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

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Rocznik
Strony
205--210
Opis fizyczny
Bibliogr. 15 poz., rys.
Twórcy
autor
  • Tenneco Automotive Eastern Europe, Eastern European Engineering Center (EEEC), ul. Bojkowska 59B, 44-100 Gliwice, Poland
autor
  • Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
autor
  • Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
Bibliografia
  • [1] J.R. Basu, N. Wright, Quality beyond Six Sigma, Butterworth Heinemann, 2002.
  • [2] B. Wheat, Ch. Mills, M. Carnell, Leaning into Six Sigma, McGraw Hill, 2003.
  • [3] K. Yang, B. El Haik, Design For Six Sigma - A Roadmap for product development, McGrow-Hill, 2003.
  • [4] K. Yang, El Haik, Design for Six Sigma, McGraw-Hill, 2003.
  • [5] S. Chowdhury, The power of Design for Six Sigma, Dearborn Trade, 2002.
  • [6] S. Chowdhury, Design for Six Sigma, Dearborn Trade, 2002.
  • [7] P. Czop, D. Sławik, T.H. Włodarczyk, M. Wojtyczka, G. Wszołek, Six sigma methodology applied to minimizing damping lag in hydraulic shock absorbers, Proceedings of the Worldwide Congress “Materials and Manufacturing Engineering and Technology” C0MMENT’2009, Gliwice-Gdańsk, 2009, 48-49.
  • [8] Measurement system analysis, 3rd Edition, Automotive Industry Action Group.
  • [9] NIST/SEMATECH e-Handbook of Statistical Methods, http://www.itl.nist.gov/div898/handbook.
  • [10] D. Sławik, P. Czop, A. Król, G. Wszołek, Optimization of hydraulic dampers with the use of Design For Six Sigma methodology, Journal of Achievements in Materials and Manufacturing Engineering 43/2 (2010) 676-683.
  • [11] M. Soković, D. Pavletić, E. Krulčić, Six Sigma process improvements in automotive parts production, Journal of Achievements in Materials and Manufacturing Engineering, 19/1 (2006) 96-102.
  • [12] S. Tkaczyk, M. Dudek, Usage of quality management methods in productive processes, Proceedings of the 9th International Scientific Conference “Achievements in Mechanical and Materials Engineering” AMME'2000, Gliwice-Sopot-Gdańsk, 2000, 531-534.
  • [13] R. Nowosielski, M. Spilka, A. Kania, The technological processes optimization according to the sustainable technology procedure, Journal of Achievements in Materials and Manufacturing Engineering 14 (2006) 178-183.
  • [14] V. Gecevska, M. Cus, F. Lombardi, V. Dukovski, M. Kuzinovski, Intelligent approach for optimal modeling of manufacturing systems, Journal of Achievements in Materials and Manufacturing Engineering 14 (2006) 97-103.
  • [15] A. Larson, Demystifying Six Sigma, AMACOM American Management Association, New York, 2003.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-579b5531-cb6d-42e5-ac8f-3ffe4b683ad7
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