Voronoi Attributes
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=== cluster === | === cluster === | ||
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+ | Tries to create clusters of points, to give more variation in cell size. | ||
==== Num clusters ==== | ==== Num clusters ==== | ||
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+ | The number of clusters to place amongst the original particle set. Particles are moved towards the nearest cluster. | ||
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type: integer | type: integer | ||
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==== Cluster bias ==== | ==== Cluster bias ==== | ||
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+ | How much influence the cluster has on the final particle position. | ||
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type: float | type: float | ||
Revision as of 03:29, 18 April 2012
Contents |
Point cloud
Distribution
Option menu providing 4 alternate methods of point distribution in a voronoi point cloud.
Each distribution type may have it's own attribute(s) that are unique. The only common attribute found among each distribution is Seed.
uniform
Places particles by choosing uniformly-distributed random numbers along each coordinate axis.
Num points
The number of points (particles) to generate around the object. Each point will give rise to a voronoi cell. There may be fewer fragments than cells, depending on how they intersect the object.
type: integer
default: 100
Seed
The random number number seed. Change this to get a different arrangement of points.
type: integer
default: 0
poisson
Places particles such that the approximate distance between them is the same. Gives rise to more evenly shaped cells.
Approx num
The number of points to aim for. This will not be achieved exactly, since the aim of this distribution mode is equally spaced points.
type: integer
default: 100
radial
The radial option creates a radial distribution of voronoi cells from a center point. This option uses the the same Num point and seed attributes as the uniform option. The dispersion of cells around the center point is determined by the Radial bias attribute.
Radial bias
type: float
default: 1
minimum: 0.5
The generated cells, as seen above, is merely a preview of the fragments that will be generated upon a collision. The actual center point is determined by the point of the collision.
cluster
Tries to create clusters of points, to give more variation in cell size.
Num clusters
The number of clusters to place amongst the original particle set. Particles are moved towards the nearest cluster.
type: integer
default: 10
minimum: 2
Cluster bias
How much influence the cluster has on the final particle position.
type: float
default: 1.0
Options
Regenerate during sim
type: boolean
default: True
description: Enable this to re-generate the point cloud when different objects are broken during a simulation
Radial center at impact
type: boolean
default: True
Particles
type: string
description: The particle shape in which the generated points are stored
Data name
type: string
default: cell
description: The name of the custom data to be attached to fragments, identifying (integer) the particle whose voronoi cell they originate from