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A ball screw all-round error compensation technology based on novel hybrid deep learning for CNC machine tool 基于新型混合深度学习的数控机床滚珠丝杠全方位误差补偿技术
IF 1 Q3 Engineering Pub Date : 2024-04-21 DOI: 10.21595/jve.2024.23841
Bo Zhou, Guo-Hua Chen, Jie Mao, Yi Li, Shuai-Wei Zhang
Considering the detrimental impact of thermal phenomena on the geometric precision of machine tools, a machine tool ball screw’s omni-directional error model is created using the LSTM neural network algorithm. Subsequently, the machine tool ball screw's omni-directional error compensation module is devised by combining the core functions of the Huazhong numerical control system with the visual programming environment of QT and the numerical computation capability of Matlab. To enhance the practicality and accuracy of the compensation model, this study has employed the Whale Optimization Algorithm (WOA) to optimize the parameters of the LSTM model. This has resulted in an improvement in the model's generalization ability and prediction performance, making it more effective. During the experimental validation phase, the Z-axis error of the machine tool was practically operated and analyzed using the compensation method. Results manifestly show that, after employing the compensation method, the peak amplitude of the Z-axis error fluctuations have been notably curtailed to ±0.006 mm – a considerable reduction compared to the initial error bandwidth of ±0.0145 mm. These empirical findings substantiate the efficacy of the proposed compensation strategy in substantially boosting the machining precision of products, thus furnishing a substantial and instructive benchmark for future inquiries into CNC machine tool error compensation technologies.
考虑到热现象对机床几何精度的不利影响,利用 LSTM 神经网络算法建立了机床滚珠丝杠全向误差模型。随后,结合华中数控系统的核心功能、QT 的可视化编程环境和 Matlab 的数值计算能力,设计出机床滚珠丝杠全向误差补偿模块。为了提高补偿模型的实用性和准确性,本研究采用了鲸鱼优化算法(WOA)来优化 LSTM 模型的参数。这提高了模型的泛化能力和预测性能,使其更加有效。在实验验证阶段,使用补偿方法对机床的 Z 轴误差进行了实际操作和分析。结果表明,在采用补偿方法后,Z 轴误差波动的峰值振幅已显著降低至 ±0.006 mm,与初始误差带宽 ±0.0145 mm 相比,降低幅度相当大。这些实证研究结果证明了所提出的补偿策略在大幅提高产品加工精度方面的有效性,从而为今后研究数控机床误差补偿技术提供了一个具有指导意义的重要基准。
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引用次数: 0
Methods of detection and localization of the sources of noise and vibration on car gearboxes: a review 汽车变速箱噪声和振动源的检测和定位方法:综述
IF 1 Q3 Engineering Pub Date : 2024-04-14 DOI: 10.21595/jve.2024.23888
Samnang Sann, E. Tomeh, Tomas Petr
One of the primary sources of noise and vibration in automobiles is gearboxes. Shafts, gears, and bearings are the main causes of noise and vibration in vehicle gearboxes. Various studies have reported that vibrations’ root cause is bearing excitation. Besides bearing fatal defects or extreme structure resonance amplification, gear mesh is the primary source of high-frequency vibration and noise, even in newly built units. Gear damage detection is frequently crucial in automotive gearboxes and vehicle safety. Furthermore, vibrations caused by shaft imbalances, shaft misalignments, and other factors can cause noise and vibrations in the drivetrain's transfer path. In addition, the vibration of an automobile gearbox is closely related to poor design, construction quality, and production accuracy. This paper reviewed previous research and methods on car gearboxes for conventional vehicles. It was obvious that frequency analysis and order analysis were commonly used in noise and vibration analysis on car gearboxes. Envelope analysis is usually used to analyze bearing faults. Finally, rolling-element bearing diagnostic techniques were also reviewed.
