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A specified weight-cutting system for irregular solid materials such as rubber is important for industrial engineering. Currently, the workers’ experience is used, which has low accuracy and efficiency. A specified weight cutting system for irregular solid material based on 3D scanning is proposed in this paper, which aims to overcome the inaccuracy and inefficiency of the manual cutting process. Firstly, the surface of the irregular solid material is scanned by a tracking 3D laser scanner, and a triangular mesh file is generated. Secondly, the defects of the 3D model are repaired by reverse engineering, and then the 3D model file of the irregular objects is generated. Finally, the cutting position of the specified weight solid material is calculated by the calculation algorithm in UG software. In short, this research creates a new method for processing data collected by the 3D scanner, by working jointly with multiple devices and software, facilitating the cutting of irregular solid materials with specified weights. Additionally, the system has the advantage of accuracy and efficiency over the experience of workers.
Rocznik
Tom
Strony
art. no. e143108
Opis fizyczny
Bibliogr. 17 poz., rys., tab.
Twórcy
autor
- College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
autor
- Xi’an Modern Chemistry Research Institute, Xi’an, 710065, China
autor
- College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
autor
- College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
Bibliografia
- [1] A. Hasan, Rochmadi, H. Sulistyo, and S. Honggokusumo, “Rubber mixing process and its relationship with bound rubber and crosslink density,” in IOP Conf. Ser.: Mater. Sci. Eng. Global Conference on Polymer and Composite Materials (PCM), 2017, vol. 213, p. 012048, doi: 10.1088/1757-899x/213/1/012048.
- [2] K.G. Alahapperuma, “Optimize technical properties with master batch blends in RSS/Scrap rubber tire retread compounds,” in Moratuwa Engineering Research Conference (MERCon)/7th International Multidisciplinary Engineering Research Conference, 2021, pp. 549–554, doi: 10.1109/mercon52712.2021.9525745.
- [3] Y. Nakanishi, K. Mita, K. Yamamoto, K. Ichino, and M. Takenaka, “Effects of mixing process on spatial distribution and coexistence of sulfur and zinc in vulcanized EPDM rubber,” Polymer, vol. 218, p. 7, Mar 2021, doi: 10.1016/j.polymer.2021.123486.
- [4] S.R. Silva, M. Almeida, I. Condotta, A. Arantes, C. Guedes, and V. Santos, “Assessing the feasibility of using kinect 3D images to predict light lamb carcasses composition from leg volume,” Animals, vol. 11, no. 12, p. 3595, Dec 2021, doi: 10.3390/ani11123595.
- [5] Y.H. Fan, Y.S. Xu, Z.P. Hao, and J.Q. Lin, “Dynamic behavior description and three-dimensional cutting simulation of SiCp/Al composites with high volume fraction,” J. Manuf. Process., vol. 77, pp. 174–189, May 2022, doi: 10.1016/j.jmapro.2022.03.015.
- [6] T.T.M. Huynh, L. TonThat, and S.V.T. Dao, “A vision-based method to estimate volume and mass of fruit/vegetable: Case study of sweet potato,” Int. J. Food Prop., vol. 25, no. 1, pp. 717–732, Dec 2022, doi: 10.1080/10942912.2022.2057528.
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- [8] M. Riccabona, T.R. Nelson, D.H. Pretorius, and T.E. Davidson, “Distance and volume measurement using 3-dimensional ultrasonography,” J. Ultrasound Med., vol. 14, no. 12, pp. 881–886, Dec 1995, doi: 10.7863/jum.1995.14.12.881.
- [9] W. Blaszczak-Bak, Z. Koppanyi, and C. Toth, “Reduction Method for Mobile Laser Scanning Data,” ISPRS Int. J. Geo-Inf., vol. 7, no. 7, p. 285, Jul 2018, doi: 10.3390/ijgi7070285.
- [10] A. Dipanda and S. Woo, “Towards a real-time 3D shape reconstruction using a structured light system,” Pattern Recognit., vol. 38, no. 10, pp. 1632–1650, Oct 2005, doi: 10.1016/j.patcog.2005.01.006.
- [11] Y.T. Sun, T.W. Yang, X.Q. Cheng, and Y. Qin, “Volume measurement of moving irregular objects using linear laser and camera,” in 8th IEEE Annual International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER), 2018, pp. 1288–1293, doi: 10.1109/CYBER.2018.8688302.
- [12] A. Palomer, P. Rada, D. Youakim, D. Ribas, J. Forest, and Y. Petillot, “3D laser scanner for underwater manipulation,” Sensors, vol. 18, no. 4, p. 1086, Apr 2018, doi: 10.3390/s18041086.
- [13] C.S. Park, H.P. Jeon, K.S. Choi, J.P. Kim, and N.K. Park, “Application of 3D laser scanner to forensic engineering,” J. Forensic Sci., vol. 63, no. 3, pp. 930–934, May 2018, doi: 10.1111/1556-4029.13632.
- [14] X.G. Feng, M. Li, and J.X. Liu, “Study on application of terrestrial 3D laser scanning technology in the calculation of the fine earthwork,” in Applied Mechanics and Materials: Advances in Civil and Industrial Engineering IV, vol. 580, pp. 2833–2837, 2014, , doi: 10.4028/www.scientific.net/AMM.580-583.2833.
- [15] D. Xiao, M.M. Song, B.K. Ghosh, N. Xi, T.J. Tarn, and Z.Y. Yu, “Real-time integration of sensing, planning and control in robotic work-cells,” Control Eng. Pract., vol. 12, no. 6, pp. 653–663, Jun 2004, doi: 10.1016/s0967-0661(03)00146-1.
- [16] U.J. Botero et al., “Hardware trust and assurance through reverse engineering: A tutorial and outlook from image analysis and machine learning perspectives,” ACM J. Emerg. Technol. Comput. Syst., vol. 17, no. 4, p. 62, Oct. 2021, doi: 10.1145/3464959.
- [17] I. Rojek, D. Mikolajewski, J. Nowak, Z. Szczepanski, and M. Macko, “Computational intelligence in the development of 3D printing and reverse engineering,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 70, no. 1, p. e140016, Feb. 2022, doi: 10.24425/bpasts.2021.140016.
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).
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Bibliografia
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bwmeta1.element.baztech-9f2b9129-f083-4645-85ad-1951b864ffc1