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国家自然科学基金(50905144)

作品数:18 被引量:197H指数:9
相关作者:杨合李恒田玉丽詹梅王泽康更多>>
相关机构:西北工业大学成都飞机工业(集团)有限责任公司成都飞机工业集团更多>>
发文基金:国家自然科学基金高等学校学科创新引智计划西北工业大学基础研究基金更多>>
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18 条 记 录,以下是 1-10
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塑性成形中摩擦的研究进展和发展趋势(英文)被引量:8
2014年
塑性成形中的摩擦是影响成形力、材料变形、成形质量和模具寿命的关键因素,也是受到多因素影响的高度非线性的物理问题,国内外学者在塑性成形摩擦机理研究和摩擦控制等方面做了大量的研究。从四方面总结和讨论塑性成形中摩擦的研究进展,分别是:摩擦测试方法、摩擦行为表征、摩擦模型以及摩擦优化/控制。并基于航空航天和汽车等高技术领域对高性能轻量化复杂构件的绿色、高效和精确成形制造的迫切需求,提出塑性成形中摩擦研究的发展趋势和挑战。
王丹杨合李恒
关键词:塑性成形润滑
6061-T4大直径薄壁管数控弯曲壁厚变化实验研究被引量:12
2012年
为实现6061-T4大直径薄壁铝管数控弯曲精确成形,提高其成形极限与质量,需对弯曲过程中壁厚变化进行有效控制.本文以该材料Φ50.8 mm×0.889 mm×101.6 mm(直径D×壁厚t×弯曲半径R)薄壁铝管为研究对象,实验研究了弯曲角度、芯棒伸出量、芯球个数、弯曲速度等可控参数对壁厚的影响规律.研究结果表明:在整个弯曲段内,中性层并不是均匀地发生等距离偏移,中性层偏移量(E)与内外脊线壁厚变化率差值(η)存在线性关系,E随η的增大而增大;增大弯曲角度、芯棒伸出量、弯曲速度都导致内外脊线壁厚变化程度加重,管材壁厚变化不均匀度加剧;芯球个数对壁厚的影响呈非线性;基于优化的工艺参数组合,成功获得最大壁厚减薄率为22%的180°合格弯曲管件.
田玉丽杨合李恒逯若东王泽康
关键词:数控弯曲壁厚变化
6061-T4薄壁铝合金管数控弯曲回弹规律(英文)被引量:5
2012年
以规格为50.8mm×0.889mm(管材外径×管材壁厚)的高性能薄壁6061-T4铝合金管为对象,采用单因素实验分析和基于全过程三维有限元模拟的正交方法,获得多个弯曲成形参数对6061-T4薄壁铝合金管数控弯管回弹的影响。结果表明:1)弯管回弹角随弯曲角度的增大而总体呈线性增大;2)影响弯管回弹的显著性因素从高到低排列为:芯棒管材间隙,弯曲半径,压模管材摩擦,防皱块管材间隙,压模管材间隙,助推速度,芯模管材摩擦和芯球个数;3)显著性成形参数对回弹的影响规律与不锈钢和钛合金相似:回弹角随弯曲速度、芯棒管材间隙、相对弯曲半径、防皱模管材间隙、压力模摩擦系数、压力模相对助推速度的增大而增大,随芯棒伸出量、芯球个数和芯棒摩擦系数的增大而减小。
李恒师开鹏杨合田玉丽
关键词:回弹铝合金管弯管绕弯有限元
薄壁纯钛管数控弯曲成形性能研究(英文)被引量:4
2018年
研究了薄壁纯钛(CP-Ti)管在不同弯曲半径和不同材料性能下的多缺陷约束数控弯曲成形性能,通过显式/隐式三维有限元模型和实验研究了先进轻量化材料CP-Ti的成形潜力。结果表明:管材的硬化指数、厚向异性指数和杨氏模量的变化对弯曲成形性能有很大影响;与壁厚减薄和截面畸变相比,失稳起皱是抑制大直径薄壁CP-Ti管弯曲成形性能的主要缺陷。升高温度可以提高CP-Ti管的弯曲成形性能,特别是抗起皱性能。
李光俊杨恒许旭东李恒杨合
关键词:材料性能
大口径薄壁纯钛管数控热弯内外侧的塑性变形机制(英文)被引量:2
2014年
为了发展大直径薄壁纯钛管数控加热弯曲技术,实验研究了大口径薄壁CP-3管材在不同温度下数控弯曲后的内外侧塑性变形机制。通过EBSD分析和维氏显微硬度测试方法,对数控弯曲温度293、423和573 K下弯管件试样弯曲外侧受拉区域以及弯曲内侧受压区域进行显微组织变化和维氏硬度分析。结果表明:1)在不同温度下数控弯曲变形后,弯管外侧塑性变形机制主要为滑移,孪生变形微弱,择优取向类似于初始管材的;弯管内侧塑性变形机制主要以{1 012}孪晶为主,滑移为辅助机制,且孪晶使管壁材料择优取向产生剧烈转变。2)维氏硬度的变化与塑性变形机制及织构有关。弯曲变形后,管材试样内外侧轴向与周向的维氏硬度值均显著得到提高,且管材试样内侧的维氏硬度值要明显高于外侧的,周向的维氏硬度值高于轴向的。
张晓丽杨合李恒张志勇李龙
关键词:织构孪晶塑性变形机制
大口径316L不锈钢管数控弯曲回弹规律研究被引量:15
2012年
