Using robotics for complex furniture fatigue tests

• Autorzy: Román-Ibáñez V. , Garcia S. , Casielles M. , Campoy F.
• Języki publikacji: EN

Abstrakty

EN

Furniture companies need to satisfy specific standards to ensure a high degree of quality and safety on their products. In order to do so, manufacturers send their products to mechatronic laboratories where specific machinery is used to perform a variety of tests. The aim of fatigue tests is to check for failures in design or physical problems by repeating the normal use of the product a number of cycles defined in a standard. This specific testing machinery is not suitable when complex trajectories including curves are needed to perform the tests as it happens when dealing with opening and closing mechanisms of furniture elements such as sofa beds, relax armchairs or bed handrails. The proposed method uses robotics and custom software solutions to allow companies to perform these tests in their own factory reducing the training required by operators.

Słowa kluczowe

EN

furniture; robotics; fatigue tests

• Wydawca: Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
• Czasopismo: Annals of Warsaw University of Life Sciences - SGGW. Forestry and Wood Technology
• Rocznik: 2018
• Tom: No. 104
• Strony: 459--464
• Opis fizyczny: Bibliogr. 16 poz.

Twórcy

autor

Román-Ibáñez V.

• Department of Technology of Technological Centre of Furniture and Wood

autor

Garcia S.

• Department of Technology of Technological Centre of Furniture and Wood

autor

Casielles M.

• Department of Technology of Technological Centre of Furniture and Wood

autor

Campoy F.

• Department of Technology of Technological Centre of Furniture and Wood

Bibliografia

• 1. PURNELL, G. (2012). Robotics and automation in meat processing. In Robotics and Automation in the Food Industry: Current and Future Technologies. https://doi.org/10.1533/9780857095763.2.304.
• 2. CHEN, H., EAKINS, W., WANG, J., ZHANG, G., & FUHLBRIGGE, T. (2009). Robotic wheel loading process in automotive manufacturing automation. In 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009. https://doi.org/10.1109/IROS.2009.5354048.
• 3. PWC. (2014). The future of 3-D printing: Moving beyond prototyping to finished products. Additive Manufacturing.
• 4. FORD, M. (2015). Industry 4.0: Who Benefits? SMT: Surface Mount Technology.
• 5. Laurence, Puteri Utama, C., & Hanafi, J. (2011). Statistical quality control measurement on furniture manufacturer. In IEEE International Conference on Industrial Engineering and Engineering Management. https://doi.org/10.1109/IEEM.2011.6117951.
• 6. MELTON, T. (2005). The Benefits of Lean Manufacturing. Chemical Engineering Research and Design. https://doi.org/10.1205/cherd.04351.
• 7. MENDEZ, P. F., & EAGAR, T. W. (2001). Welding processes for aeronautics. Advanced Materials and Processes.
• 8. BEAL, V. (2015). Client-Server Architecture. Webopedia. https://doi.org/10.1007/978-1-4899-7993-3.
• 9. SIRKIN, H., ZINSER, M., & ROSE, J. (2015). The Robotics Revolution: The next great leap in manufacturing. Bcg Perspectives.
• 10. RATNASINGAM, J., & IORAS, F. (2011). Fatigue strength and design stress of oil palm wood for furniture application. European Journal of Wood and Wood Products. https://doi.org/10.1007/s00107-010-0476-0.
• 11. DRURY, C. G., & COURY, B. G. (1982). A methodology for chair evaluation. Applied Ergonomics. https://doi.org/10.1016/0003-6870(82)90006-0.
• 12. RATNASINGAM, J., PERKINS, M., & REID, H. (1997). Fatigue: It’s relevance to furniture. Holz Als Roh - Und Werkstoff. https://doi.org/10.1007/s001070050232.
• 13. ECKELMAN, C. A. (1988). Performance testing of furniture. Part II . A multipurpose universal structural performance test method. FOREST PRODUCTS JOURNAL..
• 14. CORKE, P. I. (2017). Robotics, Vision and Control. (Springer, Ed.). Springer.
• 15. LASI, H., FETTKE, P., KEMPER, H.-G., FELD, T., & HOFFMANN, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239–242. https://doi.org/10.1007/s12599-014-0334-4.
• 16. ZLAJPAH, L. (2008). Simulation in robotics. Mathematics and Computers in Simulation, 79(4), 879–897. https://doi.org/10.1016/j.matcom.2008.02.017.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).