SENSITIVITY ANALYSIS BY ARTIFICIAL NEURAL NETWORK (ANN) OF VARIABLES THAT INFLUENCE THE DIAGONAL TWIST IN A PAPERBOARD INDUSTRIAL MACHINE

Schneid, Guinter Neutzling; Oliveira, Rubens Chaves de; Vieira, Osvaldo

doi:10.5902/1980509825149

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Artigos • Ciênc. Florest. 26 (4) • Oct-Dec 2016 • https://doi.org/10.5902/1980509825149 copy

SENSITIVITY ANALYSIS BY ARTIFICIAL NEURAL NETWORK (ANN) OF VARIABLES THAT INFLUENCE THE DIAGONAL TWIST IN A PAPERBOARD INDUSTRIAL MACHINE^¹ 1 Primeiro artigo da dissertação apresentada ao Programa de Mestrado em Celulose e Papel da Universidade Federal de Viçosa.

ANÁLISE DE SENSIBILIDADE, POR MEIO DE REDE NEURAL ARTIFICIAL, DAS VARIÁVEIS QUE INFLUENCIAM O ENCANOAMENTO DIAGONAL EM UMA MÁQUINA DE PAPEL-CARTÃO

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

The dimensional stability of the paper may change due to middle exchange moisture, releasing the latent stress acquired into the manufacturing process. One result of this tension release is the diagonal curl. This study aims to conduct a sensitivity analysis of the different input's variables of an industrial paper machine, along with some laboratory measurements, in order to identify the importance in production of paperboard quality control and relate to the property of the paper called twist. A survey was made of the production history, relating to 2012, to observe the products with the highest quality losses. From this, they were correlated with the critical points of measurement profile in the machine cross direction and consequently with the paper. It was found some changes once the variables correlated with twist, referring to the three analyzes of the profile (tender side, middle and drive side). It was revealed, from the sensitivity analysis, that the most important and sensitive variables, respectively for the tender side, middle and drive side, were total flow from the top layer, vapor pressure in the 6th group of drying cylinders and mass flow side of the bottom layer of the formation of paperboard.

Keywords:
twist; sensitivity analysis; dimensional stability; paperboard.

Universidade Federal de Santa Maria Av. Roraima, 1.000, 97105-900 Santa Maria RS Brasil, Tel. : (55 55)3220-8444 r.37, Fax: (55 55)3220-8444 r.22 - Santa Maria - RS - Brazil
E-mail: cienciaflorestal@ufsm.br

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[TFN1] Where in: TS: Tender side of machine; M: middle of machine; DS: drive side of machine.

