Orthogonal Array Application and Response Surface Method Approach for Optimal Product Values: An Application for Oil Blending Process
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
Orthogonal Array Application and Response Surface Method Approach for Optimal Product Values: An Application for Oil Blending Process

Authors: Christopher C. Ihueze, Constance C. Obiuto, Christian E. Okafor, Charles C. Okpala

Abstract:

This paper presents a methodical approach for designing and optimizing process parameters in oil blending industries. Twenty seven replicated experiments were conducted for production of A-Z crown super oil (SAE20W/50) employing L9 orthogonal array to establish process response parameters. Power law model was fitted to experimental data and the obtained model was optimized applying the central composite design (CCD) of response surface methodology (RSM). Quadratic model was found to be significant for production of A-Z crown supper oil. The study recognized and specified four new lubricant formulations that conform to ISO oil standard in the course of analyzing the batch productions of A-Z crown supper oil as: L1: KV = 21.8293Cst, BS200 = 9430.00Litres, Ad102=11024.00Litres, PVI = 2520 Litres, L2: KV = 22.513Cst, BS200 = 12430.00 Litres, Ad102 = 11024.00 Litres, PVI = 2520 Litres, L3: KV = 22.1671Cst, BS200 = 9430.00 Litres, Ad102 = 10481.00 Litres, PVI= 2520 Litres, L4: KV = 22.8605Cst, BS200 = 12430.00 Litres, Ad102 = 10481.00 Litres, PVI = 2520 Litres. The analysis of variance showed that quadratic model is significant for kinematic viscosity production while the R-sq value statistic of 0.99936 showed that the variation of kinematic viscosity is due to its relationship with the control factors. This study therefore resulted to appropriate blending proportions of lubricants base oil and additives and recommends the optimal kinematic viscosity of A-Z crown super oil (SAE20W/50) to be 22.86Cst.

Keywords: Additives, control factors, kinematic viscosity, lubricant, orthogonal array, process parameter.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1073060

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1899

References:


[1] Ihueze, C.C., Obiuto, C.C., and Okpala, C.C. (2012), "Quality improvement of process product value through robust design of control parameters" Research journal in Engineering and Applied sciences (1), 2012, 70-76.
[2] Montgomery, D.C. (2009). Design and Analysis of Experiments; 7th edition. Hoboken, NJ: Wiley.
[3] Box GEP, Wilson KB (1951). "On the Experimental attainment of Optimum Conditions" Journal of the Royal Statistical Society B, 13th Edition, 1-45
[4] Hill WJ, Hunter WG (1989). "A Review of Response Surface Methodology: A literature Review." Technometrics, Vol 8, 571-590
[5] Mead R, and Pike D J (1975) "A Review of Response Surface Methodology from a Biometric View Point" Biometrics Vol 31, No 4, 803-851
[6] Myers R H, Khuri A I, and Carter W H (1989) "Response Surface Methodology: 1966-1988, Technometrics, Vol 31 (2), 137- 157
[7] Myers R H, Montgometry, D C, Anderson-Cook C M, (2009) "Response Surface Methodology: Process and product Optimization using Designed Experiments. John Wiley and Sons
[8] Taguchi G., Elsayed A.E., Hsiang T.C., (1989) "Quality Engineering in Production Systems," McGraw-Hill book Company, New York.
[9] Taguchi G., Chowdhury S., Wu Y. (2004), "Taguchi-s Quality Engineering handbook," Edition 2004, pp. 21.
[10] Fraley, S., (2011), Design of Experiments via Taguchi Methods: Orthogonal arrays (Online) http://www.scribd.com/doc/ 36563150/Design-of-Experiments-via-Taguchi-Methods-Using- Orthogonal-Arrays (Accessed 18th may 2011)
[11] Obiuto C.C, (2012) M.Eng Thesis, Submitted to the Industrial and Production Engineering Department of Nnamdi Azikiwe University, Awka .
[12] Dieter G. E (2000). A materials and processing approach engineering design 3rd Edition. Singapore Mc Graw- Hill informational
[13] Chapra, S.C and Canale, R.P, (1998). Numerical Methods for Engineers, with Programming and Software application, 3rd edition. New York. WCB/ Mc Graw - Hill.