Prediction of die wear during hot-extrusion of engine valves

Painter, Brett; Shivpuri, Rajiv; Altan, Taylan

doi:10.1016/0924-0136(96)02294-7

Cited by 48 publications

(19 citation statements)

References 2 publications

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“…Previous wear models [5,7,[15][16][17] have treated or observed the contour partially, that is, every point on the contour separately and not as a whole. The partial approach is more general and is applicable to parts of engravings where there is no plastic deformation of the tool or no deposition of material, and therefore where we have to deal merely with the removal of material.…”

Section: Partial Methods For the Prediction Of The Whole Wear Contourmentioning

confidence: 99%

“…Micromechanical (phenomenological) models are still in the phase of intensive development and as such they are of a more theoretical nature [12][13][14]34]. Even Archard's model and its improvements, such as for instance, those of Kang et al [7], Felder and Mahjoub [15], Ståhlberg and Halströ m [16], and Painter et al [17] are, due to the above mentioned complexity of the wear phenomenon, mathematically relatively rigid. The empirical method of Doege et al [4], which considers up to eight influential relations of parameters (tension stress of tool material, carbide-forming elements, etc.…”

Section: Introductionmentioning

confidence: 99%

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New starting points for the prediction of tool wear in hot forging

Turk

Peruš

Terčelj

2004

International Journal of Machine Tools and Manufacture

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Section: Partial Methods For the Prediction Of The Whole Wear Contourmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

New starting points for the prediction of tool wear in hot forging

Turk

Peruš

Terčelj

2004

International Journal of Machine Tools and Manufacture

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“…Sobis [37] studied the real contact areas for wear prediction that is the limits of the Archard's model. Painter [38] analyzed the die wear in the hot extrusion using the finite element code DEFORM to simulate the process and wear program to predict the wear condition. Lee and Im [39] also used the finite element method to investigate the wear and elastic deformation of die.…”

Section: Recent Studies Of Hot Forging Die Wear Analysismentioning

confidence: 99%

Wear analysis of hot forging dies

Abachi

Akkök

Gökler

2010

Tribology International

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, 94 pages The service lives of dies in forging processes are to a large extent limited by wear, fatigue fracture and plastic deformation, etc. In hot forging processes, wear is the predominant factor in the operating lives of dies. In this study, the wear analysis of a closed die at the final stage of a hot forging process has been realized. The preform geometry of the part to be forged was measured by Coordinate Measuring Machine (CMM), and the CAD model of the die and the worn die were provided by the particular forging company. The hot forging operation was carried out at a workpiece temperature of 1100°C and die temperature of 300°C for a batch of 678 on a 1600-ton mechanical press. The die and the workpiece materials were AISI L6 tool steel and DIN 1.4021, respectively. The simulation of forging process for the die and the workpiece was carried out by Finite Volume Method using MSC.SuperForge. The flow of the material in the die, die filling, contact pressure distribution, sliding velocities and temperature distribution of the die have been investigated. In a single stroke, the depth of wear was evaluated using Archard's wear equation with a constant wear coefficient of 1× 10-12 Pa-1 as an initial value. The depth of wear v on the die surface in every step has been evaluated using the Finite Volume simulation results and then the total depth of wear was determined. To be able to compare the wear analysis results with the experimental worn die, the surface measurement of the worn die has been done on CMM. By comparing the numerical results of the die wear analysis with the worn die measurement, the dimensional wear coefficient has been evaluated for different points of the die surface and finally a value of dimensional wear coefficient is suggested. As a result, the wear coefficient was evaluated as 6.5× 10-13 Pa-1 and considered as a good approximation to obtain the wear depth and the die life in hot forging processes under similar conditions.

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“…The law describing the material behavior should allow for the description of the different studies and stages of the process observed experimentally, including tool wear phenomena [10,[13][14][15][16].…”

Section: Numerical Simulation Of An Extrusion Processmentioning

confidence: 99%

Statistical investigation of die wear in metal extrusion processes

Lepădatu¹,

Hambli²,

Kobi³

et al. 2005

Int J Adv Manuf Technol

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The aim of this paper is the statistical process control analysis of the tool wear evolution during metal extrusion process for better understanding the principal causes that generate the variability of such a complex phenomenon. The wear prediction is carried out using finite element simulation including the Archard wear model. The tool wear modeling is presented briefly as well as the response surface methodology. The study is based on the application of the central composites designs and allows for the analysis of the response (wear) sensitivity of the tool. The statistical investigation of the process makes it possible to study the influence of each process parameter on the response sensitivity.

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Prediction of die wear during hot-extrusion of engine valves

Cited by 48 publications

References 2 publications

New starting points for the prediction of tool wear in hot forging

New starting points for the prediction of tool wear in hot forging

Wear analysis of hot forging dies

Statistical investigation of die wear in metal extrusion processes

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