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  2. Centroid - Wikipedia

    en.wikipedia.org/wiki/Centroid

    Draw a line joining the centroids. The centroid of the shape must lie on this line . Divide the shape into two other rectangles, as shown in fig 3. Find the centroids of these two rectangles by drawing the diagonals. Draw a line joining the centroids. The centroid of the L-shape must lie on this line .

  3. Equivalent spherical diameter - Wikipedia

    en.wikipedia.org/wiki/Equivalent_spherical_diameter

    However, real-life particles are likely to have irregular shapes and surface irregularities, and their size cannot be fully characterized by a single parameter. The concept of equivalent spherical diameter has been introduced in the field of particle size analysis to enable the representation of the particle size distribution in a simplified ...

  4. Curve of constant width - Wikipedia

    en.wikipedia.org/wiki/Curve_of_constant_width

    Some coinage shapes are non-circular bodies of constant width. For instance the British 20p and 50p coins are Reuleaux heptagons, and the Canadian loonie is a Reuleaux 11-gon. [24] These shapes allow automated coin machines to recognize these coins from their widths, regardless of the orientation of the coin in the machine.

  5. Planimeter - Wikipedia

    en.wikipedia.org/wiki/Planimeter

    The operator sets the wheel, turns the counter to zero, and then traces the pointer around the perimeter of the shape. When the tracing is complete, the scales at the measuring wheel show the shape's area. When the planimeter's measuring wheel moves perpendicular to its axis, it rolls, and this movement is recorded.

  6. Reuleaux triangle - Wikipedia

    en.wikipedia.org/wiki/Reuleaux_triangle

    The Reuleaux triangle can be generalized to regular or irregular polygons with an odd number of sides, yielding a Reuleaux polygon, a curve of constant width formed from circular arcs of constant radius. The constant width of these shapes allows their use as coins that can be used in coin-operated machines. [9]

  7. Sphericity - Wikipedia

    en.wikipedia.org/wiki/Sphericity

    Sphericity is a measure of how closely the shape of an object resembles that of a perfect sphere. For example, the sphericity of the balls inside a ball bearing determines the quality of the bearing, such as the load it can bear or the speed at which it can turn without failing. Sphericity is a specific example of a compactness measure of a shape.

  8. Shoelace formula - Wikipedia

    en.wikipedia.org/wiki/Shoelace_formula

    Shoelace scheme for determining the area of a polygon with point coordinates (,),..., (,). The shoelace formula, also known as Gauss's area formula and the surveyor's formula, [1] is a mathematical algorithm to determine the area of a simple polygon whose vertices are described by their Cartesian coordinates in the plane. [2]

  9. Compactness measure - Wikipedia

    en.wikipedia.org/wiki/Compactness_measure

    Compactness measure is a numerical quantity representing the degree to which a shape is compact. The circle and the sphere are the most compact planar and solid shapes, respectively. The circle and the sphere are the most compact planar and solid shapes, respectively.

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