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Topology optimization of partial constrained layer damping treatment on plate for maximizing modal loss factors 极大化模态损失因子的板上局部约束层阻尼处理拓扑优化
Pub Date : 2021-01-01 DOI: 10.1177/26349833211034879
Ronggeng Chen, Haitao Luo, Hongguang Wang, Weijia Zhou
Constrained layer damping treatment is widely used to suppress the vibration and noise of thin-walled structures. However, full coverage of constrained damping layer will increase unnecessary additional mass, resulting in material waste and cannot effectively improve the damping performance of the composite structure. In this article, a topology optimization approach is proposed to realize the optimal distribution of constrained damping layer. The design objective is to maximize modal loss factors solved by the modal strain energy method under the constraint of volume. Taking the relative density of the finite element of the constrained damping layer as design variable, the solid isotropic material with penalization method is used to realize the optimal topological distribution of the damping material on the surface of the metal substrate. Then the moving asymptote method is adopted as an optimizer to search the optimal layout of the constrained damping layer. Based on a modified modal superposition method, the sensitivities of the objective function with respect to the design variables are obtained. Numerical examples and experiments are presented for illustrating the validity and efficiency of this approach. The results show that the objective function converges to the optimal value smoothly, and the optimized modal loss factors have been significantly improved. The layouts of the constrained damping layer after optimization are clear and reasonable, and its distributions are affected by both the damping layer and the constraining layer. Each part of the constrained damping layer after optimizing can greatly improve the damping performance of the structure.
约束层阻尼处理被广泛用于抑制薄壁结构的振动和噪声。但是,约束阻尼层的全覆盖会增加不必要的附加质量,造成材料浪费,不能有效提高复合材料结构的阻尼性能。本文提出了一种拓扑优化方法来实现约束阻尼层的最优分布。设计目标是在体积约束下用模态应变能法求解的模态损失因子最大化。以约束阻尼层有限元的相对密度为设计变量,采用惩罚法的固体各向同性材料实现了阻尼材料在金属基板表面的最优拓扑分布。然后采用移动渐近线法作为优化器搜索约束阻尼层的最优布局。基于改进的模态叠加法,得到了目标函数相对于设计变量的灵敏度。通过数值算例和实验验证了该方法的有效性和有效性。结果表明,目标函数平滑收敛到最优值,优化后的模态损失因子得到显著改善。优化后的约束阻尼层布局清晰合理,其分布受阻尼层和约束层的共同影响。优化后的约束阻尼层各部分都能大大提高结构的阻尼性能。
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引用次数: 2
Mechanical properties and dissipation energy of carbon black/rubber composites 炭黑/橡胶复合材料的力学性能及耗散能
Pub Date : 2021-01-01 DOI: 10.1177/26349833211005476
R. Chollakup, Supitta Suethao, P. Suwanruji, J. Boonyarit, W. Smitthipong
The effects of carbon black on the properties of rubber composites were studied in order to explore their value in producing low rolling resistance truck tires. Carbon black with different grades, N330 (coarser grade of 26–30 nm) and N220 (finer grade of 20–25 nm), was used as a reinforcing agent of natural rubber. The effects of different ratios of carbon black N330 at 40, 45, 50 and 55 parts per hundred rubber (phr) and N220 at 30, 35, 40 and 50 phr were investigated. Rubber composites with N220 had greater rubber/carbon black interaction than those with N330. The Mooney viscosity of rubber composite increased when the carbon black ratio increased. After vulcanisation of rubber, the samples were characterised by dynamic mechanical analysis, tensile strength and heat build-up. The results showed that the strength of rubber composites increased with increasing carbon black ratios. Interestingly, at the same bound rubber level, rubber composites with N220 presented lower dissipation energy, heat build-up and better mechanical properties than those with N330. This study indicated that reinforcement with an optimum amount of carbon black N220 would improve several desirable characteristics of rubber composites when used in low rolling resistance truck tires.
