Impact prediction model of acetone at various ignition advance by artificial neural network and response surface methodology techniques for spark ignition engine | Science and Technology for Energy Transition (STET)

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Table 6

Important influence on response model terms and its coefficients.

p-values
Inputs	A	B	C	AB	AC	BC	A²	B²	C²
BTE	0.000	0.760	0.001	0.909	0.804	0.137	0.149	0.903	0.027
BSFC	0.238	0.045	0.045	0.770	0.441	0.611	0.037	0.206	0.121
CO	0.000	0.000	0.214	0.002	0.068	0.334	0.787	0.028	0.839
HC	0.001	0.035	0.042	0.104	0.996	0.015	0.660	0.835	0.173
CO₂	0.000	0.014	0.646	0.009	0.903	0.486	0.005	0.654	0.521
NO_x	0.000	0.002	0.021	0.025	0.006	0.049	0.024	0.043	0.012
O₂	0.000	0.031	0.044	0.645	0.796	0.919	0.022	0.293	0.532

Important (bold values): (0.000 ˂ p ≤ 0.05).

Notes: A: Engine speed, B: Acetone ratio, C: Ignition advance, AB: Engine speed × Acetone ratio, AC: Engine speed × Ignition advance, BC: Acetone ratio × Ignition advance, A²: Engine speed × Engine speed, B²: Acetone ratio × Acetone ratio, C²: Ignition advance × Ignition advance.

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