A Study on Controlling NH<sub>3</sub> and NO<sub>X</sub> Emissions in an Ammonia/Diesel Dual-Fuel Engine Using Response Surface Methodology. [PDF]
Peng Y +6 more
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Sustainable synthesis and characterization of Zn-Al doped nanocomposites for removal of brilliant blue dye: optimization using a response surface methodology. [PDF]
Matla S +7 more
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Hydrogels with Enhanced Mechanical Properties from Starch-Rich Food Waste: Optimization by Response Surface Methodology. [PDF]
Li Y +6 more
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Parametric optimization of graphite powder-mixed electrical discharge machining of Ni-Cr dental alloy by response surface methodology. [PDF]
San ES +7 more
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Experimental optimization of an IoT-driven load adaptive wireless charging system for electric vehicles using response surface methodology. [PDF]
Nandankar PV +7 more
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Dissolution of cellulose derivatives in NaOH/urea aqueous solvent and optimisation of a cationic cellulose/carboxymethyl cellulose hydrogel using response surface methodology. [PDF]
Tuan Mohamood NFA +3 more
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(1996). Response Surface Methodology. IIE Transactions: Vol. 28, Scheduling and Logistics, pp. 1031-1032.
Raymond H. Myers, Douglas C. Montgomery
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Response Surface Methods (RSMs) are statistical and numerical models that approximate the relationship between multiple input variables and an output variable. This chapter introduces the methodology and its importance for engineer- ing design optimisation. The basic steps to build RSMs and validate the model accuracy are explained.
Luis A. Sarabia +2 more
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