• 结果显示,微米级长薄片木纤维切削功率较低。

    Calculation result demonstrates the energy consumption for preparing micron flake wood fiber is low.

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  • 介绍了一种用频率跟踪法测量木工机床切削功率的新方法。

    Introduced a kind of new method by means of frequency track method to measure cutting power of woodworking machines.

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  • 通过测试底刀的反作用力来计算不同参数情况下切削功率。

    Though test the reacting force of base blade to calculate the cutting power in different circumstances.

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  • 在从事机械加工工艺方案拟定、机床和刀具设计等工作时,都离不开对切削功率的估计。

    Engaging at the programme of machining processing technic, the designing work of machine tools and bit tools can not be separated from the cutting power.

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  • 运用该原理编制的计算机程序可以计算各切削齿的切削面积、切削体积、切削速度、切削力和切削功率等。

    By means of the program established according to the above-mentioned principle, the cutting area, cutting volume, cutting speed, cutting force and cutting power of every tooth can be computed.

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  • 本文对铣刨轮工况进行了数学建模分析,发现影响其切削功率的主因素是刀具排列布置和刀具的主参数等。

    The article constructs a mathematic model and analyzes referring to working status of the milling wheel, find that some issues are tactic rule and important parameter affecting power about wheel.

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  • 提出由切削用量库、刀具几何角度库、切削液库和单位切削功率库基本构成金属切削数据库,给出了它们的关系模式。

    Proposed that a metal cutting database is basically composed of databases of cutting data, tool geometry angles, cutting fluid and unit cutting power.

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  • 提出由切削用量库、刀具几何角度库、切削液库和单位切削功率库基本构成金属切削数据库,给出了它们的关系模式。

    Proposed that a metal cutting database is basically composed of databases of cutting data, tool geometry angles, cutting fluid and unit cutting power. Relation models of them are presented as well.

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  • 在变切削参数的加工工况下,通过对振动信号的采集和频域处理,发现采用单一的自功率谱方法难以有效检测出刀片破损。

    Through collecting vibration signal and analyzing it in the frequency domain in the condition of changing parameter cutting, a single self power spectrum is hard to detect tool breakage effectively.

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  • 为了知道什么时侯该换刀具,大部分现代机床都安装了指示器来显示切削加工所耗的功率。

    In order to detect the time when a cutting tool should be changed, most modern machines are equipped with indicators that show the horsepower used during the machining operation.

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  • 切削力又对计算功率消耗,机床、刀具、夹具的设计,对优化刀具几何参数等,都有非常重要的意义。

    Also the calculation of power consumption, cutting force, machine tools, cutting tools, fixture design and tool optimization of geometrical parameters, cutting force has a very important significance.

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  • 刮削残余应力与刮削功率及切削力之间的函数关系,可用作汽车齿轮制造中监测刮削残余应力状态的参考依据。

    The functional relation of the residual stresses and the skiving power and force can be applied to monitor the residual stresses pattern of automotive gears during the skiving process.

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  • 刀具寿命相对消耗量是利用功率信号、泰勒公式、切削工艺参数库以及在线获取的实际切削时间来获取的。

    The RCI of tool life is obtained by the power signal, the Taylor formula, the database of cutting parameters and cutting time.

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  • 以声发射、功率监控和改进的神经网络技术,借助刀具监控软件,识别刀具切削工作的正常和失效状态。

    Based on acoustic emission, power monitoring and improved neural network technology and using cutting tool monitoring software, the normal or abnormal condition of cutting tools can be identified.

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  • 机床的切削效率往往不是由机床的功率、机床所能承受的最大载荷所决定,而是由机床切削时发生自激振动的条件所决定。

    It is well-known that machining efficiency doesn't depend on the machine power and the load which machine can bear, but depends on the condition in which self-excited vibration appears.

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  • 采用机床主电动机功率法和声发射(AE)法来获取切削过程中发出的刀具磨损和破损信号,建立了刀具状态试验系统。

    Experiments were implemented to obtain the motor power and AE signals under different cutting parameter condition(cutting velocity, feed velocity and cutting depth), tool wear and breakage conditions.

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  • 传统的钛合金加工工艺因其切削速度低、刀具耐用度低、机床功率不足的缺陷,导致了加工效率低。

    In the traditional titanium alloy process the cutting efficiency is lower, this is because both cutting speed and tool life are lower and machine power is not enough.

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  • 由于传统的切削用量选择方法的局限性,数控机床的功率不能被充分发挥,这使得数控加工这种高费用的加工手段变得更加昂贵。

    Numerical control machine power doesn't fully utilized because the traditional approach for selecting machining parameters is conservative. Hence, this produces higher cost.

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  • 由于传统的切削用量选择方法的局限性,数控机床的功率不能被充分发挥,这使得数控加工这种高费用的加工手段变得更加昂贵。

    Numerical control machine power doesn't fully utilized because the traditional approach for selecting machining parameters is conservative. Hence, this produces higher cost.

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