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Journal ArticleDOI

Milling error prediction and compensation in machining of low-rigidity parts

TLDR
In this paper, a new integrated methodology for modelling and prediction of surface errors caused by deflection during machining of low-rigidity components is proposed. But this approach is based on identifying and modelling key processing characteristics that influence part deflection, predicting the workpiece deflection through an adaptive flexible theoretical force-FEA deflection model and providing an input for downstream decision making on error compensation.
Abstract
The paper reports on a new integrated methodology for modelling and prediction of surface errors caused by deflection during machining of low-rigidity components. The proposed approach is based on identifying and modelling key processing characteristics that influence part deflection, predicting the workpiece deflection through an adaptive flexible theoretical force-FEA deflection model and providing an input for downstream decision making on error compensation. A new analytical flexible force model suitable for static machining error prediction of low-rigidity components is proposed. The model is based on an extended perfect plastic layer model integrated with a FE model for prediction of part deflection. At each computational step, the flexible force is calculated by taking into account the changes of the immersion angles of the engaged teeth. The material removal process at any infinitesimal segment of the milling cutter teeth is considered as oblique cutting, for which the cutting force is calculated using an orthogonal–oblique transformation. This study aims to increase the understanding of the causes of poor geometric accuracy by considering the impact of the machining forces on the deflection of thin-wall structures. The reported work is a part of an ongoing research for developing an adaptive machining planning environment for surface error modelling and prediction and selection of process and tool path parameters for rapid machining of complex low-rigidity high-accuracy parts.

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Citations
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Journal ArticleDOI

Finite element method based machining simulation environment for analyzing part errors induced during milling of thin-walled components

TL;DR: In this article, a finite element method (FEM) based milling process verification model and associated tools are presented, which by considering the effects of fixturing, operation sequence, tool path and cutting parameters simulates the milling processes in a transient 3D virtual environment and predicts the part thin wall deflections and elastic-plastic deformations during machining.
Journal ArticleDOI

Modelling and simulation of micro-milling cutting forces

TL;DR: In this paper, a new approach for predicting micro-milling cutting forces using the finite element method (FEM) is presented, where the trajectory of the tool and the uncut chip thickness for different micro milling parameters (cutting tool radius, feed rate, spindle angular velocity, and number of flutes) are determined and used for predicting the cutting forces in micromilling.
Journal ArticleDOI

An advanced FEA based force induced error compensation strategy in milling

TL;DR: In this paper, a multi-level machining error compensation approach focused on force-induced errors in machining of thin-wall structures is introduced, which takes into account the deflection of the part in different points of the tool path.
Journal ArticleDOI

Deformation prediction and error compensation in multilayer milling processes for thin-walled parts

TL;DR: In this paper, the machining deformation of the previous layer will influence the nominal cutting depth of the current layer, and a dynamical model is established to predict the deformation in multilayer machining a thin-walled part.
Journal ArticleDOI

Strategies for error prediction and error control in peripheral milling of thin-walled workpiece

TL;DR: In this article, the authors developed efficient strategies for controlling the force-induced surface dimensional errors in peripheral milling of thin-walled structures, where the focus was on how to select the feed per tooth and depth of cut simultaneously for tolerance specification and maximization of the feed each tooth simultaneously.
References
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Book

Metal cutting principles

TL;DR: In this paper, the authors describe typical cutting operations, including: Elastic Behaviour Plastic Behaviour Fracture Dynamometry Shear Strain in Cutting Shear Stress in Cutting Friction Wear and Tool Life Cutting Temperatures Cutting Fields Tool Materials Work Material Considerations Complex Tools Surface Integrity Chip Control Optimisation Modeling of Chip Formation Precision Engineering Unusual Applications of the Metal Cutting Process
Book

Materials and Processes in Manufacturing

TL;DR: In this article, the authors present an overview of the basic machining processes and their application in the manufacturing of non-metallic materials, such as Plastics, Composites, Ceramics, Elastomers.
Journal ArticleDOI

Prediction of Milling Force Coefficients From Orthogonal Cutting Data

TL;DR: In this paper, the authors compared the mechanistic and unified mechanics of cutting approaches to the prediction of forces in milling operations and showed that the milling force coefficients for all force components and cutter geometrical designs can be predicted from an orthogonal cutting data base and the generic oblique cutting analysis for use in the predictive mechanistic milling models.
Journal ArticleDOI

Modelling and simulation of high‐speed machining

TL;DR: In this paper, a Lagrangian finite element model of orthogonal high-speed machining is developed, which accounts for dynamic effects, heat conduction, mesh-on-mesh contact with friction, and full thermo-mechanical coupling.
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