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Yibo Jiang

Bio: Yibo Jiang is an academic researcher from Zhejiang University. The author has contributed to research in topics: Lubrication & Stiffness. The author has an hindex of 2, co-authored 3 publications receiving 9 citations.

Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors investigated the rolling contact fatigue of gear surfaces in a heavy loader gearbox under various working conditions using the critical plane-based multiaxial Fatemi-Socie criterion.
Abstract: The rolling contact fatigue of gear surfaces in a heavy loader gearbox is investigated under various working conditions using the critical plane-based multiaxial Fatemi–Socie criterion. The mechanism for residual stress to increase the fatigue initiation life is that the compressive residual stress has a negative normal component on the critical plane. Based on this mechanism, the genetic algorithm is used to search the optimum residual stress distribution that can maximize the fatigue initiation life for a wide range of working conditions. The optimum residual stress distribution is more effective in increasing the fatigue initiation life when the friction coefficient is larger than its critical value, above which the fatigue initiation moves from the subsurface to the surface. Finally, the effect on the fatigue initiation life when the residual stress distribution deviates from the optimum distribution is analyzed. A sound physical explanation for this effect is provided. This yields a useful guideline to design the residual stress distribution.

12 citations

Journal ArticleDOI
TL;DR: In this article , the effect of lubricant viscosity on dynamics of a high-precision spur gear pair with near-zero backlash was investigated under deterministic and uncertain conditions via a tribo-dynamic model.

10 citations

Journal ArticleDOI
TL;DR: In this article, the multiaxial Fatemi-Socie fatigue criterion is adopted to study the contact fatigue in a spherical asperity subjected to cyclic elastic-plastic normal loading.
Abstract: Surface fatigue resulting from cyclic contact loading is a main reason for the rough surface wear. Since a rough surface consists of many asperities, the fatigue in one asperity is investigated. The multiaxial Fatemi–Socie fatigue criterion is adopted to study the contact fatigue in a spherical asperity subjected to cyclic elastic-plastic normal loading. The fatigue damage in the asperity is predicted. The maximum fatigue damage occurs at the edge of the maximum contact area. Two typical patterns are found for the fatigue damage distribution. Locations and orientations of fatigue microcrack initiation are also identified. Finally, future research directions are discussed.

5 citations

Journal ArticleDOI
TL;DR: In this article , a two-part gear tribodynamic model considering tooth profile modification (TPM) is established, which is a coupling model of gear dynamics and elastohydrodynamic lubrication theory, so that the lubricant-induced backlash reduction and geometry of modified tooth profiles can be described.

2 citations

Journal ArticleDOI
27 Dec 2022-Machines
TL;DR: In this paper , a dimensional error prediction algorithm using principal component analysis (PCA), extreme learning machine (ELM), genetic algorithm (GA), and ensemble strategy (bagging algorithm) is designed.
Abstract: Grinding, which determines the final dimension of parts, is an important process in manufacturing companies. In praxis, in order to avoid quality problems on the customer’s side, an online dimension check is normally used after the grinding process to ensure the product dimensions; however, it is always hysteretic and needs extra space and machine investment. To deal with the issue, dimensional error prediction of the grinding process is highly needed, and does not require extra space or machinery, as well as having better real-time performance. In this paper, a dimensional error prediction algorithm using principal component analysis (PCA), extreme learning machine (ELM), genetic algorithm (GA), and ensemble strategy (bagging algorithm) is designed. Specifically, PCA is used as a pre-treatment method to extract the main relevant components, then a bagging–GA–ELM model is constructed to predict the final product dimensional error after the grinding process, in which extreme learning machine (ELM) is utilized as a basic framework because of its fast calculation speed. GA, with its excellent global optimization capability, is implemented to search optimal input weights and thresholds of ELM, enabling ELM to obtain a better prediction performance. In addition, considering the complex environment of the industrial field, the bagging algorithm is employed to enhance the anti-noise ability of the proposed algorithm. Finally, the proposed algorithm is verified by a case from a bearing company.

2 citations


Cited by
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Journal ArticleDOI
TL;DR: The results show that the proposed ADLSTM-MC method outperforms the mainstream regression algorithms and several recent published hybrid methods in terms of data requirement and prediction accuracy.

65 citations

Journal ArticleDOI
TL;DR: In this article, a coupled viscoplastic-damage constitutive model based on the thermal deformation and microstructure evolution is established, and the parameters in the model are determined based on a hybrid identification method.

26 citations

Journal ArticleDOI
TL;DR: In this paper, the surface roughness of a 6-mm-thick plate with three different thicknesses and with two directions relative to the cold rolling process direction (longitudinal and transverse) was analyzed.
Abstract: Lightweight alloys made from aluminium are used to manufacture cars, trains and planes. The main parts most often manufactured from thin sheets requiring the use of milling in the manufacturing process are front panels for control systems, housing parts for electrical and electronic components. As a result of the final phase of the manufacturing process, cold rolling, residual stresses remain in the surface layers, which can influence the cutting processes carried out on these materials. The main aim of this study was to verify whether the strategy of removing the outer material layers of aluminium alloy sheets affects the surface roughness after the face milling process. EN AW-6082-T6 aluminium alloy thin plates with three different thicknesses and with two directions relative to the cold rolling process direction (longitudinal and transverse) were analysed. Three different strategies for removing the outer layers of the material by face milling were considered. Noticeable differences in surface roughness 2D and 3D parameters were found among all machining strategies and for both rolling directions, but these differences were not statistically significant. The lowest values of Ra = 0.34 µm were measured for the S#3 strategy, which asymmetrically removed material from both sides of the plate (main and back), for an 8-mm-thick plate in the transverse rolling direction. The highest values of Ra = 0.48 µm were measured for a 6-mm-thick plate milled with the S#2 strategy, which symmetrically removed material from both sides of the plate, in the longitudinal rolling direction. However, the position of the face cutter axis during the machining process was observed to have a significant effect on the surface roughness. A higher surface roughness was measured in the areas of the tool point transition from the up-milling direction to the down-milling direction (tool axis path) for all analysed strategies (Ra = 0.63–0.68 µm). The best values were obtained for the up-milling direction, but in the area of the smooth execution of the process (Ra = 0.26–0.29 µm), not in the area of the blade entry into the material. A similar relationship was obtained for analysed medians of the arithmetic mean height (Sa) and the root-mean-square height (Sq). However, in the case of the S#3 strategy, the spreads of results were the lowest.

14 citations

Journal ArticleDOI
TL;DR: In this paper , the authors focus on the effect of the surface separation on the tribological properties of additively manufactured 316 steel under novel lubrication environment and show that the hybrid cryo+MQL is helpful in providing the good lubrication film and consequently improves the tribology properties.

13 citations

Journal ArticleDOI
TL;DR: In this article , the effect of lubricant viscosity on dynamics of a high-precision spur gear pair with near-zero backlash was investigated under deterministic and uncertain conditions via a tribo-dynamic model.

10 citations