Optimization of the main parameters of the diesel engine during its operation on the multicomponent biofuel composition

Abstract

BACKGROUND: When conducting experimental studies aimed at finding optimal parameters of the diesel engine operating mode, as well as other objects, the issue of reducing the volume of the experiment becomes acute. The use of modern methods of planning, obtaining, processing and analyzing experimental data allows to reduce significantly the number of experiments conducted without notable loss of the reliability of the data obtained.

AIMS: The aim of this study is to determine the optimal operating characteristics of the diesel engine, which uses the multi-component bio-fuel composition.

METHODS: In order to determine the optimal values of the main parameters, affecting the effective indicators of the 4ChN 11.0/12.5 diesel engine when operating on the multicomponent biofuel composition and a mathematical description of their relationship, a second-order three-factor Box – Benken plan was implemented. These factors are effective load, crankshaft rotational speed, and fuel injection advance angle. The diesel engine operation studies were performed on the most stable mixture of the multicomponent biofuel composition, including the following ingredients, wt %: rapeseed oil – 34.5; ethanol – 31.0; diesel fuel – 34.5. The search of a compromise solution for the optimal combination of the levels of studied factors was performed with the method of superimposing of bidimensional sections of the response surfaces of the effective efficiency factor and the specific effective fuel consumption.

RESULTS: Adequate models of second-order regression analysis of changes in effective efficiency factor and specific effective fuel consumption have been obtained. The factor space is described and grapho-analytical studies are carried out. The analysis of regression models and bidimensional sections of response surfaces allowed to determine the optimal values of the studied factors. The method for determining the optimal load and speed ranges of the diesel engine operation, using the multicomponent biofuel composition, has been optimized due to the application of the experimental plan and the description of the factor space by mathematical models, while number of experiments was reduced.

CONCLUSIONS: The optimal area of the combination of the factors is in the range of varying the rotational speed of the diesel engine crankshaft n=1400...1550 rpm and the effective load P_e=0.68...0.85 MPa at the fuel injection advance angle Ѳ_inj=23.5 degrees to TDC. Considering the variable nature of the load and speed modes of a diesel engine in a real operation environment, the obtained data are of practical interest.

Keywords

diesel fuel / ethanol / rapeseed oil / fuel composition / bench tests / effective indicators / experiment planning

References

[1] Plotnikov SA. Uluchshenie ekspluatatsionnykh pokazatelei dizelei putem sozdaniya novykh al’ternativnykh topliv i sovershenstvovaniya toplivopodayushchei apparatury. [dissertation]. Nizhnii Novgorod: 2011. Rezhim dostupa: http://www.dslib.net/teplo-dvigateli/uluchshenie-jekspluatacionnyh-pokazatelej-dizelej-putem-sozdanija-novyh.html (In Russ).

[2] Плотников С.А. Улучшение эксплуатационных показателей дизелей путем создания новых альтернативных топлив и совершенствования топливоподающей аппаратуры: автореф. … дисс. докт. техн. наук. Н-Новгород, 2011. 39 с.

[3] Plotnikov SA, Smol’nikov MV, Cheremisinov PA. The extension of multi-fuel capacity of automotive diesel engine using alternative fuels. Izvestiya MGTU «MAMI». 2019;(3):66–72. (In Russ).

[4] Плотников С.А., Смольников М.В., Черемисинов П.А. Расширение многотопливности автотракторного дизеля при использовании альтернативных топлив // Известия МГТУ «МАМИ». 2019. № 3(41). С. 66–72.

[5] L’otko V, Lukanin VN, Khachiyan AS. Primenenie al’ternativnykh topliv v dvigatelyakh vnutrennego sgoraniya. Moscow: Izd-vo MADI (TU); 2000. (In Russ).

[6] В. Льотко, В.Н. Луканин, А.С. Хачиян. Применение альтернативных топлив в двигателях внутреннего сгорания. М.: Изд-во МАДИ (ТУ), 2000. 311 с.

