Dynamics Modeling of Clamping System Considering Characteristics of the Clamping Contact Surface

2015 ◽  
Author(s):  
Yanmin Zhao ◽  
Jianfu Zhang ◽  
Pingfa Feng ◽  
Yuan Ma
Keyword(s):  
Contact Surface ◽  
Turning Process ◽  
Dynamics Modeling ◽  
Cutting Stability ◽  
Receptance Coupling ◽  
Substructure Analysis ◽  
Clamping System ◽  
Receptance Coupling Substructure Analysis ◽  
The Stability

The dynamic characteristics of the clamping system, which is composed of workpiece and chuck, have important effects on the stability of turning process. However, in current researches on cutting stability, the influence of the characteristics of clamping contact surface on the clamping system was rarely considered. In order to improve the prediction accuracy of stable cutting limits in turning process, the role of clamping contact surface in deciding the dynamics of the clamping system was analyzed in this paper. Then, the dynamics model of clamping system was established considering the characteristics of clamping contact surface between workpiece and chuck. The dynamics parameters of the clamping system were obtained with receptance coupling substructure analysis method. The frequency response function of clamping system at different cutting position was presented, which is a foundation for analyzing the cutting stability.

RCSA-Based Method for Tool Frequency Response Function Identification Under Operational Conditions Without Using Noncontact Sensor

2017 ◽  
Vol 139 (6) ◽  
Author(s):  
Rong Yan ◽  
Xiaowei Tang ◽  
Fangyu Peng ◽  
Yuting Li ◽  
Hua Li
Keyword(s):  
Frequency Response ◽  
Response Function ◽  
Frequency Response Function ◽  
Fem Simulation ◽  
Operational Conditions ◽  
Receptance Coupling ◽  
Substructure Analysis ◽  
Cutting Experiment ◽  
Receptance Coupling Substructure Analysis ◽  
The Stability

The stability lobe diagrams predicted using the tool frequency response function (FRF) at the idle state usually have discrepancies compared with the actual stability cutting boundary. These discrepancies can be attributed to the effect of spindle rotating on the tool FRFs which are difficult to measure at the rotating state. This paper proposes a new tool FRF identification method without using noncontact sensor for the rotating state of the spindle. In this method, the FRFs with impact applied on smooth rotating tool and vibration response tested on spindle head are measured for two tools of different lengths clamped in spindle–holder assembly. Based on those FRFs, an inverse receptance coupling substructure analysis (RCSA) algorithm is developed to identify the FRFs of spindle–holder–partial tool assembly. A finite-element modeling (FEM) simulation is performed to verify the validity of inverse RCSA algorithm. The tool point FRFs at the spindle rotating state are obtained by coupling the FRFs of the spindle–holder–partial tool and the other partial tool. The effects of spindle rotational speed on tool point FRFs are investigated. The cutting experiment demonstrates that this method can accurately identify the tool point FRFs and predict cutting stability region under spindle rotating state.

Three-Component Receptance Coupling Substructure Analysis for Tool Point Dynamics Prediction

2005 ◽  
Vol 127 (4) ◽  
pp. 781-790 ◽  
Author(s):  
Tony L. Schmitz ◽  
G. Scott Duncan
Keyword(s):  
Finite Difference ◽  
High Speed ◽  
Experimental Validation ◽  
Second Generation ◽  
Standard Test ◽  
High Speed Machining ◽  
Receptance Coupling ◽  
Substructure Analysis ◽  
Receptance Coupling Substructure Analysis ◽  
Tool Assembly

In this paper we present the second generation receptance coupling substructure analysis (RCSA) method, which is used to predict the tool point response for high-speed machining applications. This method divides the spindle-holder-tool assembly into three substructures: the spindle-holder base; the extended holder; and the tool. The tool and extended holder receptances are modeled, while the spindle-holder base subassembly receptances are measured using a “standard” test holder and finite difference calculations. To predict the tool point dynamics, RCSA is used to couple the three substructures. Experimental validation is provided.

scholarly journals Estimation of the Frequency Response Function of the Rotational Degree of Freedom

