基于KNN的机床刀尖点频响函数预测

加工颤振是影响工件表面质量、加剧刀具磨损和降低机床寿命的重要原因,颤振抑制一直以来都是学术界和工业界关注的重点。稳定性叶瓣图是现有颤振抑制方法的重要依据,而机床刀尖点频响函数是绘制稳定性叶瓣图的主要输入。锤击试验法是目前获取刀尖模态参数最为准确的方法,但是在机床结构变化频繁的应用场景下,该方法效率低,机床需要长时间停机,难以满足实际生产要求。提出了基于KNN的机床刀尖点频响函数预测方法,将锤击试验法和KNN算法相结合,大幅减小了锤击试验的次数,同时准确获得机床刀尖点频响函数。在试验验证中,将该方法和传统RCSA方法进行对比,结果表明所提方法具有良好的准确度。     

Cutting force prediction for circular end milling process

A deduced cutting force prediction model for circular end milling process is presented in this paper. Traditional researches on cutting force model usually focus on linear milling process which does not meet other cutting conditions, especially for circular milling process. This paper presents an improved cutting force model for circular end milling process based on the typical linear milling force model. The curvature effects of tool path on chip thickness as well as entry and exit angles are analyzed, and the cutting force model of linear milling process is then corrected to fit circular end milling processes. Instantaneous cutting forces during circular end milling process are predicted according to the proposed model. The deduced cutting force model can be used for both linear and circular end milling processes. Finally, circular end milling experiments with constant and variable radial depth were carried out to verify the availability of the proposed method. Experiment results show that measured results and simulated results corresponds well with each other.     

Evaluation of tool wear and cutting performance considering effects of dynamic nodes movement based on FEM simulation

An accurate estimation of tool wear morphology can provide the opportunity to investigate the influence of tool wear on cutting performance as well as reduce the overall production cost. However, tool wear prediction is still a very challenging research issue. In this paper, a novel method for simulating the actual chip formation and wear evolution thorough the 3D finite element model has been carried out. In order to improve the accuracy of simulation results, the influence of worn tool, stress and temperature distribution on wear rate are considered. Then cutting experiment has been conducted by turning AISI1045 with uncoated carbide tools to validate the accuracy of the proposed model. The comparison between experimental and simulation results show good agreement which proves the ability of the proposed model in forecasting the tool wear. The validated finite element model has been further utilized studying how the worn tool affects the cutting performance including actual cutting rake, stress distribution, cutting force and temperature. The results of this paper not only provide a clear understanding of wear evolution between tool rake face and chip, but also are meaningful to optimize tool design and cutting parameters.     

立铣加工颤振稳定性时域求解与分析研究(英文)

In this paper, the instantaneous undeformed chip thickness is modeled to include the dynamic modulation caused by the tool vibration while the dynamic regenerative effects are taken into account. The numerical method is used to solve the differential equations goveming the dynamics of the milling system. Several chatter detection criteria are applied synthetically to the simulated signals and the stability diagram is obtained in time-domain. The simulation results in time-domain show a good agreement with the analytical prediction, which is validated by the cutting experiments. By simulating the chatter stability lobes in the time-domain and analyzing the influences of different spindle speeds on the vibration amplitudes of the tool under a Fixed chip-load condition, conclusions could be drawn as follows： In rough milling, higher machining efficiency can be achieved by selecting a spindle speed corresponding to the axial depth of cut in accordance with the simulated chatter stability lobes, and in Fmish milling, lower surface roughness can be achieved by selecting a spindle speed well beyond the resonant frequency of machining system.     

