Calculating complex dimensional chains
The Tolerancing module helps you calculate tolerances on X’s with a linear relation to Y’s, and to simulate the possible outputs that depend on reserved tolerances and lot acceptation hypotheses.
Tolerance is tolerance, but it’s not a right
ELLISTAT automatically makes calculations of all the tolerances for all hypotheses. You can optimize by applying constraints. For example, you can demand that one of the dimensions be twice as wide as the others.
The optimization makes calculations in four distribution hypotheses:
- Worst case scenario
- Quadratic statistics
- Inertial statistics
- Corrected inertial statistics
- Weighted inertial statistics
Contribution of each dimension
During the calculation, a color code will appear on the dimensions that signifies the characteristic’s contribution to the satisfaction of functional conditions.
- Red ≥ 80%
- Orange ≥ 60%
- Yellow ≥ 40%
- Green ≥ 20%
- Blue < 20%
This colorful representation allows you to see the significance of the dimension in respect to the specifications: the more significant the contribution, the more crucial the dimension.
Simulate your production
ELLISTAT allows you to simulate hundreds of assembled lots with design assumptions.
The triangles represent the space of conformity (Cpk >1) for the resulting dimensions C1 and C2 in the decentralization/standard deviation.
- If the standard deviation is 0, the decentralization can take on any tolerance interval (triangle base)
- If the decentralization is null, then standard deviation could be at the max (top of the triangle)
By clicking anywhere on the triangle, a corresponding representation to the place where you clicked will be displayed along with the proportions of outer corresponding tolerances.
Take it one step further – Learn Ellistat with video tutorials
Tolerancing several dimensional chains
Simulation of a tolerancing result