Identification of cutter offset in end milling without a prior knowledge of cutting coefficients

Wang, Jiunn-Jyh Junz; Zheng, C. M.

doi:10.1016/s0890-6955(03)00028-2

Cited by 61 publications

(31 citation statements)

References 13 publications

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“…This difference, between static and dynamic tool runout, can be attributed to the non-inclusion, in static measurements, of several aspects affecting tool runout, such as uneven tooth spacing or dynamic effects. The same observation was reported by Wang and Zheng [5].…”

Section: Experimental and Simulation Resultssupporting

confidence: 88%

“…Other researchers have studied how tool runout affects cutting geometry in end milling [3] proposing equations to calculate chip thickness in the case of tool runout. The identification of simple eccentricity, produced when tool has a different rotation axis than the geometric axis, was studied by Liang and Wang,and Wang and Zheng [4,5] while Seethaler and Yellowley [6] focused * Corresponding author.…”

Section: Introductionmentioning

confidence: 99%

“…While static runout may come from spindle errors, thermal deformation, insert settings and tool dimensional errors, dynamic tool runout may arise from other sources such as cutting force variation, spindle and tool imbalance and non-uniform progression of tool wear. Important effects of tool runout in milling are the decrease of the milled surface quality and the increase in the radial and axial force variation [5], which may lead to shorter tool life under uneven wear conditions for each cutting edge.…”

Section: Introductionmentioning

confidence: 99%

“…Liang and Perry [14] proposed chip load compensation for the elimination of cutting force oscillations due to cutter runout. This correction was based on the control of the spindle frequency force component, since this component includes all the effects of runout on cutting forces, as various researchers have pointed out in previous articles [4,5]. This method is very effective, but the control time may be a limit at higher spindle speeds.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic analysis of runout correction in milling

Diez

Garcia

Villaseñor

et al. 2010

International Journal of Machine Tools and Manufacture

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Keywords:Milling Tool runout Cutting force control Piezoelectric actuator Tool runout and its effects is an important area of research within modelling, simulation, and control of milling forces. Tool runout causes tool cutting edges to experience uneven forces during milling. This fact also affects tool life and deteriorates workpiece surface quality. In this article a procedure, in order to diminish the effects of tool runout, is presented. The procedure is based on chip thickness modification by means of the fast correction of the tool feed rate. Dynamic feed rate modification is provided by superposing our own design of a fast feed system driven by a piezoelectric actuator to the conventional feed drive of the CNC machine tool. Previously, a model of the dynamic behaviour of the system was developed to analyze the influence of fast feed rate modification on cutting forces. The model incorporates the piezoelectric actuator response as well as the structural dynamics of the tool and the designed Fast Feed Drive System (FFDS). Simulated and experimental results presented in this paper show the effectiveness and benefits of this new tool runout correction procedure.

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Section: Experimental and Simulation Resultssupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Dynamic analysis of runout correction in milling

Diez

Garcia

Villaseñor

et al. 2010

International Journal of Machine Tools and Manufacture

View full text Add to dashboard Cite

show abstract

“…(Ranganath and Sutherland, 2002) developed a model for predicting tool radii and cutting forces in end milling, which included tool grinding errors, parallel axis offset and tilt. (Wang and Zheng, 2003) reported an analytical method to identify the 'offset geometry' in end milling from the measurements of the end milling force. For end milling (Ryu et al, 2006) obtained surface topographies in end milling considering errors produced not only by tool runout, tool eccentricity and tilt, but also tool deflection caused by cutting forces and back cutting of teeth.…”

Section: Introductionmentioning

confidence: 99%

Influence of eccentricity on roughness distributions in side milling

Buj-Corral

Calvet

González-Rojas

2016

Machining Science and Technology

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Herein is reported a study on the influence of eccentricity on the confidence intervals of roughness distributions obtained in side milling processes, for families of tools having a certain value of runout or tool grinding error. A model was previously developed to predict roughness along a line in the feed direction. It is based on the geometric intersection of the piece and the tool, and enables determination of a roughness profile as a function of feed, tool radii and eccentricity E. Arithmetic average roughness Ra and peak-to-valley roughness Rt were obtained for the tools within a family. Each family is defined by an average radius value and a standard deviation value of all tool radii. The

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2016

Milling Simulation

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Identification of cutter offset in end milling without a prior knowledge of cutting coefficients

Cited by 61 publications

References 13 publications

Dynamic analysis of runout correction in milling

Dynamic analysis of runout correction in milling

Influence of eccentricity on roughness distributions in side milling

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