Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of       Engineering Research and Applicat...
Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of       Engineering Research and Applicat...
Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of       Engineering Research and Applicat...
Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of       Engineering Research and Applicat...
Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of       Engineering Research and Applicat...
Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of        Engineering Research and Applica...
Upcoming SlideShare
Loading in …5
×

Im2515171522

265 views
210 views

Published on

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
265
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
3
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Im2515171522

  1. 1. Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1517-1522 Parametric Study of the Hot Rolling Process Using FEM Shailendra Dwivedi 1 Dr. Geeta Agnihotri 2 Dr. K.K.Pathak, 3 1. (Ph.D Scholar, Mechanical Engineering Department, Maulana Azad National Institute of Technology, Bhopal) 2. (Professor, Mechanical Engineering Department, Maulana Azad National of Technology, Bhopal) 3. (Professor, Civil Engineering Department, National Institute of Technical Teacher’s Training and Research, Bhopal)ABSTRACTNumerical Simulation has become a quite There are many studies concentrating on evaluatingimportant tool in the Manufacturing Industries. the temperature field during the hot rolling process.Rolling process is one of the most popular For example, Hollander (1970) has used a oneprocesses in manufacturing in order to make dimensional FED model and the assumption ofdifferent parts with a long range variety of homogenous deformation to estimate thedimensions. In this procedure the internal raw temperature distribution during the hot strip rolling.material transform into desirable shape by at Samarasekara et.al. (1986) have predicted theleast rolls. In comparison with other methods for temperature distribution in the hot strip rolled stripanalysing the rolling process, the finite element rolled metal as well as in the work roll. In their workmethod is the most practical and accurate one, so the effects of process parameters on the temperaturea coupled thermo elastic plastic three dimensional field have been evaluated. Chen et.al (1993)finite element model is considered to analyse the calculated the temperature and strain fields byhot rolling process. In present research the coupled FEM and FDM code. The kinetic of ironinfluence of Modelling and Simulation of various oxidation during hot rolling has also beenparameters such as geometry of the slab, investigated in their paper. The temperaturetemperature, friction between work-rolls and variations in work roll have been considered in a fewslab, percentage of thickness reduction, rotational papers. Sluzalec (1984) has utilised a twospeed of work-roll have been studied on process. dimensional finite element method to predict theOutputs like temperature distribution, stress, temperature distribution during hot rolling andstrain and strain rate fields, roll force have been Teseng et.al (1990) have estimated the temperatureobtained through different inputs. The outputs of variations in the work roll in order to evaluate thefinite element simulation are used to investigate thermal stress distribution in the rolls. Mori er.althe effects of parameters on product integrity and (1982) has developed a finite element method, usingmechanical properties. the assumptions of rigid-plastic and slightly compressible material to predict the velocity fieldKeywords - FEM, Hot Rolling, Mathematical during isothermal steady and unsteady plane strainModel, Thermo mechanical Behaviour of Strip. rolling conditions. Hwu and Lenard (1988) have used finite element formulation for flat rollingI. INTRODUCTION process to assess the effects of work roll deformation The rolling process is one of the most and various friction conditions on the strain field.popular processes in manufacturing industries in that Yarita et.al (1988) have analysed the plane strainalmost 80% of metallic equipment has been exposed rolling process utilisation an elastic plastic finiteto rolling, at least one time in their production element model. They have attempted to predict theperiod. Among all kinds of the rolling processes, the stress and strain distribution within the deformationflat rolling is the most practical one. In industrial zone using an updated Lagrangian code. Hwnag andcountries, about 40-60% of rolling products are Joun (1992) have assessed the hot strip rollingproduced with this type of rolling. [3] process. The temperature distribution in the rolled Rolling is a fabricating process in which the metal and in the work roll and strain field have beenmetal, plastic, paper, glass, etc. is passed through a determined in their work. Serajzadeh et.al (2002)pair (on pairs) of rolls. In flat rolling the final shape investigated strain in homogeneity in hot stripof the product is either classes as sheet (typically rolling using two dimensional unsteady sate finitethickness less than 3 mm, also called “strip”) or plate element method .Duan and Sheppeard (2004)(typically more than 3mm). Flat rolling is classified investigated the influence of the constitute equationaccording to the temperature of the metal rolled. If on the FE modelling of the rolling of aluminiumthe temperature of the metal is above its alloy.recrystallization temperature, then the process istermed as hot rolling and if the temperature of the The contact problem has not much beenmetal is below its recrystallization temperature, the considered in past literature. However, because of itsprocess is termed as cold rolling.[6] non-linear nature and its complex conditions, it is 1517 | P a g e