Description	Tag	Unit
Twist TS	50_09_Twist_LC	mm
Twist M	50_09_Twist_M	mm
TwistDS	50_09_Twist_LA	mm
Curl 50% U.R. Pos.1	50_09_Encan50_1	mm
Curl 50% U.R. Pos.5	50_09_Encan50_5	mm
Curl 50% U.R. Pos.10	50_09_Encan50_10	mm
TSO Angle p01-02	50_09 506p01-02	°
TSO Angle p09-10	50_09 506p09-10	°
TSO Angle p19-20	50_09 506p19-20	°
TSI MD/CD p01-02	50_09 500p01-02 / 50_09 501p01-02	kNm/g
TSI MD/CD p09-10	50_09 500p09-10 / 50_09 501p09-10	kNm/g
TSI MD/CD p19-20	50_09 500p19-20 / 50_09 501p19-20	kNm/g
Fiber Orientation Angle_Bottom_049-070	39PERFANGULOFOBOTF4_049-070	°
Fiber Orientation Angle _ Bottom _265-286	39PERFANGULOFOBOTF4_265-286	°
Fiber Orientation Angle _ Bottom _535-556	39PERFANGULOFOBOTF4_535-556	°
Fiber Orientation Angle _Top_049-70	39PERFANGULOFOTOPF4_049-70	°
Fiber Orientation Angle _ Top _265-286	39PERFANGULOFOTOPF4_265-286	°
Fiber Orientation Angle _ Top _535-556	39PERFANGULOFOTOPF4_535-556	°
Fiber Ratio _ Bottom _049-70	39PERFORIENTFOBOTF4_049-70
Fiber Ratio _ Bottom _265-286	39PERFORIENTFOBOTF4_265-286
Fiber Ratio _ Bottom _535-556	39PERFORIENTFOBOTF4_535-556
Fiber Ratio _ Top _049-70	39PERFORIENTFOTOPF4_049-70
Fiber Ratio _ Top _265-286	39PERFORIENTFOTOPF4_265-286
Fiber Ratio _ Top _535-556	39PERFORIENTFOTOPF4_535-556
Shopper RieglerBottom	50_09SR_TQB	°SR
Shopper RieglerTop	50_09SR_TQC	°SR
Shopper RieglerMiddle	50_09SR_TQM	°SR
Performance PM9	39_Performance
Velocity Pope	392M3820_D115_VEL	m/min
Grammage	9GRM_cond_ROLO_F1	g/m²
Coating grammage	39_Tinta_Total_Medido	g/m²
Thickness	9ESP_ROLO_F1	µm
Moisture	9UMID_ROLO_F1	% a.s.
% Softwood Refined Middle	392PCT_PB_MV	%
Breu Bottom	392FIC3001_CONS_ESP_BASE	kg/ton
Breu Middle	392FIC3002_CONS_ESP_MEIO	kg/ton
Breu Top	392FIC3003_CONS_ESP_COB	kg/ton
AKD Bottom	392FIC3014_CONS_ESP_BASE	kg/ton
AKD Middle	392FIC3013_CONS_ESP_MEIO	kg/ton
AKD Top	392FIC3029_CONS_ESP_COB	kg/ton
Slice Opening Bottom	392ZT2195A_AO01	mm
Slice Distance Bottom	392ZT2195B_AO01	mm
Pressure Headbox Bottom TS	392PT2194A	kPa
Pressure Headbox Bottom DS	392PT2194B	kPa
Total Flow Headbox Bottom	391_FLUXOTOTAL_CALC_CX_ENTRADA_LB	l/min
J/W Bottom	392VJ_VT_BASE
Slice Opening Middle	392ZT2063A_AO01	mm
Slice Distance Middle	392ZT2063B_AO01	mm
Pressure Headbox Middle TS	392PT2064A	kPa
Pressure Headbox Middle DS	392PT2064B	Kpa
Total Flow Headbox Middle	391_FLUXOTOTAL_CALC_CX_ENTRADA_LM	l/min
J/W Meio	392VJVT_MEIO
Slice Opening Top	392ZT2061A_AO01	mm
Slice Distance Top	392ZT2061B_AO01	mm
Pressure Headbox Top TS	392PT2062A	kPa
Pressure Headbox Top DS	392PT2062B	kPa
Total Flow Headbox Top	391_FLUXOTOTAL_CALC_CX_ENTRADA_LC	l/min
J/W Top	392VJ_VT_COB
Module Edge TS Bottom	392FT2141A	l/min
Module Edge DS Bottom	392FT2141B	l/min
Pressure transmitter TS smoothing press	392PT5546A	kNm
Counter press	392PT5546B	kNm
Pressure transmitter DS smoothing press	392PT5546C	kNm
Cooked Starch Concentration	MP9_T_AMIDO_COZ_CONC	%
Steam Group 6 ° Lower	392PIC4046_MV	bar
Pressure Differential 6th Group Bottom	392PDIC4047_MV	bar
Steam Group 6 ° Upper	392PIC4048_MV	bar
Pressure Differential 6th Group Top	392PDIC4049_MV	bar
BIAS 6º Group	392BIAS_GRUPO6

		TS	M	DS
Importance order of output variable	11°	Total Flow Headbox Top	Steam Group 6 ° Lower	Module Edge DS Bottom
	22°	Slice Opening Bottom	Pressure transmitter DS smoothing press	Slice Opening Middle
	33°	Coating grammage	Breu	TSI MD DS
	44°	Counter press	°SR Top	Module Edge DS Top
55°	Orientation Top	Fiber Orientation Angle _ Top _265-286	Module Edge DS Middle

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SENSITIVITY ANALYSIS BY ARTIFICIAL NEURAL NETWORK (ANN) OF VARIABLES THAT INFLUENCE THE DIAGONAL TWIST IN A PAPERBOARD INDUSTRIAL MACHINE1 1 Primeiro artigo da dissertação apresentada ao Programa de Mestrado em Celulose e Papel da Universidade Federal de Viçosa.

ANÁLISE DE SENSIBILIDADE, POR MEIO DE REDE NEURAL ARTIFICIAL, DAS VARIÁVEIS QUE INFLUENCIAM O ENCANOAMENTO DIAGONAL EM UMA MÁQUINA DE PAPEL-CARTÃO

ABSTRACT

SENSITIVITY ANALYSIS BY ARTIFICIAL NEURAL NETWORK (ANN) OF VARIABLES THAT INFLUENCE THE DIAGONAL TWIST IN A PAPERBOARD INDUSTRIAL MACHINE^¹ 1 Primeiro artigo da dissertação apresentada ao Programa de Mestrado em Celulose e Papel da Universidade Federal de Viçosa.