Rigid Body motion
Some definitions
Inertial frame
Non accelerating, non-rotating frame of reference.
Omega,
Denotes angular velocity. unit : rad/s.
It is a property of the rigid body itself and is frame independent (for an inertial frame).
Omega about any two points in such a frame is always same.
Alpha,
Denotes angular acceleration. unit :
Angular momentum,
For a system of particles.
For a rigid body, $$\mathbf{L} = \mathbf{I}\mathbf{\omega}$$
where
Moment or torque or
Pure rotation
Rotation plus translation
Considering point
Point
This is for general motion in 3 dimensions.
The term
In a general case also, if we consider a mass rotating about a point such that
That term disappears when the motion is planar and rotation is about a fixed axis.
Last equation can also be written about
where $$\mathbf{I} = \mathbf{I}{c} + m[(r^2)\mathbf{I - rr}^T]$$
Angular orientation
An angular orientation of a body cannot be represented by a vector of the form $$\vec{\theta} = (\theta_{x}\hat{x} + \theta_{y}\hat{y} + \theta_{z}\hat{z})$$
This is because changes in angular orientation do not commute, essentially meaning that, $$(\theta_{x}\hat{x} + \theta_{y}\hat{y} ) \neq (\theta_{y}\hat{y} + \theta_{x}\hat{x})$$
Order in which the rotation happens matters.
But however, angular velocity can be represented as a vector $$\vec{\omega} = (\omega_{x}\hat{x} + \omega_{y}\hat{y} + \omega_{z}\hat{z})$$
Torque scenes
- Torque and force are intimately related and are always mutually perpendicular
- There can be torque on a system and no force, conversely, there can be force on a system and no torque.
Conservation of angular momentum
When angular momentum is conserved,
However angular momentum is not conserved when it's direction is changing, but magnitude remains same. In this case, there is no external force on the body, but there is a torque necessary to change the angular momentum vector itself.
Moment of inertia as a tensor
Deriving angular momentum according to it's definition, $$\mathbf{L} = \sum_{j}[\mathbf{r}{j} \times m( \omega \times \mathbf{r}_{j})]$$for the j-th particle.
If we expand this according to the definition of cross product, we finally obtain $$\mathbf{L} = \begin{bmatrix} \hat{x} & \hat{y} & \hat{z} \ x_{j} & y_{j} & z_{j} \ m_{j}(\omega_{y}z_{j} - y_{j}\omega_{z}) & -m_{j}(\omega_{x}z_{j} - x_{j}\omega_{z}) & m_{j}(\omega_{x}y_{j} - x_{j}\omega_{y})
\end{bmatrix}$$
Therefore, we have $$L_{x} = m_{j}(x_{j}^2 + y_{j}^2)\omega_{x} - m_{j}x_{j}y_{j}\omega_{y} - m_{j}x_{j}z_{j}\omega_{z}$$
Extrapolating this,
Recall product of inertia from ME1201
We define $$\begin{align} I_{xx} &= \int m_{j}(y_{j}^2 + z_{j}^2) \ I_{xy} &= -\int m_{j}x_{j}y_{j} \ I_{xz} &= -\int m_{j}x_{j}z_{j}\end{align}$$
Extrapolating this, we can rewrite
Thus,
If we differentiate this, we can replace
Notice that in the equation,
For continuous medium, $$\mathbf{I} = \begin{bmatrix} \int(y^2 + z^2)dm & -\int xydm & -\int xzdm \ -\int xydm & \int(x^2 + z^2)dx & -\int yzdm \ -\int xzdm & -\int yzdm & \int(x^2 + y^2)dm \end{bmatrix}$$
We already know that the product of inertia measures how disbalanced the object is, how the mass is distributed around the COM.
- Principal axes of inertia are those three mutually perpendicular axes along which the product of inertia all disappear. (often passes through COM)
- When body rotates about it's principal axes, it's angular momentum is parallel to angular velocity.
- To simplify the moment of inertia matrix, we can always diagonalize it in order to find the principal moments of inertia of the body.
- The moment of inertia in this new diagonalized tensors are principal moments of inertia, corresponding to eigen vectors of original inertia tensors
Tensors
Tensor represents a physical quantity that is characterized by magnitude and multiple directions simultaneously.
The rank of a tensor is defined as the number of axes required to describe a single component of it.
For example, a 3D tensor with 3 axes has rank 3, since we need 3 indices (therefore, it spreads in 3 axes) to describe a component.
Scalars are rank 0, vectors are rank 1, matrices are rank 2, and so on...
The dimensionality of a tensor is a touchy topic, which has different interpretations in different fields.
The dimensions of a tensor talks about the range of each axes. For example a
Similarly, in this same model, a tensor of
In the linear algebra way of modelling or describing dimensionality, it defines the underlying dimensionality of the tensor space is defined as the dimensionality of the total space, ie,
Some more lectures that talk about diagonalization of the inertia matrix to isolate principal axes, and solve some questions based on it (lec 21, 22).
Gyroscope
Gyroscopic precession is what we are concerned with.
When the flywheel has a spin angular momentum and we let it go, the downward torque produced by the unbalanced weight actually translates into changing
The precession formula dictates $$\Omega = \frac{lW}{I_{0}\omega_{s}}$$
where
It can be shown that the precession angular velocity is independent of inclination of gyroscope disk with the vertical. While the discussion above was done for