[7] Plotnikov SA, Kartashevich AN, Cheremisinov PN. Uluchshenie smesei dizel‘nogo topliva s rapsovym maslom dlya ispol‘zovaniya v traktornykh dizelyakh. Dvigatelestroenie. 2017;(4):21–24. (In Russ).

[8] Плотников С.А., Карташевич А.Н., Черемисинов П.Н. Улучшение смесей дизельного топлива с рапсовым маслом для использования в тракторных дизелях // Двигателестроение. 2017. № 4. С. 21–24.

[9] Markov VA, Devyanin SN, Zykov SA, Gaidar SM. Biotopliva dlya dvigatelei vnutrennego sgoraniya. Moscow: NITs «Inzhener»; 2016. (In Russ).

[10] Марков В.А., Девянин С.Н., Зыков С.А., Гайдар С.М. Биотоплива для двигателей внутреннего сгорания. М.: НИЦ «Инженер», 2016. 292 с.

[11] Terent’ev GA, Tyukov VM, Smal’ FV. Motornye topliva iz al’ternativnykh syr’evykh resursov. Moscow: Khimiya, 1989. (In Russ).

[12] Терентьев Г.А., Тюков В.М., Смаль Ф.В. Моторные топлива из альтернативных сырьевых ресурсов. М.: Химия, 1989. 272 с.

[13] Patent RUS № 2020123967/ 29.07.2020. Plotnikov SA, Glushkov MN, Kartashevich AN, Shaporev VA. Mnogokomponentnaya biotoplivnaya kompozitsiya. Available from: https://elibrary.ru/item.asp?id=46477534 (In Russ).

[14] Плотников С.А., Глушков М.Н., Карташевич А.Н., Шапорев В.А. Многокомпонентная биотопливная композиция: заявка на выдачу патента РФ № 2020123967(W20041379) от 20.07.2020.

[15] Patent RUS № 2020120544/ 22.06.2020. Plotnikov SA, Shipin AI, Kartashevich AN, Malyshkin PYu. Sposob polucheniya mnogokomponentnoi biotoplivnoi kompozitsii. Available from: https://elibrary.ru/item.asp?id=44759434 (In Russ).

[16] Плотников С.А., Шипин А.И., Карташевич А.Н., Малышкин П.Ю. Способ получения многокомпонентной биотопливной композиции: заявка на выдачу патента РФ № 2020120544(W20035021) от 22.06.2020.

[17] Plotnikov SA, Kartashevich AN, Simonov MV, Glushkov MN. Determining of optimum operation modes of a diesel engine with a multicomponent biofuel composition. IOP Conference Series: Materials Science and Engineering. 2021;1086(1). doi: 10.1088/1757-899x/1086/1/012014

[18] Plotnikov S.A., Kartashevich A.N., Simonov M.V., Glushkov M.N. Determining of optimum operation modes of a diesel engine with a multicomponent biofuel composition // IOP Conference Series: Materials Science and Engineering : 5th International Scientific and Practical Seminar Mobility of Transport and Technological Vehicles (MTTV 2020). Nizhny Novgorod, 2021. Vol. 1086, 2021.

[19] Koshevoi ND, Burleev OL, Kostenko EM. Optimal‘noe planirovanie eksperimenta s vvedeniem ogranicheniya po dopolnitel‘nomu kriteriyu. Vestnik SumDU. 2010;2:63-67. (In Russ).

[20] Кошевой Н.Д., Бурлеев О.Л., Костенко Е.М. Оптимальное планирование эксперимента с введением ограничения по дополнительному критерию // Вестник СумДУ, серия «Технические науки». 2010. Том 2. С. 63–67.

[21] Denisenko VV. Modelirovanie razbrosa parametrov tranzistorov v KMOP SBIS. Komponenty i tekhnologii. 2004;(1):28–34.

[22] Денисенко В.В. Моделирование разброса параметров транзисторов в КМОП СБИС // Компоненты и технологии. 2004. № 1. С. 28–34.

