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- CFD Analysis of Fish Movement in Open Channel under Laminar Flow Condition
Abstract Views :326 |
PDF Views:3
Authors
Affiliations
1 Department of Mechanical Engineering, Jalpaiguri Govt. Engineering College, Jalpaiguri - 735102, IN
1 Department of Mechanical Engineering, Jalpaiguri Govt. Engineering College, Jalpaiguri - 735102, IN
Source
Journal of the Association of Engineers, India, Vol 89, No 3-4 (2019), Pagination: 54-63Abstract
Understanding the movement techniques of a fish in water has numerous applications far outside of biology. Biological propulsion has evolved over millions of years into a finely refined, efficient system of locomotion which cannot be matched by any technique developed by man. Thus leaving man no other options but studying the techniques engineered by nature itself. The objective of the paper is to study the motion of a fish in an open channel flow by CFD analysis of a fish under laminar flow conditions. The different step of fish positions was created by surface modelling in a CAD platform Solidworks 15.0 to study its movements. The purpose of this simulation was to learn the performance and usability of a method of surface model analysis based CFD. A CFD tool ANSYS Fluent version 16.2 was used to do the finite volume analysis of the fish models. The analysis is done on the fish profile over a square domain by creating mesh ANSYS Fluent itself. The analysis was done to study the pressure and velocity gradients generated at different points of the fish contour which aid the fish movement in an upstream condition. The lift and drag co-efficient are obtained after the analysis. The result shows how the fish produce thrust by moving its body parts in rhythmic manner.Keywords
Fish Movement, CFD Analysis, 2D Model, Laminar Flow Condition.References
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- Griffiths, G. Technology and Applications of Autonomous Underwater Vehicles, CRC press Nov. 2002.
- Anton, M., Chen, Z., Kruusmaa, M. and Tan, X., Analytical and Computational modeling of Robotic Fish propelled by Soft Actuation Material-based Active Joints, International Conference on intelligent Robots and Systems, pp.2126-2131, 2009.
- Krishnamurthy, P., Khorrami, J., Leeuw, J., Porter, M., Livingston, K., and Long, J., An Electric ray Inspired Biomimetic Autonomous Underwater vehicle, American control conference Marriott waterfront, pp. 5224-5229, 2010.
- Bozkurttas, M., Dong, H., Mittal, R., Madden, P. and Lauder, G., Hydrodynamic of Deformable Fish Fins and Flapping Foils, 44rd AIAAAerospace Science Meeting and Exhibit, pp.1-9, 2006.
- Ramamurti, R., Sandberg, W., Lohner, R., Walker, J. and Westneat, M., Fluid dynamics of flapping aquatic flight in the bird wrasse three dimensional unsteady computations with fin deformation, The Journal of experimental Biology, vol205,pp. 2997-3008(2002).
- Liu, J., Dukes, I., Knight, R. and Hu, H., Development of Fish like Swimming Behaviours for an Autonomus Robotic Fish, University of Bath, UK, 2004.
- Lauder, G.V. and Tangorra, J.I., Fish Locomotion Biology and Robotics of Body and Fin Based Movements, Springer Tracts in Mechanical Engineering, pp. 25-49, 2015.
- Zhang, H. Y., He, H., Yang, J. and Zhang, W.S., Computational Fluid Dynamics(CFD) Analysis of an Undulatory mechanical Fin driven by shape memory Alloy, International Journal of Automation and computing, vol.2, pp.374-381, 2006 .
- Mohammad S.D., Koma, A., Bahmanyar, S. and Maleki, H., Design fabrication and Hydrodynamic Analysis of a Biomimetic Robot Fish, 10th WSEAS International Conference on Automatic Control, Modelling & Simulation, pp.249-254, 2008.
- Guan, Z., Gao, W., Gu, N. and Nahavandi, S., 3D Hydrodynamic Analysis of a Biomimetic robot Fish, 11th International Conference Control, Automation, Robotics and Vision, pp.793-798,2010.
