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Year 2020, Volume: 1 Issue: 2, 35 - 41, 03.09.2020

Mehmet Selman Gökmen Mehmet Bilban

Abstract

References

  • T. J. Robinson, “A discussion of ‘Response surface design evaluation and comparison,’” J. Stat. Plan. Inference, vol. 139, no. 2, pp. 669–670, 2009.
  • N. R. Draper, “Introduction to Box and Wilson (1951) On the Experimental Attainment of Optimum Conditions,” no. 1951, pp. 267–269, 1992.
  • B. Everitt, Introduction to Optimization Methods and Their Application in Statistics, no. 1. New York: Chapman and Hall, 1987.
  • C. M. Anderson-Cook, C. M. Borror, and D. C. Montgomery, “Response surface design evaluation and comparison,” J. Stat. Plan. Inference, vol. 139, no. 2, pp. 629–641, 2009.
  • D. C. Montgomery, Design and Analysis of Experiments, vol. 48, no. 1. 2006.
  • R. H. Myers, D. C. Montgomery, and C. M. Anderson-Cook, Response Surface Methodology, 4., no. 1. Hoboken, New Jersey: John Wiley & Sons, 2016.
  • Anonymous, “Statgraphics User Manual -Design of Experiments – Screening Designs,” StatPoint Inc. StatPoint Inc., p. 49, 2005.
  • Anonymous, “Statgraphics User Manual -Screening Design Selection,” StatPoint Inc. StatPoint Inc., p. 7, 2005.
  • Anonymous, “Statgraphics User Manual - Design of Experiments – Response Surface Designs,” StatPoint Inc. pp. 1–15, 2005.
  • H. F. Wagner, J. R., Mount, E. M., & Giles, “Design of Factorial Experiments,” Extrusion, pp. 291–308, 2014.
  • O. A. Adeleke et al., 2 -Locally Derived Activated Carbon From Domestic, Agricultural and Industrial Wastes for the Treatment of Palm Oil Mill Effluent. Elsevier Inc., 2018.
  • B. Ait-Amir, P. Pougnet, and A. El Hami, “Meta-model development,” Embed. Mechatron. Syst., vol. 2, pp. 151–179, 2015.
  • M. Hemmat Esfe, H. Rostamian, A. Shabani-samghabadi, and A. A. Abbasian Arani, “Application of three-level general factorial design approach for thermal conductivity of MgO/water nanofluids,” Appl. Therm. Eng., vol. 127, pp. 1194–1199, 2017.
  • N. R. Draper and D. K. J. Lin, “11 Response surface designs,” Handb. Stat., vol. 13, no. 1, pp. 343–375, 1996.
  • L. Gámiz-Gracia, L. Cuadros-Rodríguez, E. Almansa-López, J. J. Soto-Chinchilla, and A. M. García-Campaña, “Use of highly efficient Draper-Lin small composite designs in the formal optimisation of both operational and chemical crucial variables affecting a FIA-chemiluminescence detection system,” Talanta, vol. 60, no. 2–3, pp. 523–534, 2003.
  • Anonymous, “Statgraphics User Manual-Regression Model Selection,” StatPoint Inc., 2005.
  • E. Ostertagová, “Modelling using polynomial regression,” Procedia Eng., vol. 48, no. December 2012, pp. 500–506, 2012.
  • Anonymous, “Statgraphics User Manual-Subset Analysis,” StatPoint Inc., 2005.
  • M. Elkelawy et al., “Maximization of biodiesel production from sunflower and soybean oils and prediction of diesel engine performance and emission characteristics through response surface methodology,” Fuel, vol. 266, no. December 2019, p. 117072, 2020.
  • S. Simsek and S. Uslu, “Determination of a diesel engine operating parameters powered with canola, safflower and waste vegetable oil based biodiesel combination using response surface methodology (RSM),” Fuel, vol. 270, no. February, p. 117496, 2020.
  • S. Simsek and S. Uslu, “Investigation of the effects of biodiesel/2-ethylhexyl nitrate (EHN) fuel blends on diesel engine performance and emissions by response surface methodology (RSM),” Fuel, vol. 275, no. April, p. 118005, 2020.
  • S. Uslu, “Optimization of diesel engine operating parameters fueled with palm oil-diesel blend: Comparative evaluation between response surface methodology (RSM) and artificial neural network (ANN),” Fuel, vol. 276, no. April, p. 117990, 2020.
  • A. Sharma, Y. Singh, N. K. Singh, and A. Singla, “Sustainability of jojoba biodiesel/diesel blends for DI diesel engine applications- taguchi and response surface methodology concept,” Ind. Crops Prod., vol. 139, no. March, p. 111587, 2019.
  • Y. Singh, A. Sharma, S. Tiwari, and A. Singla, “Optimization of diesel engine performance and emission parameters employing cassia tora methyl esters-response surface methodology approach,” Energy, vol. 168, pp. 909–918, 2019.
  • Y. Singh, A. Sharma, G. Kumar Singh, A. Singla, and N. Kumar Singh, “Optimization of performance and emission parameters of direct injection diesel engine fuelled with pongamia methyl esters-response surface methodology approach,” Ind. Crops Prod., vol. 126, no. October, pp. 218–226, 2018.
  • S. Saravanan, B. Rajesh Kumar, A. Varadharajan, D. Rana, B. Sethuramasamyraja, and G. Lakshmi Narayana rao, “Optimization of DI diesel engine parameters fueled with iso-butanol/diesel blends – Response surface methodology approach,” Fuel, vol. 203, pp. 658–670, 2017.
  • G. Najafi, B. Ghobadian, T. Yusaf, S. M. S. Ardebili, and R. Mamat, “Optimization of performance and exhaust emission parameters of a SI (spark ignition) engine with gasoline-ethanol blended fuels using response surface methodology,” Energy, vol. 90, pp. 1815–1829, 2015.

