Issue |
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
|
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Article Number | 01244 | |
Number of page(s) | 18 | |
DOI | https://doi.org/10.1051/e3sconf/202343001244 | |
Published online | 06 October 2023 |
Investigations into the Mould Variability of Process Parameters in Green Sand Moulds for Mould Characterization in the Casting Process
1 Department of Technology, Shivaji University, Kolhapur. Maharashtra. India. 416004
2 Visvesvaraya Technological University, Department of Mechanical Engineering, KLS Gogte Institute of Technology, Udyambag Industrial Area, Udyambag, Belagavi (Karnataka). India. 590006
* Corresponding author: mahapandit123@gmail.com
In this study, the time-temperature behaviour of selected process parameters is established. The paper describes a new approach to understanding the defect generation phenomena in castings by considering the uniqueness of individual green sand moulds. It also explains the changing values of process parameters by experimental investigation. Foundry is the science of experiments. The aim is to achieve the right quality, quantity, and cost with minimum rejections. The casting quality results from several interconnected, dynamic, and complicated processes that are part of a foundry operation. Quality castings are produced by exercising proper control over several process parameters involved in the casting process. Despite taking several control measures regarding proper casting design, methoding and processing, casting defects are still observed. Defect reduction continues to be the primary goal in sand casting foundries due to the same. This paper investigates the essential parameters of the Green Sand casting process for understanding the influence over the generation of the casting defect in green sand moulding grey cast iron components. This study also adopts the time series method of recording the process parameters and finding the values of process parameter sets for individual moulds. The results showed a systematic predictive behaviour of the selected process parameters. By recording the process parameters under given conditions, it is found that they are time and temperature-dependent. Values can be obtained by building regression equations. It has been found that values of per cent moisture and green compressive strength reduce, whereas permeability and mould hardness increase.
Key words: Green sand moulding / time temperature dependencies / casting defect / process parameters
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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