Prediction of surface roughness in slotting of CFRP

被引：18

作者：

Gara, Souhir ^{[1
]}

Tsoumarev, Oleg ^{[1
]}

机构：

[1] Lab Rech Mecan Appl & Ingn MAI, ENIT BP 37, Tunis Le Belvedere 1002, Tunisia

来源：

MEASUREMENT | 2016年 / 91卷

关键词：

CFRP; Slotting; Transverse roughness; Longitudinal roughness; Knurled tool; DAMAGE; PARAMETERS;

D O I：

10.1016/j.measurement.2016.05.016

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Nowadays, more attention is drawn to the industrial products made of composite materials. Their anisotropy and inhomogeneity cause a difficulty in predicting their behavior during machining. With the purpose of understanding and zooming the contact area tool/workpiece, this paper presents a study that evaluate the transverse and longitudinal roughness measurements for knurled tool in slotting of multidirectional carbon fiber-reinforced plastic (CFRP) laminate. By transverse (respectively longitudinal) roughness we mean roughness measured perpendicular to the advance direction (respectively in the advance direction). A theoretical model of transverse roughness is given: it highlights its dependance of only tool geometry. Experiments were carried out to validate the model, to study how longitudinal roughness measurements depends on cutting conditions (cutting speed and feed per tooth) and to predict the surface topography. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：414 / 420

页数：7

共 50 条

[21] Modeling and prediction of surface roughness in ceramic grinding [J].

Agarwal, Sanjay ;

Rao, P. Venkateswara .

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2010, 50 (12) :1065-1076

[22] Effect of chilled air on delamination, induced vibration, burr formation and surface roughness in CFRP drilling: a comparative study [J].

Rajkumar, G. Mannoj ;

Bhardwaj, Dhanur ;

Kannan, C. ;

Oyyaravelu, R. ;

Balan, A. S. S. .

MATERIALS RESEARCH EXPRESS, 2019, 6 (03)

[23] Effects of surface roughness and bond enhancing techniques on flexural performance of CFRP/concrete composites [J].

Ariyachandra, M. R. E. F. ;

Gamage, J. C. P. H. ;

Al-Mahaidi, Riadh ;

Kalfat, Robin .

COMPOSITE STRUCTURES, 2017, 178 :476-482

[24] Comparison of surface roughness quality obtained by high speed CNC trimming and high speed robotic trimming for CFRP laminate [J].

Slamani, Mohamed ;

Gauthier, Sebastien ;

Chatelain, Jean-Francois .

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2016, 42 :63-72

[25] Effect of Surface Roughness of Al5052/CFRP Composites on Adhesion and Mechanical Properties [J].

Lee, M. S. ;

Kim, S. J. ;

Lim, O. D. ;

Kang, C. G. .

ASIAN JOURNAL OF CHEMISTRY, 2014, 26 (17) :5871-5878

[26] Effect of Depth of Cut and Number of Layers on the Surface Roughness and Surface Homogeneity After Milling of Al/CFRP Stacks [J].

Doluk, Elzbieta ;

Rudawska, Anna ;

Legutko, Stanislaw .

MATERIALS, 2025, 18 (01)

[27] Prediction of Surface Roughness in Turning of EN 353 Using Response Surface Methodology [J].

Bhardwaj, Bhuvnesh ;

Kumar, Rajesh ;

Singh, Pradeep K. .

TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS, 2014, 67 (03) :305-313

[28] Surface Roughness Prediction by Response Surface Methodology in Milling of Hybrid Aluminium Composites [J].

Premnath, A. Arun ;

Alwarsamy, T. ;

Abhinav, T. ;

Krishnakant, C. Adithya .

INTERNATIONAL CONFERENCE ON MODELLING OPTIMIZATION AND COMPUTING, 2012, 38 :745-752

[29] SIMULATION APPROACH FOR SURFACE ROUGHNESS INTERVAL PREDICTION IN FINISH TURNING [J].

Sung, A. N. ;

Loh, W. P. ;

Ratnam, M. M. .

INTERNATIONAL JOURNAL OF SIMULATION MODELLING, 2016, 15 (01) :42-55

[30] Development of Surface Roughness Prediction and Monitoring System in Milling Process [J].

Lai, Yu-Sheng ;

Lin, Wei -Zhu ;

Lin, Yung-Chih ;

Hung, Jui-Pin .

ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2024, 14 (01) :12797-12805

← 1 2 3 4 5 →