Abstract
The complex design of the duo cold-mill, especially the pass. Aiming at this challenge, a parametric mathematical model of the pass is established in the present study. The cold rolling process of 50 pairs of tubes with reasonable actual rolling quality is simulated to obtain the change law of the rolling force. In the trial rolling test, it is found that there is a small part, which does not have ideal quality. In order to improve the quality of these rolling mills, tube rolling specifications for Φ43 mm × 6 mm~Φ25.4 mm × 1.2 mm are considered as an example, where the dimensional precision of the production tube is considered as the objective function and the change laws of rolling force are considered as the constraint condition. Furthermore, the orthogonal test is used to solve the constraint conditions for finding the best combination of seven design variables of the pass curve. Then the dimension of the pass curve is optimized by best combination. The optimization results show that the change laws of rolling force accord with the constraint conditions, and the average value of ΔD, γ, ΔS, and μ decreases by 63.00%, 62.89%, 58.10%, and 58.10%, respectively. It is concluded that the precision of the optimized pass is obviously better than that of the original pass. Finally, in order to verify the universality of the optimization method, the best design parameter combination for selected 20 groups of different specifications of tube rolling is investigated by the orthogonal test and the trial rolling test is carried out accordingly. The obtained results show that 90% of the rolling effect is ideal.
Similar content being viewed by others
References
Huang B, Xing K, Huang K, Lan H (2014) Development of a geometric modelling strategy for roll pass optimal design[J]. Robot Comput Integr Manuf 30(6):622–628
Huang B, Xing K, Abhary K, Spuzic S (2012) Optimization of oval-round pass design using genetic algorithm[J]. Robot Comput Integr Manuf 28(4):493–499
Nefedova OG, Razvorotneva AV, Feoktistov AO, Kulyasova IV, Lukonin GY, Penkin DS (2017) Mastering the production of solid-rolled rings at the electrostal metallurgical plant[J]. Metallurgist 61(7-8):569–573
Li H, Wei D, Zhang HQ, Yang H, Li GJ (2019) Tooling design–related spatial deformation behaviors and crystallographic texture evolution of high-strength Ti-3Al-2.5 V tube in cold pilgering[J]. Int J Adv Manuf Technol 104(5-8):2851–2862
Kwon HC, Im YT (2002) Interactive computer-aided-design system for roll pass and profile design in bar rolling [J]. J Mater Process Technol 123(3):399–405
Huang B, Xing K, Abhary K, Spuzic S (2012) Development of energy-saving optimization for the oval-edging oval pass design using genetic algorithm[J]. Int J Adv Manuf Technol 61(5-8):423–429
Said A, Lenard JG, Ragab AR, Elkhier MA (1999) The temperature, roll force and roll torque during hot bar rolling[J]. J Mater Process Technol 88(1-3):147–153
Singh J, Mahesh S, Roy S, Kumar G, Srivastava D (2016) A miniature physical simulator for pilgering[J]. J Mater Process Technol 237:126–138
Pociecha D, Boryczko B, Osika J, Mroczkowski M (2014) Analysis of tube deformation process in a new pilger cold rolling process[J]. Arch Civ Mech Eng 14(3):376–382
Abe H, Iwamoto T, Yamamoto Y, Nishida S, Komatsu R (2016) Dimensional accuracy of tubes in cold pilgering[J]. J Mater Process Technol 231:277–287
He WJ, Yuan GH, Luan BF, Wang L, Liu Q (2018) On the pilger rolling of Zr-4 alloy: finite element modeling and plastic deformation behavior[J]. Rare Metal Mater Eng 47(1):82–88
Nalawade RS, Marje VR, Balachandran G, Balasubramanian V (2016) Effect of pass schedule and groove design on the metal deformation of 38MnVS6 in the initial passes of hot rolling[J]. Sadhana 41(1):111–124
Cao JG, Chai XT, Li YL, Kong N, Jia SH, Zeng W (2017) Integrateddesign of roll contours for strip edge drop and crowncontrol in tandem cold rolling mills[J]. J Mater Process Technol 252:432–439
Lambiase F (2013) Optimization of shape rolling sequences by integrated artificial intelligent techniques[J]. Int J Adv Manuf Technol 68(1-4):443–452
Abe H, Furugen M (2012) Method of evaluating workability in cold pilgering[J]. J Mater Process Technol 212(8):1687–1693
Vaidya VA (2016) Application of Taguchi for optimization of process parameters inimproving thickness variation in single stand cold rolling Mill[J]. Chem Eng Sci 5(5):15–23
Funding
This work is financially supported by the National Natural Science Foundation of China (No. 51975190, No. 51405140).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Wang, Q., Huang, P. & Yin, Y. Design and optimization of rolling mills pass based on parameterization and orthogonal test. Int J Adv Manuf Technol 112, 803–818 (2021). https://doi.org/10.1007/s00170-020-06353-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-020-06353-z