Optimization of Internal Combustion Engine Tests with Response Surface Methodology: A Review

Year 2020, Volume: 1 Issue: 2, 35 - 41, 03.09.2020

Mehmet Selman Gökmen Mehmet Bilban

Abstract

Experimental design is an important technique to reduce cost, determine optimum parameters and obtain scientifically meaningful results. Response surface methodology is a useful method for the design and optimization of experiments. In this review, theoretical information about the method, calculations and stages of designing are clearly stated. Apart from this, in this study, the applications in the literature are summarized for the researchers who will carry out optimization studies in internal combustion engines.

Keywords

Internal Combustion Engines Response Surface Methodology Design of Experiences Alternative Fuels

References

  • T. J. Robinson, “A discussion of ‘Response surface design evaluation and comparison,’” J. Stat. Plan. Inference, vol. 139, no. 2, pp. 669–670, 2009.
  • N. R. Draper, “Introduction to Box and Wilson (1951) On the Experimental Attainment of Optimum Conditions,” no. 1951, pp. 267–269, 1992.
  • B. Everitt, Introduction to Optimization Methods and Their Application in Statistics, no. 1. New York: Chapman and Hall, 1987.
  • C. M. Anderson-Cook, C. M. Borror, and D. C. Montgomery, “Response surface design evaluation and comparison,” J. Stat. Plan. Inference, vol. 139, no. 2, pp. 629–641, 2009.
  • D. C. Montgomery, Design and Analysis of Experiments, vol. 48, no. 1. 2006.
  • R. H. Myers, D. C. Montgomery, and C. M. Anderson-Cook, Response Surface Methodology, 4., no. 1. Hoboken, New Jersey: John Wiley & Sons, 2016.
  • Anonymous, “Statgraphics User Manual -Design of Experiments – Screening Designs,” StatPoint Inc. StatPoint Inc., p. 49, 2005.
  • Anonymous, “Statgraphics User Manual -Screening Design Selection,” StatPoint Inc. StatPoint Inc., p. 7, 2005.
  • Anonymous, “Statgraphics User Manual - Design of Experiments – Response Surface Designs,” StatPoint Inc. pp. 1–15, 2005.
  • H. F. Wagner, J. R., Mount, E. M., & Giles, “Design of Factorial Experiments,” Extrusion, pp. 291–308, 2014.
  • O. A. Adeleke et al., 2 -Locally Derived Activated Carbon From Domestic, Agricultural and Industrial Wastes for the Treatment of Palm Oil Mill Effluent. Elsevier Inc., 2018.
  • B. Ait-Amir, P. Pougnet, and A. El Hami, “Meta-model development,” Embed. Mechatron. Syst., vol. 2, pp. 151–179, 2015.
  • M. Hemmat Esfe, H. Rostamian, A. Shabani-samghabadi, and A. A. Abbasian Arani, “Application of three-level general factorial design approach for thermal conductivity of MgO/water nanofluids,” Appl. Therm. Eng., vol. 127, pp. 1194–1199, 2017.
  • N. R. Draper and D. K. J. Lin, “11 Response surface designs,” Handb. Stat., vol. 13, no. 1, pp. 343–375, 1996.
  • L. Gámiz-Gracia, L. Cuadros-Rodríguez, E. Almansa-López, J. J. Soto-Chinchilla, and A. M. García-Campaña, “Use of highly efficient Draper-Lin small composite designs in the formal optimisation of both operational and chemical crucial variables affecting a FIA-chemiluminescence detection system,” Talanta, vol. 60, no. 2–3, pp. 523–534, 2003.
