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Authors Journal Continuous (Tandem) Cold Rolling Process with Applying ABAQUS Software Submit Manuscript | http://medcraveonline.com Tension After Tensile (Mpa); Σft → Tension Be For Tensile (Mpa); Σm → Mean Tension (Mpa); Ω → Angular Velocity Roller (Rad/S) Introduction The most important purpose of cold rolling processes, in addition to obtaining appropriate mechanical features, is to achieve very low and more precise thicknesses’, the issue that is not possible in hot rolling processes. Today, most cold rolling lines designed continuously and usually consist of 4 to 6 four- roller rolling rack. Finished surface of obtained sheets of cold rolling is Harder and more smooth than obtained sheets from hot rolling [1]. Obtained sheet and Belts from cold rolling produce in different thickness of 6 mm to less than 0.1 mm as skein and/ or sheet with mutual or tandem rolling racks. Also in cold rolling process, it can produce 25 to 90% decreasing in sheet’s thickness [2]. In sheet’s cold rolling, like final hot rolling, it is necessary to control effective parameters on rolling. These parameters include: thickness decreasing in each stage of rolling, the whole size of thickness decreasing, existing sheet’s width and thickness, thickness’s uniform in sheet’s with, smoothness of sheet’s surface, imbrication operation, back and forth tensile tensions, each rack’s torque and roller forces, speed and coordination among racks [2]. So far, numerous efforts are done about steel formation (shaping), especially cold rolling of steel sheets. In 2001, venkada and his colleagues in research named “arrangement model for continuous cold rolling” with emphasize on crucial roles of experimental data, in addition to calculated rollers consumption. Able power with regarding the percentage of sheet’s thickness decreasing and 6- racks rolling simulation, they reach to this result that performed calculations confirmed with Roberts reports [3]. Venga and his colleagues in 2000 in research about optimized design in order to continuous cold rolling programming, with the purpose of tension and speed optimization, designed algorithm based on genetic optimization method that with regarding power, tension distribution and sheet’s smoothness, they observed that obtained results have a good conformity with experimental experiments [4]. In 2008, Young and his colleagues in research named “Genetic Algorithm optimization in cold rolling”, with optimization plans analysis and comparison with existing plans, optimization program performance was satisfactory. In 2009, weining and his colleagues in research named steel cold rolling texture prediction with using artificial neural network “with the aim of designing model that can simultaneously and fast predict in engineering environment [5]. Regarded carbon and carbide rate and decreasing rolling work as a input calculation. Their obtained research’s output was indicative of parameters that confirmed with experimental data [6]. Newski and his colleagues in 2004 in research named “interdependence between rolling’s speed and nonlinear vibrations of roller’s system introduce analytical and approximate solution with presenting nonlinear mathematic model of continuous rolling fluctuation system that their obtained results from research were comparable with practical rolling parameters [7]. Vang and his colleagues in 2005 in research named “optimization of computational intelligence process based on continuous cold rolling”, with introducing a smart search mechanism for optimizing planning with rolling limitations evaluation and power’s tension and distribution combination function, achieve maximum safety ratio of tolled sheet. Introduced model in his research can solve multipurpose (objective) issues [8]. In 2008 pitner and siman, in its research named “control of tandem (continuous) cold rolling process” introduce noble method that central rolling process with applying riccati equation [9]. In 2008 Din and his colleagues used quadratic linear point- to-point method for optimizing control of continuous cold rolling. They use new strategy for controlling roller as to deal with Volume 2 Issue 2 - 2017 Daneshpajoohan Higher Education Institute, Iran *Corresponding author: Mohammad Reza Moghoomi, Department of Mechanical Engineering, Daneshpajoohan Higher Education Institute, Isfahan, Iran, Email: Received: December 03, 2017 | Published: December 06, 2017 Technical paper Author J 2017, 2(2): 00018 Abstract Rolling industry due to high production efficiency rate regarded as the most popular and the most prosperous metal production process especially steel, in the world. Among rolling processes methods, metal’s rolling in industry is an important position due to exposed precise control product’s dimensions and quality. So in this article, it is tried to investigate process computation and in continue, with applying ABAQUS software analysis this effective parameters and regarded output and study its results. Abbreviations: F → Forces Applied to the Roller Mill (Rolling Mill) (N); Hin → Input Sheet Thickness (mm); K → Work Hardening Coefficient; M → Rolling Torque (Nm); Pm → Mean Rolling Pressure (Mpa); R → Roller Radius (mm); R’ → Roller Radius After Deformation (Mm); R → The Percentage Of Sheet Thickness Reduction; W → Sheet Width (mm); Y → Mean Tensile Stress (Mpa); Ε0 → Initial Strain; Μ → Friction Coefficient; Σbt →
Transcript of Continuous (Tandem) Cold Rolling Process with …medcraveonline.com/AJ/AJ-02-00018.pdfContinuous...
