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Featured researches published by Wenhu Wang.


Archive | 2018

Digitized Modeling Technology of Turbine Blade

Dinghua Zhang; Wenhu Wang; Kun Bu; Yunyong Cheng

The digitized modeling technology of turbine blade is input data of turbine blade casting mold. Due to the complexity of the turbine blade structure, it is much difficult to model the 3D parametric directly as a whole structure. The digitized modeling technology of turbine blade is input data of turbine blade casting mold. Due to the complexity of the turbine blade structure, it is much difficult to model the 3D parametric directly as a whole structure. The problem can be simplified by adopting structure decomposition, building, respectively, corresponding features of the decomposing structures and combining them with Boolean operations. The classification of blade structural features and the parametric modeling of structural features are introduced in this chapter.


Mathematical Problems in Engineering | 2018

Dimensional Deviation Estimation for Parts with Free-Form Surfaces

Dezhong Zhao; Wenhu Wang; Jinhua Zhou; Kang Cui; Qichao Jin

Dimensional deviation is a prerequisite for improving the manufacturing process of parts with free-form surfaces, for example, the reverse adjustment of the die cavity of turbine blade. Influenced by random noise of the manufacturing process, dimensional variation is inevitable for batch parts. Therefore, it may cause unacceptable error to estimate batch parts dimensional deviation by a single sample. Meanwhile, the optimum sample size for estimating dimensional deviation is difficult to determine. To overcome this problem, a practical method for estimating of dimensional deviation of parts with free-form surface is proposed. Firstly, displacements of the discrete points on part surface are employed to represent dimensional error of the part. Estimating dimensional deviation of parts is actually to estimate the simultaneous confidence intervals of the discrete point displacements. Secondly, Bonferroni simultaneous confidence intervals are adopted to estimate the confidence intervals of the part dimensional deviation. Moreover, the accuracy of the estimation will be continuously improved by increasing samples. Consequently, a practical dimensional deviation estimation method is presented. Finally, a compressor blade is adopted to illustrate the proposed method. The percentage of estimation error of the blade dimensional deviation that is less than 0.05mm, which is the estimation error limit, of all the 100 times sampling experiments is 99%, exceeding the given confidence level of 95%, while the percentage of the existing method is below the confidence level, only 87%.


Materials | 2018

Mechanisms and FEM Simulation of Chip Formation in Orthogonal Cutting In-Situ TiB2/7050Al MMC

Yifeng Xiong; Wenhu Wang; Ruisong Jiang; Kunyang Lin; Mingwei Shao

The in-situ TiB2/7050Al composite is a new kind of Al-based metal matrix composite (MMC) with super properties, such as low density, improved strength, and wear resistance. This paper, for a deep insight into its cutting performance, involves a study of the chip formation process and finite element simulation during orthogonal cutting in-situ TiB2/7050Al MMC. With chips, material properties, cutting forces, and tool geometry parameters, the Johnson–Cook (J–C) constitutive equation of in-situ TiB2/7050Al composite was established. Then, the cutting simulation model was established by applying the Abaqus–Explicit method, and the serrated chip, shear plane, strain rate, and temperature were analyzed. The experimental and simulation results showed that the obtained material’s constitutive equation was of high reliability, and the saw-tooth chips occurred commonly under either low or high cutting speed and small or large feed rate. From result analysis, it was found that the mechanisms of chip formation included plastic deformation, adiabatic shear, shearing slip, and crack extension. In addition, it was found that the existence of small, hard particles reduced the ductility of the MMC and resulted in segmental chips.


Materials | 2018

Evaluation of Residual Stress Distribution and Relaxation on In Situ TiB2/7050 Al Composites

Kunyang Lin; Wenhu Wang; Ruisong Jiang; Yifeng Xiong; Dezhong Zhao

Interior residual stresses induced by quenching may cause distortion during subsequent machining processes. Hence, various strategies have been employed to relieve the interior residual stress, such as stretching, post treatment, and other techniques. In this study, the stress distribution inside TiB2/7050 Al composite extrusions was investigated and the effects of different methods on relieving the quenching-induced stress were compared. Firstly, three TiB2/7050 Al composite extrusions were treated by stretching, stretching and heat treatment, and stretching and cold treatment processes, respectively. Then, the multiple-cut contour method was employed to assess the residual stresses in the three workpieces. Experimental results indicate that the interior stress of TiB2/7050 Al composite extrusions after stretching ranges from −89 MPa to +55 MPa, which is larger than that in 7050 aluminum alloy, which ranges from −25 Pa to +25 MPa. The heat treatment performs better than the cold treatment to reduce the post-stretching residual stress, with a reduction of 23.2–46.4% compared to 11.3–40.8%, respectively. From the stress map, it is found that the stress distribution after the heat treatment is more uniform compared with that after the cold treatment.


International Journal of Computer Integrated Manufacturing | 2018

Model reconstruction in adaptive machining for near-net-shape rolling compressor blades

Kang Cui; Wenhu Wang; Ruisong Jiang; Dezhong Zhao

ABSTRACT Because of its high productivity, the near-net-shape rolling process has received much attention for the manufacture of compressor blades of gas-turbine. However, due to the inherent characteristic of the rolling process, the material forced outward at the edges of the rolling blade still needs to be removed. Since each blade suffers from a different surface deformation within the tolerance zone, edges machined based on the nominal CAD model may not transition to the blade body smoothly. To solve this problem, an adaptive modelling method for machining surfaces of near-net-shape rolling blades is proposed. Through a rigid transformation and a subsequent deformation adjustment, each reference curve of the nominal CAD model can be registered to the corresponding measurement point set without losing its original shapes seriously, and then be used as the sectional curve of machining surfaces. Finally, the proposed method is verified on some blades, and the experimental results show that the edges milled with the reconstructed machining surfaces can transition to the blade body smoothly and accurately.


The International Journal of Advanced Manufacturing Technology | 2011

Geometric parameter-based optimization of the die profile for the investment casting of aerofoil-shaped turbine blades

Yiwei Dong; D. H. Zhang; Kun Bu; Yangqing Dou; Wenhu Wang


The International Journal of Advanced Manufacturing Technology | 2016

Wall thickness monitoring method for wax pattern of hollow turbine blade

Ruisong Jiang; Wenhu Wang; Dinghua Zhang; Zeng-qiang Wang


International Journal of Refractory Metals & Hard Materials | 2016

Surface integrity of milling in-situ TiB2 particle reinforced Al matrix composites

Yifeng Xiong; Wenhu Wang; Ruisong Jiang; Kunyang Lin; Guodong Song


The International Journal of Advanced Manufacturing Technology | 2016

Tool wear mechanisms for milling in situ TiB2 particle-reinforced Al matrix composites

Yifeng Xiong; Wenhu Wang; Ruisong Jiang; Kunyang Lin; Guodong Song


The International Journal of Advanced Manufacturing Technology | 2017

A deformation compensation method for wax pattern die of turbine blade

Ruisong Jiang; Dinghua Zhang; Kun Bu; Wenhu Wang; Jia-wei Tian

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Ruisong Jiang

Northwestern Polytechnical University

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Kunyang Lin

Northwestern Polytechnical University

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Yifeng Xiong

Northwestern Polytechnical University

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Dezhong Zhao

Northwestern Polytechnical University

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Kang Cui

Northwestern Polytechnical University

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Guodong Song

Northwestern Polytechnical University

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Dinghua Zhang

Northwestern Polytechnical University

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Kun Bu

Northwestern Polytechnical University

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Mingwei Shao

Northwestern Polytechnical University

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Qichao Jin

Northwestern Polytechnical University

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