针对Φ123 mm×3.97 mm×350 mm规格的大口径316L厚壁不锈钢管,基于显/隐式弹塑性有限元仿真结合实验研究,对其数控弯曲卸载后的回弹现象进行了研究.采用单向拉伸试验和三维数字散斑动态应变测量方法获得了大口径316L不锈钢管大应变范围(真应变为49.02%)的力学性能参数,通过摩擦磨损实验获得管材316L不锈钢与45钢模具材料在不同压力和转速条件下的摩擦系数.基于ABAQUS平台,建立了大口径316L不锈钢管弯曲、抽芯、卸载回弹全过程数控弯曲有限元模型,并实验验证了所建模型的可靠性.研究表明,大口径316L不锈钢管回弹现象显著,在350 mm弯曲半径(相对弯曲半径D/t为2.846)条件下达到7.2°左右.芯棒伸出量e、芯球个数n和弯曲角度θ对卸载回弹有显著影响.
王泽康杨合李恒任宁逯若东田玉丽
关键词:回弹大口径数控弯曲
‘Size effect’ related bending formability of thin-walled aluminum alloy tube被引量:16
2013年
Aluminum alloy (Al-alloy) thin-walled (D/t > 20, diameter D, wall thickness t) bent tubes have attracted increasing applications in many industries with mass quantities and diverse specifications due to satisfying high strength to weigh ratio requirements of product manufacturing. However, due to nonlinear nature of bending with coupling effects of multiple factors, the similarity theory seems not applicable and there occurs a challenge for efficient and reliable evaluation of the bending formability of thin-walled tube with various bending specifications. Considering the unequal deformation and three major instabilities, the bending formability of thin-walled Al-alloy tube in changing tube sizes such as D and t are clarified via both the analytical and FE modeling/ simulations. The experiments of rotary draw bending are conducted to validate the theoretical models and further confirm 'size effect' related bending formability. The major results show that (1) The anti-wrinkling capability of tube decreases with the larger D and smaller t, and the effect significance of t is larger than that of D even under rigid supports; (2) The wall thinning increases with the larger D and smaller t, and this tendency becomes much more obvious under rigid supports; (3) The cross-section deformation increases with the larger D and smaller t according to the analytical model obtained intrinsic relationship, while this tendency becomes opposite due to the nonlinear role of mandrel die; (4) The size factor D/t can be used as a nondimensional index to evaluate both the bending formability regarding the wall thinning and cross-section deformation.
