Integration of abrasive machining theory and motion compensation strategies for honing of 9310 steel

Abstract

The machining accuracy control of honing 9310 steel thin-walled components (e.g., helicopter tail drive shafts) remains challenging owing to complex abrasive-workpiece interactions. This paper proposes a modeling approach that integrates abrasive machining theory with kinematic analysis. A novel honing-stone machining simulation model was developed based on the abrasive machining theory, enabling the accurate prediction of key parameters, including the number of effective abrasive grains, depth of cut, and tangential force under varying normal forces. By incorporating the honing stone trajectories, a diameter increment distribution model was established, achieving a prediction error of 9.74% compared with experimental measurements. To address the axial nonuniformity, an adaptive reciprocation-speed optimization method reduced the average cylindricity error by 28.1%. These findings provide a robust theoretical foundation for the next generation of honing technologies, offering practical solutions for enhancing precision in critical components, such as helicopter drive shafts.

Keywords

9310 steel / Honing / Abrasive machining simulation / Hole-diameter increment / Process optimization

References

[1] Yang CY, Wang Z, Su H, et al.. Numerical analysis and experimental validation of surface roughness and morphology in honing of Inconel 718 nickel-based superalloy. Adv Manuf, 2023, 11: 130-142.

[2] Yang C, Su H, Gao S, et al.. Characterization and life prediction of single-pass honing tool for fuel injection nozzle. Chin J Aeronaut, 2021, 34: 225-240.

[3] Grabon W, Pawlus P, Wos S, et al.. Effects of honed cylinder liner surface texture on tribological properties of piston ring-liner assembly in short time tests. Tribol Int, 2017, 113: 137-148.

[4] Mezghani S, Demirci I, Yousfi M, et al.. Running-in wear modeling of honed surface for combustion engine cylinderliners. Wear, 2013, 302: 1360-1369.

[5] Goeldel B, El Mansori M, Dumur D. Macroscopic simulation of the liner honing process. CIRP Ann, 2012, 61: 319-322.

[6] Goeldel B, Mansori ME, Dumur D. Simulation of roughness and surface texture evolution at macroscopic scale during cylinder honing process. Procedia CIRP, 2013, 8: 27-32.

[7] Joliet R, Kansteiner M. A high resolution surface model for the simulation of honing processes. Adv Mater Res, 2013, 769: 69-76.

[8] Joliet R, Kansteiner M, Kersting P. A process model for force-controlled honing simulations. Procedia CIRP, 2015, 28: 46-51.

[9] Reizer R, Pawlus P, Wieczorowski M. Simulation of plateau-honed cylinder liner surface texture creation using superimposition approach. Precis Eng, 2023, 82: 10-24.

[10] Zhou Z, Zhang X, Lv K, et al.. Predicting microscale cross-hatched surface texture in engine cylinder bore. Procedia CIRP, 2018, 71: 272-278.

[11] Zhou Z, Zhang X, Lv K et al (2019) Simulating the sequential honing process of engine cylinder bore by modeling abrasives in honing stone. In: ASME 14th international manufacturing science and engineering conference, 10–14 June, Erie, Pennsylvania, USA. https://doi.org/10.1115/MSEC2019-3049

[12] Kumar S, Paul S. Numerical modelling of ground surface topography: effect of traverse and helical superabrasive grinding with touch dressing. Prod Eng Res Devel, 2012, 6: 199-204.

[13] Chen H, Tang J. A model for prediction of surface roughness in ultrasonic-assisted grinding. Int J Adv Manuf Technol, 2015, 77: 643-651.

[14] Tsybenko H, Xia W, Dehm G, et al.. On the commensuration of plastic plowing at the microscale. Tribol Int, 2020, 151. ArticleID: 106477

[15] Chen N, Li L, Wu J, et al.. Research on the ploughing force in micro milling of soft-brittle crystals. Int J Mech Sci, 2019, 155: 315-322.

[16] Wan M, Ma YC, Feng J, et al.. Study of static and dynamic ploughing mechanisms by establishing generalized model with static milling forces. Int J Mech Sci, 2016, 114: 120-131.

[17] Bhokse V, Chinchanikar S, Anerao P, et al.. Experimental investigations on chip formation and plowing cutting forces during hard turning. Mater Today Proc, 2015, 2: 3268-3276.

[18] Laakso SVA, Agmell M, Stahl JE. The mystery of missing feed force–the effect of friction models, flank wear and ploughing on feed force in metal cutting simulations. J Manuf Process, 2018, 33: 268-277.

[19] Yao Y, Liu G, Zhai J, et al.. Chip formation and surface integrity investigation considering the minimum uncut chip thickness in micro-helical milling. J Market Res, 2025, 36: 2272-2283.

[20] Dong Z, Wang H, Qi Y, et al.. Effects of minimum uncut chip thickness on tungsten nano-cutting mechanism. Int J Mech Sci, 2023, 237. ArticleID: 107790

[21] Wojciechowski S, Krajewska-Śpiewak J, Maruda RW, et al.. Study on ploughing phenomena in tool flank face-workpiece interface including tool wear effect during ball-end milling. Tribol Int, 2023, 181. ArticleID: 108313

[22] de Paiva SG, de Oliveira D, Malcher L. Numerical study of the minimum uncut chip thickness in micro-machining of Inconel 718 based on Johnson-Cook isothermal model. Int J Adv Manuf Technol, 2023, 127: 2707-2721.

