Ensuring economic efficiency of flexible fixtures in multiproduct manufacturing

• Autorzy: Ivanov Vitalii. , Liaposhchenko Oleksandr , Denysenko Yuliia , Pavlenko Ivan

Identyfikatory

DOI

10.2478/emj-2021-0004

• Języki publikacji: EN

Abstrakty

EN

The first-priority directions for modern engineering, especially for multiproduct manufacturing, include the intensification of manufacturing processes, increasing the efficiency of technological equipment, and reducing the time required to implement technological solutions. Fixture design is a complicated and time-consuming process that requires considering many parameters of the closed-loop technological system “machine tool — fixture — cutting tool — workpiece”. One machined part can have several fixture layouts corresponding to all specified parameters; however, their effectiveness differs depending on production conditions. Search for an optimal fixture for specified production conditions is an essential stage of production planning. It has been proved that the efficiency of a manufacturing process should be assessed using single economic indicator — the cost of machining, which considers the costs of time, the total costs for process realisation, and a batch of parts. The paper aims to substantiate the efficiency of manufacturing processes in machining complex parts using flexible fixtures by developing a mathematical model that considers the cost of time, the cost of implementing the manufacturing process, and the batch value of parts production. This approach estimates the efficiency of manufacturing processes for machining complex parts and choosing the flexible fixture layout that corresponds to specific production conditions. It was proved that flexible fixtures could be effectively used for machining small batches of parts with frequent readjustments to new workpieces and short-term machining. A tendency has been established that the higher number of nomenclature of parts contributes to expanding the scope of the effective use of flexible fixtures.

Słowa kluczowe

EN

flexible manufacturing; fixture design; multi-axis machining; cost of machining

PL

elastyczna produkcja; projekt oprawy; obróbka skrawaniem; koszty obróbki

• Wydawca: Oficyna Wydawnicza Politechniki Białostockiej
• Czasopismo: Engineering Management in Production and Services
• Rocznik: 2021
• Tom: Vol. 13, no. 1
• Strony: 53--62
• Opis fizyczny: Bibliogr. 39 poz., tab., rys., wykr.

Twórcy

autor

Ivanov Vitalii.