Li HengYang HeZhang ZhiyongWang Zekang
关键词:尺寸效应铝合金管薄壁管
基于显著性的薄壁铝合金管小弯曲半径数控弯曲工艺参数优化(英文)被引量:11
2012年
薄壁铝合金管小弯曲半径数控弯曲是个多因素耦合、多模具约束下的复杂过程。提出以有限元模拟为基础,基于显著性的工艺参数优化方法,即采用析因因子设计分析工艺参数对成形质量,即最大壁厚减薄率和最大截面畸变变化率影响的显著性,获得影响显著的参数,即管与防皱模间间隙的最优值,并确定其他影响不显著的参数值,包括管与模具间的间隙和摩擦、芯棒伸出量和助推速度。结果应用于规格为d50mm×1mm×75mm和d70mm×1.5mm×105mm(管外径D0×管壁厚t0×弯曲半径R)的铝合金管弯曲,获得了合格的管件。
许杰杨合李恒詹梅
关键词:有限元数控弯曲工艺参数小弯曲半径
Geometry-dependent springback behaviors of thin-walled tube upon cold bending被引量:10
2012年
As one kind of key lightweight components with enormous quantities and diversities, the bent tubular parts have attracted in- creasing applications in aerospace, automobile, etc. Thus, how the inevitable springback behaves under different bending specifications should be fully addressed to efficiently achieve the precision forming of various bent tubes. Taking the medium strength thin-walled 6061-T4 Al-alloy tube as the objective, via the deformation theory of plasticity, explicit/implicit FE method and experimental approaches, we explored and clarified the nonlinear springback rules of the tubes and corresponding mechanisms in universal rotary draw bending regarding angular springback and radius growth by deliberately changing the tube diameter D and wall thickness t. The geometry dependent springback behaviors of thin-walled tube upon cold bending are thus revealed: 1) With the increasing of D, the tangent tensile strain increases and the proportional coefficient decreases, which causes the angular springback to decrease, while the radius springback increases due to the larger bending radius. 2) With the increasing of t, the tangent tensile strain decreases and the proportional coefficient increases, resulting in the increase of both angular springback and radius springback. 3) Under the same D/t, the angular springback varies little, while the radius springback increases with the larger diameter D. 4) The D/t can be used as a reasonable nondimensional index to evaluate the springback angle; as to the radius growth, the individual effects of the D and t should be considered. 5) The verification of the above results was conducted by experiments and analytical analysis.
LI HengYANG HeTIAN YuLiLI GuangJunWANG ZhengHua
关键词:回弹角薄壁管几何相
Constitutive modeling of compression behavior of TC4 tube based on modified Arrhenius and artificial neural network models被引量:5
2016年
Warm rotary draw bending provides a feasible method to form the large-diameter thin-walled(LDTW)TC4 bent tubes, which are widely used in the pneumatic system of aircrafts. An accurate prediction of flow behavior of TC4 tubes considering the couple effects of temperature,strain rate and strain is critical for understanding the deformation behavior of metals and optimizing the processing parameters in warm rotary draw bending of TC4 tubes. In this study, isothermal compression tests of TC4 tube alloy were performed from 573 to 873 K with an interval of 100 K and strain rates of 0.001, 0.010 and0.100 s^(-1). The prediction of flow behavior was done using two constitutive models, namely modified Arrhenius model and artificial neural network(ANN) model. The predictions of these constitutive models were compared using statistical measures like correlation coefficient(R), average absolute relative error(AARE) and its variation with the deformation parameters(temperature, strain rate and strain). Analysis of statistical measures reveals that the two models show high predicted accuracy in terms of R and AARE. Comparatively speaking, the ANN model presents higher predicted accuracy than the modified Arrhenius model. In addition, the predicted accuracy of ANN model presents high stability at the whole deformation parameter ranges, whereas the predictability of the modified Arrhenius model has some fluctuation at different deformation conditions. It presents higher predicted accuracy at temperatures of 573–773 K, strain rates of 0.010–0.100 s^(-1)and strain of 0.04–0.32, while low accuracy at temperature of 873 K, strain rates of 0.001 s^(-1)and strain of 0.36–0.48.Thus, the application of modified Arrhenius model is limited by its relatively low predicted accuracy at some deformation conditions, while the ANN model presents very high predicted accuracy at all deformation conditions,which can be used to study the compression behavior of TC4 tube at the temperature range of 573–873 K and the strain rate of 0.001–0
Zhi-Jun TaoHe YangHeng LiJun MaPeng-Fei Gao
关键词:人工神经网络模型钛合金管TC4温度范围
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