  • Anonymous, “Statgraphics User Manual-Regression Model Selection,” StatPoint Inc., 2005.
  • E. Ostertagová, “Modelling using polynomial regression,” Procedia Eng., vol. 48, no. December 2012, pp. 500–506, 2012.
  • Anonymous, “Statgraphics User Manual-Subset Analysis,” StatPoint Inc., 2005.
  • M. Elkelawy et al., “Maximization of biodiesel production from sunflower and soybean oils and prediction of diesel engine performance and emission characteristics through response surface methodology,” Fuel, vol. 266, no. December 2019, p. 117072, 2020.
  • S. Simsek and S. Uslu, “Determination of a diesel engine operating parameters powered with canola, safflower and waste vegetable oil based biodiesel combination using response surface methodology (RSM),” Fuel, vol. 270, no. February, p. 117496, 2020.
  • S. Simsek and S. Uslu, “Investigation of the effects of biodiesel/2-ethylhexyl nitrate (EHN) fuel blends on diesel engine performance and emissions by response surface methodology (RSM),” Fuel, vol. 275, no. April, p. 118005, 2020.
  • S. Uslu, “Optimization of diesel engine operating parameters fueled with palm oil-diesel blend: Comparative evaluation between response surface methodology (RSM) and artificial neural network (ANN),” Fuel, vol. 276, no. April, p. 117990, 2020.
  • A. Sharma, Y. Singh, N. K. Singh, and A. Singla, “Sustainability of jojoba biodiesel/diesel blends for DI diesel engine applications- taguchi and response surface methodology concept,” Ind. Crops Prod., vol. 139, no. March, p. 111587, 2019.
  • Y. Singh, A. Sharma, S. Tiwari, and A. Singla, “Optimization of diesel engine performance and emission parameters employing cassia tora methyl esters-response surface methodology approach,” Energy, vol. 168, pp. 909–918, 2019.
  • Y. Singh, A. Sharma, G. Kumar Singh, A. Singla, and N. Kumar Singh, “Optimization of performance and emission parameters of direct injection diesel engine fuelled with pongamia methyl esters-response surface methodology approach,” Ind. Crops Prod., vol. 126, no. October, pp. 218–226, 2018.
  • S. Saravanan, B. Rajesh Kumar, A. Varadharajan, D. Rana, B. Sethuramasamyraja, and G. Lakshmi Narayana rao, “Optimization of DI diesel engine parameters fueled with iso-butanol/diesel blends – Response surface methodology approach,” Fuel, vol. 203, pp. 658–670, 2017.
  • G. Najafi, B. Ghobadian, T. Yusaf, S. M. S. Ardebili, and R. Mamat, “Optimization of performance and exhaust emission parameters of a SI (spark ignition) engine with gasoline-ethanol blended fuels using response surface methodology,” Energy, vol. 90, pp. 1815–1829, 2015.
There are 27 citations in total.

Details

Primary Language English
Subjects Mechanical Engineering
Journal Section Review
Authors

Mehmet Selman Gökmen 0000-0001-5943-7504

Mehmet Bilban 0000-0002-1524-031X

Publication Date September 3, 2020
Submission Date August 16, 2020
Published in Issue Year 2020 Volume: 1 Issue: 2

Cite

EndNote Gökmen MS, Bilban M (September 1, 2020) Optimization of Internal Combustion Engine Tests with Response Surface Methodology: A Review. Renewable Energy Sources Energy Policy and Energy Management 1 2 35–41.
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