- Bergmann, M. and Lollo. A., Modeling and simulation offish-like swimming, Journal of Computational Physics, vol.290, pp. 329-348, 2011.
- Adkins, D. and Yan., Y.Y., CFD simulation of Fish-like Body moving in the viscous Liquid, Journal of Bionic Engineering, Vol.3, pp.147-153, 2006.
- Fangfang L., Can-Jun Y. and Kok-M. L., Hydrodynamic Modeling of an Undulating Fin for Robotic Fish Design, IEEE/ASME International Conference on Advance Intelligent Mechatronics Montreal, 2010.
- Barrett, D., Triantafyllou, M., Yue, D. and Grosenbauch, M.W., Drag reduction in fishlike locomotion, J. Fluid Mech. Vol.392, pp. 182-212, 1999.
- An Experimental Study of Grinding Performances of a Mild Steel under Different Environmental Conditions using Various Types of Nozzles
Abstract Views :391 |
PDF Views:126
Authors
Affiliations
1 Department of Mechanical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri- 735102, IN
1 Department of Mechanical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri- 735102, IN
Source
Reason-A Technical Journal (Formerly Reason-A Technical Magazine), Vol 17 (2018), Pagination: 48-56Abstract
Grinding is a mechanical metal removal process used in manufacturing industries. In this process, the material is removed from a work-piece material by an abrasive wheel. This process gives better surface finish and close tolerance. Grinding process removes material by shearing, ploughing, rubbing and brittle fracture with high- speed and a high input of energy per unit volume. The coolant or grinding fluid is used to reduce the temperature in grinding zone and also it is used as a lubricant into grinding zone. In present work, a five port multi-nozzle system has been developed and performance of this nozzle has been compared with flood type copper cooling nozzle under different environmental conditions. Two parameters (chip characteristics, surface roughness) of grinding are considered to find the suitable process for grinding of a mild steel specimen. From this experimental investigation, it can be observed that in wet condition, five port multi-nozzle system provides better surface finish as well as it is more economical.Keywords
Five Port Multi-nozzle, Surface Roughness, Depth of Cut, Grinding, Chip, Dry Test.References
- Bhattacharyya, A., Metal Cutting - Theory and Practice, New Central Book Agency (P) Ltd., Kolkata, 1984.
- Malkin, S., Grinding Technology-Theory and Application of Machining with Abrasives, Ellis Harwood Publication, UK, 1990.
- Chattopadhyay, A.B., Machining and Machine Tools, Wiley India Private Limited, 2011.
- Das, S., Sharma, A.O., Singh, S.S. and Nahate, S.V. Grinding Performance through Effective Application of Grinding Fluid, Proceedings of the International Conference on Manufacturing, pp.231-239, Dhaka, Bangladesh, 2000.
- Rowe, W.B., Morgan, M.N., Allanson D.R., An advance in the modelling of thermal effects in the grinding process, Annals of the CZRP, Vol.40, No.1, pp.339-342, 1991.
- Paul, S. and Chattopadhyay, A.B., A Study of Effects of Cryogenic Cooling in Grinding, International Journal of Machine Tools and Manufacture, Vol.35, No.1, pp.109-117, 1995.
- Paul, S. and Chattopadhyay, A.B., The Effect of Cryogenic Cooling in Grinding Forces, International Journal of Machine Tools and Manufacture, Vol.36, No.1, pp.63-72, 1996.
- Irani, R.A., Bauer, R.J. and Warkentin, A., A Review of Cutting Fluid Application in the Grinding Process, International Journal of Machine Tools and Manufacture, Vol.45, pp.1696-1705, 2005.
- Das, S., Improving Grinding Performance through Appropriate Grinding Fluid Application, Proceedings of the National Conference on Investment Casting, Durgapur, India, pp.97-103, 2003.
- Mandal, B., Majumdar, S., Das, S. and Banerjee, S., Formation of a Significantly Less Stiff Air Layer around a Grinding Wheel with a Rexine Leather Pasted Wheel, International Journal of Precision Technology, Vol.2, No.1, pp.12-20, 2011.
