Predicting Critical Heat Flux

prediction of critical heat flux using Machine Learning

@kaggle.saurabhshahane_predicting_heat_flux

Table List

1 table(36.63 KB)

Data Chf Zhao 2020 Ate

@kaggle.saurabhshahane_predicting_heat_flux.data_chf_zhao_2020_ate

36.63 KB
1865 rows
10 columns

id Id	author Author	geometry Geometry	pressure_mpa Pressure [MPa]	mass_flux_kg_m2_s Mass Flux [kg/m2-s]	x_e_out X E Out [-]	d_e_mm D E [mm]	d_h_mm D H [mm]	length_mm Length [mm]	chf_exp_mw_m2 Chf Exp [MW/m2]
1	Inasaka	tube	0.39	5600	-0.1041	3	3	100	11.3
2	Inasaka	tube	0.31	6700	-0.0596	3	3	100	10.6
3	Inasaka	tube	0.33	4300	-0.0395	3	3	100	7.3
4	Inasaka	tube	0.62	6400	-0.146	3	3	100	12.8
5	Inasaka	tube	0.64	4700	-0.0849	3	3	100	11
6	Inasaka	tube	0.64	6200	-0.1221	3	3	100	8.2
7	Inasaka	tube	0.91	5500	-0.1224	3	3	100	15.6
8	Peskov	tube	10	1944	-0.0465	10	10	400	4.2
9	Peskov	tube	10	4750	-0.0297	10	10	660	4
10	Peskov	tube	10	1000	0.0103	10	10	565	4.3


CREATE TABLE data_chf_zhao_2020_ate (
  "id" BIGINT,
  "author" VARCHAR,
  "geometry" VARCHAR,
  "pressure_mpa" DOUBLE,
  "mass_flux_kg_m2_s" BIGINT,
  "x_e_out" DOUBLE,
  "d_e_mm" DOUBLE,
  "d_h_mm" DOUBLE,
  "length_mm" BIGINT,
  "chf_exp_mw_m2" DOUBLE
);