A dislocation density-based multiscale cutting model for ultra-precision machining of AISI 4140 steel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Microstructural characteristics of a machined surface are significantly associated with its mechanical properties and deformation responses under cutting conditions. In this work, a dislocation density-based multiscale simulation model was proposed to simulate the material deformation behaviors in ultra-precision cutting of AISI 4140 steel. The model was built by coupling a three-dimensional discrete dislocation dynamic (3D-DDD) model with a finite element method (FEM) through the optimization of a dislocation densitybased (DDB) constitutive equation (compiled as a user-defined subroutine). The movement of edge and screw dislocations, such as generation, propagation, siding, and their interactions, was performed by 3D-DDD, and the statistical features of dislocations were used to optimize the critical constants of the DDB constitutive equation. A cutting model was then built to predict material deformation behaviors under various cutting conditions (cutting speed, feedrate, depth of cut). The simulation results indicate that the developed model can well capture the microstructure characteristics such as grain size and dislocation density distributions under the tested cutting conditions. The influence of feedrate and cutting speed on the distribution of dislocation densities and grain size was analyzed.
Original languageEnglish
Title of host publicationProceedings of the 22nd International Conference and Exhibition of the European Society for Precision Engineering and Nanotechnology
EditorsRichard Leach, A. Akrofi-Ayesu, C. Nesbit, D. Phillips
Publishereuspen
ChapterP6.20
Pages543-544
Number of pages5
ISBN (Electronic)9781998999118
Publication statusPublished - 30 May 2022

Fingerprint

Dive into the research topics of 'A dislocation density-based multiscale cutting model for ultra-precision machining of AISI 4140 steel'. Together they form a unique fingerprint.

Cite this