual tools have stricter shape/domain constraints. dp=sum K rho V²/2.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.
Further reading
Background reading; this does not imply endorsement or independent review of SumFizz.