共查询到16条相似文献,搜索用时 140 毫秒
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精铸蜡型作为空心涡轮叶片精铸过程重要的前期工艺转接件,其壁厚精度主要由蜡型模具型腔与内部陶芯的位置匹配关系决定。由于陶芯在模具内完全依靠定位元件实现空间定位,为减小由定位误差引起的陶芯位姿漂移,提出了一种基于力平衡约束的空心涡轮叶片精铸模具陶芯定位布局优化方法。首先,通过建立陶芯定位误差传递模型,揭示了定位误差与陶芯空间位姿扰动量之间的映射关系;其次,根据力平衡原理构建了基于力约束的陶芯定位布局优化模型;之后,针对陶芯表面定位候选点的离散分布特性,结合遗传算法给出了陶芯定位布局点的详细求解策略。最后,仿真对比证明了利用本文所提方法获得的陶芯定位方案可以在保证陶芯定位稳定性的同时提高陶芯定位精度,此外,按照优化后的定位方案压制实际蜡型,壁厚检测结果也进一步表明所提方法的有效性。 相似文献
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陶芯弯扭变形直接关系到空心叶片的壁厚尺寸分布,为克服当前陶芯弯扭变形的计算中测量数据与理论模型三维配准、陶芯截面轮廓线提取或拟合的过程算法复杂、收敛速度慢、效率低等问题,提出了一种通过测量数据点直接计算陶芯弯曲度和扭曲度误差的算法,该算法不需要三维配准和提取陶芯外轮廓线,通过距离权值法计算陶芯弯曲度,凸包算法计算陶芯扭曲度,能大幅提高计算效率。仿真与实验结果表明:该算法弯曲变形计算精度为99.55%,与二维配准算法相差±0.01mm;扭曲变形计算精度为99.98%,与二维配准相差±0.006°。 相似文献
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结合内径为60mm的等壁厚爆震室,建立其有限元模型并施加真实爆震载荷,确定其疲劳载荷谱类型为周期性常幅谱。通过有限元模型和静态载荷作用下的解析模型分析得出爆震室壁厚和动力放大系数之间的相互影响关系,壁厚通过动力放大系数对自身进行调整,该过程中内壁的等效应力最大值逼近目标应力,以此为基础提出爆震室等寿命设计方法。根据计算结果设计加工变壁厚爆震室试验段,通过试验测量变壁厚爆震室外壁3个测点的应变,并估算3个测点内壁处的疲劳寿命,发现3个疲劳寿命最大误差为8.82%,考虑到试验与数值计算的工况误差可认为3个测点处寿命相同,验证了爆震室等寿命设计方法的正确性。 相似文献
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针对涡轮盘腹板理论点厚度的直接测量,测试 测具不能检测出厚度尺寸,壁厚卡钳无法完成多处的定点测量问题。介绍一种新型的千分尺测具,通过一些简单调整,即可完成定位、直接测量厚度尺寸。 相似文献
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As an important index affecting the aerodynamic performance and the structural strength of hollow turbine blades, the wall-thickness precision of the blade is mainly inherited from the positional relationship between the corresponding wax pattern and the internal ceramic core. However, due to locating errors, the actual position of ceramic core is always deviated from the ideal position, which makes it difficult to guarantee the wall-thickness precision of the wax pattern. To solve this problem, a wall-thickness compensation strategy is proposed in this paper. Firstly, based on the industrial computed tomography (ICT) technique and curve matching algorithms, a model reconstruction method is developed, with which the 3D model of a trial wax pattern can be easily constructed. After that, focusing on eliminating the wall-thickness errors of the trial wax pattern, an optimization method for the pose of the ceramic core in the wax pattern is proposed. Then, by mapping the optimal pose of the ceramic core to length adjustments of the locating rods, the wall-thickness errors of the wax pattern can be greatly reduced. A case study is also given to illustrate the effectiveness of the proposed compensation strategy. 相似文献
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王宏伟%李庆芬%朱兆军%魏尊杰 《宇航材料工艺》2007,37(4):42-45
采用融熔沉积快速成形法制备钛金属蜂窝结构材料,对粉浆制备、钛金属蜂窝结构蜡坯固化、脱蜡等工艺以及所制备的钛蜂窝体的压缩性能进行了研究.结果表明,采用融熔沉积快速成形可以制备钛金属蜂窝结构,工艺简单、尺寸可控,钛蜂窝结构的相对密度在9%~12.6%范围内,屈服强度和弹性模量的增加不大;相对密度超过12.6%后,屈服强度显著增加,但弹性模量增加的幅度不大.通过改变蜂窝体正六边形的边长或改变蜂窝体的壁厚均达到相同的相对密度条件下,蜂窝体的压缩强度差别不大,但对蜂窝体的弹性模量却有显著影响. 相似文献
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《中国航空学报》2021,34(6):162-177
In the manufacturing of thin wall components for aerospace industry, apart from the side wall contour error, the Remaining Bottom Thickness Error (RBTE) for the thin-wall pocket component (e.g. rocket shell) is of the same importance but overlooked in current research. If the RBTE reduces by 30%, the weight reduction of the entire component will reach up to tens of kilograms while improving the dynamic balance performance of the large component. Current RBTE control requires the off-process measurement of limited discrete points on the component bottom to provide the reference value for compensation. This leads to incompleteness in the remaining bottom thickness control and redundant measurement in manufacturing. In this paper, the framework of data-driven physics based model is proposed and developed for the real-time prediction of critical quality for large components, which enables accurate prediction and compensation of RBTE value for the thin wall components. The physics based model considers the primary root cause, in terms of tool deflection and clamping stiffness induced Axial Material Removal Thickness (AMRT) variation, for the RBTE formation. And to incorporate the dynamic and inherent coupling of the complicated manufacturing system, the multi-feature fusion and machine learning algorithm, i.e. kernel Principal Component Analysis (kPCA) and kernel Support Vector Regression (kSVR), are incorporated with the physics based model. Therefore, the proposed data-driven physics based model combines both process mechanism and the system disturbance to achieve better prediction accuracy. The final verification experiment is implemented to validate the effectiveness of the proposed method for dimensional accuracy prediction in pocket milling, and the prediction accuracy of AMRT achieves 0.014 mm and 0.019 mm for straight and corner milling, respectively. 相似文献
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