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1 Journal of Achievements in Materials and Manufacturing Engineering

1 2011

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Optimization of pneumatic actuators with the use of design for Six Sigma methodology

Król A., Wszołek G., Czop P.

Journal of Achievements in Materials and Manufacturing Engineering

2011

Vol. 47, nr 2

205--210

Purpose: The first aim of this paper is to optimize pneumatic actuator behavior using a structured approach to define and control system factors in order to achieve targeted output values. The second aim is to present a structured optimization process supported by Measurement System Analysis (MSA) and Design of Experiment (DOE) tools in practical applications. Design/methodology/approach: A complete approach for optimizing an unknown system with a structured approach known from DFSS methodology is used in the practical example of pneumatic actuators. DFSS methodology requires a detailed project definition, but ensures good quality of measurement data and a well-prepared optimization process supported by known DOE tools. Findings: The structural approach for system optimization known from DFSS methodology provides a good fit for the optimization of a pneumatic actuator to achieve specified targets. Teams working on system optimization not only set the parameters but also gather a large amount of valuable information about how the mentioned system works, and what the main factors influencing the final results are. The gathered knowledge can be used to create a robust design with the lowest possible cost. Research limitations/implications: The results obtained from Measurement System Analysis and Design of Experiment are valid only for chosen factors and, importantly, only in the range used in both statistical methods. Extrapolation outside the statistical model boundaries is forbidden. Therefore a critical aspect is to agree within the project team on the correct factors and their levels. Practical implications: The optimization of pneumatic actuators can be achieved by a structured approach consisting mainly of project definition, measurement system analysis and final optimization through DOE tools to achieve given targets for displacement and time simultaneously. Originality/value: First Time Through optimization of a pneumatic actuator system as an example of any system treated as a black box, meaning a system with an unknown relationship between input and output. Design for Six Sigma methodology presented in a practical approach.