Numerical Simulation of the Effect of Process Parameters on Pass Filling Degree in F-Section Steel Finishing Rolling Process
Abstract
1. Introduction
2. FEM Model Establishments
2.1. Finite Element Modeling Process
2.2. Determination of Material Model
2.3. Definition of Friction Model and Thermal Boundary Conditions
2.4. Determination of Rolling Process Parameters
2.5. Finite Element Model
3. Finite Element Simulation of F-Section Steel
3.1. Tandem Rolling State
3.2. Stress–Strain Contour Plot
3.3. Pass Filling Degree
3.4. Validation of Simulation Results
4. Results and Discussion
4.1. Effect of Friction Coefficient on Pass Filling Degree
4.2. Effect of Tension Configuration on Pass Filling Degree
4.3. Effect of Rolling Temperature on Pass Filling Degree
4.4. Effect of Web Reduction on Pass Filling Degree
5. Conclusions
- (1)
- During finishing rolling, the maximum deformation of the rolled piece is concentrated at the junctions of the inner leg with the flange, the inner leg with the web, and the outer leg with the web. The underfilling phenomenon is observed in the flange and legs of each pass. The relative errors between the rolling force and the characteristic dimensions of the rolled piece cross-section obtained via numerical simulation and the on-site actual values were controlled within 10% and 2%, respectively, which verifies the accuracy of the simulation results.
- (2)
- Conditions of low friction, small reduction, and high temperature facilitate the smooth filling of metal in the leg cavity; in contrast, conditions of high friction, large reduction, and low temperature promote the filling of surface metal and an increase in spread. Maintaining a low-tension state is a common favorable condition for improving the pass filling degree of both the legs and the surface.
- (3)
- From an industrial standpoint, the implementation of an effective lubrication mechanism can reduce friction, lower rolling loads, and facilitate rolling reduction. The application of appropriate tension can prevent the formation of overfilling defects and folds. By optimizing the reduction schedule and rationally distributing metal elongation across different cross-sectional regions, the deformation concentration within the pass can be effectively mitigated. The rational control of rolling temperature is not only associated with the flow and filling behavior of metal within the pass, but also serves as a critical measure to prevent surface cracks and folding defects.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Wang, W.B.; Deng, Z.X.; Li, Y.D.; Huang, Z.C.; Niu, Y.B.; Xie, K. Numerical analysis of subgrade behavior under a dynamic maglev train load. Adv. Civ. Eng. 2022, 2022, 2014376. [Google Scholar] [CrossRef]
- Chen, Z.H.; Zhang, H.T.; Xu, X.Y.; Ren, X.B.; Feng, D.B. Numerical study on dynamic characteristics of medium-low-speed maglev railway with novel structures for vehicle speed-up application. J. Vib. Control 2025. [Google Scholar] [CrossRef]
- Peng, H.; Wu, Z.K.; Peng, X.; Xiao, X.Q.; Li, Z.C. Deformation Control of the Existing Medium-Low-Speed Maglev Metro Viaduct over a Double-Line Bored Tunnel. Appl. Sci. 2023, 13, 6659. [Google Scholar] [CrossRef]
- Feng, Y.; Zhao, C.F.; Zhai, W.M.; Tong, L.S.; Liang, X.; Shu, Y. Dynamic Performance of Medium Speed Maglev Train Running Over Girders: Field Test and Numerical Simulation. Int. J. Struct. Stab. Dyn. 2023, 23, 2350006. [Google Scholar] [CrossRef]
