共查询到19条相似文献,搜索用时 796 毫秒
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基于VERICUT的数控加工仿真及优化 总被引:1,自引:0,他引:1
利用CATIA的Design模块获得CAD模型,通过加工工艺分析,设定加工参数,实现自动编程,获得VERICUT加工仿真所需的NC程序.本文通过"轴锥齿轮粗加工"的典型实例,展现了在VERICUT6.1.2环境下数控加工仿真优化的全过程,并运用机械设计的优化机理,说明其在仿真优化方面的优越性. 相似文献
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基于VERICUT的数控加工的优化 总被引:6,自引:0,他引:6
VERICUT由美国CGTECH公司开发,可运行于windows及UNIX平台的计算机上,具有强大的三维加工仿真、验证、优化等功能.基于VERICUT系统的优化设计方法,通过实例分析了基于VERICUT的优化设计全过程,取得了较好的优化效果,使该零件的加工工时比优化前节省了59%,从而提高刀具寿命和加工效率,这对于高速加工、高精度加工无疑也是有益的. 相似文献
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通过对数控程序的VERICUT仿真,介绍了使用VERICUT软件对数控程序进给速度参数的优化,以及优化后数控程序的比较与分析,最终得出加工效率较高的数控程序。 相似文献
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零件程序的检验方法有两种,一是让机床"空运行",二是"试切".这些只能对机床运动是否正确及有无干涉、碰撞做粗略估计且效率低.用Pro/E来实现对零件的自动编程和加工参数优化,然后用VERICUT进行加工仿真.通过对零件加工刀具轨迹和机床运动的加工仿真,可直观地看到NC程序中刀具路径的刀具动作和材料切除,验证加工质量和正确性,同时也直观地看到设计中产生的错误和加工过程中的冗余动作,有助于NC程序和加工工艺的优化. 相似文献
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基于VERICUT软件,以一种板类工件加工为例,研究了工件仿真加工与切削参数优化分析的全过程。应用VERICUT强大的仿真功能,实现刀轨仿真和机床仿真的同步显示,形象逼真地展现出机床加工的真实环境。经过分析加工切削参数,在软件内的程序优化模块进行相应参数设置,根据切削体积、切屑厚度的改变而改变走刀进给速度,实现加工程序的优化。优化后程序通过加工验证,使得工件整体加工时间缩短29.1%,加工出的零件也完全满足设计要求。为提高板类工件加工效率提供了一种有效方法。 相似文献
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介绍了VERICUT7.0.1软件的作用、功能及优点,通过实例,实现手动参数编程四轴联动的数控程序与仿真加工的一般步骤,阐明运用VERICUT软件在手动多轴数控编程与仿真加工中的实用性与重要性。 相似文献
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L. M. Torres-Treviño I. Escamilla B. Gonzalez R. Praga-Alejo P. Pérez-Villanueva 《The International Journal of Advanced Manufacturing Technology》2013,67(9-12):2351-2366
An analysis of a cutting machining process is made by manipulating equations generated by means of symbolic regression $\alpha $ - $\beta $ . This regression approach can generate mathematical models of any process considering only measured data. Usually a mathematical model is preferred over other approaches like linear regression or neural networks. As a practical case, a cutting machining process of Titanium 6Al-4V is modeled considering the absence and existence of cooling. An analysis of the surface of response is made to visualize the effects of the machining parameters on roughness. These plots could be useful to establish the machining parameters when a desirable roughness is expected. On the other hand, the mathematical models can be useful for prediction, simulation and optimization. 相似文献
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Off-line optimization on NC machining based on virtual machining 总被引:4,自引:3,他引:1
J. G. Li H. Zhao Y. X. Yao C. Q. Liu 《The International Journal of Advanced Manufacturing Technology》2008,36(9-10):908-917
Virtual machining, based-on the model of a machining system, aims to simulate, evaluate and optimize the actual machining process with high sense of reality. It provides digital off-line optimization tools for NC machining. Taking advantage of virtual machining used in machining process simulation, one can build the framework of optimization system on NC machining so that the processes of reliability verification, cutting parameter optimization and error compensation can be integrated into one system to improve machining processes comprehensively. The optimization is realized via modifying NC programs. Several key issues such as virtual machining, cutting parameters optimization, error prediction and compensation are also highlighted. Optimization systems based on virtual machining have been developed to demonstrate the effectiveness of off-line optimization for different purposes. The results show that the machining process is obviously improved. 相似文献
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虚拟加工平台的构建、数控加工程序的正确性验证及加工过程的仿真与优化及是五轴数控机床实现高效加工的重要基础技术。基于VERICUT数控加工仿真与优化平台,以非正交五轴数控机床DMC70ev为研究对象,构建了数控加工仿真平台;以曲面加工为例,建立了基于恒定体积去除率和恒定切屑厚度的优化设计数学模型,进行了刀位轨迹的优化。应用表明:研究成果实现了五轴数控加工过程仿真及数控加工程序的正确性验证,减少了刀具磨损,提高了加工效率与加工质量,可以较好地提升企业数控加工技术的应用水平、应用质量,推动现代制造技术的发展。 相似文献
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为提升电火花加工TC4钛合金的表面加工质量和加工效率,选取紫铜圆柱电极开展TC4钛合金电火花小孔加工试验,采用正交试验法,以电极相对损耗率、表面粗糙度、工件材料去除体积为工艺指标,分析峰值电流、维持电压、放电脉宽对工艺指标的影响重要性。采用RBF(Radial basis function)神经网络对已有试验数据进行训练,建立放电参数与工艺指标之间的数学预测模型。以该预测模型为适应度函数,将遗传算法与Skyline选择算法结合进行多目标优化仿真,得到最佳工艺指标,最后开展多目标优化验证试验。结果表明:当峰值电流为14 A、维持电压39 V/42 V、放电脉宽102μs/108μs时能够取得最优的加工结果,优化值与试验值误差较小。 相似文献
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Qiulian Wang Fei Liu Xianglian Wang 《The International Journal of Advanced Manufacturing Technology》2014,71(5-8):1133-1142
This paper deals with multi-objective optimization of machining parameters for energy saving. Three objectives including energy, cost, and quality are considered in the optimization model, which are affected by three variables, namely cutting depth, feed rate, and cutting speed. In the model, energy consumption of machining process consists of direct energy (including startup energy, cutting energy, and tool change energy) and embodied energy (including cutting tool energy and cutting fluid energy); machining cost contains production operation cost, cutting tool cost, and cutting fluid cost; and machining quality is represented by surface roughness. With simulation in Matlab R2011b, the multi-objective optimization problem is solved by NSGA-II algorithm. The simulation results indicate that cutting parameters optimization is beneficial for energy saving during machining, although more cost may be paid; additionally, optimization effect on the surface roughness objective is limited. Inspired by the second result, optimization model eliminating quality objective is studied further. Comparing the non-dominated front of three-objective optimization with the one of two-objective optimization, the latter is proved to have better convergence feature. The optimization model is valuable in energy quota determination of workpiece and product. 相似文献