通过考虑机床和工件的实际约束，建立了以最大生产率为目标的切削参数数学模型。
By considering the actual constraints of machining tool and workpiece, the mathematic model of cutting parameters for the greatest productivity is established.
优化模块是以最小化周期时间或以基于服从工件质量约束校正模型后的周期时间为目标来确定磨削和修整参数。
Optimization is used to identify grinding and dressing parameters to minimize or target cycle time based on the calibrated models subject to workpiece quality constraints.
对于参数曲面，采用先离散，再重新拟合的处理方法，建立统一的双三次参数样条曲面通用工件模型。
The input parametric surfaces are discrete, then we will get new surfaces with bicubic parameter spline function and build uniform workpiece model.
模型考虑了工件材料的热物理性质随温度的变化以及处理参数的影响。
The model deals with the variety of material's thermal-physical properties, the parameters of plasma-arc treatment.
该模型能根据磨削条件和工件参数的变化，不断地调整磨削参数。
The model can adjust the grinding parameters according to the variation of the grinding conditions and the workpiece parameters.
在定义了数据结构和变量数组的基础上，给出了参数自学习过程算法，改善了模型样机对不同规格样本工件的适应性。
A parameter self-learning algorithm is presented after defining data structure and variable array to improve the prototype's adaptability to different size of workpieces.
通过二次开发AUTOCAD参数化设计马鞍型焊缝曲线工件的三维模型。
The mathematic model of seam is built up based on the re-exploit of AUTOCAD.
通过二次开发AUTOCAD参数化设计马鞍型焊缝曲线工件的三维模型。
The mathematic model of seam is built up based on the re-exploit of AUTOCAD.
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