Journal Of Applied and Computational Sciences in Mechanics

Journal Of Applied and Computational Sciences in Mechanics

Fixing the Defects of Burn mark and Short shot by Reducing the Clamping Force in the Production Process of Bushing 63 by Numerical and Statistical Methods

Document Type : Original Article

Authors
Ali Jafarzadeh 1
Ghasem Azamirad 2
Roya Soltani 3
Alireza Mollaei 4
1 Department of Manufacturing Mechanical Engineering, Yazd University
2 Mechanical Engineering, Yazd University
3 Senior expert of quality control and laboratory department, Yazd Poolica Industries Manufacturing Company
4 Ph.D. candidate, DTU Construct, Technical University of Denmark (DTU), Lyngby, Denmark
10.22067/jacsm.2024.88357.1264
Abstract
The plastic injection process is useful for the mass production of complex parts due to its low cost and high efficiency. In this process, burn mark and short shot in the produced part are the first effective factors in rejecting or accepting it from the operator's point of view. In this research, bushing 63 piece made of UPVC has been investigated. Validated simulation is a low-cost alternative to experimentally performing the process to determine optimal values. Process parameters that can be changed on the injection machine are considered as input parameters. From the data screening method, the parameters affecting the process are identified. By the response surface method and variance analysis, respectively, to fix the considered defects with the minimum amount of clamping force required. Finally, the predicted output values from the CCD method, when compared with the simulation results, showed an average error of 6.03%, and as a result, it confirms the accuracy of the conducted research.
Keywords
Simulation of plastic injection process
Burn mark defect
Short shot defect
Clamping force
Statistical analysis
Subjects
[1]    S.H. Tang, Y.M. Kong, S.M. Sapuan, R. Samin, S. Sulaiman, “Design and thermal analysis of plastic injection mould,” Journal of Materials Processing Technology, vol. 171, no. 2, pp. 259–267, 2006. https://doi.org/10.1016/j.jmatprotec.2005.06.075
[2]    Y. Xu, G. Liu, K. Dang, N. Fu, X. Jiao, J. Wang, P. Xie, W. Yang, “A novel strategy to determine the optimal clamping force based on the clamping force change during injection molding,” Polymer Engineering & Science, vol. 61, no. 12, pp. 3170–3178, 2021. https://doi.org/10.1002/pen.25829
[3]    J.-Y. Chen, C.-Y. Liu, M.-S. Huang, “Tie-bar elongation based filling-to-packing switchover control and prediction of injection molding quality,” Polymers (Basel), vol. 11, no. 7, pp. 1168, 2019. https://doi.org/10.3390/polym11071168
[4]    W. Su, H. Peng, “A real‐time clamping force measurement eigenvalue for prediction, adjustment, and control of injection product quality,” Polymer Engineering & Science, vol. 61, no. 3, pp. 420–431, 2021. https://doi.org/10.1002/pen.25585
[5]    Z. Jiao, H. Liu, P. Xie, W. Yang, “Clamping characteristics study on different types of clamping unit,” In AIP Conference Proceedings, vol. 1664, no. 1, 2015, p. 110009. https://doi.org/10.1063/1.4918484
[6]    H. Oktem, T. Erzurumlu, I. Uzman, “Application of Taguchi optimization technique in determining plastic injection molding process parameters for a thin-shell part,” Materials & Design, vol. 28, no. 5, pp. 1271–1278, 2007. https://doi.org/10.1016/j.matdes.2005.12.013
[7]    S. Beheshtian Mesgaran, F. Elhami Nik, S.E. Seyyed Mousavi, “Experimental and Numerical Analysis of Burn Marks and Shrinkage Effect on Injection Molding,” International Conference on Materials and Processing, American Society of Mechanical Engineers, 2017, p. V001T02A038-V001T02A038. https://doi.org/10.1115/MSEC2017-3009
[8]    B. Ravikiran, D.K. Pradhan, S. Jeet, D.K. Bagal, A. Barua, S. Nayak, “Parametric optimization of plastic injection moulding for FMCG polymer moulding (PMMA) using hybrid Taguchi-WASPAS-Ant Lion optimization algorithm,” Materials Today: Proceedings, vol. 56, no. 1, pp. 2411–2420, 2022. https://doi.org/10.1016/j.matpr.2021.08.204
[9]    A. Mollaei Ardestani, G. Azamirad, Y. Shokrollahi, M. Calaon, J.H. Hattel, M. Kulahci, R. Soltani, G. Tosello, “Application of Machine Learning for Prediction and Process Optimization—Case Study of Blush Defect in Plastic Injection Molding,” Applied Sciences, vol. 13, no. 4, p. 2617, 2023. https://doi.org/10.3390/app13042617
[10]  H. Hassan, N. Regnier, C. Pujos, E. Arquis, G. Defaye, “Modeling the effect of cooling system on the shrinkage and temperature of the polymer by injection molding,” Applied Thermal Engineering, vol. 30, no. 8-9, pp. 1547–1557, 2010. https://doi.org/10.1016/j.applthermaleng.2010.02.025