[23] Liu H, Guo Y, Li D, et al.. Material removal mechanism of FCC single-crystalline materials at nano-scales: chip removal & ploughing. J Mater Process Technol, 2021, 294. ArticleID: 117106

[24] Hu X, Xi C, Yu B. Research on cylindricity prediction and process parameter optimization in honing based on response surface methodology. China Mech Eng, 2014, 25(2098–2101): 2106.

[25] Buj-Corral I, Sender P, Luis-Pérez CJ (2023) Multi-objective optimization of tool wear, surface roughness, and material removal rate in finishing honing processes using adaptive neural fuzzy inference systems. Tribol Int 182:108354. https://doi.org/10.1016/j.triboint.2023.108354

[26] Van AL, Nguyen TT (2022) An energy efficiency-based optimization of the rough honing process of hardened 5150 alloy. Proc Inst Mech Eng Part E J Process Mech Eng 237:336–349. https://doi.org/10.1177/09544089221106661

[27] Xi C, Hu X, Zhang Z (2011) Research for cylindricity prediction model of inner-hole honing. In: 2011 Second international conference on mechanic automation and control engineering, 15‒17 July, Hohhot, pp 1506–1509. https://doi.org/10.1109/MACE.2011.5987234

[28] Nguyen TT, Vu TC, Duong QD. Multi-responses optimization of finishing honing process for surface quality and production rate. J Braz Soc Mech Sci Eng, 2020, 42: 604.

[29] Tang T, Liu C, Wang R. Optimization of honing surface roughness of carburized holes based on GRA-RSM. Mach, 2021, 9: 291.

[30] Chohan JS, Kumar R, Singh S, et al.. Prediction of response parameters during magnetic assisted honing process using artificial neural network. AIP Conf Proc, 2023, 2535. ArticleID: 050002

[31] Sivatte-Adroer M, Llanas-Parra X, Buj-Corral I, et al.. Indirect model for roughness in rough honing processes based on artificial neural networks. Precis Eng, 2016, 43: 505-513.

[32] Buj-Corral I, Sender P, Luis-Pérez CJ. Modeling of surface roughness in honing processes by using fuzzy artificial neural networks. J Manuf Mater Process, 2023, 7: 23.

[33] Zhang X, Zhang XP. Free-floating dynamic material removal mechanism of the honing process. Int J Adv Manuf Technol, 2023, 127: 4473-4489.

[34] Grezina AV, Igumnov LA, Metrikin VS et al (2024) Dynamics of honing of deep cylindrical holes with memory effects in the frictional interaction. In: Balandin D, Barkalov K, Meyerov I (eds) Mathematical modeling and supercomputer technologies, Springer Nature, Switzerland, Cham, pp 3–14. https://doi.org/10.1007/978-3-031-52470-7_1

[35] Zhang X, Wang X, Wang D et al (2016) Methodology to improve the cylindricity of engine cylinder bore by honing. J Manuf Sci Eng 139(3):031008. https://doi.org/10.1115/1.4034622

[36] Gao L, Zhang X, Yao Z (2013) Trajectory reconstruction and precision control of cylinder bore honing of automobile engine. Mech Des and Res 29(1):75–79. https://doi.org/10.13952/j.cnki.jofmdr.2013.01.005

[37] Muratov KR, Ablyaz TR, D’yakonov AA, et al (2023) Improving hole geometry in honing. Russ Engin Res 43:1246–1248. https://doi.org/10.3103/S1068798X23100222

[38] Lu Y, Li J, Liang R, et al.. Investigation on the effect of honing parameters on cylindricity of engine cylinder liner. Int J Adv Manuf Technol, 2020, 111: 3111-3122.

[39] Min H, Ning H, Gong J et al (2021) Motion simulation analysis and process practice in honing process. Mech Des and Manuf 306(4):248–252. https://doi.org/10.19356/j.cnki.1001-3997.2021.04.057

[40] He H, Yang C, Su H et al (2022) Research on prediction of honing material removal volume of aviation electro-hydraulic servo valve sleeve. Aeronaut Manuf Technol 65:87–94. https://doi.org/10.16080/j.issn1671-833x.2022.04.087

[41] Zhang X, Zhou Z, Yao Z, et al.. Analytically predicating the multi-dimensional accuracy of the honed engine cylinder bore. J Tribol, 2020, 142. ArticleID: 091201

[42] Zhou Z, Zhang X, Yao Z et al (2017) Predicting multi-scale dimensional accuracy of engine cylinder by honing. In: ASME 2017 12th international manufacturing science and engineering conference collocated with the JSME/ASME 2017 6th international conference on materials and processing, 4–8 June, Los Angeles, California. https://doi.org/10.1115/MSEC2017-2673

[43] Zhang X, Wang X, Wang D, et al.. Methodology to improve the cylindricity of engine cylinder bore by honing. J Manuf Sci Eng, 2017, 139. ArticleID: 031008

[44] Klein S, Fang S, Bähre D. Analysis of different surface structures of hard metal guiding stones in the honing process. Procedia Manuf, 2017, 10: 265-275.

[45] Schmitt C, Bähre D. Analysis of the process dynamics for the precision honing of bores. Procedia CIRP, 2014, 17: 692-697.

[46] Schmitt C, Bähre D. An approach to the calculation of process forces during the precision honing of small bores. Procedia CIRP, 2013, 7: 282-287.

Funding

National Major Science and Technology Projects of China(J2022-VII-0004-0046)

RIGHTS & PERMISSIONS

Shanghai University and Periodicals Agency of Shanghai University and Springer-Verlag GmbH Germany, part of Springer Nature