The number of independent manipulated variables; actuators as in pumps, valves etc.
A high degree of freedom means that an appendage can pivot or rotate in numerous of ways. The definition of 'high' is not specifically defined, but usually an appendage that can pivot or rotate in more than six or seven ways is considered to have a high degree of freedom.
1 ton
I think its three but not sure.
two rotations (out of plane) and one displacement (out of plane)
degree of freedom is defined as the number of independent variable which have relative motion each other, its becomes equal to ==3(l-1)-2i-h
Mass and damping are associated with the motion of a dynamic system. Degrees-of-freedom with mass or damping are often called dynamic degrees-of-freedom; degrees-of-freedom with stiffness are called static degrees-of-freedom. It is possible (and often desirable) in models of complex systems to have fewer dynamic degrees-of-freedom than static degrees-of-freedom.
arm has not 6 but 7 degree of freedom.. 1.shoulder have 1 degree of freedom. 2.yaw have 2 degree of freedom. 3.roll have 3 degree of freedom. 4.elbow have 4 degree of freedom. 5.wrist have 5degree of freedom. 6.wrist yaw have a 6degree of freedom. 7.wrist roll have a 7 degree of freedom.
a superstructure has negative degree of freedom... ;0
degree of freedom
Degree of freedom=c-p+2;c=1;p=11-1+2=2
6
12
Only one degree of freedom
degree of freedom is number of parameters required to specify the state of a particle. it can be used to calculate the energy of a system like in case of ideal gas equation.
A high degree of freedom means that an appendage can pivot or rotate in numerous of ways. The definition of 'high' is not specifically defined, but usually an appendage that can pivot or rotate in more than six or seven ways is considered to have a high degree of freedom.
A degree of freedom, is merely a direction (including philosophic) in which an object is not constrained. In our usual 3 - dimension geometry, there is yet no constraint on any of the several rotations - these could be considered degrees of freedom.
Yes. The parameters of the t distribution are mean, variance and the degree of freedom. The degree of freedom is equal to n-1, where n is the sample size. As a rule of thumb, above a sample size of 100, the degrees of freedom will be insignificant and can be ignored, by using the normal distribution. Some textbooks state that above 30, the degrees of freedom can be ignored.