汽车噪音和振动的主要来源之一是变速箱。轴、齿轮和轴承是汽车变速箱产生噪音和振动的主要原因。各种研究报告表明,振动的根本原因是轴承激励。除了轴承的致命缺陷或极端结构共振放大外,齿轮啮合也是高频振动和噪声的主要来源,即使在新建的设备中也是如此。齿轮损坏检测对汽车变速箱和车辆安全至关重要。此外,由轴不平衡、轴错位和其他因素引起的振动也会在传动系统的传输路径中产生噪声和振动。此外,汽车变速箱的振动与不良设计、施工质量和生产精度密切相关。本文回顾了以往对传统车辆的汽车变速箱的研究和方法。很明显,频率分析和阶次分析常用于汽车变速箱的噪声和振动分析。包络分析通常用于分析轴承故障。最后,还回顾了滚动体轴承诊断技术。
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引用次数: 0
Optimization of lubrication characteristics of wind turbine’s transmission system based on Newton Raphson method 基于 Newton Raphson 方法的风力涡轮机传动系统润滑特性优化
IF 1 Q3 Engineering Pub Date : 2024-04-02 DOI: 10.21595/jve.2024.23725
Li Cao, Wenlei Sun, Tao Gou
To improve the reliability and lifespan of wind turbines, this paper takes the two-stage fixed shaft gearbox experimental platform of wind turbines as the research object. Based on Hertz contact theory, the oil film pressure and thickness in the contact area are solved by combining the equations of elastohydrodynamic lubrication and the Newton Raphson method; And the lubrication characteristics of the transmission system were analyzed to verify the correctness of the method; At the same time, in response to partial load phenomenon caused by system coupling deformation, genetic algorithm was selected to modify the gear teeth. The results show that the max unit load on the tooth face and the maximum stress of tooth root decreased by up to 26.48 % and up to 20.35 % respectively after modification which can improve the uneven distribution of oil film and the lubrication performance of the tooth surface.
为提高风力发电机组的可靠性和使用寿命,本文以风力发电机组两级定轴齿轮箱实验平台为研究对象。以赫兹接触理论为基础,结合弹流体动力学润滑方程和牛顿拉夫逊法,求解了接触区域的油膜压力和厚度,并对传动系统的润滑特性进行了分析,验证了该方法的正确性;同时,针对系统耦合变形引起的偏载现象,选用遗传算法对轮齿进行了修正。结果表明,改造后齿面的最大单位载荷和齿根的最大应力分别降低了 26.48% 和 20.35%,从而改善了油膜的不均匀分布和齿面的润滑性能。
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引用次数: 0
Stability analysis of civil air defense tunnel under blasting vibration 爆破振动下的民用防空隧道稳定性分析
IF 1 Q3 Engineering Pub Date : 2024-03-17 DOI: 10.21595/jve.2024.23892
Yaoxin Li, Zhibin Wang, Qiqi Luo, Tingyao Wu
Based on a large section drilling and blasting excavation project, the dynamic response characteristics of civil air defense tunnels are analyzed by combining field monitoring and numerical simulation. The dynamic response features include particle vibration velocity, main frequency, displacement, and stress, and the stability criterion of the tunnel is analyzed. A safety criterion model based on the ultimate tensile strength of materials is established. The results show that the frequency of the X, Y, and Z directions is mainly distributed in 90-140 Hz. The effective stress increases first and then decreases along the axis of the roadway. The stress near the explosion source is large and the relative reduction is also large. By fitting the relationship between blasting vibration velocity and maximum principal stress, the safe vibration velocity criterion based on tensile strength is obtained, and the safe threshold of vibration velocity is 19.62 cm/s. It can be assumed that blasting does not affect the structure.
基于大断面钻孔爆破开挖工程,通过现场监测和数值模拟相结合的方法,分析了人防隧道的动态响应特性。动态响应特征包括颗粒振动速度、主频、位移和应力,并分析了隧道的稳定性准则。建立了基于材料极限抗拉强度的安全准则模型。结果表明,X、Y 和 Z 方向的频率主要分布在 90-140 Hz 之间。有效应力沿巷道轴线先增大后减小。爆破源附近的应力较大,相对减小的幅度也较大。通过拟合爆破振动速度与最大主应力之间的关系,可以得到基于抗拉强度的安全振动速度准则,安全振动速度阈值为 19.62 cm/s。可以认为爆破不会对结构造成影响。
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引用次数: 0
Fault diagnosis and identification of rotating machinery based on one-dimensional convolutional neural network 基于一维卷积神经网络的旋转机械故障诊断与识别
IF 1 Q3 Engineering Pub Date : 2024-03-17 DOI: 10.21595/jve.2024.23722
Feifei Yu, Guoyan Chen, Canyi Du, Liwu Liu, Xiaoting Xing, Xiaoqing Yang
The paper focuses on two kinds of rotating machinery, miniature table drilling machine and automobile engine, as the research object. Traditional machine learning has the need for manual feature extraction, and is very dependent on expert diagnostic experience and expertise, but also has the disadvantages of low accuracy, low timeliness, low efficiency, etc. For the traditional rotating machinery fault diagnosis method is more based on the traditional machine learning model, this paper puts forward a one-dimensional convolutional neural network-based fault identification method. According to the characteristics of the miniature table drilling machine and the automobile engine which are not detachable, the corresponding faults are set up respectively, Vibration signals of the attitude sensor are obtained by using the signal collector, and the collected data are preprocessed, then the CNN model is built for fault identification, and the network structure is constantly optimized to obtain the optimal network model with high accuracy (up to 100 %) and robustness. The results show that the one-dimensional convolutional neural network model improves the fault recognition accuracy and reduces the cost compared with the traditional machine learning SVM model when the original signal is used as the input signal.
