spline key 中文意思是什麼
spline key
解釋
花鍵-
For motor shafts, the highest stress is at the boundary between the key groove and the ring groove ; the next one is at bottom and terminal of the spline. according to the results, the 17. 4mm shaft is insecurity, the 22. 2mm and 30. 2mm shafts are security
在軸的安全性上，對17 . 4mm泵軸計算結果是不安全的；對22 . 2mm泵軸計算結果是安全的；對30 . 2mm電機軸計算結果是安全的，而且還有較大的功率輸出空間。 -
For the 30. 2mm shaft, there are still larger over measure to load. the strength is increased by optimization. for ? 17. 4mm shaft, the strength is increased by enlarge the inner dimension of the spline ; for 30. 2mm shaft, the strength is increased by adjust the structure at the boundary between the key groove and the ring groove, the highest stress of the shaft is at bottom and terminal of the spline after optimization
其中對17 . 4mm泵軸的優化，通過增大花鍵內徑，提高了花鍵齒底的強度，降低了應力集中點附近的應力；對30 . 2mm電機軸的優化，通過在軸承鍵的環槽端增加倒角，有效降低了該位置的應力集中，使軸的最大應力點從軸承鍵與環槽的交界處轉變到花鍵根部與收尾的交界處，提高了電機軸整體結構強度的合理性。 -
B - 3 spline and reversed b - 3 spline is adopted to construct the outer figure of fashion parts. the key points are also defined to support the rigging of fashion parts. the two main modules - style input module and the intelligent rigging module are also described in details
採用三次b樣條曲線和反算三次b樣條曲線來構造款式部件的外輪廓；定義部件關鍵點支持部件的拼接；對構成智能款式設計的兩大模塊?款式輸入模塊和智能拼接模塊，給出了設計要求和實現效果。 -
This process is as follows : firstly, the data of different section contour and of section line have been obtained by reverse - engineering ; secondly, non - uniform b - spline approximation algorithm is used to fit the discrete data ; then the data have been optimized and reduced by adopting adaptive sampling of key points of the fitted curve based on vertical distance, sequently the adaptive sampling data is transformed into the format of the. ibl file of the famous 3 - d design software pro / e. therefore we reconstruct the surface and a model is generated ; lastly, the effectiveness of the adopted algorithm and modeling approach are demonstrated by the experiments
建模型的過程中，首先運用逆向工程測量方法，獲得曲面物體上不同截面輪廓線的測量數據點列，接著對測量數據點進行平滑處理，用最小二乘法求解基於數據點列的控制多邊形，以非均勻三次b樣條曲線擬合截面輪廓曲線；然後利用基於垂距的數據采樣演算法，對擬合曲線上的數據點進行重新采樣，達到優化數據點的分佈及減少描述曲線數據量的目的。 -
Several key techniques of carving and milling machine cnc system are deeply studied they include : the transformation, data rebuild and interface design of huge volume nc program produced by cam ; the algorithm of cubic parametric spline pre _ interpolation and high speed real time interpolation in the cnc system, which. will gain a much higher surface precision and cutting speed ; methodology and algorithm of movement velocity acceleration control on a real time forecast _ and _ prejudge basis is designed. therefore, a smooth movement is insured. the shake and noise problem caused by non _ uniform pules for driving stepping or servo motor is solved by an improving algorithm to generate uniform pules
同時，本文對基於統一的pc平臺的雕銑機數控系統中的幾項關鍵技術進行了深入的研究，包括： cam生成加工程序的傳送、接收、讀取及其加工鏈表的生成和實時重構；對cam生成的離散數據進行三次參數樣條插值和基於累加弦長的三次參數樣條插補控制，保證加工工件表面的精度和光順性；設計具有「前瞻」功能的自動升降速控制方法，保證加工過程的平穩性；通過脈沖均勻化，有效地解決加工過程中因為脈沖不均勻而引起的震動問題。 -
Free form surface reconstruction is a key step in reverse engineering cad modeling. on the basis of segmentation, an approach of b - spline surface reconstruction with complicated boundary constraints is addressed
基於復雜邊界約束和內部散亂逼近的b樣條曲面重構理論和技術的研究是本文的一個重點和創新之處。 -
The parts reverseeng ineering deals with mostly have freeform surfaces. the regeneration of the free form surfaces is the main task of reverse engineering. in this paper some key techniques for nurbs surface reconstruction in reverse engineering such as b - spline curve fitting, b - spline surface fitting to scattered data, b - spline surfa ce fitting to contour data and b - spline curve fairing are studied
本文研究了逆向工程中b樣條曲面重構的關鍵技術，包括b樣條曲線的擬合、散亂數據的b樣條曲面擬合、逐層掃描數據的b樣條曲面擬合以及b樣條曲線的光順。 -
So, the research of cad model reconstruction from scattered point cloud should be carried out urgently. the main key techniques contents of surfaces reconstruction from scattered point cloud data include data pre - processing, such as denoising data 、 filling holes and simplifying data, segmenting data, producing quadrilateral domains, and fitting b - spline surfaces
本文直接以測量獲得的散亂點雲數據為對象，研究了點雲數據的幾何特性計算、平滑處理、孔洞修補、數據簡化等，在此基礎上，進一步研究了點雲數據分塊、四邊界區域劃分及曲面擬合。
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