Open Access Open Access  Restricted Access Subscription Access

Development of An Automated Configuration System for Robot Work Cell

N. S. Osman, M. A. A. Rahman, A. A. Abdul Rahman, S. H. Kamsani, B. M. Bali Mohamad, E. Mohamad, Z. A. Zaini

Abstract


Configuration robot work cell has received considerable attention in the last few years due to it is very knowledge-intensive, intricate, and time-consuming process. This paper elaborated the development process of the automated configuration system (ACS) for (re-)configuring robot work cell while satisfying certain requirements of users in an innovative way. The primary purpose of this work was to provide a fast configuration system with less cost and human involvement at little or no further investment. The ACS was constructed based on the variant-shaped configuration concept with its mathematical model. A configuration and programming structure with a graphical user interface (GUI) were the outcomes of this work that were capable of determining the optimal robot work cell according to the user requirements e.g. the number of a robot, Nr and the types of configuration. This work utilized both macro and Visual Basic (VB) editor in CATIA 3D CAD software for creating a completed user interface. The current outcomes of this work will provide a basis for future investigation in determining the optimal layout of robot work cell that is dependable on other requirements.

Full Text:

PDF

References


R. Kia, F. Khaksar-Haghani, N. Javadian, and R. Tavakkoli-Moghaddam, “Solving a multi-floor layout design model of a dynamic cellular manufacturing system by an efficient genetic algorithm,” J. Manuf. Syst., vol. 33, no. 1, pp. 218–232, 2014.

M. A. A. Rahman, “Executable Framework for Reconfigurable

Flexible Manufacturing System,” School of Aerospace Mechanical and

Manufacturing Engineering College of Science Engineering and Health

RMIT University, 2014.

D. Spensieri, J. S. Carlson, R. Bohlin, J. Kressin, and J. Shi, “Optimal Robot Placement for Tasks Execution,” Procedia CIRP, vol. 44, pp. 395–400, 2016.

X. Su, “A Novel Multi-robot Workcells Designing and Positioning Method in Three-dimensional Space,” Int. J. Adv. Comput. Technol., vol. 4, no. 19, pp. 1–9, 2012.

M. A. A. Rahman, N. S. Osman, C. H. Boon, G. L. T. Poh, A. A. A. Rahman, B. M. B. Mohamad, S. H. Kamsani, E. Mohamad, Z. A. Zaini, and M. F. A. Rahman, “Configuring Safe Industrial Robot Work Cell in Manufacturing Industry,” J. Adv. Manuf. Technol., vol. 10, no. 2, pp. 125 -136, 2016.

M. A A Rahman, “Improvement of Safety System Installation for Industrial Robot Work Cell,” Universiti Tenaga Nasional, 2005.

N. S. Osman, M. A. A. Rahman, A. A. A. Rahman, B. M. B. Mohamad, and S.H. Kamsani, “Optimization of multiple robot configuration pattern using shape variant approach,” in Innovative Research and Industrial Dialogue,

IRID’16, vol.1, pp. 1-2, 2016.

P. Zheng, V. H. Torres, J. Ríos, and G. Zhao, “Integration of Conceptual Design and MOKA into CATIA v5: A Knowledge-Based Application for anAircraft Y-Bolt Component,” Appl. Mech. Mater., vol. 271–272, no. PART 1, pp. 974–980, 2012.

S. Siddesh and B. S. Suresh, “Automation of Generating CAD Models,” Journal of Mechanical Engineering and Automation, vol. 5, no. 3B, pp. 55–58, 2015.

G. Pintzos, C. Triantafyllou, N. Papakostas, D. Mourtzis, and G.

Chryssolouris, “Assembly precedence diagram generation through

assembly tiers determination,” Int. J. Comput. Integr. Manuf., vol. 3052, no. March, pp. 1–13, 2016.

B. T. Lin, K. M. Huang, K. Y. Su, and C. Y. Hsu, “Development of an automated structural design system for progressive dies,” Int. J. Adv. Manuf. Technol., vol. 68, no. 5–8, pp. 1887–1899, 2013.

Y. H. Sawant and A. Kadam, “Assembly of Horizontal Screw Conveyor in CATIA V5 using VBA,” International Research Journal of Multidisciplinary Studies, vol. 2, no. 1, pp. 1–6, 2016.

S. Ćuković, G. Devedžić, and I. Ghionea, “Automatic determination

of grinding tool profile for helical surfaces machining using catia/vb

interface,” UPB Sci. Bull. Ser. D Mech. Eng., vol. 72, no. 2, pp. 85–96, 2010.

Y. H. Sawant and U. M. Nimbalkar, “Automated Modeling of Screw

Conveyor Components in CATIA,” International Journal of Engineering

and Technical Research, no. 4, pp. 112–116, 2015.

P. G. Student, “Automatic Assembly of Mechanical Joint Based on Extraction of Dimensional Data and Geometric Information From A 3D CAD Model,” International Journal of Engineering Research & Technology (IJERT), vol. 3, no. 2, pp. 2192–2195, 2014.

N. S. Osman, M. A. A. Rahman, A. A. Abdul Rahman, S. H. Kamsani, B. M.

Bali Mohamad, E. Mohamad, Z. A. Zaini, M. F. Ab Rahman, and M. N. H. Mohamad Hatta, Automated platform for designing multiple robot work cells, IOP Conference Series: Materials Science and Engineering, vol. 210, no. 1, pp. 1-15, 2017.

S. Pellegrinelli, N. Pedrocchi, L. Molinari Tosatti, A. Fischer, and T. Tolio, “Multi-robot spot-welding cells: An integrated approach to cell design and motion planning,” CIRP Ann. - Manuf. Technol., vol. 63, no. 1, pp. 17–20, 2014.

L. Tao and Z. Liu, “Optimization on multi-robot workcell layout in vertical plane,” 2011 IEEE Int. Conf. Inf. Autom. ICIA 2011, June, pp. 744–749, 2011.

E. D. Zhang, L. L. Qi, and S. Murphy, “Method and System For Optimizing,” vol. 2, no. 12, 2012. Z. Nuss, R. Wellingstein, and I. Susan. Method and system for optimizing cellular networks operation, US Patent App. 13/680,779, 2013.

N. S. Osman, M. A. A. Rahman, A. A. A. Rahman, B. M. B. Mohamad, and S.H. Kamsani, “Determination of the optimal workspace and manufacturing throughput time for configuring robot work cell,” Proceedings of Mechanical Engineering Research Day 2017, pp. 103-104, 2017.




© Journal of Advanced Manufacturing Technology