Optimization of Performance and Emission Characteristics of the CI Engine Fueled with Preheated Palm Oil in Blends with Diesel Fuel

Iqbal Shajahan Mohamed, Elumalai Perumal Venkatesan (), Murugesan Parthasarathy, Sreenivasa Reddy Medapati, Mohamed Abbas, Erdem Cuce () and Saboor Shaik
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Iqbal Shajahan Mohamed: Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi 600062, India
Elumalai Perumal Venkatesan: Department of Mechanical Engineering, Aditya Engineering College, Surampalem 533437, India
Murugesan Parthasarathy: Department of Automobile Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi 600062, India
Sreenivasa Reddy Medapati: Department of Mechanical Engineering, Aditya Engineering College, Surampalem 533437, India
Mohamed Abbas: Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
Erdem Cuce: Department of Mechanical Engineering, Faculty of Engineering and Architecture, Recep Tayyip Erdogan University, Zihni Derin Campus, Rize 53100, Turkey
Saboor Shaik: Vellore Institute of Technology, School of Mechanical Engineering, Vellore 632014, India

Sustainability, 2022, vol. 14, issue 23, 1-21

Abstract: In this analytical investigation, preheated palm oil was used in the direct injection diesel engine with various optimization methods. The main purpose of the optimization was to get better results than the conventional engine. Raw palm oil was heated using the heat exchange process to reduce the density and viscosity. The relationship between the output process and factors response was evaluated in the design of experiment methods. The Taguchi method is an important method for optimization of the output response performance and emission characteristics of a diesel engine. Two important factors—output and input—were calculated. The input factors considered were preheated palm biodiesel blend, torque, injection pressure, compression ratio, and injection timing. The output factors calculated were smoke opacity, carbon monoxide emission, and brake-specific fuel consumption by using the signal-to-noise (S/N) ratio and analysis of variance. Carbon monoxide was most impacted by torque conditions through injection timing and injecting pressure, and opacity of smoke emission. Among them, injection timing had a higher impact. Different biodiesel blends were prepared: B10 (90% diesel + 10% oil), B20 (80% diesel + 20% oil), B30 (70% diesel + 30% oil) and B40 (60% diesel + 40% oil). Silver nanoparticles (50 ppm) were constantly mixed with the various biodiesel blends. The smoke opacity emission for the biodiesel blend B30 + 50 ppm silver nanoparticle showed the lowest S/N ratio and achieved better optimum results compared with the other blends. The blend B30 + 50 ppm silver nanoparticle showed the lowest S/N ratio value of 9.7 compared with the other blends. The smoke opacity, carbon monoxide emission, and brake-specific fuel consumption of all the response optimal factors were found to be 46.77 ppm, 0.32%, and 0.288 kg/kW·h, respectively.

Keywords: diesel engine; internal combustion engine; performance; diesel; energy; Taguchi method; compression ratio; ignition timing; injection pressure (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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