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| 1 | On-line chatter detection using servo motor current signal in turning显示文摘Chatter often poses limiting factors on the achievable productivity and is very harmful to machining processes. In order to avoid effectively the harm of cutting chatter,a method of cutting state monitoring based on feed motor current signal is proposed for chatter identification before it has been fully developed. A new data analysis technique,the empirical mode decomposition(EMD),is used to decompose motor current signal into many intrinsic mode functions(IMF) . Some IMF's energy and kurtosis regularly change during the development of the chatter. These IMFs can reflect subtle mutations in current signal. Therefore,the energy index and kurtosis index are used for chatter detection based on those IMFs. Acceleration signal of tool as reference is used to compare with the results from current signal. A support vector machine(SVM) is designed for pattern classification based on the feature vector constituted by energy index and kurtosis index. The intelligent chatter detection system composed of the feature extraction and the SVM has an accuracy rate of above 95% for the identification of cutting state after being trained by experimental data. The results show that it is feasible to monitor and predict the emergence of chatter behavior in machining by using motor current signal. | LIU HongQil CHEN QmgHa LI Bin MAO XinYong MAO KuanMin PENG FangYu | 2011 | Science China(Technological Sciences)2011，54，12： | 15 |
| 2 | 铣削过程颤振稳定性分析的研究进展显示文摘综述铣削过程颤振稳定性分析的研究概况和进展。颤振建模和稳定性分析是该方法两个关键环节。依据颤振形成的物理条件,将其分为摩擦型颤振、振型耦合型颤振和再生型颤振。从切削过程的非线性和切削系统的非线性两方面,重点介绍再生型颤振的非线性建模的研究成果。稳定性分析方法根据对颤振模型的求解方法,分为频域法、离散法及数值法,概括了各个方法的特点、效果及适用工况。最后介绍了近来兴起的微细铣削研究领域中颤振稳定性分析的研究成果。由于其尺度效应,微细铣削加工具有独特的加工机理和特点,颤振建模中需考虑的因素与传统铣削多有不同,但稳定性分析方法仍大多沿用传统铣削中的方法。 | 卢晓红 王凤晨 王华 王鑫鑫 司立坤 | 2016 | 振动与冲击2016，35，1： | 14 |
| 3 | 铣削过程稳定性分析的时域法研究进展显示文摘高速铣削是高性能加工的重要支撑技术,获取无颤振铣削工艺参数是保证铣削加工精度、提高加工效率的前提.再生颤振是引起铣削过程失稳的主要因素,考虑再生效应的动态铣削过程可以表述为含周期系数矩阵的时滞微分方程组.本文从时滞动力系统的动态响应数值求解的角度,对基于动力学模型的铣削颤振稳定性时域(半)解析方法以及应用进行了综述,着重介绍了基于积分方程的半解析方法,并展望了铣削过程稳定性分析的发展趋势. | 丁汉 丁烨 朱利民 | 2012 | 科学通报2012，57，31： | 10 |
| 4 | 预测铣削稳定性的隐式Adams方法显示文摘针对铣削加工过程中产生的振动现象,提出了一种隐式Adams方法(Implicit Adams method,IAM)来预测铣削加工过程的稳定性。考虑再生颤振的铣削加工动力学方程可以表示为时滞线性微分方程,将刀齿周期可分为自由振动阶段和强迫振动阶段,对强迫振动阶段进行离散,运用IAM方法构建状态传递矩阵,利用Floquet理论,判定系统的稳定性,获得系统的稳定性叶瓣图。Matlab软件仿真结果表明,IAM方法是预测铣削稳定性的一种有效方法。随着离散数的增加,IAM方法的收敛速度要快于一阶半离散法(First-order semi-discretization method,1st-SDM)和二阶全离散法(Second-order full-discretization method,2nd-FDM),离散数较少的IAM方法能达到离散数较多的1st-SDM方法和2nd-FDM方法的局部离散误差。此外,在单自由度和双自由度动力学模型下,三种方法的稳定性叶瓣图显示,IAM方法预测铣削稳定性的预测精度均好于1st-SDM方法和2nd-FDM方法,计算效率远远高于1st-SDM方法,稍高于2nd-FDM方法。切削试验和仿真结果表明,IAM方法的预测精度和可靠度均好于1st-SDM方法和2nd-FDM方法。 | 智红英 闫献国 杜娟 曹启超 张唐圣 | 2018 | 机械工程学报2018，54，23： | 8 |
| 5 | Kinematics constrained five-axis tool path planning for high material removal rate显示文摘Traditional five-axis tool path planning methods mostly focus on differential geometric characteristics between the cutter and the workpiece surface to increase the material removal rate(i.e.,by minimizing path length,improving curvature matching,maximizing local cutting width,etc.) . However,material removal rate is not only related to geometric conditions such as the local cutting width,but also constrained by feeding speed as well as the motion capacity of the five-axis machine. This research integrates machine tool kinematics and cutter-workpiece contact kinematics to present a general kinematical model for five-axis machining process. Major