本文以微型台钻和汽车发动机这两种旋转机械为研究对象。传统的机器学习存在需要人工提取特征,对专家诊断经验和专业知识的依赖性很强,同时也存在准确性低、时效性低、效率低等缺点。针对传统旋转机械故障诊断方法多基于传统机器学习模型的问题,本文提出了一种基于一维卷积神经网络的故障识别方法。根据微型台钻和汽车发动机不可拆卸的特点,分别设置了相应的故障,利用信号采集器获取姿态传感器的振动信号,并对采集到的数据进行预处理,然后建立 CNN 模型进行故障识别,并不断优化网络结构,得到精度高(达 100%)、鲁棒性强的最优网络模型。结果表明,当原始信号作为输入信号时,一维卷积神经网络模型与传统的机器学习 SVM 模型相比,提高了故障识别精度,降低了成本。
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引用次数: 0
Fuzzy algorithm-based active control method for vibration of a mechanical gear transmission system 基于模糊算法的机械齿轮传动系统振动主动控制方法
IF 1 Q3 Engineering Pub Date : 2024-03-14 DOI: 10.21595/jve.2024.23595
Yang Li, Guangzheng Wang, Shaozhu Wang, Hui Tan, Fazhan Yang
The detached raft automatic frequency isolation system is a complicated system with high exceptionally nonlinear, high electromagnetic, and multi-source vibration modes. However, it generates a statistical method and it is hard to operate the organization. The fuzzy control algorithm, as an astute control method, can give a keen path to the active management of a complicated system of floating rafts. This study uses a system identification approach to construct mathematical models for a floating raft active vibration isolation system with discrete transfer work. The fuzzy model is used in tests and simulations controller is built using two contributions of acceleration and its variation, as well as a single result of control voltage. The control isolation system is a complicated system with many moving parts. A lot of moving parts profoundly nonlinear, high electromagnetic and multi-source vibration modes, generating a statistical method and it is hard to operate the organization. The fuzzy control algorithm, as a smart control method, can give a keen path to the active management of a sophisticated floating raft system. This research uses an identification strategy to construct a floating raft active vibration isolation technology discrete transfer work mathematical models. The fuzzy controller is then put together using two contributions: acceleration and variation, as well as a single outcome of control voltage for simulations and experiments research.
分离式筏板自动频率隔离系统是一个复杂的系统,具有高异常非线性、高电磁性和多源振动模式。然而,它产生的是一种统计方法,很难进行组织操作。模糊控制算法作为一种精明的控制方法,可以为浮筏复杂系统的主动管理提供一条敏锐的路径。本研究采用系统识别方法,为具有离散传递功的浮筏主动隔振系统构建数学模型。测试中使用了模糊模型,并利用加速度及其变化的两个贡献以及控制电压的单一结果建立了模拟控制器。控制隔离系统是一个具有许多运动部件的复杂系统。大量运动部件具有深刻的非线性、高电磁性和多源振动模式,产生的统计方法和组织很难操作。模糊控制算法作为一种智能控制方法,可以为复杂浮筏系统的主动管理提供一条敏锐的路径。本研究采用识别策略,构建浮筏主动隔振技术离散传递工作数学模型。然后,利用加速度和变异两种贡献以及控制电压的单一结果将模糊控制器组合在一起,用于模拟和实验研究。
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引用次数: 0
The distribution law of shock wave pressure in typical trenches 典型沟槽中冲击波压力的分布规律
IF 1 Q3 Engineering Pub Date : 2024-03-12 DOI: 10.21595/jve.2023.23705
F. Shang, Liangquan Wang
Trenches, as important practical military facilities, have important theoretical and military value in evaluating the damage power of ammunition, operational application, and effective safety protection of personnel on the battlefield through the spatiotemporal evolution of explosive shock waves within them. At present, there is a lack of in-depth research on the distribution and impact of overpressure inside the trench. The paper constructed a typical finite element simulation model of a trench, numerically calculated the shock wave overpressure inside the trench and on the wall, analyzed the spatiotemporal distribution of shock wave pressure in various parts of the trench, conducted on-site explosion tests, and installed shock wave pressure sensor measurement points in the trench. The pressure time history curve was obtained, and verified and compared with the simulation calculation results. Research data shows that the peak overpressure of the shock wave in the trench increases sequentially from the front wall to the back wall. The peak overpressure of the shock wave at the front wall attenuates by 10 % to 20 % compared to the inside of the trench, and increases by 40 % to 60 % at the back wall; The peak overpressure in the trench exhibits a “V-shaped” distribution at different depths, decreasing first and then increasing as the depth increases. The maximum overpressure peak increases by 40 % to 50 % compared to the minimum; Based on simulation and measured data in the trench, as well as the distribution law of shock wave pressure, safety protection suggestions for on-site combat personnel in the trench are provided.
