2022
DOI: 10.1016/j.seta.2022.102202
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Optimization of operating parameters for diesel engine fuelled with bio-oil derived from cottonseed pyrolysis

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Cited by 8 publications
(13 citation statements)
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“…These models provide an approximation to correlate the factors to the responses. 28,30 Due to the fact that the electronic injector is a complex component involving multi-energy categories and multi-disciplinary fields, there is an interaction between parameters in different fields for the injector. 29 Therefore, this paper adopts the second-order polynomial response surface model, and the form of its approximation to the actual response y is as follows:…”
Section: Response Surface Methodologymentioning
confidence: 99%
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“…These models provide an approximation to correlate the factors to the responses. 28,30 Due to the fact that the electronic injector is a complex component involving multi-energy categories and multi-disciplinary fields, there is an interaction between parameters in different fields for the injector. 29 Therefore, this paper adopts the second-order polynomial response surface model, and the form of its approximation to the actual response y is as follows:…”
Section: Response Surface Methodologymentioning
confidence: 99%
“…In order to perform significance analysis on fuel injection quantity and the related parameters, combining D-optimal design of experiment and partial least squares regression, an RSM model for fuel injection quantity prediction was obtained. 29 In Rajamohan et al, 30 RSM tool was applied in the process of optimizing the operating parameters of the test engine. As far as the predictive capacity of the established approximation model, it is often demonstrated by R-squared ( R 2 ), adjusted R-squared ( R adj 2 ), and root mean square error (RMSE).…”
Section: Introductionmentioning
confidence: 99%
“…CO 2 emission of teak sawdust pyrolysis oil (TSPO) blends and diesel under different speeds. Rajamohan et al, 2022). Figure 8 illustrates the relation between the four engine speeds and the HC emission of the tested fuels.…”
Section: Emission Characteristicsmentioning
confidence: 99%
“…Additionally, the impact of testing conditions does not promote the dissociation of nitrogen molecules into N atoms or facilitate the reaction between oxygen and N atoms to generate NO x emissions. (Rajamohan et al, 2022). Moreover, the emission of NO x is significantly influenced by multiple variables, including the chemical properties of the fuels, the adiabatic flame temperature, the ignition delay time, the injection timing, the combustion chamber geometry (relating to flame propagation velocity), the equivalence ratio, and the pressure (Dueso et al, 2018).…”
Section: Emission Characteristicsmentioning
confidence: 99%
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