Geometric Generating Mechanism of Machined Surface by Ball-nosed End Milling

Mizugaki, Yoshio; Hao, Minghui; Kikkawa, Koichi; Nakagawa, Tomoyuki

doi:10.1016/s0007-8506(07)62073-3

Cited by 45 publications

(28 citation statements)

References 1 publication

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“…In particular, the topic of modelling topography seems to have recently attracted the attention of different researchers. In 2001, Mizugaki et al [1] presented a model for the prediction of surfaces machined by ball-end milling in sphere contours, and two years later [2] they improved the model to include the effects of the tool orientation on the surface texture and on the cusp height. Bouzakis et al [3] in 2003 developed an algorithm for the prediction of surface roughness with a view of selecting cutting conditions and milling strategies to optimize roughness and cutting time.…”

Section: Introductionmentioning

confidence: 99%

Model development for the prediction of surface topography generated by ball-end mills taking into account the tool parallel axis offset. Experimental validation

et al. 2008

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Section: Introductionmentioning

confidence: 99%

Model development for the prediction of surface topography generated by ball-end mills taking into account the tool parallel axis offset. Experimental validation

et al. 2008

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“…The used geometric models can range from the simplest one, a series of points [15], to the most complex one, facetised surface description or representation using Zbuffer or Dexel [16].…”

Section: Geometric Modelmentioning

confidence: 99%

Survey on Simulation Methods in Multi-axis Machining

Bouhadja

Bey

2015

Transactions on Engineering Technologies

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In industry, the evolution of productivity and quality of mechanical manufacture of complex shape parts (mold, automobile, form : : : ) is marked by the development of several machining simulation techniques for modeling and predicting the manufacturing process to represent the most realistic cut phenomenon. There exist several machining simulation techniques and touch various levels. Thus, this chapter summarizes the literature review and presents the techniques in a simplified scheme for the rapid exploration in this area, and in order to direct the reader to select an appropriate approach linked to a geometric or physical problem at a given scales in Part-Tool-Machine system. Particular attention is given to geometric simulation methods of the macroscopic scale; completed by brief comparison between models of workpiece representation for material removal process (Dexel, Voxel, Triple-Dexel).

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“…Engin and Altintas [10] presented a mathematical model for the most common helical endmills seen in industry, and predicted and measured the surface finish from using these mills. Mizugaki et al [11,12] presented geometric methods to estimate the profile of the machined surface in ball-nose endmilling. The authors developed a generalized analytical model that took into account the toolworkpiece orientation angle, as well as the cutting path in predicting the profile of the machined surface.…”

Section: Endmilling Surface Generationmentioning

confidence: 99%

Improving endmilling surface finish by workpiece rotation and adaptive toolpath spacing

Vijayaraghavan

Hoover

Hartnett

et al. 2009

International Journal of Machine Tools and Manufacture

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a b s t r a c tFree-form surfaces are being used in a growing number of engineering applications, especially in injection molding of consumer products. Decreasing the manufacturing cost and time of these molds will improve the efficiency of manufacturing injection molded consumer products. This paper is motivated by the need for simple strategies to improve the quality of and decrease the time required to machine free-form surfaces. We present two methods to improve the surface finish of parts finished with ball-nose endmilling. In the first method the surface finish is improved by finding an optimal orientation angle for the workpiece relative to the machining axis. In the second method finish is improved by adaptively varying the step-size when using raster toolpaths. The adaptive variation is controlled by a user-defined finish improvement factor, where the spacing density is increased only if the improvement in surface finish is greater than the finish improvement factor. These methods are implemented using an analytical model of the workpiece surface finish based on the mean scallop height of the machined surface. Results from the analytical model are verified with machining experiments, and we show that the adaptive spacing strategy can improve the surface quality by more than 50% with a small increase in the toolpath length. To achieve a similar improvement in surface quality by uniformly decreasing the path spacing results in a much larger increase in the toolpath length. The strategies discussed in this paper allow process planners intuitive control over the toolpath layout and spacing and improve the efficiency of machining high quality parts.

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Geometric Generating Mechanism of Machined Surface by Ball-nosed End Milling

Cited by 45 publications

References 1 publication

Model development for the prediction of surface topography generated by ball-end mills taking into account the tool parallel axis offset. Experimental validation

Model development for the prediction of surface topography generated by ball-end mills taking into account the tool parallel axis offset. Experimental validation

Survey on Simulation Methods in Multi-axis Machining

Improving endmilling surface finish by workpiece rotation and adaptive toolpath spacing

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