Authors Journal
Continuous (Tandem) Cold Rolling Process with Applying ABAQUS Software
Submit Manuscript | http://medcraveonline.com
Tension After Tensile (Mpa); Σft → Tension Be For Tensile (Mpa); Σm → Mean Tension (Mpa); Ω → Angular Velocity Roller (Rad/S)
IntroductionThe most important purpose of cold rolling processes, in
addition to obtaining appropriate mechanical features, is to achieve very low and more precise thicknesses’, the issue that is not possible in hot rolling processes. Today, most cold rolling lines designed continuously and usually consist of 4 to 6 four-roller rolling rack. Finished surface of obtained sheets of cold rolling is Harder and more smooth than obtained sheets from hot rolling [1]. Obtained sheet and Belts from cold rolling produce in different thickness of 6 mm to less than 0.1 mm as skein and/or sheet with mutual or tandem rolling racks. Also in cold rolling process, it can produce 25 to 90% decreasing in sheet’s thickness [2]. In sheet’s cold rolling, like final hot rolling, it is necessary to control effective parameters on rolling. These parameters include: thickness decreasing in each stage of rolling, the whole size of thickness decreasing, existing sheet’s width and thickness, thickness’s uniform in sheet’s with, smoothness of sheet’s surface, imbrication operation, back and forth tensile tensions, each rack’s torque and roller forces, speed and coordination among racks [2]. So far, numerous efforts are done about steel formation (shaping), especially cold rolling of steel sheets. In 2001, venkada and his colleagues in research named “arrangement model for continuous cold rolling” with emphasize on crucial roles of experimental data, in addition to calculated rollers consumption. Able power with regarding the percentage of sheet’s thickness decreasing and 6- racks rolling simulation, they reach to this result that performed calculations confirmed with Roberts reports [3].
Venga and his colleagues in 2000 in research about optimized design in order to continuous cold rolling programming, with the purpose of tension and speed optimization, designed algorithm
based on genetic optimization method that with regarding power, tension distribution and sheet’s smoothness, they observed that obtained results have a good conformity with experimental experiments [4]. In 2008, Young and his colleagues in research named “Genetic Algorithm optimization in cold rolling”, with optimization plans analysis and comparison with existing plans, optimization program performance was satisfactory. In 2009, weining and his colleagues in research named steel cold rolling texture prediction with using artificial neural network “with the aim of designing model that can simultaneously and fast predict in engineering environment [5]. Regarded carbon and carbide rate and decreasing rolling work as a input calculation. Their obtained research’s output was indicative of parameters that confirmed with experimental data [6]. Newski and his colleagues in 2004 in research named “interdependence between rolling’s speed and nonlinear vibrations of roller’s system introduce analytical and approximate solution with presenting nonlinear mathematic model of continuous rolling fluctuation system that their obtained results from research were comparable with practical rolling parameters [7]. Vang and his colleagues in 2005 in research named “optimization of computational intelligence process based on continuous cold rolling”, with introducing a smart search mechanism for optimizing planning with rolling limitations evaluation and power’s tension and distribution combination function, achieve maximum safety ratio of tolled sheet. Introduced model in his research can solve multipurpose (objective) issues [8].
In 2008 pitner and siman, in its research named “control of tandem (continuous) cold rolling process” introduce noble method that central rolling process with applying riccati equation [9]. In 2008 Din and his colleagues used quadratic linear point-to-point method for optimizing control of continuous cold rolling. They use new strategy for controlling roller as to deal with
Volume 2 Issue 2 - 2017
Daneshpajoohan Higher Education Institute, Iran
*Corresponding author: Mohammad Reza Moghoomi, Department of Mechanical Engineering, Daneshpajoohan Higher Education Institute, Isfahan, Iran, Email:
Received: December 03, 2017 | Published: December 06, 2017
Technical paper
Author J 2017, 2(2): 00018
Abstract
Rolling industry due to high production efficiency rate regarded as the most popular and the most prosperous metal production process especially steel, in the world. Among rolling processes methods, metal’s rolling in industry is an important position due to exposed precise control product’s dimensions and quality. So in this article, it is tried to investigate process computation and in continue, with applying ABAQUS software analysis this effective parameters and regarded output and study its results.
Abbreviations: F → Forces Applied to the Roller Mill (Rolling Mill) (N); Hin → Input Sheet Thickness (mm); K → Work Hardening Coefficient; M → Rolling Torque (Nm); Pm → Mean Rolling Pressure (Mpa); R → Roller Radius (mm); R’ → Roller Radius After Deformation (Mm); R → The Percentage Of Sheet Thickness Reduction; W → Sheet Width (mm); Y → Mean Tensile Stress (Mpa); Ε0 → Initial Strain; Μ → Friction Coefficient; Σbt →
Citation: Moghoomi MR, Ghaderi F (2017) Continuous (Tandem) Cold Rolling Process with Applying ABAQUS Software. Author J 2(2): 00018.
