Analytical Evaluation of Heat Flow Pattern in Biodiesel Operated Engine Cylinder
Notice bibliographique
Résumé
There has been a global search for alternative fuels that are environmentally friendly to replace and or compliment the conventional fossil fuels used in running engines. This is in line with the global action to reduce CO2 emissions hence ameliorating the effect of climate change. Biodiesel fuels have been adjudged to be clean energy with minimal environmental pollution during combustion. Hence, biodiesel fuels for running compression ignition engines have been developed from various feedstocks such as vegetable oils, animal fat, and waste or used cooking oils. The properties of these biodiesels have been reported to be dependent on the feedstock type and therefore vary according to the source feedstock. In carrying out this present study on the effects of utilising biodiesel fuel on the compression ignition engine, a numerical study of temperature distribution in the cylinder liner of biodiesel-powered compression ignition engine is presented. Biodiesel produced from palm kernel oil is used. Eight nodes in the cylinder liner spanning the top section of the liner, midpoint and the interface between the liner and the block were used as data source as it is established that sharp-edged points are most likely regions for thermal stress. Of the eight nodes selected, four were edge nodes and the other four were nodes at the interface with varying conditions. Model equations used for the study were developed and subsequently transformed using the finite difference method. Numerical solutions were obtained from computer codes written in MATLAB programming language. The obtained results from this code were compared to results obtained from commercial software (ANSYS FLUENT) for same geometry and boundary conditions. Results on the cylinder liner showed steady state temperatures were reached in about five minutes using both the MATLAB code and ANSYS FLUENT and both results showed a similar trend of temperature distribution in the radial direction. However, the MATLAB code showed higher temperatures at the upper section of the liner material as compared to the midpoint of the liner whereas ANSYS FLUENT showed the midpoint section to possess maximum temperatures as compared to the cylinder head section. Both results agree with the lower section having least temperature distribution. Further analyses were carried out on the midpoint of the cylinder and the cylinder head section and factors responsible for the discrepancies discussed. The outcome of this study presents palm kernel based biodiesel as an alternative fuel in cylinder engines while highlighting sections of the engine that require design attention in terms of heat flux and engine stability.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».