Prediction of cutting forces in machining of unidirectional glass fiber reinforced plastics composite

doi:10.1007/s11465-013-0262-x

Front Mech Eng

2013, Vol. 8

Issue (2) : 187-200 https://doi.org/10.1007/s11465-013-0262-x

RESEARCH ARTICLE

Prediction of cutting forces in machining of unidirectional glass fiber reinforced plastics composite

Surinder Kumar GILL¹(

), Meenu GUPTA¹, P. S. SATSANGI²

1. Department of Mechanical Engineering, National Institute of Technology, Kurukshetra 136119, India; 2. Department of Mechanical Engineering, PEC University of Technology, Chandigarh 160012, India

Download: PDF(462 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

Machining of plastic materials has become increasingly important in any engineering industry subsequently the prediction of cutting forces. Forces quality has greater influence on components, which are coming in contact with each other. So it becomes necessary to measure and study machined forces and its behavior. In this research work, experimental investigations are conducted to determine the effects of cutting conditions and tool geometry on the cutting forces in the turning of the unidirectional glass fiber reinforced plastics (UD-GFRP) composites. In this experimental study, carbide tool (K10) having different tool nose radius and tool rake angle is used. Experiments are conducted based on the established Taguchi’s technique L₁₈ orthogonal array on a lathe machine. It is found that the depth of cut is the cutting parameter, which has greater influence on cutting forces. The effect of the tool nose radius and tool rake angles on the cutting forces are also considerably significant. Based on statistical analysis, multiple regression model for cutting forces is derived with satisfactory coefficient (R²). This model proved to be highly preferment for predicting cutting forces.

Keywords unidirectional glass fiber reinforced plastics (UD-GFRP) composites machining cutting forces (tangential feed and radial force) ANOVA regression modeling carbide tool (K10)

Corresponding Author(s): GILL Surinder Kumar,Email:surinder.asd@gmail.com

Issue Date: 05 June 2013

Cite this article:

P. S. SATSANGI,Surinder Kumar GILL,Meenu GUPTA. Prediction of cutting forces in machining of unidirectional glass fiber reinforced plastics composite[J]. Front Mech Eng, 2013, 8(2): 187-200.

URL:

https://academic.hep.com.cn/fme/EN/10.1007/s11465-013-0262-x
https://academic.hep.com.cn/fme/EN/Y2013/V8/I2/187

1	Abrate S, Walton D A. Machining of composite materials (a two part review). Composites Manufacturing , 1992, 3(2): 75–94
2	Caprino G, Nele L. Cutting forces in orthogonal cutting of unidirectional GFRP composites. Journal Engineering Material Technology , 1996, 118(3): 419–425
3	Koplev A, Lystrup A, Vorm T. The cutting process, chips and cutting forces in machining CFRP. Composites , 1983, 14(4): 371–376
4	Wang X M, Zhang L C. Machining damage in unidirectional fibre-reinforced plastics. In: Wang J, Scott W, Zhang L, eds. Abrasive Technology—Current Development and Applications . Singapor: World Scientific, 1999, 429–436
5	Wang X M, Zhang L C. An experimental investigation into the orthogonal cutting of unidirectional fibre-reinforced plastic. International Journal of Machine Tools & Manufacture , 2003, 43(10): 1015–1022 doi: 10.1016/S0890-6955(03)00090-7
6	Mahdi M, Zhang L C. A finite element model for the orthogonal cutting of fibre-reinforced composite materials. Journal of Materials Processing Technology , 2001, 113(1–3): 373–377 doi: 10.1016/S0924-0136(01)00675-6
7	Mahdi M, Zhang L C. An adaptive three-dimensional finite element algorithm for the orthogonal cutting of composite materials. Journal of Materials Processing Technology , 2001, 113(1–3): 368–372 doi: 10.1016/S0924-0136(01)00676-8
8	Sun F H, Wu Z Y, Zhong J W, Chen M. High speed milling of SiC particle reinforced aluminum-based MMC with coated carbide inserts. Key Engineering Materials , 2004, 274–276: 457–462 doi: 10.4028/www.scientific.net/KEM.274-276.457
9	Palanikumar K, Davim J P. Assessment of some factors influencing tool wear on the machining of glass fibre-reinforced plastics by coated cemented carbide tools. Journal of Materials Processing Technology , 2009, 209(1): 511–519 doi: 10.1016/j.jmatprotec.2008.02.020
10	Paulo Davim J, Silva L R, Festas A, Abr?o A M. Machinability study on precision turning of PA66 polyamide with and without glass fiber reinforcing. Materials & Design , 2009, 30(2): 228–234 doi: 10.1016/j.matdes.2008.05.003
11	Hussain S A, Pandurangadu V, Palanikumar K. Surface roughness analysis in machining of GFRP composite by carbide tool (K20). European Journal of Scientific Research , 2010, 41(1): 84–98
12	Rajasekaran T, Palanikumar K, Vinayagam B K, Prakash S. Influence of machining parameters on surface roughness and material removal rate in machining carbon fiber reinforced polymer material. In: Proceedings of Frontiers in Automobile and Mechanical Engineering (FAME). 2010, 75–80
13	Mata F, Beamud E, Hanafi I, Khamlichi A, Jabbouri A, Bezzazi M. Multiple regression prediction model for cutting forces in turning carbon-reinforced PEEK CF30. Advances in Materials Science and Engineering , 2010, 2010: 1–7 doi: 10.1155/2010/824098
14	Adam Khan M, Senthil Kumar A. Machinability of glass fibre reinforced plastic (GFRP) composite using alumina-based ceramic cutting tools. Journal of Manufacturing Processes , 2011, 13(1): 67–73 doi: 10.1016/j.jmapro.2010.10.002
15	Rajasekaran T, Palanikumar K, Vinayagam B K. Application of fuzzy logic for modeling surface roughness in turning CFRP composites using CBN tool. Production Engineering Research and Development , 2011, 5(2): 191–199 doi: 10.1007/s11740-011-0297-y
16	Hussain S A, Pandurangadu V, Kumar K P. Machinability of glass fiber reinforced plastic (GFRP) composite materials. International Journal of Engineering Science and Technology , 2011, 3(4): 103–118 doi: 10.4314/ijest.v3i4.68546
17	Yang C L. Optimizing the glass fiber cutting process using the Taguchi methods and grey relational analysis. New Journal of Glass and Ceramics , 2011, 1(01): 13–19 doi: 10.4236/njgc.2011.11003
18	Ntziantzias I, Kechaglas J, Fountas N, Maropoulos S. A cutting force model in turning of glass fiber reinforced polymer composite. In: Proceedings of International Conference on Economic Engineering and Manufacturing Systems , Brasov. 2011, 348–351
19	Ross P J. Taguchi Techniques for Quality Engineering. New York: McGraw-Hills Book Company , 1988
20	Roy R K. A Primer on Taguchi Method. New York: Van Nostrand Reinhold, 1990