- Mandal, B., Singh, R., Das, S. and Banerjee, S., Improving Grinding Performance by Controlling Air Flow around a Grinding Wheel, International Journal of Machine Tools and Manufacture, Vol.51, No.9, pp.670-676, 2011.
- Mandal, B., Biswas, D., Sarkar, A., Das, S. and Banerjee, S. Grinding Performance Using a Compound Nozzle Characterized by Small Discharge of Fluid, Journal of the Association of Engineers, India, Vol.83, No.1, pp.28-35, 2013.
- Numerical Validation of Flow Boiling Analysis in Ansys Fluent with VOF Approach
Abstract Views :415 |
PDF Views:170
Authors
Affiliations
1 Department of Mechanical Engineering, Jalpaiguri Govt. Engineering College, Jalpaiguri- 735102, India, IN
1 Department of Mechanical Engineering, Jalpaiguri Govt. Engineering College, Jalpaiguri- 735102, India, IN
Source
Reason-A Technical Journal (Formerly Reason-A Technical Magazine), Vol 18 (2019), Pagination: 16-24Abstract
The present paper represents a numerical analysis of "ow boiling with volume of "uid (VOF) approach. The analysis has been carried out with the commercial CFD solver ANSYS Fluent 14.5. The said work is focused to demonstrate the suitability of the existing models in ANSYS Fluent to simulate precisely the boiling phenomenon when the "uid is in motion inside heated pipe. The proposed boiling dynamics is carried out with the available VOF approach inANSYS Fluent. The boiling process is handled with the evaporation and condensation model. The said work is validated with an existing experimental work and the validation shows good agreement. There is some error in this validation. That is because boiling phenomenon is highly turbulent and transient phenomenon. Boiling process deviates from the expected behaviour with little perturbation of heat transfer, surface temperature and "ow !eld etc.Another reason of error is that the boiling phenomenon is a highly localized process. The same type of "ow !eld may not present if authors replicate the same "ow boiling process. Overall, the proposed work shows satisfactory match with the said experimental work. This points out that one can use VOF model with evaporation-condensation boiling phenomenon for further hydro-geometric analyses of "ow boiling.Keywords
Flow Boiling, VOF Approach, Evaporation-condensation, Pipe Flow, Boiling.References
- Madhavi, V.S. and Vivek, V.R., TwoPhase Flow Boiling in Small Channel: A Brief Review, Sadhana, Vol. 38, Part 6, pp.1083–1126, 2013.
- Remi, R. and John, R.T., Experimental Investigation of R-134A And R 245FA Two-Phase Flow in Microchannels for Different Flow Conditions. International Journal of Heat and Fluid Flow, Vol. 28, pp.63–71, 2007
- Shiferaw, D., Huo, X., Karayiannis, T.G. and Kenning, D.B.R., Examination of Heat Transfer Correlations and a Model for Flow Boiling of R134a in Small Diameter Tubes, International Journal of Heat and Mass Transfer, Vol.50, pp.5177–5193, 2007.
- Syed, N.H. and Ali, S., Experimental Investigation of Heat Transfer Coeffcient in Vertical Tube Rising Film Evaporator, Mehran University Research Journal of Engineering & Technology, Vol. 30, 2011.
- Cristiano, B.T. and Gherhard, R., Flow Boiling Heat Transfer of R134a And R245fa in a 2.3 mm Tube, International Journal of Heat and Mass Transfer, Vol. 53, pp.2459–2468, 2010.
- Das, S. and Punekar, H., On Development of a Semimechanistic Wall Boiling Model, Journal of Heat Transfer, Vol. 138, pp.1-10., 2016.
- Sweta, S., Suresh, K.B. and Santosh, D., Numerical Simulation of Nucleate Boiling Case Using Fluent, International Journal of Engineering Research and Science & Technology, Vol. 4, 2015.
- Madhavi, V.S., Barley, R. and Vivek, V.R., Two-Phase Flow Boiling in 19mm Tube: Experiments and CFD modelling, The Canadian Journal of Chemical Engineering, Vol. 94, 2016.
