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Algorithms for Design with CNC Machines: The Case Study of Wood Furniture

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Numerical Computations: Theory and Algorithms (NUMTA 2023)

Abstract

Thanks to the application of the Industry 4.0 paradigm, contemporary factories consist of flexible production lines that can generate countless product variations without substantial increases in production costs. This study highlighted a scientific and technological gap between the flexible manufacturing system and the design system adopted to make products. In fact, commonly used CAD design technologies are static and do not allow the generation of dynamic and variable designs, causing the need to redesign models in whole or in part in order to realize variations in the generated shapes. In this paper, an algorithm-based generative design methodology oriented to the flexible manufacturing paradigm is proposed. This design approach, based on parametric modeling in Grasshopper, allows countless geometric variations of a product to be automatically generated while returning input CAD files for CNC machines. Specifically, the proposed design approach was tested by making two applications for the wood furniture industry; the output obtained in the case studies consists of a generative and parametric algorithm. The generative system provides a file for advanced manufacturing systems; in the case study, a numerically controlled laser cutter, one of the most popular machines for making flat panels from wood and metal, was chosen. The results obtained showed how the algorithmic design approach is of great importance in order to ensure customized production without substantial cost increases. This is made possible through algorithmic design automation and contemporary manufacturing technologies.

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References

  1. Bertacchini, F., Pantano, P., Bilotta, E.: Shaping the aesthetical landscape by using image statistics measures. Acta Physiol. (Oxf) 224, 103530 (2022)

    MATH  Google Scholar 

  2. Bertacchini, F., Bilotta, E., Caldarola, F., Pantano, P.: The role of computer simulations in learning analytic mechanics towards chaos theory: a course experimentation. Int. J. Math. Educ. Sci. Technol. 50(1), 100–120 (2019)

    Article  MATH  Google Scholar 

  3. Bertacchini, F., Bilotta, E., Carini, M., Gabriele, L., Pantano, P., Tavernise, A.: Learning in the smart city: a virtual and augmented museum devoted to chaos theory. In: Chiu, D.K.W., Wang, M., Popescu, E., Li, Q., Lau, R. (eds.) ICWL 2012. LNCS, vol. 7697, pp. 261–270. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-43454-3_27

    Chapter  MATH  Google Scholar 

  4. Bertacchini, F., et al.: Preliminary study of an innovative method to increase the accuracy in direct 3d-printing of nurbs objects. In: 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4. 0 &IoT), pp. 94–98. IEEE (2021)

    Google Scholar 

  5. Bertacchini, F., Bilotta, E., De Pietro, M., Demarco, F., Pantano, P., Scuro, C.: Modeling and recognition of emotions in manufacturing. Int. J. Interactive Des. Manuf. (IJIDeM) 16(4), 1357–1370 (2022)

    Article  MATH  Google Scholar 

  6. Bertacchini, F., Bilotta, E., Demarco, F., Pantano, P., Scuro, C.: Multi-objective optimization and rapid prototyping for jewelry industry: methodologies and case studies. Int. J. Adv. Manuf. Technol. 112, 2943–2959 (2021)

    Article  MATH  Google Scholar 

  7. Bertacchini, F., Bilotta, E., Demarco, F., Pantano, P., Scuro, C.: Increase the accuracy in direct 3D-printing of mathematical patterns for smart manufacturing. In: 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4. 0 &IoT), pp. 387–391. IEEE (2022)

    Google Scholar 

  8. Bertacchini, F., Bilotta, E., Gabriele, L., Pantano, P., Servidio, R.: Using lego mindstorms in higher education: cognitive strategies in programming a quadruped robot. In: Workshop proceedings of the 18th international conference on computers in education, ICCE, pp. 366–371 (2010)

    Google Scholar 

  9. Bertacchini, F., et al.: An emotional learning environment for subjects with autism spectrum disorder. In: 2013 International Conference on Interactive Collaborative Learning (ICL), pp. 653–659. IEEE (2013)