[1]	Jimu LIU, Yuan TIAN, Feng GAO. *A novel six-legged walking machine tool for in-situ* operations**[J]. Front. Mech. Eng., 2020, 15(3): 351-364.
[2]	Ming CHEN, Chengdong WANG, Qinglong AN, Weiwei MING. Tool path strategy and cutting process monitoring in intelligent machining[J]. Front. Mech. Eng., 2018, 13(2): 232-242.
[3]	Dehui XU, Yuelin WANG, Bin XIONG, Tie LI. MEMS-based thermoelectric infrared sensors: A review[J]. Front. Mech. Eng., 2017, 12(4): 557-566.
[4]	Hui LI, Likai LI, Neil J. NAPLES, Jeffrey W. ROBLEE, Allen Y. YI. Micro-optical fabrication by ultraprecision diamond machining and precision molding[J]. Front. Mech. Eng., 2017, 12(2): 181-192.
[5]	Shang GAO, Han HUANG. Recent advances in micro- and nano-machining technologies[J]. Front. Mech. Eng., 2017, 12(1): 18-32.
[6]	Xiaoguang GUO,Qiang LI,Tao LIU,Renke KANG,Zhuji JIN,Dongming GUO. Advances in molecular dynamics simulation of ultra-precision machining of hard and brittle materials[J]. Front. Mech. Eng., 2017, 12(1): 89-98.
[7]	Hang GAO,Xu WANG,Dongming GUO,Yuchuan CHEN. Research progress on ultra-precision machining technologies for soft-brittle crystal materials[J]. Front. Mech. Eng., 2017, 12(1): 77-88.
[8]	Mingjin XU,Yifan DAI,Xuhui XIE,Lin ZHOU,Shengyi LI,Wenqiang PENG. Ion beam figuring of continuous phase plates based on the frequency filtering process[J]. Front. Mech. Eng., 2017, 12(1): 110-115.
[9]	Shaolin XU,Tsunemoto KURIYAGAWA,Keita SHIMADA,Masayoshi MIZUTANI. Recent advances in ultrasonic-assisted machining for the fabrication of micro/nano-textured surfaces[J]. Front. Mech. Eng., 2017, 12(1): 33-45.
[10]	Rupalika DASH,Kalipada MAITY. Simulation of abrasive flow machining process for 2D and 3D mixture models[J]. Front. Mech. Eng., 2015, 10(4): 424-432.
[11]	Fangyu PENG,Wei WANG,Rong YAN,Xianyin DUAN,Bin LI. Variable eccentric distance-based tool path generation for orthogonal turn-milling[J]. Front. Mech. Eng., 2015, 10(4): 352-366.
[12]	Reza TEIMOURI, Hamed SOHRABPOOR. Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing electro chemical machining process[J]. Front Mech Eng, 2013, 8(4): 429-442.
[13]	Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH. Multi-objective optimization of process parameters in Electro-Discharge Diamond Face Grinding based on ANN-NSGA-II hybrid technique[J]. Front Mech Eng, 2013, 8(3): 319-332.
[14]	Rupesh CHALISGAONKAR, Jatinder KUMAR. Optimization of WEDM process of pure titanium with multiple performance characteristics using Taguchi’s DOE approach and utility concept[J]. Front Mech Eng, 2013, 8(2): 201-214.
[15]	Meenu GUPTA, Surinder Kumar GILL. Prediction of cutting force in turning of UD-GFRP using mathematical model and simulated annealing[J]. Front Mech Eng, 2012, 7(4): 417-426.

Viewed

Full text

Abstract

Cited

Shared

Discussed