RESEARCH ARTICLE

Simulation of abrasive flow machining process for 2D and 3D mixture models

  • Rupalika DASH ,
  • Kalipada MAITY
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  • Mechanical Engineering Department, National Institute of Technology, Rourkela 769008, India

Received date: 30 May 2015

Accepted date: 18 Oct 2015

Published date: 03 Dec 2015

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Abstract

Improvement of surface finish and material removal has been quite a challenge in a finishing operation such as abrasive flow machining (AFM). Factors that affect the surface finish and material removal are media viscosity, extrusion pressure, piston velocity, and particle size in abrasive flow machining process. Performing experiments for all the parameters and accurately obtaining an optimized parameter in a short time are difficult to accomplish because the operation requires a precise finish. Computational fluid dynamics (CFD) simulation was employed to accurately determine optimum parameters. In the current work, a 2D model was designed, and the flow analysis, force calculation, and material removal prediction were performed and compared with the available experimental data. Another 3D model for a swaging die finishing using AFM was simulated at different viscosities of the media to study the effects on the controlling parameters. A CFD simulation was performed by using commercially available ANSYS FLUENT. Two phases were considered for the flow analysis, and multiphase mixture model was taken into account. The fluid was considered to be a Newtonian fluid and the flow laminar with no wall slip.

Cite this article

Rupalika DASH , Kalipada MAITY . Simulation of abrasive flow machining process for 2D and 3D mixture models[J]. Frontiers of Mechanical Engineering, 2015 , 10(4) : 424 -432 . DOI: 10.1007/s11465-015-0366-6

1
Tzeng H Y, Yan B, Hsu T, . Self-modulating abrasive medium and its application to abrasive flow machining for finishing micro channel surfaces. International Journal of Advanced Manufacturing Technology, 2007, 32(11–12): 1163–1169 

DOI

2
Gorana V K, Jain V K, Lal G K. Prediction of surface roughness during abrasive flow machining. International Journal of Advanced Manufacturing Technology, 2006, 31(3–4): 258–267

DOI

3
Wang A, Liang K, Liu C, . High precision polishing method in 3-D surface and elastic abrasive gel development. In: Proceedings of 4th Asia Pacific Forum on Precision Surface Finishing and Deburring Technology. Taichung: Metal Industries Research & Development Centre, 2005, 123–128

4
Tom K. Advanced abrasive flow technologies. In: Proceedings of 4th Asia Pacific Forum on Precision Surface Finishing and Deburring Technology. Taichung: Metal Industries Research & Development Centre, 2005, 129–138

5
Jain V K, Adsul S G. Experimental investigations into abrasive flow machining (AFM). International Journal of Machine Tools & Manufacture, 2000, 40(7): 1003–1021 

DOI

6
Gorana V K, Jain V K, Lal G K. Experimental investigation into cutting force and active grain density during abrasive flow machining. International Journal of Machine Tools & Manufacture, 2004, 44(2–3): 201–211

DOI

7
Jain R K, Jain V K, Kalra P K. Modeling of abrasive flow machining process: A neural network approach. Wear, 1999, 231(2): 242–248

DOI

8
Jain R K, Jain V K, Dixit P M. Modeling of material removal and surface roughness in abrasive flow machining process. International Journal of Machine Tools & Manufacture, 1999, 39(12): 1903–1923

DOI

9
Kumar Jain R, Jain V K. Simulation of surface generated in abrasive flow machining process. Robotics and Computer-integrated Manufacturing, 1999, 15(5): 403–412 doi:10.1016/S0736-5845(99)00046-0

10
Kenda J, Pusavec F, Kermouche G, . Surface Integrity in abrasive flow machining of hardened tool steel AISI D2. In: Proceedings of 1st CIRP Conference on Surface Integrity (CSI). Procedia Engineering, 2011, 19: 172–177

DOI

11
Gorana V K, Jain V K, Lal G K. Forces prediction during material deformation in abrasive flow machining. Wear, 2006, 260(1–2): 128–139

DOI

12
Rabinowicz E, Dunn L A, Russell P G. A study of abrasive wear under three body conditions. Wear, 1961, 4(5): 345–355

DOI

13
Fang L, Zhao J, Sun K, et al. Temperature as sensitive monitor for efficiency of work in abrasive flow machining. Wear, 2009, 266(7–8): 678–687

DOI

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