    Google Scholar 

  10. Bertacchini, F., Gabriele, L., Tavernise, A., et al.: Bridging educational technologies and school environment: implementations and findings from research studies. In: Educational Theory, pp. 63–82. Nova Science Publishers, Inc. (2011)

    Google Scholar 

  11. Bertacchini, F., Pantano, P.S., Bilotta, E.: Jewels from chaos: a fascinating journey from abstract forms to physical objects. Chaos Interdiscipl. J. Nonlinear Sci. 33(1) (2023)

    Google Scholar 

  12. Bertacchini, F., Scuro, C., Pantano, P., Bilotta, E.: Modelling brain dynamics by Boolean networks. Sci. Rep. 12(1), 16543 (2022)

    Article  MATH  Google Scholar 

  13. Bertacchini, F., Scuro, C., Pantano, P., Bilotta, E.: A project based learning approach for improving students’ computational thinking skills. Front. Robot. AI 9 (2022)

    Google Scholar 

  14. Bilotta, E., Gabriele, L., Servidio, R., Tavernise, A.: Edutainment robotics as learning tool. Trans. Edutainment III, 25–35 (2009)

    Google Scholar 

  15. Cebrail, A., Tutuş, A.: The effect of traditional and laser cutting on surface roughness of wood materials used in furniture industry. Wood Industry Eng. 2(2), 45–50 (2020)

    Google Scholar 

  16. Demarco, F., Bertacchini, F., Scuro, C., Bilotta, E., Pantano, P.: The development and application of an optimization tool in industrial design. Int. J. Interact. Des. Manuf. (IJIDeM) 14(3), 955–970 (2020). https://doi.org/10.1007/s12008-020-00679-4

    Article  MATH  Google Scholar 

  17. Efendy, E., French, M.: Reducing build variation in arched guitar plates. In: Proulx, T. (eds.) Experimental and Applied Mechanics, Volume 6: Proceedings of the 2010 Annual Conference on Experimental and Applied Mechanics, pp. 607–620. Springer, New York (2011). https://doi.org/10.1007/978-1-4419-9792-0_89

  18. Gabriele, L., Tavernise, A., Bertacchini, F.: Active learning in a robotics laboratory with university students. In: Increasing Student Engagement and Retention Using Immersive Interfaces: Virtual Worlds, Gaming, and Simulation, vol. 6, pp. 315–339. Emerald Group Publishing Limited (2012)

    Google Scholar 

  19. Herrmann, J.W., et al.: New directions in design for manufacturing. In: International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 46962, pp. 853–861 (2004)

    Google Scholar 

  20. Marco, L., Farinella, G.M.: Computer Vision for Assistive Healthcare. Academic Press (2018)

    Google Scholar 

  21. Nguyen, D.C., Shim, C.S.: Design for manufacturing and assembly-oriented parametric modelling of prefabricated bridges. In: Proceedings of IABSE Symposium: Challenges for Existing and Oncoming Structures, Prague, Czech Republic, 25–27 May 2022 (2022)

    Google Scholar 

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Correspondence to Francesco Demarco .

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This research was granted by Next Generation UE - PNRR Tech4You Project funds assigned to University of Calabria (PP1.4.2 - Process of chaotic design, Scientifc Coordinator: Professor Pietro Pantano).

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Demarco, F., Bertacchini, F., Bilotta, E., Scuro, C., Pantano, P. (2025). Algorithms for Design with CNC Machines: The Case Study of Wood Furniture. In: Sergeyev, Y.D., Kvasov, D.E., Astorino, A. (eds) Numerical Computations: Theory and Algorithms. NUMTA 2023. Lecture Notes in Computer Science, vol 14478. Springer, Cham. https://doi.org/10.1007/978-3-031-81247-7_22

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  • DOI: https://doi.org/10.1007/978-3-031-81247-7_22

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