steps of the proposed method include:(1) to establish the forward kinematical relationship between the motion of the machine tool axes and the cutter contact point;(2) to establish a tool path optimization model for high material removal rate based on both differential geometrical property and the contact kinematics between the cutter and workpiece;(3) to convert cutter orientation and cutting direction optimization problem into a concave quadratic planning(QP) model. Tool path will finally be generated from the underlying optimal cutting direction field. Through solving the time-optimal trajectory generation problem and machining experiment,we demonstrate the validity and effectiveness of the proposed method. | YE Tao XIONG CalHua XIONG YouLun ZHAO Can | 2011 | Science China(Technological Sciences)2011，54，12： | 7 |
| 6 | A generalized Markov chain model based on generalized interval probability显示文摘In the traditional Markov chain model (MCM), aleatory uncertainty because of inherent randomness and epistemic uncertainty due to the lack of knowledge are not differentiated. Generalized interval probability provides a concise representation for the two kinds of uncertainties simultaneously. In this paper, a generalized Markov chain model (GMCM), based on the generalized interval probability theory, is proposed to improve the reliability of prediction. In the GMCM, aleatory uncertainty is represented as probability; interval is used to capture epistemic uncertainty. A case study for predicting the average dynamic compliance in machining processes is provided to demonstrate the effectiveness of proposed GMCM. The results show that the proposed GMCM has a better prediction performance than that of MCM. | XIE FengYun WU Bo HU YouMin WANG Yan | 2013 | Science China(Technological Sciences)2013，56，9： | 6 |
| 7 | Fault feature enhancement of gearbox in combined machining center by using adaptive cascade stochastic resonance显示文摘The difficulty to select the best system parameters restricts the engineering application of stochastic resonance(SR) . An adaptive cascade stochastic resonance(ACSR) is proposed in the present study. The proposed method introduces correlation theory into SR,and uses correlation coefficient of the input signals and noise as a weight to construct the weighted signal-to-noise ratio(WSNR) index. The influence of high frequency noise is alleviated and the signal-to-noise ratio index used in traditional SR is improved accordingly. The ACSR with WSNR can obtain optimal parameters adaptively. And it is not necessary to predict the exact frequency of the target signal. In addition,through the secondary utilization of noise,ACSR makes the signal output waveform smoother and the fluctuation period more obvious. Simulation example and engineering application of gearbox fault diagnosis demonstrate the effectiveness and feasibility of the proposed method. | LI Bing LI JiMeng HE ZhengJia | 2011 | Science China(Technological Sciences)2011，54，12： | 6 |
| 8 | 预测铣削稳定性的Hamming线性多步法显示文摘针对铣削加工过程中产生的振动现象,提出了一种Hamming线性多步法(HAMM)来预测铣削加工过程中的稳定性。考虑再生颤振的铣削加工动力学方程可以表示为时滞线性微分方程,将刀齿周期划分为自由振动阶段和强迫振动阶段,对强迫振动阶段进行离散,运用HAMM方法构建状态传递矩阵,利用Floquet理论,判定系统的稳定性,获得系统的稳定性叶瓣图。Matlab软件仿真结果表明,HAMM方法是预测铣削稳定性的一种有效方法。随着离散数的增加,HAMM方法的收敛速度要快于一阶半离散法(1st-SDM)和二阶全离散法(2nd-FDM),离散数较少的HAMM方法能达到和离散数较多的1st-SDM方法和2nd-FDM方法的局部离散误差。此外,在单自由度和双自由度动力学模型下,由三种方法的稳定性叶瓣图可以看出,HAMM方法预测铣削稳定性的精度均好于1st-SDM方法和2nd-FDM方法,计算效率远远高于1st-SDM方法和2nd-FDM方法。实验结果表明,HAMM方法是一种有效的预测铣削稳定性的方法。 | 智红英 闫献国 杜娟 曹启超 | 2018 | 振动与冲击2018，37，22： | 4 |
