This paper illustrates a statistical approach for optimizing the parametric design and performance (e.g. height) of scissor lift elevators. Using dynamic model and kinematic analysis of scissor lift elevator, performance of the mechanism is simulated for different parametric combination to achieve certain height by the end effector or the platform. Simulation data are used to analyze the statistical significance of parameters on the performance of scissor lift mechanism using ANOVA technique. A two level fractional factorial design has been considered for the design optimization and it proved as a conductive approach for screening a large number of variables and reducing the no. of experiment to optimize the cost as well. For different level of parameters, optimum performances of the platform are compared and reported. Interactions between the parameter are analyzed and reported. Validation procedure has been tested and the design was proved to be scientific and reasonable and could serve as a reference for designing of scissor lifting mechanism.
|Title of host publication||CCToMM Mechanisms, Machines, and Mechatronics (M3) Symposium, 2015|
|Subtitle of host publication||Ottawa, Ontario: May 28 and 29, 2015|
|Publication status||Published - 2015|