A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Prakasham, G.
- Development of Factorial Model for Green Compression Strength of Moulding Sand
Authors
1 Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, IN
Source
Manufacturing Technology Today, Vol 18, No 11 (2019), Pagination: 26-30Abstract
Sand casting process is one of the most versatile process in manufacturing process where molten metal is poured into the expendable sand mould cavity to get complex shapes. In this process green compression strength is considered to be one of the important mechanical property for mould preparation in sand casting. These moulding sand properties play a vital role in determining the optimum moisture content for making green sand casting mould.
To optimize green compression strength the process variables like clay, moisture and sand composition are varied by selecting design of experiments (DOE) technique to find out effect of input parameters on green compression strength.
The present work aims to determination of green compression strength by varying silica sand, clay and water. Using factorial method number of experiments to be conducted is determined and design matrix is created. Using design matrix regression coefficients are calculated and student’s t-test is carried out to check significance of each regression coefficient. Contribution of each factor on output is determined by analysis of variance (ANOVA).
Keywords
Green Compression Strength, ANOVA, DOE, Sand Casting.References
- Alder, YP, et al.: The Design of Experiments to find Optimal Conditions, MIR publications, Moscow, 1975.
- Montgomery, DC: Design and Analysis of Experiments, John Willey and Sons, New York, 1991.
- Rao, PN: Manufacturing Technology, McGraw Hill Education, vol. 1, 2013.
- Khalasi, Hiren; Patel, Milan; Parekh, Deep; Shethiya, Naimesh: Optimization of Process Parameters of Green Sand Casting in Small Scale Foundry, IJRASET, vol. 4, May 2016.
- Khare, Manu; Optimization of sand casting parameters using factorial design, 'International Journal Of Scientific Research', vol. 3, no. 1, January 2014.
- Gajanana, S: Optimization of Process Parameters for Hero Honda Exhaust Valve using Design of Experiments, 'Proceeding of National Conference on Recent Advances in Computer Aided Engineering', Osmania University, Hyderabad, March 3rd & 4th , 2006.
- Gajanana S: Development Of Mathematical Model For EDM Using Two Factorial Design of Experiments, XXIII National Convention Of Mechanical Engineers And National Seminar On ‘Emerging Trends In Manufacturing Systems And Technologies’, Hyderabad, September 10-12, 2007