Zhang et al., 2017 - Google Patents
Subsurface deformation generated by orthogonal cutting: analytical modeling and experimental verificationZhang et al., 2017
View PDF- Document ID
- 5301653878789896057
- Author
- Zhang D
- Zhang X
- Leopold J
- Ding H
- Publication year
- Publication venue
- Journal of Manufacturing Science and Engineering
External Links
Snippet
Subsurface deformation of the cutting process has attracted a great deal of attention due to its tight relationship with subsurface hardening, microstructure alteration, grain refinement, and white layer formation. To predict the subsurface deformation of the machined …
- 238000005520 cutting process 0 title abstract description 135
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Arrazola et al. | On the machining induced residual stresses in IN718 nickel-based alloy: Experiments and predictions with finite element simulation | |
| Shi et al. | The influence of material models on finite element simulation of machining | |
| Adibi-Sedeh et al. | Extension of Oxley’s analysis of machining to use different material models | |
| Vogler et al. | Microstructure-level force prediction model for micro-milling of multi-phase materials | |
| Kouadri et al. | Quantification of the chip segmentation in metal machining: Application to machining the aeronautical aluminium alloy AA2024-T351 with cemented carbide tools WC-Co | |
| Chuzhoy et al. | Machining simulation of ductile iron and its constituents, part 2: numerical simulation and experimental validation of machining | |
| Zhang et al. | Subsurface deformation generated by orthogonal cutting: analytical modeling and experimental verification | |
| Kim et al. | Development of an analytical model for drilling burr formation in ductile materials | |
| Zhang et al. | Predicting the effects of cutting parameters and tool geometry on hard turning process using finite element method | |
| Joshi et al. | Microstructural characterization of chip segmentation under different machining environments in orthogonal machining of Ti6Al4V | |
| Xi et al. | Finite element modeling of cutting force and chip formation during thermally assisted machining of Ti6Al4V alloy | |
| Shi et al. | Identification of material constitutive laws for machining—part I: an analytical model describing the stress, strain, strain rate, and temperature fields in the primary shear zone in orthogonal metal cutting | |
| Wang et al. | A modified Johnson–Cook constitutive model and its application to high speed machining of 7050-T7451 aluminum alloy | |
| Ding et al. | Experimental evaluation and modeling analysis of micromilling of hardened H13 tool steels | |
| Joshi et al. | Influence of preheating on chip segmentation and microstructure in orthogonal machining of Ti6Al4V | |
| Ding et al. | Dislocation density and grain size evolution in the machining of Al6061-T6 alloys | |
| Dandekar et al. | Laser-assisted machining of a fiber reinforced metal matrix composite | |
| Wang et al. | Microhardness prediction based on a microstructure-sensitive flow stress model during high speed machining Ti-6Al-4V | |
| Ba¨ ker et al. | Finite element simulation of segmented chip formation of Ti6Al4V | |
| Abed et al. | Flow stress and damage behavior of C45 steel over a range of temperatures and loading rates | |
| Maroju et al. | Mechanism of chip segmentation in orthogonal cutting of Zr-based bulk metallic glass | |
| Cheng et al. | Unified criterion for brittle–ductile transition in mechanical microcutting of brittle materials | |
| Liu et al. | Material ductile failure-based finite element simulations of chip serration in orthogonal cutting of titanium alloy Ti-6Al-4V | |
| Tabei et al. | Dynamic recrystallization of Al alloy 7075 in turning | |
| Zhang et al. | Simulation of grain refinement induced by high-speed machining of OFHC copper using cellular automata method |