Parametric Design Optimization of Scissor Lift Platform - A Design of Experiment (DOE) Approach

M.T. Islam, Luc Rolland

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.
Original languageEnglish
Title of host publicationCCToMM Mechanisms, Machines, and Mechatronics (M3) Symposium, 2015
Subtitle of host publicationOttawa, Ontario: May 28 and 29, 2015
Publication statusPublished - 2015
Externally publishedYes


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