Abstract
Volumetric shrinkage and warpage are the most two common defects in plastic injection moulding process that affects the overall quality characteristics of the plastics part. The use of the Taguchi optimization technique to assess and minimized volumetric shrinkage and warpage concerns that impact processing parameters during the production of disposable mouth mirrors made of Polypropylene (PP) plastic is described in this article. The process parameters that have been selected includes melting temperature, flow rate, cooling time and mold temperature during the injection moulding process simulation based on three levels and four factors in L9 orthogonal array. The Taguchi Method was used to further analyze the simulated responses, followed by Grey Relational Analysis (GRA). The signal-to-noise (S/N) ratio graphs are examined to determine the influence of process parameters. Furthered, the Analysis of Variance (ANOVA) has been used to verify the accuracy of the optimization findings. Finally, an optimal combination of operating parameters has been proposed: melting temperature at 180 °C, flow rate at 243.6 cm3/s, cooling time at 12 s and mold temperature at 30 °C was suggest for best optimum combination.
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References
López A, Aisa J, Martinez A, Mercado D (2016) Injection moulding parameters influence on weight quality of complex parts by means of DOE application: case study. Meas J Int Meas Confed 90:349–356
Oktem H, Erzurumlu T, Uzman I (2007) Application of Taguchi optimization technique in determining plastic injection molding process parameters for a thin-shell part. Mater Des 28(4):1271–1278
Khan RM, Acharya G (2016) Plastic injection molding process and its aspects for quality: a review. Eur J Adv Eng Technol 3(4):66–70
Moayyedian M, Abhary K, Marian R (2016) Gate design and filling process analysis of the cavity in injection molding process. Adv Manuf 4(2):123–133
Li K, Yan S, Zhong Y, Pan W, Zhao G (2018) Multi-objective optimization of the fiber-reinforced composite injection molding process using Taguchi method, RSM, and NSGA-II. Simul Model Pract Theory 91:69–82
Kuram E, Tasci E, Altan AI, Medar MM, Yilmaz F, Ozcelik B (2013) Investigating the effects of recycling number and injection parameters on the mechanical properties of glass-fibre reinforced nylon 6 using Taguchi method. Mater Des 49:139–150
Sreedharan J, Jeevanantham AK (2018) Optimization of injection molding process to minimize weld-line and sink-mark defects using Taguchi based grey relational analysis. Mater. Today Proc. 5(5):12615–12622
Kitayama S, Miyakawa H, Takano M, Aiba S (2017) Multi-objective optimization of injection molding process parameters for short cycle time and warpage reduction using conformal cooling channel, pp 1735–1736
Oliaei E et al (2016) Warpage and shrinkage optimization of injection-molded plastic spoon parts for biodegradable polymers using Taguchi, ANOVA and artificial neural network methods. J Mater Sci Technol 32(8)
Chetan D (2011) Mouth mirror (dental mirror)—parts, types and functions. [Online]. Available: https://www.drchetan.com/mouth-mirror.html
Ramakrishnan R, Mao K (2017) Minimization of shrinkage in injection molding process of acetal polymer gear using Taguchi DOE optimization and ANOVA method. Int J Mech Ind Technol 4(2):72–79
Acknowledgements
The authors would like to express their gratitude to the College of Engineering, School of Mechanical Engineering, Research Management Institute, Universiti Teknologi MARA (600-RMC/GPK 5/3 (010/2020) and the Malaysian Ministry of Education.
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Saedon, J.B., Azlan, M.Z., Adenan, M.S., Azuddin, M. (2022). Multi-objectives Optimization of Volumetric Shrinkage and Warpage for Disposable Mouth Mirrors Using Taguchi Method, ANOVA and Grey Relational Analysis (GRA). In: Abdul Sani, A.S., et al. Enabling Industry 4.0 through Advances in Manufacturing and Materials. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-2890-1_16
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DOI: https://doi.org/10.1007/978-981-19-2890-1_16
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