Abstract
The aim of present research work is to maximize the casting production of spheroidal graphite (SG) Iron. However, rejection rate of casted parts is high in sand-casting process. There are many causes of rejection, but hardness variation of casted parts is major concern. Therefore, optimum control parameters are required to reduce the rejection rate of casted parts. Keeping this in view, experiments have been conducted using L8 orthogonal array for sand casting of SG iron. Later, significant control factor have been determined using Taguchi method. Copper found as a significant factor on hardness of casted parts.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Pandey NL (2015) Sand Casting-A Basic Review. Int J Innov Res Technol 7:477–483
Kenawy MA, Abdel-Fattah AM, Okasha N, EL-Gazery M (2001) Mechanical and Structural Properties of Ductile Cast Iron, Egypt. Egypt J Basic Appl Sci 7:151–159
Saini SK, Pradhan SK (2014) Soft Computing Techniques for the Optimization of Machining Parameter in CNC Turning Operation. Int J Emerg Technol Adv Eng 4:117–124
Saini SK, Pradhan SK (2014) Optimization of multi-objective response during CNC turning using taguchi-fuzzy application. Procedia Eng 97:141–149
Landage M (2017) G, Sand moulded castings Defects, Causes, Remedies–Review Paper. Int J Theor Appl Res Mechanical Engineering 6:2319–3182
Patil R, Metri VS, Tambore SS (2015) Causes of Casting Defects with Remedies. Int J Eng Res & Technol 4(2015):639–644
Hiremath SS, Dulange SR (2015) Advanced Techniques in Castings and Rejection Analysis: A Study in an Industry. Int J Innov Eng Res Technol 9:1–9
Pradhan SK, Saini SK (2014) Multi-objective optimization of CNC turning machining parameters. J Adv Mater Res 1016:172–176
Saini SK, Pradhan SK (2014) Optimization of machining parameters for CNC turning of different materials. J Appl Mech Mater 592–594:605–609
Achamyeleh A, Assfaw SB (2013) Minimization of Casting Defects. IOSR J Eng 3:2013
Soinski MS, Derda A (2008) The influence of selected elements upon mechanical properties of ductile iron EN-GJS-500-7. Arch Foundry Eng 8:149–152
Lekakh SN, Richards VL (2008) Diffusion modeling and experimental verification of pearlite/ferrite formation in ductile iron. American Foundry Society, Schaumburg, IL, USA, pp 2–8
Gonzaga RA, Martinez Landa P, Perez A, Villanueva P (2009) Mechanical properties dependency of the pearlite content of ductile irons. J Achiev Mater Manuf Eng 12:123–129
Sama SR, Manogharan G (2020) Case studies on integrating 3d sand-printing technology into the production portfolio of a sand-casting foundry. Int J Metalcast 14:12–24
Kuo JK, Huang PH, Lai HY, Wu WJ (2019) Design of casting systems for stainless steel exhaust manifold based on defective prediction model and experimental verification. Int J Adv Manuf Technol 100:529–540
Prabhakar A, Papanikolaou M, Salonitis K, Jolly M (2020) Sand casting of sheet lead: numerical simulation of metal flow and solidification. Int J Adv Manuf Technol 106:177–189
Acknowledgements
Authors are indebted to Shri T. C. Vishwakarma, Managing Director of Hariom Precision Alloys (P) Ltd., and their staffs for extending experimental facilities. Thanks to Poornima College of Engineering Jaipur, Rajasthan, for their valuable support.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mukhija, A., Saini, S.K. (2021). Optimization for Sand Casting of SG Iron. In: Kumar, R., Dohare, R.K., Dubey, H., Singh, V.P. (eds) Applications of Advanced Computing in Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-4862-2_25
Download citation
DOI: https://doi.org/10.1007/978-981-33-4862-2_25
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-33-4861-5
Online ISBN: 978-981-33-4862-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)