  2. 2. Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1517-1522very important to consider it particularly. Combining Reduction 10%the finite element and boundary element methods, Temperature 300°CShangwu et.al (1999) carried out the 3D modelling Roll Speed 40rpmof hot roll for both rigid and flexible roll cases. Roll Diameter 495mmCavaliver et.al (2001) did research on the influence Roll Width 2000mmof parameters such as coefficient of friction andtemperature on the distribution of contact stresses.Duan and Sheppard (2002) besides studying theeffect of three friction models, considered thecontact pressure distribution. They concluded thatcontact pressure distribution, as a convergencecriterion, is greatly sensitive to the number ofelements. Arif et.al. (2004) simulated roll and stripinteraction for cold rolling process. The main objectof this study is to predict roll stresses anddeformation behaviour by considering bothmechanical and thermal loads. Studying theinfluence of number of elements on the tangentialand normal components of contact stresses, theyshowed that the contact stresses are much sensitiveto the number of contact elements. Phanirajet.al.(2005) compared the contact pressure of the rollsurface for five rolling stands of a steel strip. Fig.1. FEM Model Although the finite element method is avery powerful tool for simulation of the engineering The deformation material Al 2024 .its flow stress isproblems, the FEM simulation of non-linear problem expresses as Norton- Hoff Equation:is a time consuming procedure. Nowadays, steel andaluminium manufacturing industries go aheadtowards online fault detection in the rolling process (1)with the aim of elimination of these faults during the Where ko , β, are the material constant , m the strainmanufacturing process. For this to be achieved, rate sensitively index, n the strain-hardening index,faster prediction methods for predicting thebehaviour of the slab under rolling are needed. In the the equivalent strain, the equivalent strain ratepresent paper, the hot rolling process of strip is and is the samll constant 0.001 for Al 2024. osimulated with Abaqus 6.10 Software. The rolling isassumed to be rigid and for the deformable ko = 216.29 MPa, β = -0.00524, m = 0.11, n =aluminium strip, the thermo elastoplastic analysis,through 2D sequential transient thermal and 0.0198, o = 0.001 (for material Al 2024)incremental lagrangian analysis, is carried out. Thisway the effect of different process parameters such Mechanical and thermal property parameters used inas initial thickness of the strip, rolling speed and roll this simulation are given in table 2 &3.diameter, thickness reduction are studied. Table 2. Physical properties for Al 2024Finite Element Modelling: A 2-D rolling model Temperature Heat capacity Thermalhas been developed to simulate a single pass of the (oc) (J/kg. n) conductivityhot rolling process for aluminium alloy using the (W/m. K)Abaqus 6.10 Software .the rolling parameters use in 14 930 143.4this work is shown in table 1 and the finite element 280 990 167.1model is shown as fig 1. Due to the symmetric 306 1010 170.2nature of flat rolling only a quarter of the slab is 410 1050 174.1modelled. Table 3. Thermal PropertiesTable 1. Rolling Parameters. Heat transfer between 30Parameter Value slab and air Hear transfer between 25Width 1800mm slab and rollLength 500mmInlet Thickness 580mm The slab model is elastoplastic and young’s modulusOutlet Thickness 522mm 70 Gpa and passion ratio is 0.33. 1518 | P a g e
  3. 3. Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1517-1522The friction model is coulomb friction model: The model developed in this investigation is validated by comparing the model predictions of(2) rolling force, temperature and strain with theoreticalWhere µ is the coefficient of friction and P is the results of Duan and Sheppard[2] (fig 2-4) .table 4 &normal pressure [4]. 5 shows the rolling parameters using for validation.Cook and Maccrum proposed the following formulas Table4: Rolling parametersfor roll separating force P and torque M. Parameters Value Inlet Thickness 50mm Outlet Thickness 47.3mm Width 1050mm(3) Roll Radius 465mm Temperature 283̊C(4) Roll Speed 10rpmWhere , Reduction 9.43%Cp, Ip: geometrical coefficient used for the forcecalculation. Table 5: Thermal properties:Cg , Ig : geometrical coefficient used for the torque Heat transfer between 0.01calculation. slab and air Heat transfer between 25The value for these geometrical factors Cp,Ip,Cg and slab and rollIg can be determine from reference[5].During the rolling process, the temperaturedistribution in the strip and the work roll can becalculated using the governing partial differentialequation shown in the following equation:(5)Whereρ (kgm-3) is the density, C (jkg-1c-1) is the specificheat, k (Wm-1C-1) is the thermal conductivity and(Wm-3) is a heat generation term representing theheat released due to plastic work.The thermal boundary conditions in the model aredefined as: Fig 2: Strain Histories of rolling Single pass at the center point for rolling force per unit width.At the centreline of the strip, symmetry condition isassumed(6)And at the contact interface between the strip andthe work roll, an interfacial heat transfer coefficientis assumed: (7)In this paper a FEM with 16000 elements and 18954nodes is used with Lagrange incremental solverVerification of the results: Fig 3: Comparison of the histories. 1519 | P a g e
