@ARTICLE{Abdulamer_Dheya_Optimizing_2023,
 author={Abdulamer, Dheya},
 volume={vol. 23},
 number={No 4},
 pages={163-168},
 journal={Archives of Foundry Engineering},
 howpublished={online},
 year={2023},
 publisher={The Katowice Branch of the Polish Academy of Sciences},
 abstract={The main objective of the present study is enhanced of the sand moulding process through addressing the sand mould defects and failures, ultimately lead to improve production of the sand castings with well-defined of pattern profiles. The research aimed to reduce the cost and energy expenditure associated with the compaction time of the sand moulding process. Practical destructive tests were conducted to assess properties of the green sand moulds. Linear regression and multi-regression methods were employed to identify the key factors influencing the sand moulding process. The proposed experimental destructive tests and predicted regression methods facilitated measurement of the green sand properties and enabled evaluation of the effective moulding parameters, thereby enhancing the sand moulding process. Factorial design of experiments approach was employed to evaluate effect of parameters of water content and mixing time of the green sand compaction process on the mechanical properties of green sand mould namely the tensile strength, and compressive strength.},
 type={Article},
 title={Optimizing Sand Moulding Process through Regression Models and Destructive Testing},
 URL={http://www.czasopisma.pan.pl/Content/129930/PDF-MASTER/AFE%204_2023_19-Final.pdf},
 doi={10.24425/afe.2023.148959},
 keywords={Green sand mould, Moulding parameters, design of experiments, Destructive tests, regression methods},
}