Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Throughout the casting process, mold filling plays a very significant role in the casting quality control. It is important to study the effect of gating system design on ingate velocity of the metal which affects the mechanical properties of casting. The effect of varying the design of four gating system elements namely pouring cup, sprue height, runner and ingate design on the multiple responses like tensile strength and percentage elongation is studied using a Taguchi’s L9 OA. The Taguchi technique was coupled with a Grey Relational Analysis (GRA) to obtain a Grey Relational Grade (GRG) for evaluating multiple responses. ANOVA has been applied to identify the significance of different parameters and it was found that the pouring cup design and the runner cross-section along its length collectively contributed above 76% of the total GRG value. Finally, the confirmation tests were performed to validate the predicted optimized results and it established an improvement of 9.90% from the initial design.
Czasopismo
Rocznik
Tom
Strony
72--77
Opis fizyczny
Bibliogr. 24 poz., rys., tab.
Twórcy
autor
- Veermata Jijabai Technological Institute, India
autor
- National Institute of Industrial Engineering, India
Bibliografia
- [1] Masoumi, M., Hu, H., Hedjazi, J. & Boutorabi, M.A. (2005). Effect of Gating Design on Mold Filling. AFS Transaction. 113(2), 185-196.
- [2] Dučić, N., Slavković, R., Milićević, I., Ćojbašić, Ž., Manasijević, S. & Radiša, R. (2017). Optimization of the Gating System for Sand Casting Using Genetic Algorithm. International Journal of Metalcasting. 11(2), 255-265. DOI: 10.1007/s40962-016-0040-8.
- [3] Sun, Z., Hu, H. & Chen, X. (2008). Numerical optimization of gating system parameters for a magnesium alloy casting with multiple performance characteristics. Journal of Materials Processing Technology. 199(1-3), 256-264. DOI: 10.1016/j.jmatprotec.2007.08.036.
- [4] Hsu, F.-Y., Jolly, M.R., Campbell J. (2009). A multiple-gate runner system for gravity casting. Journal of Materials Processing Technology. 209(17), 5736-5750. DOI: 10.1016/j.jmatprotec.2009.06.003.
- [5] Esparza, C.E., Guerrero-Mata, M.P. & Rios-Mercado, R.Z. (2006). Optimal Design of Gating Systems by Gradient Search Methods. Computational Materials Science. 36(4), 457–467. DOI: 10.1016/j.commatsci.2005.05.009.
- [6] Hsu, F.-Y. & Lin, H.-J. (2009). A Diffusing Runner for Gravity Casting. Metallurgical and Materials Transactions. 40B, 40(6), 833-842. DOI: 10.1007/s11663-009-9272-9.
- [7] Majidi, S.H. Beckermann, C. (2018). Effect of Pouring conditions and Gating System Design on air during Mold Filling. International Journal of Metalcasting. 13(2), 1-18. DOI:10.1007/s40962-018-0272-x.
- [8] Uludaĝ M., Çetin R., Dişpinar D., Tiryakioğlu M. (2018). On the Interpretation of Melt Quality Assessment of A356 Aluminum alloy by the Reduced Pressure Test: The Bifilm Index and Its Physical Meaning. International Journal of Metalcasting. 12(4), 853-860. DOI:10.1007/s40962-018-0217-4.
- [9] Ludwig, T., Di Sabatino, & Dişpinar, D. (2012). Influence of Oxide Additions on the Porosity Development and Mechanical Properties of A356 Aluminum Alloy Castings. International Journal of Metalcasting. 6(2), 41-52.
- [10] Siodmok, B., Jezierski, J., Dorula, J. & Romelczyk, R. (2018). Impact of Sprue Base in Gating System on Quality of Filling – the Compromise Between Theory and Practice. Archives of Foundry Engineering. 18(3), 167-172, DOI:10.24425/123620.
- [11] Uludaĝ M., Uyaner M., Yilmaz F., Dişpinar D., (2015), Mechanical Properties and Melt Quality Relationship of Sr-modified Al-12Si Alloy. Archives of Foundry Engineering. 15(4), 134-140.
- [12] Pavlak, L. (2008). Effect of Filling Conditions on the Quality of Cast Aluminum Cylinder Heads. Metalurgija-Journal of Metallurgy. 14(3), 31-39. UDC:669.751.1.018.491.472=20.
- [13] Kuo, J.-H., Chen, J.-C., Pan, Y.-N. & Hwang, W.-S. (2003). Mold Filling Analysis in Lost Foam Casting Process for Aluminum Alloys and Its Experimental Validation. Materials Transactions. 44(10), 2169-2174.
- [14] Dai, X., Yang, X., Campbell, J. & Wood, J. (2004). Influence of oxide film defects generated in filling on mechanical strength of aluminium alloy castings. Materials Science and Technology. 20(4), 505-513. DOI: 10.1179/ 026708304225012387.
- [15] Tiedje, N.S. & Larsen, P. (2011). Investigation of the Stability of Melt Flow in Gating Systems. Metallurgical and Materials Transactions B. 42(1), 189-201. DOI: 10.1007/ s11663-010-9446-5.
- [16] Lin, C.L. (2004). Use of the Taguchi Method and Grey Relational Analysis to Optimize Turning Operations with Multiple Performance Characteristics. Materials and Manufacturing Processes. 19(2), 209-220. DOI: 10.1081/ AMP-120029852.
- [17] Pawade, R.S., Joshi, S.S. (2011). Multi-objective optimization of surface roughness and cutting forces in high-speed turning of Inconel 718 using Taguchi grey relational analysis (TGRA). International Journal of Advanced Manufacturing Technology. 56(1-4), 47-92. DOI: 10.1007/ s00170-011-3183-z.
- [18] Achuthamenon Sylajakumari, P., Ramakrishnasamy, R. & Palaniappan, G. (2018). Taguchi Grey Relational Analysis for Multi-Response Optimization of Wear in Co-Continuous Composite. Materials. 11(9), 1743. DOI: 10.3390/ ma11091743.
- [19] Pervez, M.N., Shafiq, F., Sarwar, Z., Jilani, M.M. & Cai, Y. (2018). Multi-Response Optimization of Resin Finishing by using a Taguchi-Based Grey Relational Analysis. Materials. 11(3), 426. DOI: 10.3390/ma11030426.
- [20] Kumar, M. & Singh, H. (2016). Multi Response Optimization in wire electrical discharge machining of Inconel X-750 using Taguchi’s technique and grey relational analysis. Cogent Engineering. 3(1), 1-14. DOI: 10.1080/ 23311916.2016.1266123.
- [21] Muthuramalingam, T. & Mohan, B. (2013). Taguchi-grey relational based multi response optimization of electrical process parameters in electrical discharge machining. Indian Journal of Engineering and Materials Sciences. 20(6), 471-475.
- [22] Chalisgaonkar, R. & Kumar, J. (2014). Parametric optimization and modelling of rough cut WEDM operation of pure titanium using grey-fuzzy logic and dimensional analysis. Cogent Engineering. 1(2), 1-28. DOI: 10.1080/ 23311916.2014.979973.
- [23] Kumar, D., Gupta, A.K. & Pal. M. (2015). Optimization of neural network parameters using Grey-Taguchi methodology for manufacturing process applications. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 229(14), 2651-2664. DOI: 10.1177/0954406214560598.
- [24] Tare B., & Shinde V. (2015). Optimization of Mechanical Properties in Thin-Wall Ductile Iron Casting Using Taguchi Method. Indian Foundry Journal. 61(8), 21-29.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d243e508-fa1f-4f52-a6d0-b9b3045c8cb4