Coefficient of friction and specific wear rate prediction model using response surface methodology for waste cooking oil blended lubricant

A. K., Amirruddin and K., Kadirgama and M., Samykano and D., Ramasamy and M. M., Rahman and M. M., Noor (2018) Coefficient of friction and specific wear rate prediction model using response surface methodology for waste cooking oil blended lubricant. In: 7th International Conference on Design and Concurrent Engineering IDECON 7.0 , 17 - 18 September 2018 , Kuching, Sarawak. pp. 1-14..

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Abstract

Response surface methodology with Box–Benhken (BB) design of experiment is utilized to discuss about the development of first and second order model for coefficient of friction (COF) and specific wear rate (SWR) for engine oil treatment added with waste palm oil blended with SAE40. The designs utilize the factors (rotational speeds (200 RPM to 300 RPM), volume concentration and applied loads (2kg to 9kg)) with the response (COF and SWR), evaluated using piston ring-liner contact tribology tester. Other than that, the effect of the factors can be investigated from the equation develop. The contour plot also can be generated to predict the COF and SWR at any experimental zone. The model generated shows that the COF and SWR increases when load, speed and volume concentration are increased. The second-order is more accurate compare with the first order for COF while first order model is more accurate for wear rate. The COF increases with load to cause more wear.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Tribology; COF RSM; Piston
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Centre of Excellence: Automotive Engineering Centre
Centre of Excellence: Automotive Engineering Centre
Faculty of Mechanical Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 17 Dec 2018 02:28
Last Modified: 09 Apr 2019 02:32
URI: http://umpir.ump.edu.my/id/eprint/22676
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