INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025
simulation of the casting process (Gowsalya et al., 2019). Thermal resistance within the casting, at the metal-
mould interface, and within the mould itself significantly impacts the heat transfer process (Shukla et al., 2020).
Different mould materials, such as green sand and mullite, affect heat distribution during solidification (Shukla
et al., 2020). Accurate modelling and simulation of these heat transfer characteristics, considering temperature-
dependent properties of materials, can lead to improved casting quality and process optimization (Shukla et al.,
2020; Sun & Chao, 2009). This research paper aims to investigate the heat transfer coefficient during the casting
of Al 6061 in a green-sand mould and develop a predictive model for the process. The study will involve
experimental analysis, data collection, and numerical modelling to provide a comprehensive understanding of
the heat transfer mechanisms involved.
Green sand casting is a complex process influenced by numerous factors affecting casting quality. Optimization
of process parameters is crucial for efficient and economical production (Banchhor & Ganguly, 2014). The
process involves pouring molten metal into a sand mould, where solidification occurs through nucleation and
grain growth (Kumar et al., 2019). Mould variability plays a significant role in defect generation, with time-
temperature behaviour of process parameters being essential for understanding and predicting defects (Pandit &
Deshpande, 2023). Key parameters such as moisture content, green compressive strength, permeability, and
mould hardness exhibit systematic, time-dependent behaviour. The metal/sand mould interface phenomena
significantly impact the surface quality, microstructure, and mechanical properties of castings (Holtzer et al.,
2015). To improve casting quality and reduce defects, it is necessary to move beyond traditional trial-and-error
methods and employ statistical and artificial intelligence tools for process optimization (Banchhor & Ganguly,
2014). The heat transfer coefficient (HTC) during the casting of Aluminium 6061, particularly in green-sand
moulds, is critical for understanding the solidification process and optimizing casting quality. The study intends
to encompass experimental approaches for modelling Aluminium 6061 Shape Casting in Green-Sand Mould
Experimental Analysis
An experimental investigation was conducted to determine the effective heat transfer coefficient at the metal-
mould interface during the casting of Al 6061 in a green-sand mould. Experimental methods using
thermocouples to measure temperature distributions in casting systems are commonly employed (Sun & Chao,
2007; Sun et al., 2019). Inverse modelling techniques are utilized to calculate HTCs based on measured
temperatures (Meneghini et al., 2007; Sun & Chao, 2007; Sun et al., 2019). HTCs vary depending on mould
materials, with inorganic sand moulds exhibiting higher values (1000-1800 W·m−2·K−1) compared to organic
sand moulds (300-700 W·m−2·K−1) (Sun et al., 2019). The lump capacitance method is proposed as an
alternative approach for calculating HTCs in green sand mould casting (Sun & Chao, 2007). Factors influencing
HTCs include metal head pressure (Meneghini et al., 2007), solidification phase changes, and mould moisture
content (Sun & Chao, 2007). Numerical simulations using calculated HTCs show good agreement with
experimental results, validating these methods for predicting temperature distributions and solidification times
in casting processes (Sun & Chao, 2009; Sun et al., 2019).
Experimental analysis has utilized diverse measurement techniques to evaluate the interfacial heat transfer
coefficient (IHTC) during the solidification of aluminium alloys (Belsare et al., 2017). One widely applied
method is the Inverse Control Volume Technique, which estimates heat flux and temperature at the mould
surface by measuring temperatures at various points within the mould. This approach has been effectively
employed for spherical aluminium alloy (Al 6061) castings, validating IHTC values against experimental data
(Gowsalya et al., 2019). Another study adopted two different inverse methods—control volume and Beck’s
approach—to estimate IHTC during the solidification of rectangular aluminium alloy castings. The findings
demonstrated good agreement with existing literature, highlighting the reliability of these methodologies
(Rajaraman et al., 2018).
Modelling Approaches
Mathematical modelling techniques have significantly advanced the simulation of solidification processes by
incorporating critical parameters. For instance, the convective heat transfer coefficient has been effectively
modelled in vertical twin roll casting processes, alongside factors like roll speed and melt superheat, to achieve
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