通过研究炭黑对橡胶复合材料性能的影响,探讨其在低滚动阻力载重轮胎生产中的应用价值。用N330(粗级26 ~ 30 nm)和N220(细级20 ~ 25 nm)不同牌号的炭黑作为天然橡胶补强剂。研究了不同配比的炭黑N330(40、45、50、55)和N220(30、35、40、50)的影响。添加N220的橡胶复合材料与炭黑的相互作用大于添加N330的橡胶复合材料。随着炭黑比的增大,橡胶复合材料的穆尼粘度增大。橡胶硫化后,通过动态力学分析、拉伸强度和热积聚来表征样品。结果表明,随着炭黑掺量的增加,橡胶复合材料的强度有所提高。有趣的是,在相同的结合胶水平下,与N330相比,添加N220的橡胶复合材料具有更低的耗散能、热积聚和更好的力学性能。该研究表明,在低滚动阻力卡车轮胎中,添加适量的炭黑N220可以改善橡胶复合材料的一些理想特性。
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引用次数: 10
Microstructure and mechanical properties of Ti-Ti2AlNb interface Ti-Ti2AlNb界面组织与力学性能
Pub Date : 2021-01-01 DOI: 10.1177/2633366X20929713
T. Niu, Bo Jiang, Ning Zhang, Yao-qi Wang
Diffusion bonding of Ti2AlNb alloy using pure titanium (Ti) foil as an interlayer was carried out on superplastic forming and diffusion bonding special equipment by gas pressure loading method. The microstructure of Ti-Ti2AlNb interface was observed using scanning electron microscope and energy-dispersive spectrometer while the mechanical properties of the joints were evaluated by shear test. The results show that the thickness of Ti foil interlayer has a great influence on the microstructure and shear strength of the interface diffusion region. When the thickness of the intermediate layer is thin (25 µm), Ti, aluminum (Al), and niobium (Nb) elements are fully diffused with uniform element distribution through the diffusion region. The diffusion layer region presents uniform, fine, and disordered lamellar α-Ti + β-Ti dual-phase structure with high shear strength. When the thickness of Ti foil interlayer is thick (50 µm), the distribution of Al elements is relatively uniform through the diffusion region due to its smaller radius and faster diffusion speed, and Ti and Nb elements present gradient distribution from the middle to both sides. The diffusion layer region presents a coarse and long strip shape α-Ti + β-Ti dual-phase structure in the middle part and a fine needle-like or irregular α-Ti + β-Ti dual-phase structure in both side parts, with slightly lower shear strength. Temperature has a great influence on the microstructure and mechanical properties of the diffusion bonding joints. The diffusion region presents a black α-Ti strip area in the middle part with the width of about 10 µm at lower temperature (910°C) with poorer property, due to the grain growth of the parent metal, the property is slightly poorer when the temperature is too high (960°C), and the optimal temperature is 930°C with a higher shear strength.
采用气压加载法在超塑性成形扩散连接专用设备上对纯钛(Ti)箔作为中间层的Ti2AlNb合金进行了扩散连接。采用扫描电镜和能谱仪观察了Ti-Ti2AlNb界面的微观组织,并通过剪切试验对接头的力学性能进行了评价。结果表明:Ti箔层厚度对界面扩散区的显微组织和抗剪强度有较大影响;当中间层厚度较薄(25µm)时,Ti、铝(Al)、铌(Nb)元素通过扩散区充分扩散,元素分布均匀。扩散层区呈现均匀、精细、无序的层状α-Ti + β-Ti双相结构,具有较高的剪切强度。当Ti箔夹层厚度较厚(50µm)时,由于其半径较小,扩散速度较快,Al元素在扩散区分布相对均匀,Ti和Nb元素呈现从中间到两侧的梯度分布。扩散层区域中部呈粗长条形α-Ti + β-Ti双相结构,两侧呈细针状或不规则α-Ti + β-Ti双相结构,抗剪强度略低。温度对扩散连接接头的组织和力学性能有很大的影响。在较低温度(910℃)下,扩散区中部呈现宽度约10µm的黑色α-Ti带状区域,性能较差,由于母材的晶粒生长,当温度过高(960℃)时,性能稍差,最佳温度为930℃,抗剪强度较高。
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引用次数: 0
The researches concern the influence of the helix angle on the composite machining process 研究了螺旋角对复合加工过程的影响
Pub Date : 2021-01-01 DOI: 10.1177/2634983321998373
Rongsheng Jiang, Jinxin Wang, Yu Gao, Zhaolong Zhu, P. Cao
Magnesium oxide-reinforced wood fiber composites (MgO/WF) are a new type of multifunctional material, which can be used in different occasions, such as shopping malls, hotels, and residential buildings. Referring to the relevant literature, there is no research on the milling performance of MgO/WF. In order to better understand the relevant knowledge of the processability of MgO/WF, three cutters with different helix angles were used in this experiment to carry out the cutting of MgO/WF, and the variation trend of its cutting force, tool wear, and surface roughness was measured. The results are as follows: First, under the same cutting parameters, the resultant force decreases with the increase of helix angle. Second, with the increase of helix angle, the tool wear was slightly improved. Third, the surface roughness (Ra) showed an increasing trend with the decrease of helix angle. In the end, when milling MgO/WF, better machined surface quality and less tool wear can be obtained by selecting the tool with larger helix angle.