[23] Al Qadi ANS, Alhasanat MBA, Dahamsheh AAL, Zaiydneen SAL. Using of Box-Benken Method to Predict the Compressive Strength of Self-Compacting Concrete Containing Wadi Musa Bentonite, Jordan. American Journal of Engineering and Applied Sciences. 2016;9(2):406-411. doi: 10.3844/ajeassp.2016.406.411

[24] Arabi N.S., Qadi A.L., Mahmoud B.A. Alhasanat, Ahmad A.L. Dahamsheh, Sleiman A.L. Using of Box-Benken Method to Predict the Compressive Strength of Self-Compacting Concrete Containing Wadi Musa Bentonite // Jordan. American Journal of Engineering and Applied Sciences. 2016. Vol. 9. Iss. 2. P. 406–411. doi: 10.3844/ajeassp.2016.406.411

[25] Avramović JM, Radosavljević DB, Veličković AV, et al. Statistical modeling and optimization of ultrasound-assisted biodiesel production using various experimental designs. Zastita Materijala. 2019;60(1):70-80. doi:10.5937/zasmat1901070A

[26] Jelena M. Avramović, Dragana B. Radosavljević, Ana V. Veličković, Ivan J. Stojković. Statistical modeling and optimization of ultrasound-assisted biodiesel production using various experimental designs // Zastita Materijala. 2019. Vol. 60. Br. 1. P. 70–80. doi: 10.5937/zasmat1901070A

[27] Leuca T, Novac M, Stanciu B, et al. Using Minitab-Box Benken Software to Optimize the Induction Heating Process. Journal of Electrical and Electronics Engineering. 2014;7(1):73–76.

[28] Leuca Тeodor, Novac Mihaela, Stanciu Bogdan, Burca Adrian, Codrean Marius //. Using Minitab-Box Benken Software to Optimize the Induction Heating Process // Journal of Electrical and Electronics Engineering. 2014. Vol. 7. N.1. P. 73–76.

[29] Jovanovic J, Stefanovic A, Sekuljica N, Knezevic-Jugovic Z. Production of wheat gluten hydrolysates with improved functional properties: optimization of operating parameters by statistical design // Journal of Hygienic Engineering and Design. 2018;24:90–100.

[30] Jelena Jovanovic, Andrea Stefanovic, Natasa Sekuljica, Zorica Knezevic-Jugovic. Production of wheat gluten hydrolysates with improved functional properties: optimization of operating parameters by statistical design // Journal of Hygienic Engineering and Design. 2018. Vol.24. P. 90–100.

[31] Agaba AM, Oluchukwu AC, Ezenwa OS. Optimization and Kinetic Modeling of the Removal of Lead from Enugu Coal by Acid Leaching. Journal of Energy Research and Reviews. 2019:1–13. doi: 10.9734/jenrr/2019/v3i130090

[32] Okoro Sylvanus Ezenwa, Asadu Christian Oluchukwu, Abuh Mark Agaba. Optimization and Kinetic Modeling of the Removal of Lead from Enugu Coal by Acid Leaching / // Journal of Energy Research and Reviews. 2019. Vol.3. N.1. P. 1–13. doi: 10.9734/jenrr/2019/v3i13009

[33] GOST R 50.1.040−2002. Statisticheskie metody. Planirovanie eksperimentov. Terminy i opredeleniya. Available from: https://docs.cntd.ru/document/1200030727 (In Russ).

[34] ГОСТ Р 50.1.040−2002. Статистические методы. Планирование экспериментов. Термины и определения. М.: Изд-во стандартов, 2002. 39 с.

[35] Grachev YuP. Matematicheskie metody planirovaniya eksperimentov. Moscow: Pishchevaya promyshlennost’; 1979. (In Russ).

[36] Грачев Ю.П. Математические методы планирования экспериментов. М.: Пищевая промышленность, 1979. 200 с.

[37] Mel’nikov SV, Aleshkin VR, Roshchin PM. Planirovanie eksperimenta v issledovaniyakh sel’skokhozyaistvennykh protsessov. Leningrad: Kolos; 1980. (In Russ).

[38] Мельников С.В., Алёшкин В.Р., Рощин П.М. Планирование эксперимента в исследованиях сельскохозяйственных процессов. Л.: Колос, 1980. 168 с.

RIGHTS & PERMISSIONS

Eco-Vector