  4. 4. Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1517-1522Fig4: Comparison of the histories for rollingtemperature. Fig7.Roll force versus roll speed.Discussion of Results: The rolling process is The temperature history of the slab surfaceanalysed in terms of the rolling speed, the rollingdiameter, reduction and temperature of the slab. for different rolling speed is shown in fig8.the temperature distribution of the slab center versus theRolling Speed: Fig 5. Shows the effect of rolling time is also shown in fig9. It is evident from Fig 8, that increasingspeed on strain rate. it is seen that increasing therolling speed increases the strain rate . rolling speed results in shorter contact time which decreases heat flow from the strip to the roll and environment. On the other hand, increasing rollingFig 6&7. Shows the effect of rolling speed on roll speed can results in more strain rate in theforce. It is seen that increasing the rolling speedincreases the roll force. This is because of increasing deformation region together with more internal heat generation due to rate of plastic-work.the strain rate results in hardening which causes Therefore it is observed that the minimummaterial to be more resistant to the deformation. temperature of the slab surface is decrease with decreasing of rolling speed with this behaviour. From Fig 9, it can be seen that the temperature of the centre of the slab increases with time until it reaches its maximum. This is because of heat generation due to the rate of plastic deformation. Thus it can be that the maximum temperature of the slab surface is not very much influenced by rolling speed.Fig5.Strain rate versus roll speedFig6.Roll force versus time with variation of roll Fig 8.Temperature on surface versus time withspeed. variation of rolling speed. 1520 | P a g e
  5. 5. Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1517-1522 Fig 11.Temperature on surface versus time withFig 9. Temperature on center versus time with variation of reduction.variation of rolling speed.Roll diameter: Fig10.shows the effect of rolldiameter on roll force. It is seen that increasing theroll diameter increases the roll force. This is becauseof increase in the strain rate results in hardeningwhich causes material to be more resistant to thedeformation. Fig 12. Temperature on center versus time with variation of reduction. From these figures, it can be seen that the minimum temperature of the top surface does not vary largely as the difference in reductions of dimensions. It can be explained that more reduction results in longer contact length, which increases heatFig10. Roll force versus roll diameter. flow from the strip to the roll. On the other hand, high reduction in constant rolling speed can result inReduction: The temperature history of the slab more strain and strain rate in the deformation regionsurface for different thickness reductions is shown in together with more internal heat generation due toFig. 11. The temperature distribution of the slab rate of plastic work. So we can observe thecenter versus the time is also shown in Fig .12. 1521 | P a g e
  6. 6. Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1517-1522maximum temperature on the slab surface is increase neural network. J. Mater process. Technol.with increasing of reduction. 209, (1920-1935) [4] Xincai Tan, Xiu-Tian Yan, Neal P. Juster,Temperature: Fig .13. Shows the effect of rolling Srinivasan Raghunathan, Jian Wang.2008speed on roll force. It is seen that increasing the Dynamic friction model and its applicationrolling temperature decrease the roll force. This is in flat rolling. Journal of materialsbecause of increasing the flow stress of material. processing technology. 2 0 7 (222–234) [5] Ginzburg, Vladimir, Ballas, Robert. “Fundamentals of flat rolling manufacturing engineering and materials processing”. 2000 [6] Zhous. S.X. 2003”An integrated Model for hot rolling of steel strips”, Journal of Material Processing Technology 134 (338- 351).Fig 13. Roll force versus time with variation oftemperature.Conclusion: Through the simulation of the hot flatrolling of aluminum alloy 2024, the followingconclusions may be presented:Temperature of the strip, during rolling process,depends on several parameters such as interface heattransfer coefficient, rolling speed, and the amount ofthickness reduction.Roll force of rolling process depends on severalparameters such as temperature, roll diameter androlling speed.All of the parameters on the Hot Rolling Processhave been optimized.References [1] Duan, Sheppard, 2002. Three dimensional thermal Mechanical Coupled Simulations during hot strip rolling of AA3003. J.Mech. Sci. 44, (2155-2172). [2] Duan, X. , Sheppard , T. , 2004. The influence of the constitutive equation on the simulation during hot rolling process. J. Mater. Process. Technil. 150, (100-106) [3] Shaheni, A.R. , Setayeshi, S. , Nadamaie, S. A., Asadi, M.A., Rezaie, S. 2009 prediction of influence parameters on the hot rolling process using finite element method and 1522 | P a g e

×