氧化镁增强木纤维复合材料(MgO/WF)是一种新型多功能材料,可用于商场、酒店、住宅等不同场合。参考相关文献,没有对MgO/WF的铣削性能进行研究。为了更好地了解MgO/WF可加工性的相关知识,本实验使用三种不同螺旋角的刀具对MgO/WF进行切削,并测量其切削力、刀具磨损和表面粗糙度的变化趋势。结果表明:①在相同切削参数下,随着螺旋角的增大,合力减小;其次,随着螺旋角的增大,刀具磨损略有改善。随着螺旋角的减小,表面粗糙度Ra呈增大趋势。最后,在铣削MgO/WF时,选择螺旋角较大的刀具可以获得较好的加工表面质量和较少的刀具磨损。
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引用次数: 2
Tensile and fatigue properties of fiber-reinforced metal matrix composites Cf/5056Al 纤维增强金属基复合材料Cf/5056Al的拉伸和疲劳性能
Pub Date : 2021-01-01 DOI: 10.1177/2633366X20929712
Ying Ba, Shu Sun
Fiber-reinforced metal matrix composites have mechanical properties highly dependent on directions, possessing high strength and fatigue resistance in fiber longitudinal direction achieved by weak interface bonding. However, the disadvantage of weak interface combination is the reduction of transversal performances. In this article, tensile and fatigue properties of carbon fiber-reinforced 5056 aluminum alloy matrix (Cf/5056Al) composite under the condition of medium-strength interface combination are carried out. The fatigue damage mechanisms of Cf/5056Al composite under tension–tension and tension–compression loads are not the same, but the fatigue life curves are close, which may be the result of the medium-strength interface combination.
纤维增强金属基复合材料的力学性能高度依赖于方向,在纤维纵向上通过弱界面结合获得较高的强度和抗疲劳性能。然而,弱接口组合的缺点是横向性能降低。本文研究了碳纤维增强5056铝合金基(Cf/5056Al)复合材料在中等强度界面组合条件下的拉伸和疲劳性能。Cf/5056Al复合材料在拉伸-拉伸和拉伸-压缩载荷作用下的疲劳损伤机制不相同,但疲劳寿命曲线接近,这可能是中强度界面结合的结果。
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引用次数: 2
The research on precise forming technology of “λ” type composite skin “λ”型复合蒙皮精密成形技术研究
Pub Date : 2021-01-01 DOI: 10.1177/2634983321994749
Q. Guo, K. He, H. Xu, Y. Wen
With the application of “λ” type composite skin becoming more and more extensive and diversified, its precise forming technology is also widely concerned. This article mainly solves the quality problems of “λ” type corner area, such as delamination dispersion and surface wrinkle, which exist in reality commonly in the manufacturing process. The prepreg is heated along the corner area of the tooling to solve the problem that prepreg is difficult to be compacted due to the large modulus of carbon fiber in “λ” type corner area. Furthermore, two precompaction tests are creatively increased at 16 layers (middle layer) and 32 layers (last layer) for the thick structure, respectively, to ensure the compaction effect of the blank. In addition, combined with the characteristics of highly elastic rubber and carbon fiber-reinforced materials, a new type of soft mold structure with proper flexibility and good stiffness is proposed innovatively through the reasonable placement of carbon fiber-reinforced materials and the setting of exhaust holes according to the structure characteristics of “λ” type root skin. Through further process verification, it is shown that the improved process has effectively solved the problems of wrinkles and internal delamination at the sharp corners of parts and realized zero-defect manufacturing of “λ” type root skin for the first time.
