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- 저자 : Weizhen Zheng (검색결과 3 건)
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3D Machining Allowance Analysis Method for the Large Thin-Walled Aerospace Component
Hui Wang,Ming-Xing Zhou,Weizhen Zheng,Zhi-Bin Shi,Hong-Wei Li 한국정밀공학회 2017 International Journal of Precision Engineering and Vol.18 No.3
The structural distortion problem of large thin-walled aerospace components has roused much concern on more agile, digitized and cost-efficient precision manufacturing techniques, in particular, designing suitable machining plans according to the real shape of workpieces. To improve the machining accuracy of large thin-walled aerospace components, a methodology of three-dimensional machining allowance modeling and analysis is proposed in this paper. Firstly, the fundamental principles of 3D models matching and alignment between the casting blank and the design part are presented. And by datum transformation from virtual design references to real-world references on casting blanks which are accessible more easily, measuring, positioning and machining the casting blank will be more convenient to realize. Furthermore, the technical character of a large thin-walled aerospace component is considered and a technical framework for 3D machining allowance analysis is given. Finally, the proposed methodology is validated by an experimental study using a typical large thin-walled aerospace component of a hypersonic vehicle. Improvements in accuracy and efficiency performance are realized in comparison with traditional methods.
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Internal Mammary Sentinel Lymph Node Biopsy after Neoadjuvant Chemotherapy in Breast Cancer
Zhao Bi,Peng Chen,Jingjing Liu,Yanbing Liu,Pengfei Qiu,Qifeng Yang,Weizhen Zheng,Yongsheng Wang 한국유방암학회 2018 Journal of breast cancer Vol.21 No.4
Purpose: The definition of nodal pathologic complete response (pCR) after a neoadjuvant chemotherapy (NAC) just included the evaluation of axillary lymph node (ALN) without internal mammary lymph node. This study aimed to evaluate the feasibility of internal mammary-sentinel lymph node biopsy (IM-SLNB) in patients with breast cancer who underwent NAC. Methods: From November 2011 to 2017, 179 patients with primary breast cancer who underwent operation after NAC were included in this study. All patients received radiotracer injection with modified injection technology. IM-SLNB would be performed on patients with internal mammary sentinel lymph node (IMSLN) visualization. Results: Among the 158 patients with cN+ disease, the rate of nodal pCR was 36.1% (57/158). Among the 179 patients, the visualization rate of IMSLN was 31.8% (57/179) and was 12.3% (7/57) and 87.7% (50/57) among those with cN0 and cN+ disease, respectively. Furthermore, the detection rate of IMSLN was 31.3% (56/179). The success rate of IM-SLNB was 98.2% (56/57). The IMSLN metastasis rate was 7.1% (4/56), and all of them were accompanied by ALN metastasis. The number of positive ALNs in patients with IMSLN metastasis was 3, 6, 8, and 9. The pathology nodal stage had been changed from pN1/ pN2 to pN3b. The pathology stage had been changed from IIA/ IIIA to IIIC. Conclusion: Patients with visualization of IMSLN should perform IM-SLNB after NAC, especially for patients with cN+ disease, in order to complete lymph nodal staging. IM-SLNB could further improve the definition of nodal pCR and guide the internal mammary node irradiation.
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Integrated Analysis Method of Thin-Walled Turbine Blade Precise Machining
Hui Wang,Lijiang Huang,Chao Yao,Meng Kou,Wenyu Wang,Bohao Huang,Weizhen Zheng 한국정밀공학회 2015 International Journal of Precision Engineering and Vol. No.
Conventional turbine blade machining technology has to face some challenges on production efficiency, quality and environmental impact. So a new machining technical solution for thin-walled turbine blade is presented. Technical problems associated with the precise machining of turbine blade are discussed in detail. On the basis of analysis with existing demerits, we propose a new fixture optimization and precise machining schema for turbine blade. In the proposed technical methodology, geometric locating tolerance analysis and FEM based structural deformation prediction methods are integrated into one framework to improve the machining performance of thin-walled turbine blade. An automatic machining station of turbine blade is also developed. Promising technical capability of this system is demonstrated and validated by real machining experiments.
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