堑壕作为重要的实用军事设施,通过堑壕内爆炸冲击波的时空演化,对评价战场上弹药的毁伤力、作战运用和人员的有效安全防护具有重要的理论和军事价值。目前,对堑壕内超压的分布和影响缺乏深入研究。本文构建了典型的堑壕有限元仿真模型,数值计算了堑壕内和壕壁上的冲击波超压,分析了冲击波压力在堑壕各部位的时空分布,进行了现场爆炸试验,并在堑壕内设置了冲击波压力传感器测点。获得了压力时间历史曲线,并与模拟计算结果进行了验证和比较。研究数据表明,冲击波在坑道内的峰值超压从前壁到后壁依次增加。前壁的冲击波峰值超压比沟槽内部衰减 10% 至 20%,后壁则增加 40% 至 60%;沟槽内的峰值超压在不同深度呈 "V "形分布,随着深度的增加先减小后增大。与最小值相比,最大超压峰值增加了 40% 至 50%;根据战壕内的模拟和实测数据以及冲击波压力的分布规律,为战壕内的现场作战人员提供了安全防护建议。
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引用次数: 0
Improved theoretical calculation method for the transverse load distribution of wide bridges considering torsion and distortion 考虑扭转和变形的宽桥横向荷载分布的改进理论计算方法
IF 1 Q3 Engineering Pub Date : 2024-03-12 DOI: 10.21595/jve.2023.23526
Ji Wen, Xinyi Ma, Hui Jiang, Chen Li, Cong Zeng, Zengqing Bai
An improved theoretical calculation method was proposed to determine the transverse load distribution of airport and highway bridges under heavy loads using the rigid-joint girder (RJG) method. The effects of torsion, distortion, and vertical inclination of the adjacent box girder joints under an eccentric heavy load were considered. The coefficients and influence lines of a taxiway bridge and a highway bridge were calculated using the proposed method, the RJG method, and the modified RJG methods. The accuracies of the three methods were evaluated by the refined finite element model, and the cosine similarity and peak deviation rate were used as quantitative indices. The results showed that the cosine similarity obtained from the proposed method for the taxiway bridge was 0.996 compared with the finite element method (FEM). The maximum peak deviation rate of the transverse load distribution coefficient for the proposed method was 14.88 % and obviously lower than 34.74 % for the RJG method. For the highway bridge, the cosine similarity of the influence line derived from the proposed method was 0.995, and the maximum peak deviation rate of the transverse load distribution coefficient for the proposed method was 6.66 % and lower than 16.14 % for the RJG method. The results indicate that the proposed method can be used to calculate the transverse load distribution of wide box girder bridges accurately and efficiently.
提出了一种改进的理论计算方法,利用刚接梁法(RJG)确定重荷载下机场和公路桥梁的横向荷载分布。考虑了偏心重载下相邻箱梁接缝的扭转、变形和垂直倾斜的影响。使用提出的方法、RJG 方法和改进的 RJG 方法计算了滑行道桥和公路桥的系数和影响线。通过改进的有限元模型对三种方法的精确度进行了评估,并将余弦相似度和峰值偏差率作为定量指标。结果表明,与有限元方法(FEM)相比,拟议方法获得的滑行道桥梁余弦相似度为 0.996。建议方法的横向荷载分布系数最大峰值偏差率为 14.88%,明显低于 RJG 方法的 34.74%。对于公路桥梁,建议方法得出的影响线余弦相似度为 0.995,建议方法的横向荷载分布系数最大峰值偏差率为 6.66%,低于 RJG 方法的 16.14%。结果表明,建议的方法可用于准确、高效地计算宽箱梁桥梁的横向荷载分布。
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引用次数: 0
An analytical model for the analysis of vibration and energy flow in a clamped stiffened plate using integral transform technique 利用积分变换技术分析夹紧加劲板振动和能量流的分析模型
IF 1 Q3 Engineering Pub Date : 2024-03-02 DOI: 10.21595/jve.2024.23604
Hui Guo, Kai Zhang
Based on Kirchhoff thin plate and Mindlin thick plate theories, the vibration and energy flow characteristics of clamped stiffened plate are studied by using the analytical model constructed by finite integral transform method. The results show that the energy flow characteristics of the stiffened plate at the beam/plate coupling interface depend on the position of the rib in the vibration modes of the plate. The effects of shear deformation and rotatory inertia on the energy flow across the beam/plate coupling interface of the stiffened plate are further investigated. It is found that the inclusion of rotatory inertia of the beam and plate in the model only affects the energy flow component controlled by the moment coupling but not that controlled by the shear force coupling. Whilst the inclusion of the shear deformation of the beam and plate mainly causes a decreased amplitude of the energy flow for the mode group where the beam is located away from both the nodal and antinodal lines of modes, in addition to the shear deformation of the plate which also leads to an increased amplitude of the energy flow component controlled by the shear force coupling for the mode group where the beam locates at the antinodal line of modes. The understanding of energy flow characteristics of the stiffened plate at the beam/plate interface is essential to effectively control the noise and vibration problems of structures such as transformer tanks and machine covers.
