Error compensation strategy in milling flexible thin-wall parts

Ratchev, Svetan; Liu, S.; Becker, A.A.

doi:10.1016/j.jmatprotec.2005.02.192

Cited by 119 publications

(68 citation statements)

References 16 publications

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“…Finally, another solution is the study of the process by means of optimization of the cutting conditions and the study of the dynamic response of the workpiece during the machining. This is a predictive knowledge-based solution, flexible and universal, as it can be applied to every part, and far less expensive than others [11,13,14].…”

Section: Research Results and Discussionmentioning

confidence: 99%

Influence of rigidity of the hardened parts on forming the shape accuracy during flat grinding

Soler

Dinh

2017

MATEC Web Conf.

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Abstract. At present time there is not information about the influence of rigidity of hardened steel parts on the parameters of flatness deviations: EFEmax, EFEa, EFEq, which are called correspondingly greatest, arithmetic average and quadratic average. To model the variable rigidity of workpieces, an arrangement with the frame structure was used. It allowed to simulate the variable compliance of parts with constant sizes in the direction of longitudinal feed of grinding machine. Searching for models of multiple dispersion analysis was carried out using the D-optimal plan of experiment. They predicted that in rough grinding all parameters of flatness deviations increase with the growth of the part rigidity. In the subsequent grinding stages, the increase of part rigidity is accompanied by the favorable decrease of the flatness deviations. The compliance of low-rigid parts in the finishing stage of grinding should be reduced using additional technological devices.

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Section: Research Results and Discussionmentioning

confidence: 99%

Influence of rigidity of the hardened parts on forming the shape accuracy during flat grinding

Soler

Dinh

2017

MATEC Web Conf.

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“…Different processing parameters must be carefully considered in different machining surfaces. To solve these problems, a lot of researches are focused on the cutting simulations [1]- [4]. The optimized cutting parameters can be obtained from simulations.…”

Section: Introductionmentioning

confidence: 99%

A Variable Stiffness Analysis Model for Large Complex Thin-Walled Guide Rail

Wang

2016

MATEC Web Conf.

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Abstract. Large complex thin-walled guide rail has complicated structure and no uniform low rigidity. The traditional cutting simulations are time consuming due to huge computation especially in large workpiece. To solve these problems, a more efficient variable stiffness analysis model has been propose, which can obtain quantitative stiffness value of the machining surface. Applying simulate cutting force in sampling points using finite element analysis software ABAQUS, the single direction variable stiffness rule can be obtained. The variable stiffness matrix has been propose by analyzing multi-directions coupling variable stiffness rule. Combining with the three direction cutting force value, the reasonability of existing processing parameters can be verified and the optimized cutting parameters can be designed.

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“…Law et al [10] calculated the cutting force from the measured milling torque, and integrated both the force and deflection models to develop a compensation methodology. However, currently the force modeling research has been mainly focused on theoretical rigid force models or mechanistic force models [11]. Budak and Altintas [12] considered the peripheral milling of a very flexible cantilever plate that incorporate a mechanistic force model and finite element methods.…”

Section: Introductionmentioning

confidence: 99%

“…Ratchev et al [16] proposed a flexible force model to study the tool deflection based on an extended perfect plastic layer model. They considered the endmilling cutter as a cantilever with the force acting at the cutter tip centre position [11]. However, the dynamic effect and the generated heat during machining were not considered, and the tool and the workpiece were assumed to deform to their static equilibrium position at any milling instant [1,17].…”

Section: Introductionmentioning

confidence: 99%

“…There is still a lack of a comprehensive milling simulation model which, taking into account the effects of the toolpath, and the cutting variables, simulates the thermomechanical aspects of machining [19]. Their applicability to model force in machining of thin-wall workpiece is limited due to the variability of material properties, cutting force, non-linear dependency on tool immersion angle and chip thickness [11]. Increased attention is being focused on the development of a computationally efficient milling process model, well capable to perform thermomechanical analysis of the metal cutting process.…”

Section: Introductionmentioning

confidence: 99%

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