2021 ◽  
Vol 11 (18) ◽  
pp. 8527
Author(s):  
Ji-wook Kim ◽  
Jae-wook Lee ◽  
Kun-woo Kim ◽  
Ji-heon Kang ◽  
Min-seok Yang ◽  
...  
Keyword(s):  
Dynamic Characteristics ◽  
Cutting Tool ◽  
Finite Difference Methods ◽  
Cutting Tools ◽  
Degree Of Freedom ◽  
Rotational Degree ◽  
Receptance Coupling ◽  
Substructure Analysis ◽  
Receptance Coupling Substructure Analysis ◽  
Tool Cutting

One of the factors that influence the dynamic characteristics of machining systems is the cutting tool. Cutting tools are very diverse, and receptance coupling substructure analysis (RCSA) is essential for analyzing the dynamic characteristics of each tool. For RCSA, a full receptance matrix of the equipment and tools is essential. In this study, rotational degree-of-freedom receptance was estimated and analyzed using translational receptance. Displacement/moment receptance was analyzed according to the distance of the response point using the first-and second-order finite difference methods. The rotation/moment receptance was estimated according to the distance of the response point. Rotation/moment receptance was analyzed using Schmitz’s method and compensation strategies. The limitations of these strategies were analyzed, and the rotation/moment receptance for the beam under free-free boundary conditions was predicted using the second compensation strategy.

Development of Inverse Receptance Coupling Method for Prediction of Milling Dynamics

2010 ◽  
Author(s):  
M. M. Rezaei ◽  
M. R. Movahhedy ◽  
M. T. Ahmadian ◽  
H. Moradi
Keyword(s):  
Frequency Response Function ◽  
Experimental Validation ◽  
Analytical Investigation ◽  
Receptance Coupling ◽  
Milling Tool ◽  
Substructure Analysis ◽  
Joint Parameters ◽  
Receptance Coupling Substructure Analysis ◽  
Milling Dynamics

Receptance coupling substructure analysis (RCSA) is extensively used to determine the dynamic response of milling tool at its tip for the purpose of prediction of machining stability. A major challenge in using this approach is the proper modelling of the joint between the substructures and determination of its parameters. In this paper, an inverse RCSA is developed for experimental extraction of tool-holder frequency response function (FRF) including joint parameters. The accuracy and efficiency of this method is evaluated through an analytical investigation. It is shown that the extracted holder FRF can provide a highly accurate prediction of the tool tip FRF. The developed method is used in prediction of tool tip FRF with different values of the tool overhang. The proposed approach is validated through experimental validation.

Identification of Toolholder-Spindle Joint Based on Receptance Coupling Substructure Analysis

2013 ◽  
Vol 345 ◽  
pp. 539-542
Author(s):  
Li Jun Zhai ◽  
Xiao Lei Song ◽  
Li Gang Cai
Keyword(s):  
Dynamic Response ◽  
Machine Tool ◽  
Frequency Response ◽  
Spindle Assembly ◽  
Response Functions ◽  
Identification Method ◽  
Receptance Coupling ◽  
Basic Work ◽  
Substructure Analysis ◽  
Receptance Coupling Substructure Analysis

Stiffness identification of toolholder-spindle joint is a basic work for machine tool dynamic research. In this paper, an identification method based on receptance coupling substructure analysis is described. Once the frequency response functions of the toolholder, the spindle and the toolholder-spindle assembly are obtained, the analytical stiffness could be calculated. The method is verified efficiency through dynamic response experiment. Identified stiffness results under different drawbar forces are also discussed.

Fixed Boundaries Receptance Coupling Substructure Analysis for Tool Point Dynamics Prediction

2011 ◽  
Vol 223 ◽  
pp. 622-631 ◽  
Author(s):  
Iker Mancisidor ◽  
Mikel Zatarain ◽  
Jokin Munoa ◽  
Zoltan Dombovari
Keyword(s):  
Frequency Response Function ◽  
Impact Test ◽  
Dynamic Behaviour ◽  
New Approach ◽  
Stability Diagrams ◽  
Important Improvement ◽  
Receptance Coupling ◽  
Substructure Analysis ◽  
Receptance Coupling Substructure Analysis ◽  
Fixed Boundaries

In many applications, chatter free machining is limited by the flexibility of the tool. Estimation of that capacity requires to obtain the dynamic transfer function at the tool tip. Experimental calculation of that Frequency Response Function (FRF) is a time consuming process, because it must be done using an impact test for any combination of tool, toolholder and machine. The bibliography proposes the Receptance Coupling Substructure Analysis (RCSA) to reduce the number of experimental test. A new approach consisting of calculating the fixed boundary dynamic behaviour of the tool is proposed in the paper. This way the number of modes that have to be considered is low, just one or two for each bending plane, and it supposes an important improvement in the application of the RCSA to the calculation of stability diagrams. The predictions of this new method have been verified experimentally.