基于 Kirchhoff 薄板和 Mindlin 厚板理论,利用有限积分变换法建立的分析模型研究了夹紧加劲板的振动和能量流动特性。结果表明,加劲板在梁/板耦合界面处的能量流动特性取决于肋在板振动模式中的位置。进一步研究了剪切变形和转动惯量对加劲板梁/板耦合界面能量流的影响。研究发现,在模型中加入梁和板的转动惯量只会影响由力矩耦合控制的能量流分量,而不会影响由剪力耦合控制的能量流分量。梁和板的剪切变形主要导致梁远离模态节点线和模态反节点线的模态组的能量流振幅减小,此外,板的剪切变形也导致梁位于模态反节点线的模态组由剪力耦合控制的能量流振幅增大。了解加劲板在梁/板接口处的能量流特性对于有效控制变压器油箱和机器盖板等结构的噪声和振动问题至关重要。
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引用次数: 0
Ship shafting alignment technology and hull deformation based on improved genetic algorithm and shipbed calibration 基于改进遗传算法和船台校准的船舶轴系对准技术和船体变形
IF 1 Q3 Engineering Pub Date : 2024-02-29 DOI: 10.21595/jve.2024.23616
Dabin Zhang
As science and technology develop in recent years, the center of ship shafting has received high attention from the ship industry. The traditional ship shafting calibration mostly focuses on the issue that hull deformation cannot be accurately estimated. The ship is floating after entering the water, and this method is not conducive to the long-term stable operation of the ship shafting. To solve the above problems, the study establishes the optimization model of ship axis alignment based on slide alignment and finite element method. This model can be optimized by adopting the non-dominant sequencing genetic algorithm improved by elite strategy. The study verified the performance of the optimization model of ship axis alignment. The results showed that the adaptive value, super-volume value, and inverse generation distance of the improved genetic algorithm were 74.57, 0.38, and 0.03, respectively. In the application of a ship, the intermediate bearing position could be adjusted by the ship shafting optimization model based on the improved non-dominant sorting genetic algorithm. As a result, the shaft reaction under the ballast condition was reduced by 24019 N than before, making the bearing load of the ship shafting more uniform. To sum up, the proposed optimal model is robust, which can effectively reduce the impact of hull deformation, improve the optimal effect of ship shafting alignment and ensure the safe navigation of the ship.
随着近年来科学技术的发展,船舶轴系中心受到了船舶行业的高度重视。传统的船舶轴系校核大多集中在船体变形无法准确估计的问题上。船舶入水后处于漂浮状态,这种方法不利于船舶轴系的长期稳定运行。为解决上述问题,本研究建立了基于滑动对中和有限元法的船轴对中优化模型。该模型可采用经精英策略改进的非优势排序遗传算法进行优化。研究验证了船轴对中优化模型的性能。结果表明,改进遗传算法的自适应值、超容值和逆生成距离分别为 74.57、0.38 和 0.03。在船舶应用中,基于改进的非优势排序遗传算法的船舶轴系优化模型可以调整中间轴承位置。结果,压载条件下的轴反力比以前减少了 24019 N,使船轴承的承载负荷更加均匀。综上所述,所提出的优化模型具有良好的鲁棒性,能有效降低船体变形的影响,提高船轴对中的优化效果,确保船舶的安全航行。
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引用次数: 0
期刊
Journal of Vibroengineering
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