- Yan, L.G. Development and application of the maglev transportation system. IEEE Trans. Appl. Supercond. 2008, 18, 92–99. [Google Scholar] [CrossRef]
- Palmer, C. Engineered to Go Fast, Maglev Trains Inch Forward. Engineering 2021, 7, 891–893. [Google Scholar] [CrossRef]
- Lin, G.B.; Sheng, X.W. Application and further development of Maglev transportation in China. Transp. Syst. Technol. 2018, 4, 36–43. [Google Scholar] [CrossRef]
- Pressas, I.S.; Papaefthymiou, S.; Manolakos, D.E. On the Fundamentals of Reverse Ring Rolling: A Numerical Proof of Concept. Materials 2024, 17, 2055. [Google Scholar] [CrossRef]
- Ojeda-López, A.; Botana-Galvín, M.; Collado-García, I.; González-Rovira, L.; Botana, F.J. Finite Element Simulation of Hot Rolling for Large-Scale AISI 430 Ferritic Stainless-Steel Slabs Using Industrial Rolling Schedules—Part 1: Set-Up, Optimization, and Validation of Numerical Model. Materials 2025, 18, 383. [Google Scholar] [CrossRef]
- Ojeda-López, A.; Botana-Galvín, M.; González-Rovira, L.; Botana, F.J. Numerical simulation as a tool for the study, development, and optimization of rolling processes: A review. Metals 2024, 14, 737. [Google Scholar] [CrossRef]
- Ervasti, E.; Ståhlberg, U. Void initiation close to a macro-inclusion during single pass reductions in the hot rolling of steel slabs: A numerical study. J. Mater. Proc. Technol. 2005, 170, 142–150. [Google Scholar] [CrossRef]
- Kim, S.Y.; Im, Y.T. Three-dimensional finite element analysis of non-isothermal shape rolling. J. Mater. Proc. Technol. 2002, 127, 57–63. [Google Scholar] [CrossRef]
- Tajik, Y.; Naeini, H.M.; Tafti, R.A.; Bidabadi, B.S. A strategy to reduce the twist defect in roll-formed asymmetrical-channel sections. Thin-Walled Struct. 2018, 130, 395–404. [Google Scholar] [CrossRef]
- Oh, I.Y.; Hwang, T.W.; Woo, Y.Y.; Yun, H.J.; Moon, Y.H. Process-induced defects in an L-shape profile ring rolling process. Int. J. Mater. Form. 2019, 12, 727–740. [Google Scholar] [CrossRef]
- Nogayev, K.; Kamarov, A.; Abishkenov, M.; Ashkeyev, Z.; Sembayev, N.; Kydyrbayeva, S. Finite Element-Based Multi-Objective Optimization of a New Inclined Oval Rolling Pass Geometry. Modelling 2025, 6, 110. [Google Scholar] [CrossRef]
- Graça, A.; Vincze, G. A short review on the finite element method for asymmetric rolling processes. Metals 2021, 11, 762. [Google Scholar] [CrossRef]
- Akkaş, M.; Önder, B.; Sevgi, E.; Çulha, O. Computer aided design, analysis and manufacturing of hot rolled bulb flat steel profiles. El-Cezeri 2020, 7, 9–19. [Google Scholar]
- Pan, C.G.; Ding, Z.Z.; Chang, Q.M.; Zhou, J.L. Experimental and numerical studies on flow behavior of surface defects in the heavy rail rolling. Eng. Comput. 2018, 35, 1279–1300. [Google Scholar] [CrossRef]
- Wang, Y.S.; Xu, X.D.; Ren, B.B.; Liu, J.; Zhao, R.G. Effect of geometrical factors on torsion in cold roll forming of the lower side beam of a car. Appl. Sci. 2021, 11, 7852. [Google Scholar] [CrossRef]
- Wang, Y.S.; Xu, X.D.; Liu, H.J.; Liu, J.; Zhao, R.G. Optimization of the forming method on torsion defect in cold-roll forming of Z section steel. ACS Omega 2022, 7, 4804–4811. [Google Scholar] [CrossRef]
- Liu, Y.M.; Li, Y.X.; Wang, Z.H.; Liu, Y.X.; Wang, T.; Huang, Q.X.; Wang, T.X. Deformation mechanism and microstructure evolution in stainless steel clad plate of longitudinal corrugated hot rolling. J. Mater. Process. Technol. 2023, 316, 117957. [Google Scholar] [CrossRef]
