Tool-path planning with constraint of cutting force fluctuation for curved surface machining

Ma, Jian-wei; Song, De-Ning; Zhang, Jia; Hu, Guo-qing; Sui, Weiwei; Si, Likun

doi:10.1016/j.precisioneng.2017.11.002

Cited by 26 publications

(11 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In step 4, the predicted error is calculated by equation (12), where P (4) max (u) can be searched in larger areas. That is to separate the unsmooth area from the smooth area, as the control points of the cubic B-spline always have influences in four adjacent knot intervals.…”

Section: Cubic B-spline Fitting Processmentioning

confidence: 99%

“…To verify the given accuracy knot vector distribution method, different accuracy requirements are given for the B-spline fitting process. The knot vector is distributed by equation (12) and control points are calculated by the LS method. First, the relationship of the absolute maximum fitting error, absolute even fitting error, and number of control points with the given accuracy requirements are presented in Figure 6.…”

Section: Calculation Analysismentioning

confidence: 99%

“…Nowadays, tool path planning for a freeform surface is another important topic of research. [10][11][12] However, generating a spline tool path under those rules will be more difficult. Therefore, a numerical calculation will still be used in tool path planning, and a set of discrete points will still be the main format of the tool path planning results.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Machine tool movement control method combining the benefit of software and real-time interpolator for sculpture surface machining

Han

Zhou³

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

In the traditional sculpture surface machining process, the G01 code is still the mainstream trajectory. Furthermore, real-time feedrate scheduling and corner smooth algorithm in controller constitute the mainstream method to improve the machining process of short line G01 code in sculpture surface machining. However, the G01 code’s discontinuity and the limits of real-time calculation capacity hinder the use of high-speed machine tools and the accuracy of the machined part. In this article, a new method for sculpture surface machining that considers the advantages and disadvantages of both the computer-aided manufacturing software and the real-time controller is presented to promote the use of a continuous curve tool path. The method mainly transfers the computing-intensive feedrate scheduling and trajectory optimization algorithm in the real-time controller to the computer-aided manufacturing software. Furthermore, the computer-aided manufacturing software generates the machining data, which contain the geometry and feedrate information of the machining process. Finally, the real-time interpolator and the mathematical form of computer-aided manufacturing–generated data are designed simultaneously. In the method, the real-time controller can be designed as simple as possible to release more computing resources to the other real-time intelligent modules. The powerful computational capacity of the software guarantees the optimality of the machining process.

show abstract

Section: Cubic B-spline Fitting Processmentioning

confidence: 99%

Section: Calculation Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Machine tool movement control method combining the benefit of software and real-time interpolator for sculpture surface machining

Han

Zhou³

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

show abstract

“…Hoang et al [8] presented a novel monitoring model based on the independent force component model established based on cutting mode parameters by the milling method. Ma et al [9] proposed the parameter estimation procedure according to the machining conditions combined with the particle filtering algorithm in the STW prediction model. So far, studies on STW applied to HSM are still limited and need to be further studied.…”

Section: Introductionmentioning

confidence: 99%

Application of vibration singularity analysis, stochastic tool wear, and GPR-MOPSO hybrid algorithm to monitor and optimise power consumption in high-speed milling

Hoang Tien,

Duc Quy,

Pham Thi Thieu

et al. 2022

Manufacturing Rev.

View full text Add to dashboard Cite

Power consumption in manufacturing direct affects production costs and the environment. Therefore, the process of evaluating and researching power consumption in the machining process is very important. During high-speed milling, the power consumption varie`s due to tool wear and radial deviation. Therefore, a new model power consumption optimization is proposed based on cutting mode factors taking into account tool wear and radial deviation. In the existing power consumption models, studies on the effects of radial deviation and tool wear have not been thoroughly investigated. Stochastic tool wears established during high-speed milling is established in combination with the cutting force analysis model and wavelet singularity vibration point analysis. The nonlinear processes due to stochastic tool wear and cutting edge geometry were considered in the model. To optimize power consumption and establish a model for the real-time prediction of power consumption, a new GPR–MOPSO hybrid algorithm was developed based on Gaussian process regression (GPR) and multi-objective particle swarm optimizations (MOPSO). In order to verify the feasibility proposed monitoring and optimization model, experimental processes high-speed milling have been established. Results showed that the presented improvement model will reduce power consumption by 20.38% compared with manufacturer manuals chosen process parameters.

show abstract

“…Moreover, eliminating the excessive cutting force during Hastelloy X machining has become a constant pressure on aerospace manufacturers. The ability to eliminate excessive cutting force can contribute not only to the quality of machined materials [6][7][8][9][10] and extend the cutting tool life [6,7], but also can minimise the rate of production cost [8] and maximise productivity [9,10]. Cutting force is commonly divided into three components, which are feed force, normal force and axial force [8].…”

Section: Introductionmentioning

confidence: 99%

Effect of Increasing Spindle Speed at a Constant Chip Load on Cutting Force Behaviour of Hastelloy X

Nor¹,

Baharudin²,

Ghani³

et al. 2021

IJAME

View full text Add to dashboard Cite

Cutting force is vital in machining nickel-based superalloys due to their excellent mechanical properties, thus creating difficulty in cutting. In the current scenario of metal machining, milling processes require high spindle speed and low chip load, which result in a low cutting force. However, low chip load not only result in low cutting force but also result in a low material removal rate (MRR). It is contrary to the ultimate high-speed machining (HSM) goal, which is to improve productivity and cost-effectiveness. Therefore, the emergence of an approach for achieving simultaneous low cutting force and high MRR is crucial. This paper presents the effect of increasing spindle speed at a constant chip load on the cutting force of Hastelloy X during half-immersion up-milling and half-immersion down-milling. In both half-immersions, the simulation results and experimental results are in good agreement. The percentage contribution of feed force, normal force and axial force to the resultant force can be arranged descendingly from high to low as axial force > normal force > axial force. Moreover, feed force, normal force, axial force and resultant force have a U-shaped behaviour. The spindle speed of 24,100 rpm and a chip load of 0.019 mm/tooth were found to achieve both low cutting force and high MRR.

show abstract

Tool-path planning with constraint of cutting force fluctuation for curved surface machining

Cited by 26 publications

References 19 publications

Machine tool movement control method combining the benefit of software and real-time interpolator for sculpture surface machining

Machine tool movement control method combining the benefit of software and real-time interpolator for sculpture surface machining

Application of vibration singularity analysis, stochastic tool wear, and GPR-MOPSO hybrid algorithm to monitor and optimise power consumption in high-speed milling

Effect of Increasing Spindle Speed at a Constant Chip Load on Cutting Force Behaviour of Hastelloy X

Contact Info

Product

Resources

About