A mechanics-based predictive model for chip breaking in metal machining and its validation

S. Buchkremer; J. Schoop

doi:10.1016/j.cirp.2016.04.089

A mechanics-based predictive model for chip breaking in metal machining and its validation

S. Buchkremer, J. Schoop

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

In metal cutting, effective chip breaking enables efficient chip removal, prevents workpiece and tool damage, and provides operational safety. Currently available cutting tool insert designs often neglect the underlying physics of chip breaking process governed by ductile fracture on the chip free-surface. This paper presents a predictive model for chip breaking in turning operations, which combines a mechanics-based model, utilizing a ductile fracture criterion, with a finite element model. Experimental validation on aluminum alloy AA7075-T6511 and brass CuZn38As shows that the impacts of the tool and process parameters on chip breakability could be accurately predicted without prior knowledge of the ductile material properties.

Original language	English
Pages (from-to)	69-72
Number of pages	4
Journal	CIRP Annals - Manufacturing Technology
Volume	65
Issue number	1
DOIs	https://doi.org/10.1016/j.cirp.2016.04.089
State	Published - 2016

Bibliographical note

Publisher Copyright:
© 2016 CIRP

Keywords

Chip
Chip breakage
Fracture analysis

ASJC Scopus subject areas

Mechanical Engineering
Industrial and Manufacturing Engineering

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10.1016/j.cirp.2016.04.089

Cite this

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abstract = "In metal cutting, effective chip breaking enables efficient chip removal, prevents workpiece and tool damage, and provides operational safety. Currently available cutting tool insert designs often neglect the underlying physics of chip breaking process governed by ductile fracture on the chip free-surface. This paper presents a predictive model for chip breaking in turning operations, which combines a mechanics-based model, utilizing a ductile fracture criterion, with a finite element model. Experimental validation on aluminum alloy AA7075-T6511 and brass CuZn38As shows that the impacts of the tool and process parameters on chip breakability could be accurately predicted without prior knowledge of the ductile material properties.",

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AU - Schoop, J.

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AB - In metal cutting, effective chip breaking enables efficient chip removal, prevents workpiece and tool damage, and provides operational safety. Currently available cutting tool insert designs often neglect the underlying physics of chip breaking process governed by ductile fracture on the chip free-surface. This paper presents a predictive model for chip breaking in turning operations, which combines a mechanics-based model, utilizing a ductile fracture criterion, with a finite element model. Experimental validation on aluminum alloy AA7075-T6511 and brass CuZn38As shows that the impacts of the tool and process parameters on chip breakability could be accurately predicted without prior knowledge of the ductile material properties.

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KW - Chip breakage

KW - Fracture analysis

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A mechanics-based predictive model for chip breaking in metal machining and its validation

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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