随着“λ”型复合蒙皮的应用越来越广泛和多样化,其精密成形技术也受到广泛关注。本文主要解决了现实中制造过程中普遍存在的“λ”型边角区域的分层分散、表面起皱等质量问题。预浸料沿模具角区加热,解决了“λ”型角区碳纤维模量大导致预浸料难以压实的问题。并创造性地在厚结构的16层(中间层)和32层(末层)分别增加两次预压实试验,以保证坯料的压实效果。此外,结合高弹性橡胶和碳纤维增强材料的特点,根据“λ”型根皮的结构特点,通过碳纤维增强材料的合理放置和排气孔的设置,创新性地提出了一种柔性适当、刚度良好的新型软模结构。进一步的工艺验证表明,改进后的工艺有效地解决了零件尖角处的起皱和内部分层问题,首次实现了“λ”型根皮的零缺陷制造。
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引用次数: 0
Influence of machining parameters on micro-motion platform displacement during grinding Al-Mg alloys workpiece assisted by two-dimensional low-frequency vibration 二维低频振动辅助磨削Al-Mg合金工件时加工参数对微动平台位移的影响
Pub Date : 2021-01-01 DOI: 10.1177/2633366X20985308
Shi Yu, Shijun Ji, Ji Zhao, Chao Zhang, Handa Dai
The main factors affecting the displacement of micro-motion platform during the grinding process are spindle speed, cutting force, and piezoelectric ceramic input voltage model. This article, using the orthogonal test method, found a set of machining parameters which lead to less displacement deviation between practical test and theoretic analysis. First of all, single-factor experiments were carried out to study how spindle speed, cutting force, and piezoelectric ceramic input voltage model affect the experimental results, and then the orthogonal test was conducted. The experimental datum shows that voltage model was the most influential factor, followed by spindle speed and cutting force. The optimum combination of grinding parameters was obtained as spindle speed of 800 r/min, cutting force of 18 N, and voltage model radius of 12 µm. At this time, the average unit error of displacement of micro-motion platform was 9.13%.
磨削过程中影响微动平台位移的主要因素是主轴转速、切削力和压电陶瓷输入电压模型。本文采用正交试验方法,找到了一套使实际试验与理论分析位移偏差较小的加工参数。首先进行单因素实验,研究主轴转速、切削力、压电陶瓷输入电压模型对实验结果的影响,然后进行正交试验。实验数据表明,电压模型是影响磨削精度的最大因素,其次是主轴转速和切削力。得到磨削参数的最佳组合为主轴转速为800 r/min,切削力为18 N,电压模型半径为12µm。此时微动平台位移的平均单位误差为9.13%。
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引用次数: 0
Sustainability in additive manufacturing: Exploring the mechanical potential of recycled PET filaments 增材制造的可持续性:探索再生PET长丝的机械潜力
Pub Date : 2021-01-01 DOI: 10.1177/26349833211000063
Helge Schneevogt, Kevin Stelzner, Buket Yilmaz, B. Abali, A. Klunker, C. Völlmecke
Herein, the effects of recycled polymers on the mechanical properties of additively manufactured specimens, specifically those derived by fused deposition modelling, are determined. The intention is to investigate how 3D-printing can be more sustainable and how recycled polymers compare against conventional ones. Initially, sustainability is discussed in general and more sustainable materials such as recycled filaments and biodegradable filaments are introduced. Subsequently, a comparison of the recycled filament recycled Polyethylene terephthalate (rePET) and a conventional Polyethylene terephthalate with glycol (PETG) filament is drawn upon their mechanical performance under tension, and the geometry and slicing strategy for the 3D-printed specimens is discussed. Finally, the outcomes from the experiments are compared against numerically determined results and conclusions are drawn.
在这里,回收聚合物对增材制造样品的机械性能的影响,特别是那些由熔融沉积模型导出的,被确定。其目的是研究如何使3d打印更具可持续性,以及回收聚合物与传统聚合物相比如何。首先,可持续发展是一般讨论和更可持续的材料,如再生长丝和可生物降解长丝介绍。随后,比较了再生长丝再生聚对苯二甲酸乙二醇酯(rePET)和传统聚对苯二甲酸乙二醇酯(PETG)长丝在张力下的机械性能,并讨论了3d打印样品的几何形状和切片策略。最后,将实验结果与数值计算结果进行比较,得出结论。
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引用次数: 13
Prediction of tool wear in CFRP drilling based on neural network with multicharacteristics and multisignal sources 基于多特征多信号源神经网络的CFRP钻孔刀具磨损预测
Pub Date : 2021-01-01 DOI: 10.1177/2633366X20987234
Guoqiang Zhu, S. Hu, Hong-qun Tang
Carbon fiber-reinforced polymer (CFRP) drilling is a typical process in the aircraft industry. Because the components of CFRP are different and uneven, it is difficult to extract tool wear characteristics from the machining signals, which are composed of the processing characteristics of various materials and the tool state characteristics. The aim of this work is to present a new comprehensive approach based on multicharacteristics and multisignal sources to predict the tool wear state during CFRP drilling through a combination of a backpropagation (BP) artificial neural network (ANN) model and an efficient automatic system depending on the sliding window algorithm. It was verified that the peak factor and Kurtosis coefficient of different signals and the energy value of the d5 layer of the thrust force signal and the d3 layer of the vibration signal after wavelet decomposition were related to tool wear. Among them, the energy value of the d3 layer of the vibration signal was selected as the wear indicator and was able to describe the state of the tool during the CFRP drilling process regardless of the drilling conditions and individual tool differences. A confirmatory drilling experiment using 6-mm-diameter polycrystalline diamond twist drilling under different processing parameters was conducted to verify the ANN model based on multicharacteristics and multisignal sources. A lower feed speed and a higher cutting speed were both highly correlated with the VB value of flank wear. Drill wear accelerated because of the occurrence of adhesive wear when the number of drilled holes reached around 90. The accuracy of the neural network model is 80–87% when using the value of only one characteristic but clearly increases based on multicharacteristics and multisignal sources in real time, indicating that the BP ANN model has higher accuracy in predicting the tool state in CFRP drilling through the sensor signal fusion method.
