Inverse estimation of the tool-work interface temperature in end milling

Lin, Jehnming

doi:10.1016/0890-6955(95)93043-6

Cited by 58 publications

(31 citation statements)

References 8 publications

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“…Fang and Zeng [44] utilized FEM to develop a 3D model of the oblique cutting process for the prediction of temperature distribution in the workpiece, tool and chip. Temperature distribution in the workpiece was estimated for a simple single pass slot milling operations in only a few reported works [45,46]. However, these studies ignore the structural analysis for predicting part deformations under coupled thermomechanical loading conditions.…”

Section: Thermo-mechanical Analysis For Thin-wall Workpiecementioning

confidence: 99%

“…The aforesaid experimental techniques have been widely applied in machining due to its simplicity. Lin [42] and Kwon [43] studied the transient interfacial temperature and heat dissipation in the workpiece during a slot milling process. Fang and Zeng [44] utilized FEM to develop a 3D model of the oblique cutting process for the prediction of temperature distribution in the workpiece, tool and chip.…”

Section: Thermo-mechanical Analysis For Thin-wall Workpiecementioning

confidence: 99%

See 1 more Smart Citation

Finite Element Analysis of Machining Thin-Wall Parts: Error Prediction and Stability Analysis

Huang¹,

Zhang²,

Xiong³

2012

Finite Element Analysis - Applications in Mechanical Engineering

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Section: Thermo-mechanical Analysis For Thin-wall Workpiecementioning

confidence: 99%

Section: Thermo-mechanical Analysis For Thin-wall Workpiecementioning

confidence: 99%

Finite Element Analysis of Machining Thin-Wall Parts: Error Prediction and Stability Analysis

Huang¹,

Zhang²,

Xiong³

2012

Finite Element Analysis - Applications in Mechanical Engineering

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“…Cutting tool is rotating with high frequency, cutting activity is non-continuous (against turning) and so, the cutting tool is dynamically loaded and subjects to influence of heating and cooling during the intermittent cutting process [11] There were created many techniques for measuring of temperature when milling. Lin [12] and Ming et al [13] measured the temperature by monitoring of near surface by infrared thermographic camera. [14] This method doesn't allow to measure the heating and cooling process, because measuring facilities are out from the cutting zone.…”

Section: Introductionmentioning

confidence: 99%

Cutting Zone Temperature Identification During Machining of Nickel Alloy Inconel 718

Czán

Daniš

Holubják

et al. 2017

Technological Engineering

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Quality of machined surface is affected by quality of cutting process. There are many parameters, which influence on the quality of the cutting process. The cutting temperature is one of most important parameters that influence the tool life and the quality of machined surfaces. Its identification and determination is key objective in specialized machining processes such as dry machining of hard-to-machine materials. It is well known that maximum temperature is obtained in the tool rake face at the vicinity of the cutting edge. A moderate level of cutting edge temperature and a low thermal shock reduce the tool wear phenomena, and a low temperature gradient in the machined sublayer reduces the risk of high tensile residual stresses. The thermocouple method was used to measure the temperature directly in the cutting zone. An original thermocouple was specially developed for measuring of temperature in the cutting zone, surface and subsurface layers of machined surface. This paper deals with identification of temperature and temperature gradient during dry peripheral milling of Inconel 718. The measurements were used to identification the temperature gradients and to reconstruct the thermal distribution in cutting zone with various cutting conditions.

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“…Literature reveals that the aforesaid experimental techniques have been widely applied in the turning process [10-13, 16, 22] due to its simplicity, whereas little work has been done in the milling process due to the difficulties that arise from the rotation of the cutter and the confined work space. Since it is also tedious to calculate directly the milling temperatures at the tool-work interface based on the plastic work of the chip formation as reported in [8], the inverse heat transfer method was employed in the works of Lin [8], Ming et al [12], and Shen [21] for estimating the transient tool-face temperature and heat dissipation in the workpiece during a slot milling process using the measured workpiece surface temperature. Recently, various finite-element method (FEM) and finitedifference method (FDM) based numerical models were also proposed for the determination of the temperature distribution in the workpiece and the cutting tool [5,15].…”

Section: Introductionmentioning

confidence: 99%

FEM-based prediction of workpiece transient temperature distribution and deformations during milling

Jitender

Xirouchakis

2008

Int J Adv Manuf Technol

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In high-speed dry milling of thin-walled parts, the cutter-workpiece temperature rises asymptotically with cutting speed, causing excessive cutter tooth wear and workpiece thermal expansion, which in turn reduces the cutter life and produces dimensional and geometrical variabilities in the machined part. Therefore, a basic understanding of the thermal aspect of machining and the effecting parameters is essential for achieving better part quality with improved productivity. This paper presents a transient milling simulation model to assist manufacturing engineers in gaining in-depth understanding of the thermomechanical aspects of machining and their influence on resulted part quality. Based on the finite-element method approach, the model can predict transient temperature distributions and resulted elastic-plastic deformations induced during the milling of 2.5D prismatic parts comprising features like slots, steps, pockets, etc. The advantages of the proposed model over previous works are that it (1) performs feature-based machining simulation considering transient thermomechanical loading conditions; (2) allows modeling the effects of coolant on convective heat transfer rate; and (3) considers the nonlinear behavior of the workpiece due to its changing geometry, inelastic material properties, and flexible fixtureworkpiece contacts. The prediction accuracy of the model was validated with experimental results obtained

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Inverse estimation of the tool-work interface temperature in end milling

Cited by 58 publications

References 8 publications

Finite Element Analysis of Machining Thin-Wall Parts: Error Prediction and Stability Analysis

Finite Element Analysis of Machining Thin-Wall Parts: Error Prediction and Stability Analysis

Cutting Zone Temperature Identification During Machining of Nickel Alloy Inconel 718

FEM-based prediction of workpiece transient temperature distribution and deformations during milling

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