超声振动切削对耦合颤振的影响

以耦合颤振为研究对象,通过理论分析和实验测量,研究了超声振动切削(UVC)方法对其影响及机理。超声振动切削可以通过控制系统能量摄入抑制耦合颤振。一方面,确定系统发生耦合颤振具有临界能量阀值,系统摄入能量为瞬时切削功率在净切削时间内的积分;建立的临界切削深度模型,表明超声振动切削可以增大临界切深,这表示系统具有更大的切削功率阀值,其原因是超声振动切削方法净切削时间减少,从而在一定切削时间内维持系统能量摄入总量不变,保证切削系统的稳定。另一方面,在相同条件下,超声振动切削可以有效降低平均切削力,减少系统摄入的能量,从而减弱耦合颤振的振动幅度,对其进行抑制。使用自行研制的弱刚度镗杆进行了对比实验,实验结果表明:超声振动切削可以增大临界切削深度且临界切深与占空比成反比;在相同条件下减小了系统振动幅度,获得了更好的加工质量。     

基于域对抗门控网络的变工况刀具磨损精确预测方法

刀具磨损的精确预测对保证零件加工质量、提高生产效率和降低制造成本具有重要作用。在实际加工过程中,切削参数、刀具几何参数、刀具材料等工况复杂多变,工况信息和刀具磨损量对监测信号的耦合作用为刀具磨损的精确预测带来了很大挑战。针对以上问题,提出了一种基于域对抗门控网络（DAGNN）的变工况刀具磨损精确预测方法。引入工况分类网络并利用无磨损量标签样本,通过域对抗和门控过滤机制自适应地从不同工况的原始监测信号中提取表征刀具磨损且对工况变化不敏感的关键信号特征。对信号特征提取网络和刀具磨损预测网络进行迭代优化,从而实现变工况刀具磨损的精确预测。实验结果表明：相比已有的方法,本文方法能够利用少量带磨损量标签的目标工况样本实现刀具材料和刀具直径变化情况下的刀具磨损量精确预测,预测精度大幅提高。     

切削颤振在线监测的试验研究

 切削颤振发生过程最显著的频域特征是包含颤振频率的某个窄频段内振动能量的急剧上升。本文根据频段能量原理提出了一种可靠的判据,并利用微型计算机实现了切削颤振的在线监测。该方法具有快速、灵敏、准确和抗干扰能力强等优点。本文还探讨了实际应用中的某些具体措施。     

Chatter stability and precision during high-speed ultrasonic vibration cutting of a thin-walled titanium cylinder

Titanium alloys are widely used in the aviation and aerospace industries due to their unique mechanical and physical properties. Specifically, thin-walled titanium (Ti) cylinders have received increasing attention for their applications as rocket engine casings, aircraft landing gear, and aero-engine hollow shaft due to their observed improvement in the thrust-to-weight ratio. However, the conventional cutting (CC) process is not appropriate for thin-walled Ti cylinders due to its low thermal conductivity, high strength, and low stiffness. Instead, high-speed ultrasonic vibration cutting (HUVC) assisted processing has recently proved highly effective for Ti-alloy machining. In this study, HUVC technology is employed to perform external turning of a thin-walled Ti cylinder, which represents a new application of HUVC. First, the kinematics, tool path, and dynamic cutting thickness of HUVC are evaluated. Second, the phenomenon of mode-coupling chatter is analyzed to determine the effects and mechanism of HUVC by establishing a critical cutting thickness model. HUVC can increase the critical cutting thickness and effectively reduce the average cutting force, thus reducing the energy intake of the system. Finally, comparison experiments are conducted between HUVC and CC processes. The results indicate that the diameter error rate is 10% or less for HUVC and 51% for the CC method due to a 40% reduction in the cutting force. In addition, higher machining precision and better surface roughness are achieved during thin-walled Ti cylinder manufacturing using HUVC.     

镗削声发射信号与镗刀磨损量关系的研究

 对镗削过程中声发射信号与刀具磨损之间的关系进行了实验研究和理论分析,得到了声发射信号的特征量与刀具磨损量之间的关系。本文提出用声发射信号随时间变化的记录长度内最大峰值电压V_(pmax)对时间f的累积均值(?)及累积均方差σ_t为在过程(In-Process)实时辨识镗刀磨损的特征量,以便实现刀具磨损的预报控制。     

Gaussian process regression model incorporated with tool wear mechanism

Cutting tool condition directly affects machining quality and efficiency. In order to avoid severely worn tools used during machining process and fully release the remaining useful life in the meanwhile, a reliable evaluation method of remaining useful life of cutting tools is quite necessary.Due to the variation of cutting conditions, it is a challenge to predict remaining useful life of cutting tools by a unified model. In order to address this issue, this paper proposes a method for predictin...