A prediction of graphene nanoplatelets addition effects on diesel engine emissions
There are numerous methods for reducing diesel exhaust emissions. Engine modifications, combustion optimization, and exhaust gas treatment are all popular methods. Another proven method uses fuel additives, such as zinc oxide, copper oxide, and magnesium oxide. Those additives are proven to reduce m...
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| Format: | Article |
| Language: | English |
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Universiti Malaysia Pahang
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/39643/1/A%20prediction%20of%20graphene%20nanoplatelets%20addition%20effects%20on%20diesel%20engine%20emissions.pdf |
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| author | Wan Muhammad Noor Sarbani, Mat Daud Mohd Adnin, Hamidi Rizalman, Mamat Daing Mohamad Nafiz, Daing Idris |
| author_facet | Wan Muhammad Noor Sarbani, Mat Daud Mohd Adnin, Hamidi Rizalman, Mamat Daing Mohamad Nafiz, Daing Idris |
| author_sort | Wan Muhammad Noor Sarbani, Mat Daud |
| collection | UMP |
| description | There are numerous methods for reducing diesel exhaust emissions. Engine modifications, combustion optimization, and exhaust gas treatment are all popular methods. Another proven method uses fuel additives, such as zinc oxide, copper oxide, and magnesium oxide. Those additives are proven to reduce measured emissions such as carbon monoxide and nitrogen oxide successfully; however, there are still concerns about the toxicity of the emissions, which could harm human health. As a result, carbon nanoparticles have been introduced as a fuel additive due to their low risk to human health. Because of advancements in graphene research, a few researchers began investigating the implications of using graphene nanoplatelets as a fuel additive. The study’s findings appeared to be encouraging. However, no additional research has been identified to forecast the impact on engine emissions other than analyzing the effects of graphene additives on engine emissions. The goal of this study is to forecast the effects of graphene nanoplatelets on diesel engine emissions. The emission parameters of the trial were carbon monoxide, carbon dioxide and nitrogen oxide. The factors considered in the experiment are speed, load, and blend concentration. Response surface methodology and contour plots were generated using Minitab software. The results show that the prediction model’s accuracy is within 10% of the experimental data. |
| first_indexed | 2024-03-06T13:11:58Z |
| format | Article |
| id | UMPir39643 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T13:11:58Z |
| publishDate | 2023 |
| publisher | Universiti Malaysia Pahang |
| record_format | dspace |
| spelling | UMPir396432023-12-13T07:49:35Z http://umpir.ump.edu.my/id/eprint/39643/ A prediction of graphene nanoplatelets addition effects on diesel engine emissions Wan Muhammad Noor Sarbani, Mat Daud Mohd Adnin, Hamidi Rizalman, Mamat Daing Mohamad Nafiz, Daing Idris TJ Mechanical engineering and machinery There are numerous methods for reducing diesel exhaust emissions. Engine modifications, combustion optimization, and exhaust gas treatment are all popular methods. Another proven method uses fuel additives, such as zinc oxide, copper oxide, and magnesium oxide. Those additives are proven to reduce measured emissions such as carbon monoxide and nitrogen oxide successfully; however, there are still concerns about the toxicity of the emissions, which could harm human health. As a result, carbon nanoparticles have been introduced as a fuel additive due to their low risk to human health. Because of advancements in graphene research, a few researchers began investigating the implications of using graphene nanoplatelets as a fuel additive. The study’s findings appeared to be encouraging. However, no additional research has been identified to forecast the impact on engine emissions other than analyzing the effects of graphene additives on engine emissions. The goal of this study is to forecast the effects of graphene nanoplatelets on diesel engine emissions. The emission parameters of the trial were carbon monoxide, carbon dioxide and nitrogen oxide. The factors considered in the experiment are speed, load, and blend concentration. Response surface methodology and contour plots were generated using Minitab software. The results show that the prediction model’s accuracy is within 10% of the experimental data. Universiti Malaysia Pahang 2023-10 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/39643/1/A%20prediction%20of%20graphene%20nanoplatelets%20addition%20effects%20on%20diesel%20engine%20emissions.pdf Wan Muhammad Noor Sarbani, Mat Daud and Mohd Adnin, Hamidi and Rizalman, Mamat and Daing Mohamad Nafiz, Daing Idris (2023) A prediction of graphene nanoplatelets addition effects on diesel engine emissions. International Journal of Automotive and Mechanical Engineering (IJAME), 20 (3). pp. 10758-10766. ISSN 2229-8649 (Print); 2180-1606 (Online). (Published) https://doi.org/10.15282/ijame.20.3.2023.17.0831 https://doi.org/10.15282/ijame.20.3.2023.17.0831 |
| spellingShingle | TJ Mechanical engineering and machinery Wan Muhammad Noor Sarbani, Mat Daud Mohd Adnin, Hamidi Rizalman, Mamat Daing Mohamad Nafiz, Daing Idris A prediction of graphene nanoplatelets addition effects on diesel engine emissions |
| title | A prediction of graphene nanoplatelets addition effects on diesel engine emissions |
| title_full | A prediction of graphene nanoplatelets addition effects on diesel engine emissions |
| title_fullStr | A prediction of graphene nanoplatelets addition effects on diesel engine emissions |
| title_full_unstemmed | A prediction of graphene nanoplatelets addition effects on diesel engine emissions |
| title_short | A prediction of graphene nanoplatelets addition effects on diesel engine emissions |
| title_sort | prediction of graphene nanoplatelets addition effects on diesel engine emissions |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/39643/1/A%20prediction%20of%20graphene%20nanoplatelets%20addition%20effects%20on%20diesel%20engine%20emissions.pdf |
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