Deterministic vs Probabilistic Models in Slider-Crank Function Generator Design 700641

The objective of this paper is to raise the question “Are models deduced using deterministic methods the best models to use in situations where nondeterministic conditions prevail?” The examples cited involve the synthesis of slider-crank function generators and their subsequent assembly from real links. The optimal linkage which displays the least possible extreme error represents a deterministic model. Can a different linkage with greater extreme structural error be a superior manufacturing ideal? The examples show that it can in the case of the offset slider-crank function generator.


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