An investigation of the effects of the tool path on the removal of material in polishing

Tam, Hwa Yaw; Cheng, Haobo

doi:10.1016/j.jmatprotec.2010.01.012

Cited by 110 publications

(41 citation statements)

References 28 publications

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“…Many factors affect the polishing removal rate, such as polishing tool and polishing environment [21][22][23]. For the polishing tool, the main factors are material property, shape, and surface roughness.…”

Section: Removal Rate Of Polishingmentioning

confidence: 99%

“…Therefore, the study of removal function of different polishing path has a very important significance. A lots of polishing paths in mechanical polishing process can be found in literatures [13][14][15][16][17][18]. The ultimate goal of the research about different polishing removal function is to select an optimal polishing path so as to avoid any under-polishing and over-polishing phenomenon and ensure the uniformity of the polishing process.…”

Section: Introductionmentioning

confidence: 99%

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Path planning of mechanical polishing process for freeform surface with a small polishing tool

Lin

et al. 2014

Robot. Biomim.

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Products with freeform surface are widely applied in industries, and the surface quality plays an important role in order to fulfill the targeted functions. As polishing path of small polishing tool affects the polishing removal function considerably, it is highly necessary to study the polishing path of freeform surface for obtaining good polishing efficiency and well-proportioned surface quality. By combining the Preston polishing removal function, the material removal model of small polishing tool under the control of constant polishing force and pressure is established. Based on this model, the material removal functions of scan line, Archimedean spiral, and Hilbert fractal polishing path are derived. The simulation results show that the Hilbert fractal polishing path has the best comprehensive performance. By using the projection relation of differential geometry, the optimal path generation algorithm of the Bézier surface based on Hilbert fractal polishing path is established. The polishing experiments are conducted on a self-developed polishing machine which is based on a parallel manipulator. The experimental results demonstrate that the surface roughness is improved from level 9 to level 11.

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Section: Removal Rate Of Polishingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Path planning of mechanical polishing process for freeform surface with a small polishing tool

Lin

et al. 2014

Robot. Biomim.

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“…Wang et al [16] have improved the removal contour of jet polishing by path offset, and combined with Hilbert path, the MSF error has been greatly improved. Tam et al [17,18] studied the generation algorithm of Peano path, and pointed out that the path with the variational processing direction can achieve the good removal uniformity. They also studied the influence of different tool paths (i.e., scanning path, bidirectional scanning path, Hilbert path, Peano path) on the material, and the results shown that the amplitudes of ripples under three paths (i.e., scanning path, bi-directional scanning path, Peano path) are consistent at the same path spacing.…”

Section: Introductionmentioning

confidence: 99%

Modelling and simulation of mid-spatial-frequency error generation in CCOS

Zhong

Huang

Chen

et al. 2018

J. Eur. Opt. Soc.-Rapid Publ.

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Background: The computer-controlled optical surfacing (CCOS) technology, which has advantages of high certainty and high convergence rate for surface error correction, has been widely applied in the manufacture of large-aperture optical elements. However, due to the convolution effect, the mid-spatial-frequency (MSF) errors are difficult to be restrained in CCOS. Methods: Consequently, this paper presents a theoretical and experimental investigation on the generation of MSF errors, aiming to reveal its main influencing factors, and figure out the optimized parameters and the controlling strategies for restraining MSF errors. A surface topography simulation model for the generation of MSF errors was established first. Based on which, orthogonal simulation experiments were designed and conducted for the following three parameters, i.e., tool influence function (TIF), path type, and path spacing. Subsequently, the proposed model was verified through the practical polishing experiments. Results and conclusions:The results demonstrated the influencing degree of the parameters and the optimized combination of parameters, and provided process guidance for restraining MSF errors in CCOS.

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“…For the polishing of complex metal surfaces, researches mainly concentrated on the polishing method [4][5][6][7][8][9][10], polishing tool and system [11][12][13][14], material removal mechanism [15,16], toolpath patterns [17,18], process parameter optimization [19,20], and data integration technique [21]. For example, Huang et al [11] developed a new clamp with a flexible polishing head and proposed a set of polishing integration process skills for polishing plastic mold steel, by which a mirror-like surface is achieved with good surface roughness and high precision.…”

Section: Introductionmentioning

confidence: 99%

“…It is conducted through the generation of a planer Hilbert curve in the X-Y domain and its orthogonal projection onto the curved surface of a workpiece. Recently, some works have focused on the evenness of polishing path [16,[29][30][31]. For example, in order to obtain highquality surfaces, Julien et al [29] defined the polishing path using a pattern repeated along a 3D carrier trajectory; the uniform tool wear and regular surface covering can be achieved via toolpath optimization.…”

Section: Introductionmentioning

confidence: 99%

An adaptive uniform toolpath generation method for the automatic polishing of complex surfaces with adjustable density

Sun

Feng

Guo

2015

Int J Adv Manuf Technol

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During automatic polishing process, path trajectory is an important factor affecting the quality of machining. In this paper, a path generation algorithm based on adaptive Hilbert curves which can cover the curved surface evenly is proposed. The generated path not only makes the coverage density adjustable but also is able to pass through the points on the curved surface in more directions which is helpful to get a finished part without stripes. Using the proposed algorithm, the uniform distributed grid points are obtained in the parameter domain and then these node points with adjustable density can be calculated accordingly. Thus, according to the construction rule of adaptive Hilbert curve, the objective toolpaths are subsequently obtained. After that, by means of a mapping strategy, the path trajectory can be obtained on the physical space. To verify the proposed algorithm, uniform polishing paths with variable density are planned on two typical curved surfaces. The result of the machining experiment shows that the curved mirror-like surface can be achieved, and it also indicates the applicability of the proposed method.

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An investigation of the effects of the tool path on the removal of material in polishing

Cited by 110 publications

References 28 publications

Path planning of mechanical polishing process for freeform surface with a small polishing tool

Path planning of mechanical polishing process for freeform surface with a small polishing tool

Modelling and simulation of mid-spatial-frequency error generation in CCOS

An adaptive uniform toolpath generation method for the automatic polishing of complex surfaces with adjustable density

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