- Perez-Alvarado, A.; Arreola-Villa, S.A.; Calderon-Ramos, I.; Castañeda, R.S.; de la Rosa, L.A.M.; Chattopadhyay, K.; Morales, R. Numerical Simulation of the Hot Rolling Process of Steel Beams. Materials 2021, 14, 7038. [Google Scholar] [CrossRef]
- Ganguly, S.; Wang, X.; Chandrashekhara, K.; Buchely, M.F.; Lekakh, S.; O’mAlley, R.J.; Kumar, A.; Thapliyal, V. Modeling and simulation of mass flow during hot rolling low carbon steel I-beam. J. Manuf. Process. 2021, 64, 285–293. [Google Scholar] [CrossRef]
- Li, N.; Xu, Y.W.; Yin, A.M.; Qian, Y.J. Numerical Simulation of Multi-Pass Hot Rolling of TA1/Q235B Clad Plates. Trans. Indian Inst. Met. 2024, 77, 2909–2917. [Google Scholar] [CrossRef]
- Zhou, L.Q.; Yang, B. Simulation of A Hot-rolled H-section Steel Beam Subject to Static Loading Based on Discrete Element Method. Procedia Eng. 2017, 210, 312–319. [Google Scholar] [CrossRef]
- Zhang, P.; Shen, Q.Y.; Ba, Y.X.; Liu, Q.; Wu, L.Y.; Song, J.F.; Jiang, B.; Pan, F.S. Influence of Temperature Distribution on the Microstructure and Edge-Cracking Behavior of AZ31 Sheets During Online Heating Rolling. Adv. Eng. Mater. 2025, 27, 2500457. [Google Scholar] [CrossRef]




















| Temperature (°C) | 800 | 900 | 1000 | 1100 | 1200 |
|---|---|---|---|---|---|
| Young’s Modulus (MPa) | 1.27 × 105 | 1.17 × 105 | 1.06 × 105 | 0.96 × 105 | 0.86 × 105 |
| Poisson’s Ratio | 0.33 | 0.35 | 0.35 | 0.36 | 0.36 |
| Density (g/cm3) | 7.61 | 7.60 | 7.54 | 7.49 | 7.44 |
| Expansion Coefficient | 1.48 × 10−5 | 1.54 × 10−5 | 1.39 × 10−5 | 1.37 × 10−5 | 1.35 × 10−5 |
| Thermal Conductivity (mW/(mm.°C)) | 25.98 | 26.58 | 27.18 | 28.43 | 29.68 |
| Specific Heat (mJ/(tone.°C)) | 9.59 × 108 | 6.09 × 108 | 6.25 × 108 | 6.40 × 108 | 6.57 × 108 |
| Thermal Boundary Conditions | Parameter |
|---|---|
| Film coefficient (mW/(mm2·°C)) | 0.065 |
| Emissivity | 0.8 |
| Ambient temperature (°C) | 20 |
| Roll temperature (°C) | 200 |
| Initial temperature of rolled piece (°C) | 1200 |
| Plastic Work Heat Generation Coefficient | 0.9 |
| Friction Heat Generation Coefficient | 0.5 |
| Pass Profile | Reduction (mm) | Thickness (mm) | Roll Gap (mm) | Roll Speed Rpm (1/min) | Rolling Speed (m/s) | Rolling Force (ton) |
|---|---|---|---|---|---|---|
| Groove-D | 7 | 47.7 | 5.5 | 64.6 | 3.22 | 322 |
| Groove-ER | 0 | 47.7 | 10 | 69.7 | — | 188 |
| Groove-C | 6 | 41.7 | 5.5 | 74.2 | 3.98 | 457 |
| Groove-B | 4 | 37.7 | 5.5 | 78.9 | 4.00 | 412 |
| Groove-EF | 0 | 37.7 | 10 | 81.7 | — | 121 |
| Groove-A | 1.2 | 36.5 | 5.5 | 83.1 | 4.47 | 518 |
| Pass Profile | Simulated Value/kN | Measured Value/kN | Error Value/KN | Error Rate/% |
|---|---|---|---|---|
| Groove-D | 3432 | 3158 | 274 | 7.98% |
| Groove-ER | 1789 | 1843 | 54 | 3.02% |
| Groove-C | 4703 | 4482 | 221 | 4.93% |
| Groove-B | 4197 | 4040 | 157 | 3.89% |
| Groove-EF | 1205 | 1187 | 18 | 1.49% |
| Groove-A | 4935 | 5080 | 145 | 2.85% |
| Measurement | Simulated Value/mm | Measured Value/mm | Relative Error/% |
|---|---|---|---|
| Web thickness | 36.42 | 36.5 | 0.22 |
| Flange thickness | 30.47 | 30.5 | 0.10 |
| Inner leg height | 100.21 | 100.3 | 0.09 |
| Outer leg height | 99.04 | 100.3 | 1.26 |
| Upper surface width | 366.51 | 368.5 | 0.54 |
| Lower surface width | 376.45 | 378.0 | 0.41 |
| Inner Leg Height /mm | Outer Leg Height /mm | Upper Surface Width /mm | Lower Surface Width /mm | |
