Selection of smart fuel opus for diesel engine depending on their fuel characteristics: an intelligent hybrid decision-making approach

Paramasivam, Baranitharan; Kumanan, S.

doi:10.1007/s11356-021-14928-w

Cited by 6 publications

(12 citation statements)

References 45 publications

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“…It is applied to compute the suspicions in the required system. 6 GRA is a mathematical system obtained from the model of the GRA set. Due to its ease and capability to analyze the outputs within the specified period, the GRA approach is generally employed in different engineering fields.…”

Section: Gra Modelmentioning

confidence: 99%

“…The greater value of GRG is the optimal result of the experimental run. 6 The subsequent steps are used to compute the GRA model:…”

Section: Gra Modelmentioning

confidence: 99%

“…declining tendency of CO was detected with the increasing engine load. 6 The CO is an intermediate product during combustion. 17 The CO is the earlier stage of the oxidation progression and late changes into CO 2.…”

Section: Engine Performancementioning

confidence: 99%

“…This statement agreed with previous literature reviews. 6,17,34 The NOx emission was augmenting with augmenting engine load due to elevated cylinder temperature (Zeldovich mechanism). 29 Compared to F0 (857 ppm), the F2080 fuel blend emits (860 ppm) a marginal increase in NOx rate.…”

Section: Engine Emissionmentioning

confidence: 99%

“…For computing the GRC, generally the distinctive coefficient (δÞvalue is 0.5. 6 In the GRA, the experimental trial having GRG close the value 1 is T A B L E 7 Gray relational analysis output results. The CR of 17.5 at 100% load delivers a better result.…”

Section: Gra Model Evaluationmentioning

confidence: 99%

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A COmplex PRoportional ASsessment and Gray Relational Analysis methodology hybrid optimization of compression ignition engine distinctiveness fuelled by dual feed stock pyrolysis of Annona squamosa seed particles and Aegle marmelos pressed seed cake pyrolytic liquid‐diesel opus

Raju¹,

Paramasivam

2023

Env Prog and Sustain Energy

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The deficiency of fossil fuel resources, amplifying fuel price and its related environmental anxieties grasped great attention for finding an alternative fuel. Such alternative options can be fuels obtained from agricultural residues, plants, and wastes. The present research emphases on complex proportional assessment (COPRAS) and gray relational analysis (GRA) modeling of a diesel engine fuelled by Annona squamosa (AS) and Aegle marmelos (AM) co‐pyrolysis oil/diesel binary opus as an engine fuel to optimize the engine characteristics. Co‐pyrolysis oil is obtained from AS+AM feedstock at pyrolysis temperature of 500°C. To obtain engine data for training and testing the proposed COPRAS and GRA models were adopted for the engine control factors such as engine load (W) and compression ratio (CR) in a test engine rig through experimentation and hybrid optimization technics. From the engine output responses reveals that F2080 opus delivers an augmented brake thermal efficiency (22.01%) than diesel (21.56%) at peak load. Subsequently, F2080 fuel emits substantial lessening of CO (11.88%) and HC (5.64%) emissions as compared to diesel (F0). Based on the results, it is conclude that F2080 blend at CR of 17.5 and 100% load was delivered the greater engine distinctiveness through optimization outcomes and experimental evaluation compared to F0.

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Section: Gra Modelmentioning

confidence: 99%

“…The greater value of GRG is the optimal result of the experimental run. 6 The subsequent steps are used to compute the GRA model:…”

Section: Gra Modelmentioning

confidence: 99%