Tool Point Frequency Response Prediction for High-Speed Machining by RCSA

2001 ◽  
Vol 123 (4) ◽  
pp. 700-707 ◽  
Author(s):  
Tony L. Schmitz ◽  
Matthew A. Davies ◽  
Michael D. Kennedy
Keyword(s):  
Frequency Response ◽  
High Speed ◽  
Response Prediction ◽  
High Speed Machining ◽  
Receptance Coupling ◽  
Substructure Analysis ◽  
Receptance Coupling Substructure Analysis ◽  
Shrink Fit ◽  
Chatter Stability Prediction ◽  
Analytic Prediction

The implementation of high-speed machining for the manufacture of discrete parts requires accurate knowledge of the system dynamics. We describe the application of receptance coupling substructure analysis (RCSA) to the analytic prediction of the tool point dynamic response by combining frequency response measurements of individual components through appropriate connections. Experimental verification of the receptance coupling method for various tool geometries (e.g., diameter and length) and holders (HSK 63A collet and shrink fit) is given. Several experimental results are presented to demonstrate the practical applicability of the proposed method for chatter stability prediction in milling.

Tool Point Frequency Response Prediction for Micromilling by Receptance Coupling Substructure Analysis

2017 ◽  
Vol 139 (7) ◽  
Author(s):  
Lu Xiaohong ◽  
Jia Zhenyuan ◽  
Zhang Haixing ◽  
Liu Shengqian ◽  
Feng Yixuan ◽  
...  
Keyword(s):  
Frequency Response ◽  
Response Function ◽  
Frequency Response Function ◽  
Research Work ◽  
Modal Parameters ◽  
Rotational Degree ◽  
Receptance Coupling ◽  
Milling Tool ◽  
Substructure Analysis ◽  
Receptance Coupling Substructure Analysis

One of the challenges in micromilling processing is chatter, an unstable phenomenon which has a larger impact on the microdomain compared to macro one. The minimization of tool chatter is the key to good surface quality in the micromilling process, which is also related to the milling tool and the milling structure system dynamics. Frequency response function (FRF) at micromilling tool point describes dynamic behavior of the whole micromilling machine-spindle-tool system. In this paper, based on receptance coupling substructure analysis (RCSA) and the consideration of rotational degree-of-freedom, tool point frequency response function of micromilling dynamic system is obtained by combining two functions calculated from beam theory and obtained by hammer testing. And frequency response functions solved by Timoshenko's and Euler's beam theories are compared. Finally, the frequency response function is identified as the modal parameters, and the modal parameters are transformed into equivalent structural parameters of the physical system. The research work considers the difference of theoretical modeling between the micromilling and end-milling tool and provides a base for the dynamic study of the micromilling system.

Predicting Tool Point FRF by RCSA in High Speed Milling

2014 ◽  
Vol 1006-1007 ◽  
pp. 398-402
Author(s):  
Kun Long Wen ◽  
Hou Jun Qi
Keyword(s):  
High Speed ◽  
Beam Model ◽  
High Speed Milling ◽  
Receptance Coupling ◽  
Substructure Analysis ◽  
Joint Connection ◽  
Machine Spindle ◽  
Receptance Coupling Substructure Analysis ◽  
Tool Shank ◽  
Euler Bernoulli Beam

Tool point frequency response function (FRF) is the key parameters to predict the milling stability in high-speed milling. Receptance coupling substructure analysis (RCSA) is described to predict the tool point FRF. The major difficulties in RCSA are the identification of joint connection parameters and the obtaining of FRFs of substructure. This paper separation of the milling system into three substructures: the machine-spindle-holder taper, the extended holder-tool shank, and the tool extended portion. Develop the connection model compose of linear and rotational springs and dampers. Determine the substructure FRF by measurement and Euler-Bernoulli beam model. Tool point FRF is obtained by coupling the substructure FRFs through the connection model by RCSA.

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