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通过改进的田口方法,在生物柴油混合物中使用添加剂以改善柴油发动机性能并减少排放。

Utilization of additives in biodiesel blends for improving the diesel engine performance and minimizing emissions through a modified Taguchi approach.

作者信息

Rao B Nageswar, Banapurmath N R, Atgur Vinay, Sanjeevannavar Mallesh B, Sajjan A M, Vadlamudi Chandramouli, Krishnappa Sanjay, Khan T M Yunus, Ayachit N H

机构信息

Department of Mechanical Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, Guntur, 522502, Andhra Pradesh, India.

Department of Mechanical Engineering, KLE Technological University, Hubballi, 580031, Karnataka, India.

出版信息

Heliyon. 2023 Jun 2;9(6):e16950. doi: 10.1016/j.heliyon.2023.e16950. eCollection 2023 Jun.

Abstract

Biodiesel from Jatropha oil is produced through catalyzed homogeneous transesterification. Hydrogen peroxide (HO) is considered as additive. Blends of Jatropha considered in the present study are 60% diesel, (40-A)% biodiesel and A% additive, varying A from 0 to 10. Identifying optimal input variables (such as additive volume percentage, injection pressure, and load) is important for improving the engine performance and reducing emissions. Air-fuel ratio; brake specific fuel consumption (BSFC); and brake thermal efficiency (BTE) are the engine performance characteristics. Carbon monoxide (CO); carbon dioxide (CO); exhaust gas temperature (EGT); nitrogen oxide (NO); and smoke opacity are the emission characteristics. 27 experiments need to be performed for the assigned 3 levels and 3 input variables. The Taguchi's L orthogonal array (OA) is chosen to perform only 9 experiments to obtain the optimal solution. The expected range of performance characteristics and emissions was obtained following a modified Taguchi approach. Empirical relationships are developed and verified through engine performance and emission characteristics.

摘要

麻疯树油生物柴油是通过催化均相酯交换反应生产的。过氧化氢(HO)被视为添加剂。本研究中考虑的麻疯树混合燃料为60%柴油、(40 - A)%生物柴油和A%添加剂,A的取值范围为0至10。确定最佳输入变量(如添加剂体积百分比、喷射压力和负载)对于提高发动机性能和减少排放至关重要。空燃比、制动比油耗(BSFC)和制动热效率(BTE)是发动机性能特性。一氧化碳(CO)、二氧化碳(CO)、排气温度(EGT)、氮氧化物(NO)和烟度是排放特性。对于指定的3个水平和3个输入变量,需要进行27次实验。选择田口的L正交阵列(OA)仅进行9次实验以获得最优解。遵循改进的田口方法获得了性能特性和排放的预期范围。通过发动机性能和排放特性建立并验证了经验关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64fb/10279833/2810e8be9501/gr1.jpg

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