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基于正交法和响应面法的SiC陶瓷激光辅助车削工艺参数实验研究

Experimental Investigation on Process Parameters during Laser-Assisted Turning of SiC Ceramics Based on Orthogonal Method and Response Surface Methodology.

作者信息

Dai Di, Zhao Yugang, Cao Chen, Dong Ruichun, Zhang Haiyun, Liu Qian, Song Zhuang, Zhang Xiajunyu, Zheng Zhilong, Zhao Chuang

机构信息

School of Mechanical Engineering, Shandong University of Technology, Zibo 255049, China.

出版信息

Materials (Basel). 2022 Jul 14;15(14):4889. doi: 10.3390/ma15144889.

DOI:10.3390/ma15144889
PMID:35888357
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9318182/
Abstract

In this study, laser-assisted machining experiments are carried out on silicon carbide (SiC) ceramic materials by a turning process, and laser power, cutting depth, rotational speed, and feed speed are selected as research factors. In order to improve the surface processing quality of laser-assisted turning of SiC ceramics and obtain the smallest surface roughness, the orthogonal method and response surface method are used to investigate the effect of various factors on surface roughness. The effect of various factors on surface roughness is evaluated by variance analysis, mean analysis, main effect diagram, 3D response surface, and corresponding contour diagram. The surface roughness prediction model is established based on the response surface method, and the prediction error is 4.1% with high accuracy. The experimental results show that laser power and cutting depth are the most significant factors affecting surface roughness, and rotational speed is a significant factor affecting surface roughness. Under the optimum process conditions, the smallest surface roughness obtained by the response surface method is 0.294 μm, which is lower than 0.315 μm obtained by the orthogonal method, and the surface quality is higher. Therefore, the optimal process parameters of the response surface method can obtain the smallest surface roughness and higher surface quality in laser-assisted turning of SiC ceramics.

摘要

在本研究中,通过车削工艺对碳化硅(SiC)陶瓷材料进行激光辅助加工实验,并选取激光功率、切削深度、转速和进给速度作为研究因素。为提高SiC陶瓷激光辅助车削的表面加工质量并获得最小的表面粗糙度,采用正交法和响应面法研究各因素对表面粗糙度的影响。通过方差分析、均值分析、主效应图、三维响应面及相应的等高线图评估各因素对表面粗糙度的影响。基于响应面法建立表面粗糙度预测模型,预测误差为4.1%,精度较高。实验结果表明,激光功率和切削深度是影响表面粗糙度的最显著因素,转速是影响表面粗糙度的显著因素。在最佳工艺条件下,响应面法获得的最小表面粗糙度为0.294μm,低于正交法获得的0.315μm,表面质量更高。因此,响应面法的最佳工艺参数能在SiC陶瓷激光辅助车削中获得最小的表面粗糙度和更高的表面质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb6e/9318182/ecd0196a29da/materials-15-04889-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb6e/9318182/2b3c81f4817f/materials-15-04889-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb6e/9318182/923824f5e62e/materials-15-04889-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb6e/9318182/00481cbfa3f8/materials-15-04889-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb6e/9318182/14daa598ad1a/materials-15-04889-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb6e/9318182/93535c818fda/materials-15-04889-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb6e/9318182/aee440515a59/materials-15-04889-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb6e/9318182/ecd0196a29da/materials-15-04889-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb6e/9318182/2b3c81f4817f/materials-15-04889-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb6e/9318182/923824f5e62e/materials-15-04889-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb6e/9318182/00481cbfa3f8/materials-15-04889-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb6e/9318182/14daa598ad1a/materials-15-04889-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb6e/9318182/93535c818fda/materials-15-04889-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb6e/9318182/aee440515a59/materials-15-04889-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb6e/9318182/ecd0196a29da/materials-15-04889-g007.jpg

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