| 9 | A model for nanogrinding based on direct evidence of ground chips of silicon wafers显示文摘Nanometer chips were directly fabricated using face nanogrinding carried out by ultrafine diamond grits at room temperature. Direct evidence for ground nanometer chips is cuboid, and the average ratio of width to thickness is 1.49. Chips of 9.0 nm in thickness, 13.3 nm in width, and 16.0 in diagonal were achieved and confirmed using transmission electron microscopy. Based on the nanometer chips observed, a model was proposed according to the mass conservation and fundamental mechanism of face grinding. The surface roughness and thickness of damaged layers measured experimentally are in good agreement with the prediction of the developed model. The feed rate significantly affects the surface roughness and thickness of damaged layers, when keeping the wheel and table speeds constant, respectively. | ZHANG ZhenYu HUO YanXia GUO DongMing | 2013 | Science China(Technological Sciences)2013，56，9： | 4 |
| 10 | A synthetic criterion for early recognition of cutting chatter显示文摘Cutting chatter is a violent self-excited vibration between a tool and a workpiece.Its negative effects mainly include poor surface quality,inferior dimensional accuracy,disproportionate tool wear or tool breakage,and excessive noise.Therefore,early recognition and online suppression of chatter vibration are necessary.This paper proposes a novel synthetic criterion(SC)for early chatter recognition.The proposed SC integrates standard deviation(STD)and one-step autocorrelation function(OSAF).Moreover,this paper revised the fast algorithm of OSAF.We can quantitatively divide a chatter vibration signal into three stages,which are stable stage,transition stage and chatter stage according to the SC.Compared with STD,the SC can improve the reliability of chatter recognition and the threshold of SC is not sensitive to variable cutting conditions.This paper presents an original algorithm of SC and its fast algorithm in detail.The fast algorithm of SC in this paper improves the computation efficiency compared with the original algorithm of SC.To validate the effectiveness of the proposed SC,a series of milling experiments were conducted under different cutting conditions.In these experiments,the vibration signals were acquired by two accelerometers mounted on the spindle house.The experimental results showed that the proposed SC could effectively recognize chatter vibration at an early stage of chatter vibration,which saved valuable time for online chatter suppression. | JIA GuangFei WU Bo HU YouMin XIE FengYun LIU Ao | 2013 | Science China(Technological Sciences)2013，56，11： | 3 |
| 11 | On time-domain methods for milling stability analysis显示文摘As a basic and advanced machining technique,the high-speed milling process plays an important role in realizing the goal of high performance manufacturing.From the viewpoint of machining dynamics,obtaining chatter-free machining parameters is a prerequisite to guaranteeing machining accuracy and improving machining efficiency.This paper gives an overview on recent progress in time domain semi-analytical methods for chatter stability analysis of milling processes.The state of art methods of milling stability prediction in milling processes and their applications are introduced in detail.The bottlenecks involved are analyzed,and potential solutions are discussed.Finally,a brief prospect on future works is presented. | DING Han DING Ye ZHU LiMin | 2012 | Chinese Science Bulletin2012，57，33： | 3 |
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