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金刚石切削下铈的残余应力与表面粗糙度的分子动力学研究

Molecular Dynamics Investigation of Residual Stress and Surface Roughness of Cerium under Diamond Cutting.

作者信息

Li Yao, Shuai Maobing, Zhang Junjie, Zheng Haibing, Sun Tao, Yang Yang

机构信息

Science and Technology on Surface Physics and Chemistry Laboratory, Mianyang 621908, China.

Center for Precision Engineering, Harbin Institute of Technology, Harbin 150001, China.

出版信息

Micromachines (Basel). 2018 Aug 3;9(8):386. doi: 10.3390/mi9080386.

DOI:10.3390/mi9080386
PMID:30424319
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6187516/
Abstract

Machined surface quality in terms of residual stress and surface roughness has an important influence on the performance of devices and components. In the present work, we elucidate the formation mechanisms of residual stress and surface roughness of single crystalline cerium under ultraprecision diamond cutting by means of molecular dynamics simulations. Influences of machining parameters, such as the rake angle of a cutting tool, depth of cut, and crystal orientation of the workpiece on the machined surface quality were also investigated. Simulation results revealed that dislocation activity and lattice distortion are the two parallel factors that govern the formation of both residual stress and surface roughness. It was found that both distributions of residual stress and surface roughness of machined surface are significantly affected by machining parameters. The optimum machining parameters for achieving high machined surface quality of cerium by diamond cutting are revealed.

摘要

就残余应力和表面粗糙度而言,机械加工表面质量对器件和部件的性能有重要影响。在本工作中,我们通过分子动力学模拟阐明了单晶铈在超精密金刚石切削下残余应力和表面粗糙度的形成机制。还研究了诸如刀具前角、切削深度和工件晶体取向等加工参数对加工表面质量的影响。模拟结果表明,位错活动和晶格畸变是控制残余应力和表面粗糙度形成的两个并行因素。发现加工参数对加工表面的残余应力分布和表面粗糙度均有显著影响。揭示了通过金刚石切削实现铈的高加工表面质量的最佳加工参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/fd0b35427ca4/micromachines-09-00386-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/aac6d27e1627/micromachines-09-00386-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/cdc0dde51d3e/micromachines-09-00386-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/ff27a1ca7ff0/micromachines-09-00386-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/1c2fb83e5201/micromachines-09-00386-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/3513c5142716/micromachines-09-00386-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/e06d47ab72de/micromachines-09-00386-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/d3b09b655111/micromachines-09-00386-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/3c8e3122d2c7/micromachines-09-00386-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/35ed3c5f5f2c/micromachines-09-00386-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/e697c33f9272/micromachines-09-00386-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/fd0b35427ca4/micromachines-09-00386-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/aac6d27e1627/micromachines-09-00386-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/cdc0dde51d3e/micromachines-09-00386-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/ff27a1ca7ff0/micromachines-09-00386-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/76eeaaf1839e/micromachines-09-00386-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/5f1055dd455c/micromachines-09-00386-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/1c2fb83e5201/micromachines-09-00386-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/3513c5142716/micromachines-09-00386-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/e06d47ab72de/micromachines-09-00386-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/d3b09b655111/micromachines-09-00386-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/3c8e3122d2c7/micromachines-09-00386-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/35ed3c5f5f2c/micromachines-09-00386-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/e697c33f9272/micromachines-09-00386-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419a/6187516/fd0b35427ca4/micromachines-09-00386-g013.jpg

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本文引用的文献

1
Atomistic and Experimental Investigation of the Effect of Depth of Cut on Diamond Cutting of Cerium.切削深度对铈金刚石切割影响的原子尺度与实验研究
Micromachines (Basel). 2018 Jan 13;9(1):26. doi: 10.3390/mi9010026.
2
Molecular Dynamics Modeling and Simulation of Diamond Cutting of Cerium.铈的金刚石切割的分子动力学建模与模拟
Nanoscale Res Lett. 2017 Dec;12(1):464. doi: 10.1186/s11671-017-2235-1. Epub 2017 Jul 25.
3
Side Flow Effect on Surface Generation in Nano Cutting.纳米切削中侧向流对表面生成的影响
Micromachines (Basel). 2018 Oct 31;9(11):564. doi: 10.3390/mi9110564.
Nanoscale Res Lett. 2017 Dec;12(1):359. doi: 10.1186/s11671-017-2136-3. Epub 2017 May 19.
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Cerium; crystal structure and position in the periodic table.铈;晶体结构及在元素周期表中的位置。
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Thermal signatures of the Kondo volume collapse in cerium.铈中近藤体积坍缩的热特征
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