碳纤维增强聚合物(CFRP)钻削是飞机工业中的一种典型工艺。由于CFRP的成分不同且不均匀,因此很难从加工信号中提取刀具磨损特性,这些加工信号由各种材料的加工特性和刀具状态特性组成。本研究的目的是提出一种基于多特征和多信号源的新的综合方法,通过反向传播(BP)人工神经网络(ANN)模型和依赖于滑动窗口算法的高效自动系统的结合,来预测CFRP钻孔过程中工具的磨损状态。验证了不同信号的峰值因子和峰度系数,以及推力信号的d5层和振动信号的d3层经小波分解后的能量值与刀具磨损有关。其中,选择振动信号d3层的能量值作为磨损指标,能够描述CFRP钻进过程中刀具的状态,而不受钻进条件和个别刀具差异的影响。为了验证基于多特征、多信号源的人工神经网络模型,采用不同加工参数下直径6 mm的聚晶金刚石麻花钻进行了验证性钻孔实验。较低的进给速度和较高的切削速度都与叶片磨损的VB值高度相关。当钻孔数达到90左右时,由于黏着磨损的发生,钻头磨损加速。仅使用一个特征值时,神经网络模型的准确率为80-87%,而实时使用多特征和多信号源时,神经网络模型的准确率明显提高,表明BP神经网络模型通过传感器信号融合方法预测CFRP钻孔中刀具状态具有较高的精度。
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引用次数: 9
Structure optimization of woven fabric composites for improvement of mechanical properties using a micromechanics model of woven fabric composites and a genetic algorithm 基于机织复合材料微观力学模型和遗传算法的机织复合材料力学性能优化研究
Pub Date : 2021-01-01 DOI: 10.1177/26349833211006114
Gunyong Hwang, Dong Hyun Kim, Myungsoo Kim
This research aims to optimize the mechanical properties of woven fabric composites, especially the elastic modulus. A micromechanics model of woven fabric composites was used to obtain the mechanical properties of the fiber composite, and a genetic algorithm (GA) was employed for the optimization tool. The structure of the fabric fiber was expressed using the width, thickness, and wave pattern of the fiber strands in the woven fabric composites. In the GA, the chromosome string consisted of the thickness and width of the fill and warp strands, and the objective function was determined to maximize the elastic modulus of the composite. Numerical analysis showed that the longitudinal mechanical properties of the strands contributed significantly to the overall elastic modulus of the composites because the longitudinal property was notably larger than the transverse property. Therefore, to improve the in-plane elastic modulus, the resulting geometry of the composites possessed large volumes of related strands with large cross-sectional areas and small strand waviness. However, the numerical results of the out-of-plane elastic modulus generated large strand waviness, which contributed to the fiber alignment in the out-of-plane direction. The findings of this research are expected to be an excellent resource for the structural design of woven fabric composites.
本研究旨在优化机织复合材料的力学性能,特别是弹性模量。采用机织复合材料细观力学模型对其力学性能进行了分析,并采用遗传算法对优化工具进行优化。织物纤维的结构是用织物复合材料中纤维股的宽度、厚度和波形来表示的。在遗传算法中,染色体串由填充线和翘曲线的厚度和宽度组成,确定了使复合材料弹性模量最大化的目标函数。数值分析表明,丝的纵向力学性能对复合材料的整体弹性模量有显著影响,因为纵向力学性能明显大于横向力学性能。因此,为了提高面内弹性模量,所得到的复合材料的几何形状具有大量的相关链、大的横截面积和小的链波纹。然而,面外弹性模量的数值计算结果产生了较大的股线波纹度,导致纤维在面外方向排列。本研究结果有望为机织复合材料的结构设计提供良好的参考资料。
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引用次数: 3
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