• Sumy State University, Ukraine

• https://orcid.org/0000-0003-0595-2660

autor

Liaposhchenko Oleksandr

• Sumy State University, Ukraine

• https://orcid.org/0000-0002-6657-7051

autor

Denysenko Yuliia

• Sumy State University, Ukraine

• https://orcid.org/0000-0002-9816-2862

autor

Pavlenko Ivan

• Sumy State University, Ukraine

• https://orcid.org/0000-0002-6136-1040

Bibliografia

• Ansaloni, M., Bonazzi, E., Leali, F., Pellicciari, M., & Berselli, G. (2013). Design of fixture systems in automotive manufacturing and assembly. Advanced Materials Research, 712-715, 2913-2916. doi: 10.4028/www.scientific.net/AMR.712-715.2913
• Bakker, O. J., Papastathis, T. N., Ratchev, S. M., & Popov, A. A. (2013). Recent research on flexible fixtures for manufacturing processes. Recent Patents on Mechanical Engineering, 6(2). doi: 10.2174/2212797611306020003
• Basova, Y., Nutsubidze, K., Ivanova, M., Slipchenko, S., & Kotliar, A. (2018). Design and numerical simulation of the new design of the gripper for manipulating of the rotational parts. Diagnostyka, 19(4), 11-18. doi: 10.29354/diag/94030
• Brettel, M., Klein, M., & Friederichsen, N. (2016). The relevance of manufacturing flexibility in the context of Industrie 4.0. Procedia CIRP, 41, 105-110. doi: 10.1016/j.procir.2015.12.047
• Bi, Z. M., & Zhang, W. J. (2001). Flexible fixture design and automation: Review, issues and future directions. International Journal of Production Research, 39(13), 2867-2894. doi: 10.1080/00207540110054579
• Dehtiarov, I. M. (2017). Technological support of lever-type part machining in batch manufacturing using flexible fixtures. Ph.D. thesis, Manugacturing Engineering. Kharkiv, Ukraine: National Technical University “Kharkiv Polytechnic Institute”.
• Denysenko, Y., Dynnyk, O., Yashyna, T., Malovana, N., & Zaloga, V. (2019). Implementation of CALS-technologies in quality management of product life cycle processes. In V. Ivanov et al. (Eds.), Advances in Design, Simulation and Manufacturing. DSMIE-2018. Lecture Notes in Mechanical Engineering (pp. 3-12). Cham, UK: Springer. doi: 10.1007/978-3-319-93587- 4_1
• Dynnyk, O., Denysenko, Y., Zaloga, V., Ivchenko, O., & Yashyna, T. (2020). Information support for the quality management system assessment of engineering enterprises. In V. Ivanov et al. (Eds.), Advances in Design, Simulation and Manufacturing II. DSMIE-2019. Lecture Notes in Mechanical Engineering (pp. 65-74). Cham, UK: Springer. doi: 10.1007/978-3-030-22365-6_7
• Elkins, D. A., Huang, N., & Alden, J. M. (2004). Agile manufacturing systems in the automotive industry. International Journal of Production Economics, 91, 201-214.
• Erdem, I. (2020). Efficiency of flexible fixtures: design and control. Ph.D. thesis, Industrial and Materials Science. Gothenburg, Sweden: Chalmers University of Technology.
• Erdem, I., Levandowski, C., Berlin, C., Kihlman, H., & Stahre, J. (2017). A novel comparative design procedure for reconfigurable assembly fixtures. CIRP Journal of Manufacturing Science and Technology, 19, 93-105. doi: 10.1016/j.cirpj.2017.06.004
• Förstmann, R., Wagner, J., Kreisköther, K., Kampker, A., & Busch, D. (2017). Design for automation: the rapid fixture approach. Procedia Manufacturing, 11, 633- 640. doi: 10.1016/j.promfg.2017.07.161
• Ganesan, H., & Mohankumar, G. (2013). Optimization of machining techniques in CNC turning centre using genetic algorithm. Arabian Journal for Science and Engineering, 38, 1529-1538. doi: 10.1007/s13369- 013-0539-8
• Hasan, F., Jain, P. K., & Kumar, D. (2014). Service level as performance index for reconfigurable manufacturing system involving multiple part families. In B. Katalinic (Ed.), 24th DAAAM International Symposium on Intelligent Manufacturing and Automation, 2013 Procedia Engineering, pp. 814-821. doi: 10.1016/j.proeng.2014.03.058
• Hashemi, H., Shaharoun, A. M., & Sudin, I. (2014). A casebased reasoning approach for design of machining fixture. International Journal of Advanced Manufacturing Technology, 74(1-4), 113-124. doi: 10.1007/ s00170-014-5930-4
• Ivanov, V., Dehtiarov, I., Pavlenko, I., Kosov, I., & Kosov, M. (2019). Technology for complex parts machining in multiproduct manufacturing. Management and Production Engineering Review, 10(2), 25-36. doi: 10.24425/mper.2019.129566
• Ji, Y., Chen, X., Qi, G., & Song, L. (2013). Modular design involving effectiveness of multiple phases for product life cycle. International Journal of Advanced Manufacturing Technology, 66, 1475-1488. doi: 10.1007/ s00170-012-4432-5
• Kostyuk, G. (2019). Prediction of the microhardness characteristics, the removable material volume for the durability period, cutting tools durability and processing productivity depending on the grain size of the coating or cutting tool base material. In B. Gapiński, M. Szostak, V. Ivanov (Eds.), Advances in Manufacturing II. MANUFACTURING 2019. Lecture Notes in Mechanical Engineering (pp. 300-316). Cham, UK: Springer. doi: 10.1007/978-3-030-16943-5_27
