Sensitivity analysis of machining accuracy of multi-axis machine tool based on POE screw theory and Morris method

Cheng, Qiang; Feng, Qiunan; Liu, Zhifeng; Gu, Peihua; Zhang, Guojun

doi:10.1007/s00170-015-7791-x

Cited by 55 publications

(13 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, they identified the main components affecting the machining accuracy. Cheng et al 35 proposed a method based on the product of exponential (POE) screw theory and Morris approach for global sensitivity analysis of volumetric machining accuracy.…”

Section: Sensitivity Analysis Methods and Accuracy Distributionmentioning

confidence: 99%

A new geometric error budget method of multi-axis machine tool based on improved value analysis

Cheng

Dong

Liu

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part C:

Self Cite

View full text Add to dashboard Cite

The improvement of the accuracy grade of main components in the production process through balancing between function and cost helps to improve the overall accuracy of machine tools. Therefore, this paper presents an improved value analysis method and uses the method of global sensitivity analysis and geometric error correlation analysis to analyze and optimize the error parameters of a 4-axis machining tool based on the proposed method. The geometric error modeling of the 4-axis machine tool was established by using the homogeneous transformation matrices (HTMs). By using global sensitivity analysis, the degree of influence of each error parameter on the accuracy of machine tool was obtained, and functional coefficient and cost coefficient of value analysis were gained by correlation analysis. An optimization model for geometric error budget of machine tool was established according to the improved value analysis theory, and the machining accuracy of machine tool was optimized according to the improved value analysis method.

show abstract

Section: Sensitivity Analysis Methods and Accuracy Distributionmentioning

confidence: 99%

A new geometric error budget method of multi-axis machine tool based on improved value analysis

Cheng

Dong

Liu

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part C:

Self Cite

View full text Add to dashboard Cite

show abstract

“…Morris's method is the most typical one, it computes the Elementary Effects at different position in the input space and then take the average of them as importance index [19]. It's used by Cheng to identify the key geometric errors which have a greater influence on the machining tool accuracy [20]. Nonparametric methods are also called sampling based methods, they use statistical characterization of input and output sample points to reflect the impact of input factors.…”

Section: Literature Reviewmentioning

confidence: 99%

Importance Measure Method for Sources of System Output Error Based on Decomposition of Second-Order Moment

Sun

Cui

et al. 2019

IEEE Access

View full text Add to dashboard Cite

In this paper, we propose an error importance measure (EIM) method to quantify the relative contribution of error sources to the system output error. In order that the contribution of both variation and mean shift of error sources are taken into account, we use second-order moment to characterize the degree of system output deviation from ideal or target value. First, the second-order moment is decomposed into a series of terms through the Taylor series expansion, and the individual effects, the interaction effects, and the total effects for one or a group of error sources are defined accordingly. Second, we define the EIM indices as the value of total effect divided by second-order moment of output error. Third, three test models and an application case are introduced to demonstrate the effectiveness and engineering significance of the proposed EIM indices. The results show that the EIM indices can reflect both the impacts of variation and mean the shift in error sources.

show abstract

“…More recently, a model for the evaluation of the machining accuracy has been proposed by Cheng et al (2016). The first efforts in error modelling mainly concentrated on 3 axis machine tools, as highlighted by an extensive survey in the article of Khan and Wuyi (2010).…”

Section: Introductionmentioning

confidence: 99%

The optimization of the control logic of a redundant six axis milling machine

Caputi

Russo

2020

J Intell Manuf

View full text Add to dashboard Cite

The primary task of machine tools is simultaneously positioning and orienting the cutting tool with respect to the work piece. The mechanism must avoid positioning errors, and limit forces and torques required to the motors. A novel approach for combined design and control of manufacturing means is proposed in this work. The focus is on the optimization of the control logic of a redundant 6 axis milling machine, derived from the 5 axis milling machine by adding redundant degree of freedom to the work piece table. The new mechanism is able to fulfill a secondary task due to the introduction of redundancy. The proposed methodology sets as secondary task the minimization of the rotary motors torque, or the minimization of the norm of the positioning error. The control is based on the solution of a constrained optimization problem, where the constraints equations are the kinematic closure equations, and the objective function is the table motor torque or the positioning error of the tool tip. The implementation of this framework in the virtual machine model of the mechanism shows an improvement of the performances: actually, the introduction of a redundant axis allows the minimization of the torques and position errors.

show abstract

Sensitivity analysis of machining accuracy of multi-axis machine tool based on POE screw theory and Morris method

Cited by 55 publications

References 39 publications

A new geometric error budget method of multi-axis machine tool based on improved value analysis

A new geometric error budget method of multi-axis machine tool based on improved value analysis

Importance Measure Method for Sources of System Output Error Based on Decomposition of Second-Order Moment

The optimization of the control logic of a redundant six axis milling machine

Contact Info

Product

Resources

About