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<p class="TitleMain">Optimization of <em>Chlorella vulgaris</em> Biodiesel usage in Diesel Engine</p>

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Title Statement <p class="TitleMain">Optimization of <em>Chlorella vulgaris</em> Biodiesel usage in Diesel Engine</p>
 
Added Entry - Uncontrolled Name Sathish, T ; Department of Mechanical Engineering, Saveetha School of Engineering, SIMATS, Chennai 602 105, India
 
Uncontrolled Index Term Algae oil; Taguchi; Grey relational analysis; RSM
 
Summary, etc. <p class="Abstract" style="text-align: justify;">The experimental investigation has been carried out on the diesel engine using <em>Chlorella vulgaris</em> algal biodiesel as blends with neat diesel. Two input parameters, such as load and fuel and four reaction parameters such as hydrocarbons (HC), carbon monoxide (CO), nitrogen oxides (NOx), and smoke, were used for the emissions on the engine. The experimental results show that there's been less pollution from using algae oil blend in the diesel engine. It is employed to find the optimum level for multi-objective prediction carried out for CO, HC, NOx, and smoke. The outcomes after grey relational analysis (GRA) were tested using the response surface methodology (RSM), wherein the optimal combination has been found out using a particular behaviour.</p>
 
Publication, Distribution, Etc. Journal of Scientific and Industrial Research (JSIR)
2020-11-09 16:51:55
 
Electronic Location and Access http://op.niscair.res.in/index.php/JSIR/article/view/41493
 
Data Source Entry Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 79, ##issue.no## 8 (20)
 
Language Note en