• Kostyuk, G., Nechyporuk, M., & Kostyk, K. (2019). Determination of technological parameters for obtaining nanostructures under pulse laser radiation on steel of drone engine parts. 10th International Conference on Dependable Systems, Services and Technologies, DESSERT 2019: Institute of Electrical and Electronics Engineers Inc., 208-212. doi: 10.1109/DESSERT.2019.8770053
• Kotliar, A., Basova, Y., Ivanova, M., Gasanov, M., & Sazhniev, I. (2019a). Technological assurance of machining accuracy of crankshaft. In M. Diering, M. Wieczorowski, & C. Brown (Eds.), Advances in Manufacturing II. MANUFACTURING 2019. Lecture Notes in Mechanical Engineering (pp. 37-51). Cham, UK: Springer. doi: 10.1007/978-3-030-18682-1_4
• Kotliar, A., Gasanov, M., Basova, Y., Panamariova, O., & Gubskyi, S. (2019b). Ensuring the reliability and performance criterias of crankshafts. Diagnostyka, 20(1), 23-32. doi: 10.29354/diag/99605
• Krol, O., & Sokolov, V. (2018). Development of models and research into tooling for machining centers. EasternEuropean Journal of Enterprise Technologies, 3(1-93), 12-22. doi: 10.15587/1729-4061.2018.131778
• Li, H., Chen, W., & Shi, S. (2016). Design and application of flexible fixture. Procedia CIRP, 56, 528-532. doi: 10.1016/j.procir.2016.10.104
• Li, M. (2007). Efficiency measurement for multi-dimensional group technology. International Journal of Advanced Manufacturing Technology, 35, 621-632. doi: 10.1007/s00170-006-0734-9
• Matteo, A., Enrico, B., Francesco, L., Marcello, P., & Berselli, G. (2013). Design of fixture systems in automotive manufacturing and assembly. In X. Liu, K. Zhang, & M. Li (Eds.) Advances in Manufacturing Science and Engineering, Pts 1-4 Advanced Materials Research, pp. 2913-2916. doi: 10.4028/www.scientific.net/AMR.712-715.2913
• Mehrabi, M. G., Ulsoy, A. G., Koren, Y., & Heytler, P. (2002). Trends and perspectives in flexible and reconfigurable manufacturing systems. Journal of Intelligent Manufacturing, 13(2), 135-146. doi: 10.1023/A:1014536330551
• Neely, A. (1999). The performance measurement revolution: Why now and what next? International Journal of Operations and Production Management, 19, 205- 228.
• Nixon, F. (1971). Managing to achieve quality and reliability. New York, London: McGraw-Hill.
• McIntosh, R. I., Culley, S. J., Mileham, A. R., & Owen, G. W. (2000). A critical evaluation of Shingo’s ‘SMED’ (Single Minute Exchange of Die) methodology. International Journal of Production Research, 38, 2377-2395.
• Qin, G. H., Zhang, W. H., Wan, V., & Sun, S. P. (2010). A novel approach to fixture design based on locating correctness. International Journal of Manufacturing Research, 5(4), 429-448. doi: 10.1504/IJMR.2010.035812
• Rong, Y., & Zhu, Y. (1999). Computer-aided fixture design. Manufacturing engineering and materials processing New York, USA: Marcel Dekker.
• Sarker, B.R., & Khan, M. A (2001). Comparison of existing grouping efficiency measures and a new weighted grouping efficiency measure. IIE Transactions, 33, 11-27. doi: 10.1023/A:1007633622787
• Setchi, R. M., & Lagos, N. (2004). Reconfigurability and reconfigurable manufacturing systems - State-of-the-art review. 2004 2nd Ieee International Conference on Industrial Informatics: Collaborative Automation - One Key for Intelligent Industrial Environments.
• Shaik, A. M., Rao, V., & Rao, C. S. (2015). Development of modular manufacturing systems-a review. International Journal of Advanced Manufacturing Technology, 76(5-8), pp. 789-802. doi: 10.1007/s00170-014-6289-2.
• Sokolov, V., Krol, O., & Baturin, Y. (2019). Dynamics research and automatic control of technological equipment with electrohydraulic drive. 2019 International Russian Automation Conference, RusAutoCon 2019: Institute of Electrical and Electronics Engineers Inc.
• Son, Y. K., &Park, C. P. (1987). Economic measure of productivity, quality and flexibility in advanced manufacturing systems. Journal of Manufacturing Systems, 6(3), 193-207. doi: 10.1016/0278-6125(87)90018-5.
• Sonmez, V., Testik, M. C. & Testik, O. M. (2018). Overall equipment effectiveness when production speeds and stoppage durations are uncertain. International Journal of Advanced Manufacturing Technology, 95, 121–130. doi: 10.1007/s00170-017-1170-8
• Stepanov, M., Ivanova, L., Litovchenko, P., Ivanova, M., & Basova, Y. (2019). Model of thermal state of the system of application of coolant in grinding machine. In: Ivanov V. et al. (eds), Advances in Design, Simulation and Manufacturing. DSMIE 2018. Lecture Notes in Mechanical Engineering. Springer, Cham. pp. 156- 165. doi: 10.1007/978-3-319-93587-4_17
• Yarovyi, Y., & Yarova, I. (2020). Energy criterion for metal machining methods. In: Ivanov V. et al. (eds), Advances in Design, Simulation and Manufacturing II. DSMIE 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. pp. 378-387. doi: 10.1007/978-3-030-22365-6_38

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).