A geometric error budget method to improve machining accuracy reliability of multi-axis machine tools

Zhang, Ziling; Cai, Ligang; Cheng, Qiang; Liu, Zhifeng; Gu, Peihua

doi:10.1007/s10845-016-1260-8

Cited by 69 publications

(24 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many researchers and users have conducted a lot of in-depth research and experiments on reliability distribution [6]. There are also a series of achievements in the reliability distribution of CNC machine tools [7,8]. In recent years, the reliability distribution method has been constantly optimized [9].…”

Section: Introductionmentioning

confidence: 99%

A new reliability allocation method for machine tools using the intuitionistic trapezoidal fuzzy numbers and TOPSIS

Cheng

Wang

Sun

et al. 2021

Int J Adv Manuf Technol

Self Cite

View full text Add to dashboard Cite

The reliability allocation of machine tools which is a multi-attribute decision making problem has great significance in designment of machine tools. This paper integrates the intuitionistic trapezoidal fuzzy numbers and performance sorting technique based on similar ideal solutions to achieve the flexible allocation of machine tools reliability. Firstly, intuitionistic trapezoidal fuzzy numbers are employed to integrate decisions made by multiple decision makers and fuzzy information of their preferences. Then, intuitionistic trapezoid fuzzy numbers' expectations are treated as the weights of criteria. Finally, performance sorting technique based on similar ideal solutions is used to obtain the reliability allocation weight of every subsystem. To investigate the efficacy and simplicity of the provided approach, reliability distribution in a CNC machine tool is introduced as an example to explain its specific contents. It can be concluded that the provided method is more precise and convenient by comparing the results of this approach with those obtained by analytic hierarchy process method.

show abstract

Section: Introductionmentioning

confidence: 99%

A new reliability allocation method for machine tools using the intuitionistic trapezoidal fuzzy numbers and TOPSIS

Cheng

Wang

Sun

et al. 2021

Int J Adv Manuf Technol

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, the tool path and the tool rotation profile have important influence on the machining surface [4][5][6]. The geometric errors of machine tool, workpiece locating errors, thermal deflection errors of machine axes will cause the deviation of tool location and tool orientation, which will lead to a tool path error [7][8][9]. The tool errors including radial dimensional error, setup error, wear and deflection will cause the geometric error of the rotation profile when the tool is rotating [5,[10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…3–5 The geometric errors of machine tool, workpiece locating errors, and thermal deflection errors of machine axes will cause the deviation of tool location and orientation, which will lead to tool path error. 6–8 The tool errors including radial dimensional error, setup error, wear and deflection will cause the geometric error of the rotation profile when tool is rotating. 4,9–13 Contact width between the tool and workpiece in flank milling is larger than that in ball-end milling, so the surface accuracy of the workpiece is more easily affected by the tool rotation profile.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Prediction of machining accuracy based on geometric error estimation of tool rotation profile in five-axis multi-layer flank milling process

Jiang

Wang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

In five-axis multi-layer flank milling process, the geometric error of tool rotation profile caused by radial dimension error and setup error has great influence on the machining accuracy. In this work, a new comprehensive error prediction model considering the inter-layer interference caused by tool rotation profile error is established, which incorporates a pre-existing prediction model dealing with a variety of errors such as geometric errors of machine tool, workpiece locating errors, and spindle thermal deflection errors. First, a series of tool contact points on the tool swept surface in each single layer without overlapping with others are calculated. Second, the position of the tool contact points on the overlapped layers is updated based on the detection and calculation of inter-layer interferences. Third, all evaluated tool contact points on the final machined surface are available for completing the accuracy prediction of the machined surface. A machining experiment has been carried out to validate this prediction model and the results show the model is effective.

show abstract

“…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). Later on, many researches focused on error identification of rotary axis (Fu et al 2015), which makes the definition of the error model for 5 axis machines such a complex task, and still a topic of interest (Zhang et al 2019).…”

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

A geometric error budget method to improve machining accuracy reliability of multi-axis machine tools

Cited by 69 publications

References 31 publications

A new reliability allocation method for machine tools using the intuitionistic trapezoidal fuzzy numbers and TOPSIS

A new reliability allocation method for machine tools using the intuitionistic trapezoidal fuzzy numbers and TOPSIS

Prediction of machining accuracy based on geometric error estimation of tool rotation profile in five-axis multi-layer flank milling process

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

Contact Info

Product

Resources

About