[11]  S. Hwang, P.P. Hsu, C. Chiang, “Shrinkage study of textile roller molded by conventional/microcellular injection-molding process,” International Communications in Heat and Mass Transfer, vol. 35, no. 6, pp. 735–743, 2008. https://doi.org/10.1016/j.icheatmasstransfer.2008.02.011
[12]  F. Yin, H. Mao, L. Hua, W. Guo, M. Shu, “Back propagation neural network modeling for warpage prediction and optimization of plastic products during injection molding,” Materials & Design, vol. 32, no. 4, pp. 1844–1850, 2011. https://doi.org/10.1016/j.matdes.2010.12.022
[13]  S. Kitayama, S. Natsume, “Multi-objective optimization of volume shrinkage and clamping force for plastic injection molding via sequential approximate optimization,” Simulation Modelling Practice and Theory, vol. 48, no. 1, pp. 35–44, 2014. https://doi.org/10.1016/j.simpat.2014.07.004
[14]  E.A. Wibowo, A. Syahriar, A. Kaswadi, “Analysis and simulation of short shot defects in plastic injection molding at multi cavities,” In Proceedings of the 2020 International Conference on Engineering and Information Technology for Sustainable Industry, vol. 1, no. 1, 2020, pp. 1–6. https://doi.org/10.1145/3429789.3429837
[15]  L.D. Mahajan, P.N. Ulhe, “Analysis of Injection Molding Process to Reduced Defects (Short-Shot),” International Journal of Engineering Technologies and Management Research, vol. 5, no. 6, pp. 113–119, 2018. http://doi.org/10.5281/zenodo.1313112
[16]  Q.M. Usman Jan, T. Habib, S. Noor, M. Abas, S. Azim, Q.M. Yaseen, “Multi response optimization of injection moulding process parameters of polystyrene and polypropylene to minimize surface roughness and shrinkage’s using integrated approach of S/N ratio and composite desirability function,” Cogent Engineering, vol. 7, no. 1, p. 1781424, 2020. https://doi.org/10.1080/23311916.2020.1781424
[17]  O. Izadi, P. Mosaddegh, “Experimental investigation and simulation of PA6 warpage based on thermomechanical behavior obtained from uniaxial tensile test,” Amirkabir Journal of Mechanical Engineering, vol. 52, no. 5, pp. 1127–1138, 2019. https://doi.org/10.22060/mej.2019.15196.6057
[18]  M. Moavenian, A. Esmaili Khiabani, H. Janani, “Comparison of process conditions and defects of plastic injection in replacing biodegradable polymer polylactic acid (PLA) with polypropylene (PP) for the production of centrifuge tubes (Falcon),” The 19th National Conference and the 8th International Conference on Construction and Production Engineering of Iran, 2022.
 [19] B. Akhoundi, V. Modanloo, A. Mashayekhi, “Numerical and experimental investigation of the effect of gate size, holding pressure and holding pressure time on the shrinkage of polyoxymethylene plastic injection parts,” The Third International Conference on New Technologies in Science, 2023.
 [20] Z. Abolhasani Far, N. Ramadanian, S. Abozae Fanayi, N. Akhlian, “Investigation and comparison of aluminum and tool steel molds on the results of warpage and volume shrinkage with simulation of plastic injection using Moldflow software in the production of rollers based on polyethylene vinyl acetate,” The 19th National Conference and the 8th International Conference on Construction and Production Engineering of Iran, 2022.   
[21]  D.F. Heaney, C.D. Greene, Molding of components in metal injection molding (MIM), Handbook of Metal Injection Molding, Elsevier, 2019.
[22]  M.H. Chiang, Y.P. Yeh, F.L. Yang, Y.N. Chen, “Integrated control of clamping force and energy-saving in hydraulic injection moulding machines using decoupling fuzzy sliding-mode control,” The International Journal of Advanced Manufacturing Technology, vol. 27, pp. 53–62, 2005. https://doi.org/10.1007/s00170-004-2138-z
[23]  M.-S. Huang, K.-Y. Chen, R.-F. Fung, “Comparison between mathematical modeling and experimental identification of a spatial slider–crank mechanism,” Applied Mathematical Modelling, vol. 34, pp. 2059–2073, 2010. https://doi.org/10.1016/j.apm.2009.10.018
[24]  Y. Kudo, T. Hakoda, K. Nakamura, S. Morozumi, “Method of setting mold clamping force of injection molding machine,” 2011.
[25]  M.-S. Huang, C.-Y. Lin, “A novel clamping force searching method based on sensing tie-bar elongation for injection molding,” International Journal of Heat and Mass Transfer, vol. 109, pp. 223–230, 2017. https://doi.org/10.1016/j.ijheatmasstransfer.2017.02.004
[26]  Y. Fukushima, T. Suzuki, K. Onda, H. Komatsu, H. Kuroiwa, T. Kaburagi, “Study on the online monitoring of burn marks by gas sensor,” International Journal of Automation Technology, vol. 11, no. 1, pp. 112–119, 2017. https://doi.org/10.20965/ijat.2017.p0112
[27]  J. Li, W. Liu, X. Xia, H. Zhou, L. Jing, X. Peng, S. Jiang, “Reducing the burn marks on injection-molded parts by external gas-assisted injection molding,” Polymers (Basel), vol. 13, no. 1, pp. 1–10, 2021. https://doi.org/10.3390/polym13010144
 
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