Search results
Results from the WOW.Com Content Network
In engineering, the Moody chart or Moody diagram (also Stanton diagram) is a graph in non-dimensional form that relates the Darcy–Weisbach friction factor f D, Reynolds number Re, and surface roughness for fully developed flow in a circular pipe. It can be used to predict pressure drop or flow rate down such a pipe.
Language links are at the top of the page. Search. Search
Lewis Ferry Moody (5 January 1880 – 18 April 1953 [1]) was an American engineer and professor, best known for the Moody chart, a diagram capturing relationships between several variables used in calculating fluid flow through a pipe.
Stiff diagrams can be used: 1) to help visualize ionically related waters from which a flow path can be determined, or; 2) if the flow path is known, to show how the ionic composition of a water body changes over space and/or time. Example of a Stiff diagram. A typical Stiff diagram is shown in the figure (right).
But Dash also works for R, and most recently supports Julia, and while still described a Python framework, Python isn't used for the other languages, "describing Dash as a Python framework misses a key feature of its design: the Python side (the back end/server) of Dash was built to be lightweight and stateless [allowing] multiple back-end ...
Sankey diagrams can also visualize the energy accounts, material flow accounts on a regional or national level, and cost breakdowns. [2] The diagrams are often used in the visualization of material flow analysis. Sankey diagrams emphasize the major transfers or flows within a system. They help locate the most important contributions to a flow.
Within the branch of materials science known as material failure theory, the Goodman relation (also called a Goodman diagram, a Goodman-Haigh diagram, a Haigh diagram or a Haigh-Soderberg diagram) is an equation used to quantify the interaction of mean and alternating stresses on the fatigue life of a material. [1]
The radar chart is a chart and/or plot that consists of a sequence of equi-angular spokes, called radii, with each spoke representing one of the variables. The data length of a spoke is proportional to the magnitude of the variable for the data point relative to the maximum magnitude of the variable across all data points.