片语

deep-drawing process拉深工艺

deep-drawing ability深拉能力

deep-draw深拉

Deep-drawing Material深沖材料

deep-drawing property深沖性能

deep-drawing deformation拉深变形

deep-drawing properly深沖性能

cup deep-drawing方盒拉深

英汉例句

• formability of magnesium alloy (az31b) sheets can be investigated by thermal deep drawing experiments.

  镁合金（az31b）板材的成形性能可以通过热拉深试验来进行观察评估。

• recrystallization diagram of this alloy has been determined. the effect of degree of cold work and annealing temperature on deep drawing properties of the alloy are studied.

  测定了该合金的再结晶全图、冷加工变形度和再结晶退火温度对该合金深沖性能的影响；

• finite element models based on different lagrangian methods have been used to analyze the deep drawing process by the fe software, marc.

  采用有限元软件marc基于不同拉格朗日法建立了一个有限元模型来分析深沖压成形过程。

• deep drawing is a typical method to make uncork hollow part of thin wall, and this method is significantly important in the industrial practice.

  拉深成形是加工薄壁开口空心零件的典型方法，在沖压加工的实际生产中占有重要的地位。

• after being rolled in ferrite area, the if steel was proceeded once and twice cold rolling, then its deep drawing property was studied.

  研究了经铁素体区热轧后的if钢板坯在随后的一次冷轧和两次冷轧工艺中所表现出的深沖性能规律。

• then the cylinder deep drawing test with three different materials is carried out.

  而且还对三种材料进行了圆筒拉深实验。

• the optimum forming temperature range was determined, and the effects of blank holder forces on the workpiece quality were analyzed through the warm deep drawing experiments of magnesium alloy sheets.

  通过镁合金板材温热拉深试验确定适合板材成形的温度范围，分析了压边力对坯料成形质量的影响，选择适合成形的工艺条件来有效避免工艺缺陷的产生。

• a radial segmental blank-holder technique was proposed herein for axisymmetrical deep drawing process to improve blank-holder effect and raise the forming limit.

  为提高板材拉深成形的成形极限并获得更好的压边效果，提出了轴对称拉深成形工艺的径向分块压边方法。

• the experiment and numerical simulation results have proved this technology can exert forming limit of sheet greatly, it can form deep drawing parts direct…

  试验和模拟结果表明，应用固体颗粒介质成形工艺可以极大限度地发挥板料的成形性能，不需要任何辅助工序，可以一次成形深拉深件，且表面质量好，成品率高。

• the main deformation areas of the rectangular box in deep drawing were flanges and the circle-corners of female die in the corners.

  盒形件拉深主要变形区集中在盒形件角部的法兰和凹模圆角部位。

• deep drawing die design is a creative design process with a lot of knowledge and experiences of experts, and also a process of inheritance, integration, innovation and management of knowledge.

  拉深模具的设计是建立在设计专家丰富的知识与经验基础上的创造性思维过程，也是一个对知识的继承、集成、创新和管理的过程。

• this paper analyses and approaches the deep drawing explosive technology for sheet forming by means of an experiment with the flying terrace cover to have been formed in this way.

  通过飞行平台罩的爆炸成形实验，对薄板深拉延爆炸工艺进行了有效的分析和探讨。

• this paper analyses the characteristics of plastic forming on the alloy board with low-alloy and high-strength and expounds various factors of deep drawing technology.

  文章分析了低合金高强度合金板塑性变形的特点，论述了各种因素对拉深工艺的影响。

• the structural design of the hydraulic deep drawing die is described and compared with the hard die deep drawing in the paper.

  阐述了橡皮液压拉深模的结构设计并与硬模拉深做了对比。

• in the die design, the use of spherical punch made the process of deep drawing and reverse redrawing achieved in one set of mold and common hydraulic press.

  在进行模具设计时，采用半球形凸模等方式可以实现正、反拉深在一套模具，普通液压机上完成加工。

• the deep drawing process of az31 magnesium alloy rectangular parts was researched by numerical simulation and experiments.

  采用数值模拟和实验相结合的方法研究了az31镁合金板料分块压边力拉深矩形件的过程。

• the experimental results show that the fine-grained 5083 al alloy sheets have good deep drawing formability when temperature of female die is higher than 250℃.

  实验结果表明：细晶5083铝合金板料在凹模温度为250 ℃以上具有良好的拉深成形能力。

• parameters identification in intelligent deep drawing is a key technology.

  智能化拉深过程中材料性能参数实时识别是关键技术之一。

• the influence of the equivalent drawbead model to springback prediction is studied based on the drawbead test, the simulation of drawbead test and the simulation of deep drawing process.

  结合拉延筋试验、拉延筋试验的仿真以及拉深的仿真，研究了等效拉延筋模型对回弹预测结果的影响。结果显示，板料经过拉延筋后，出现材料硬化、变薄，并且有因横截面应力形成的力矩；

• the real-time identification via neural network is an important subject in intellectual deep drawing of sheet metal.

  运用神经网络技术实现材料性能参数的实时识别是智能化拉深的重要研究课题。