Continuous (Tandem) Cold Rolling Process with Applying ABAQUS Software 2/4Copyright:
©2017 Moghoomi et al.
existing limitations with designing multi-input and multi-output functions. Their results show that rolled output sheet thickness is appropriate between 0.5 to %8 than other researches and caused stability in rolling process [10]. Presented picture in figure 1 shows the schematic of cold rolling process (Figure 1).
Cold rolling process analysis in ABAQUS
The method of solving cold rolling analysis problem in ABAQUS
Modeling and stimulation of rolling process by limited element soft ware’s like ABAQUS is an appropriate and most effective solution. In sheet’s rolling process, sheet with initial thickness of 1.7mm passed between two rollers and it’s thickness reduce to 32% mm. sheet’s length (the length of sheet) regarded 1 m. First Geometric model outlined in trap module. Roller is modeled as a rigid matter (material) with the radius of 261 mm and enters in analysis. RP point in figure 2 is indicative of circle’s center (the center of circle) (Figure 2). In continue, regarded (desired) mechanical features are entered in y treporp environment and osldi types of a cross section are defined. With regards to roller’s rigidity, we don’t need to define matter and cross section for them. Also density ratio (amount) considered equal to 7850 kg/m3, Young’s modulus and Poisson’s ratio considered equal to 200 g/p and 0.3, respectively. Table 1 shows related information to regarded metal sheet (Table 1,2). With entering to y/b mess A, sheet and roller assembled to each other, entered to pets’ module, we entered needed time period for analysis. In rolling process, we have need to define contact behavior among sheet and roller, so entered to noicaretnl module and considered friction coefficient equals to .0.05. In Idao module, first we bound roller. Form reference point in the event of 1 and 2 according to figure 3. We give to the bottom roller a rotational speed of 1and 10 R/t to the higher roller (Figures 3&4). Now create limited (finite) element on sheet in hse M module (Figure 5). Finally in boj module with time bus of defined boj, it begins to solve the process (Figure 6). Then with going to zilausivnoita module, computed output include figures, video are observable (Figures 7&8).
We define analysis kind (type) and appropriate solving problem selection in pet’s module. Then to determine needed outputs for instance incoming pressure by roller on sheet and/or created torque during rolling process, determine changes according to colorful contour or figures based on time (Figures 9-12).
Figure1: Cold rolling rollers schematic.
Figure2: Overview of sheet among two rollers in trap module.
Figure3: Bound overview of sheet in the events of 1 and 2 point.
Figure4: The bottom and the higher rotational speed.
Figure 5: Meshed sheet.
Citation: Moghoomi MR, Ghaderi F (2017) Continuous (Tandem) Cold Rolling Process with Applying ABAQUS Software. Author J 2(2): 00018.
Sphenopalatine Ganglion Block a Jack of all Trades Block 3/4Copyright:
©2017 Gharaei et al.
Figure 6: The view of some calculated final results.
Figure7: The conflict between two rollers of initial sheet.
Figure 8: Sheet presentation among (between) two rollers under the effects of incoming force via rollers.
Figure 10: Existed Maximum and Minimum tension on rolled sheet.
Figure11: The table of incoming pressure by roller on rolled sheet.
Figure 9: The table of incoming pressure on each sheet.
Figure 12: The table of incoming torque.
Citation: Moghoomi MR, Ghaderi F (2017) Continuous (Tandem) Cold Rolling Process with Applying ABAQUS Software. Author J 2(2): 00018.
Continuous (Tandem) Cold Rolling Process with Applying ABAQUS Software 4/4Copyright:
©2017 Moghoomi et al.
Table 1: Information table related to material.
Young’s Modulus 200 Gpa = 29 mpsi
Poisson’s Ratio 0.3
Mass Density 7850Friction Coeff 0.05
Table 2: Mechanical features of matter in plastic area.
No. Yield Stress Plastic Strain
1 169’000’000 0
2 219’000’000 0.1
3 272’000’000 0.2
4 309’000’000 0.3
5 337’000’000 0.4
6 362’000’000 0.5
7 383’000’000 0.6
8 401’000’000 0.7
9 418’000’000 0.8
10 434’000’000 0.9
11 448’000’000 1
ConclusionThe purpose of cold rolling process is to reduce sheet’s
thickness under great pressure as a result; we can point to interested matter’s hardness increasing, in appropriate increasing in crystal structure and increasing yield stress. In doing ABAQUS analysis operation, it is observed that the red and orange area of sheet under rolling rollers are the most tension and also the most incoming force from roller on sheet and in parts that we can see the blue and green sheet, incoming tension is lower, also incoming force amounts (rates) from roller on sheet has reverse relation with sheet’s thickness rate, in fact, the lower thickness, the more force effect on sheet.
AcknowledgementsThe authors declare that there are no acknowledgements
regarding the publication of this manuscript.
Conflict of InterestThe authors declare that there is no conflict of interests
regarding the publication of this manuscript.
References1. M Moshksar (2013) Rolling engineering principles. (3rd Edn), Shiraz
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