- Garma, R., Bourouis, M. and Bellagi, A., Numerical Investigation of Nucleate Boiling Flow in Water Based Bubble Bumps, International Journal of Fluid Mechanics & Thermal Sciences, Vol. 1, No.2, pp.36-41, 2015. DOI: 10.11648/j.ijfmts.20150102.14
- ANSYS Inc., ANSYS Fluent Manual Release 14.5, 2012.
- Estimation of Drilling Burr Formation with Artificial Neural Network Analysis
Abstract Views :281 |
PDF Views:0
Authors
Affiliations
1 Kalyani Govt. Engineering College, Kalyani- 741235, Dist. Nadia, West Bengal, IN
2 Jalpaiguri Govt. Engineering College, Jalpaiguri- 735102, Dist. Jalpaiguri, West Bengal, IN
3 Kanchrapara Railway Workshop, Eastern Railway, West Bengal– 731345, IN
1 Kalyani Govt. Engineering College, Kalyani- 741235, Dist. Nadia, West Bengal, IN
2 Jalpaiguri Govt. Engineering College, Jalpaiguri- 735102, Dist. Jalpaiguri, West Bengal, IN
3 Kanchrapara Railway Workshop, Eastern Railway, West Bengal– 731345, IN
Source
Indian Science Cruiser, Vol 34, No 3 (2020), Pagination: 23-31Abstract
In drilling, the unwanted material adhered just beyond the hole produced in a workpiece material is known as a burr. In any conventional manufacturing process like drilling, milling, etc., machining burr is produced. There can be usually no conventional machining process which does not form burr. Presence of burr on the workpiece material leads to increasing production time as well as manufacturing cost. Minimization of burr height and thickness by changing machining process parameters and environmental condition yields decreasing production cost. The present work deals with prediction of burr height and burr thickness in the drilling process. An investigation has been performed by changing different process parameters like feed and cutting environment with respect to different drill diameters. From the experimental observation made by different sets of experiments with varying process parameters, minimum burr height and thickness are tried to find out. It is observed that using the back up support of the work material, burr height and thickness could be reduced remarkably. An Artificial Neural Network (ANN) model is developed using the experimental results. The neural network model estimates show close matching with the experimentally obtained results.Keywords
Machining, Drilling, Burr, Estimation, Artificial Neural Network, NN, ANN, Modeling.References
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- P Stringer, G. Byrne and E Ahearne, Tool Design for Burr Removal in Drilling Operations, Advanced Manufacturing Science Research Centre, Mechanical Engineering, University College Dublin, Belfield, Ireland.
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- P P Saha and S Das, An Investigation on the Effect of Machining Parameters and Exit Edge Beveling on Burr Formation in Milling, Journal of Mechatronics and Intelligent Manufacturing, Vol 2, page 73-84, 2011.
- S Kundu, S Das and P P Saha, Optimization of Drilling Parameters to Minimize Burr by Providing Back up Support on Aluminum Alloy, Procedia Engineering, Vol 97, page 230-240, 2014.
- B Dey, C Barman, D Paul and N Mondal, Optimization on the Process Parameters to Minimize in Drilling Burr Formation with ANOVA Analysis, Proceedings of the INCOM18, page 464-467, 2018.
- N Mondal, B S Sarder, R N Halder and S Das, Observation of Drilling Burr and Finding out the Condition for Minimum Burr Formation, International Journal of Manufacturing Engineering, Vol 2014, page 1-12, 2014.
- V N Gaitonde, S R Karnik, B T Achyutha and B Siddeswarappa, GA Application to RSM Based Models for Burr Size Reduction in Drilling, Journal of Scientific & Industrial Research, Vol 64, page 347-353, 2005.
- S R Karnik, V Gaitonde and J P Davim, Integration Taguchi Principle with Genetic Algorithm to Minimize Burr in Drilling of AISI 316L StainlessSteel Using Neural Network Model, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol 221, page 1695-1704, 2007.
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