|---|---|---|---|---|
| Groove-B pass | 107.68 | 100.91 | 367.09 | 378.81 |
| Friction coefficient-0.2 | 107.29 | 99.20 | 361.59 | 371.29 |
| Friction coefficient-0.3 | 106.70 | 98.99 | 362.31 | 371.71 |
| Friction coefficient-0.4 | 105.35 | 98.38 | 363.23 | 372.05 |
| Condition Category | Front Tension/MPa | Back Tension/MPa |
|---|---|---|
| 1 | 0 | 0 |
| 2 | 0 | 8 |
| 3 | 0 | 16 |
| 4 | 8 | 0 |
| 5 | 8 | 8 |
| 6 | 8 | 16 |
| 7 | 16 | 0 |
| 8 | 16 | 8 |
| 9 | 16 | 16 |
| Condition Category | Inner Leg Height /mm | Outer Leg Height /mm | Upper Surface Width /mm | Lower Surface Width /mm |
|---|---|---|---|---|
| Groove-B | 107.68 | 100.91 | 367.09 | 378.81 |
| 1 | 107.29 | 99.20 | 361.59 | 371.29 |
| 2 | 106.73 | 98.86 | 359.74 | 370.32 |
| 3 | 105.98 | 97.81 | 357.58 | 369.31 |
| 4 | 107.23 | 99.16 | 361.33 | 371.20 |
| 5 | 106.65 | 98.83 | 359.51 | 370.24 |
| 6 | 105.92 | 97.75 | 357.53 | 369.08 |
| 7 | 107.18 | 99.14 | 361.27 | 371.10 |
| 8 | 106.56 | 98.76 | 359.26 | 370.18 |
| 9 | 105.84 | 97.68 | 357.35 | 368.79 |
| Inner Leg Height /mm | Outer Leg Height /mm | Upper Surface Width /mm | Lower Surface Width /mm | |
|---|---|---|---|---|
| Groove-B pass | 107.68 | 100.91 | 367.09 | 378.81 |
| Rolling temperature-980 °C | 106.86 | 98.92 | 361.67 | 371.42 |
| Rolling temperature-1010 °C | 107.29 | 99.20 | 361.59 | 371.29 |
| Rolling temperature-1040 °C | 107.55 | 100.06 | 361.35 | 370.86 |
| Condition Category | Web Thickness of Rolled Piece/mm | Web Thickness of the Pass/mm | Web Reduction/mm | Web Reduction Rate/% |
|---|---|---|---|---|
| 1 | 41.7 | 38.7 | 3 | 7.19 |
| 2 | 41.7 | 37.7 | 4 | 9.59 |
| 3 | 41.7 | 36.7 | 5 | 12.00 |
| Web Reduction /mm | Inner Leg Height of Rolled Piece/mm | Inner Leg Height of the Pass/mm | Outer Leg Height of Rolled Piece/mm | Outer Leg Height of the Pass/mm |
|---|---|---|---|---|
| 3 | 108.35 | 108.68 | 100.33 | 101.91 |
| 4 | 107.29 | 107.68 | 99.20 | 100.91 |
| 5 | 105.67 | 106.68 | 98.01 | 99.91 |
| Web Reduction /mm | Upper Surface Width of Rolled Piece/mm | Upper Surface Width of the Pass/mm | Lower Surface Width of Rolled Piece/mm | Lower Surface Width of the Pass/mm |
|---|---|---|---|---|
| 3 | 361.54 | 367.09 | 371.24 | 378.81 |
| 4 | 361.59 | 367.09 | 371.29 | 378.81 |
| 5 | 362.02 | 367.09 | 371.59 | 378.81 |
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Duan, H.; Jin, L.; Xiao, R.; Gao, Y.; Li, X.; Ding, J. Numerical Simulation of the Effect of Process Parameters on Pass Filling Degree in F-Section Steel Finishing Rolling Process. Materials 2026, 19, 2058. https://doi.org/10.3390/ma19102058
Duan H, Jin L, Xiao R, Gao Y, Li X, Ding J. Numerical Simulation of the Effect of Process Parameters on Pass Filling Degree in F-Section Steel Finishing Rolling Process. Materials. 2026; 19(10):2058. https://doi.org/10.3390/ma19102058
Chicago/Turabian StyleDuan, Huiyuan, Li Jin, Ruxin Xiao, Yang Gao, Xu Li, and Jingguo Ding. 2026. "Numerical Simulation of the Effect of Process Parameters on Pass Filling Degree in F-Section Steel Finishing Rolling Process" Materials 19, no. 10: 2058. https://doi.org/10.3390/ma19102058
APA StyleDuan, H., Jin, L., Xiao, R., Gao, Y., Li, X., & Ding, J. (2026). Numerical Simulation of the Effect of Process Parameters on Pass Filling Degree in F-Section Steel Finishing Rolling Process. Materials, 19(10), 2058. https://doi.org/10.3390/ma19102058

