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Anand, K.
- Effect of Formamide on the Surface and Thermodynamic Properties of some Surfactant Solutions
Abstract Views :168 |
PDF Views:2
Authors
Affiliations
1 Department of Chemistry and Physics, CCS Haryana Agricultural University, Hisar-125 004, IN
1 Department of Chemistry and Physics, CCS Haryana Agricultural University, Hisar-125 004, IN
Source
Journal of Surface Science and Technology, Vol 15, No 1-2 (1999), Pagination: 58-68Abstract
From the measured surface tension data, surface properties and thermodynamic quantities of micellization, adsorption at the air-liquid interface and transfer from water to mixed solvent (formamide + water) have been determined for the systems : (1) Sodium Dodecyl Sulphate + Formamide + Water; (2) Dodecyl Trimethyl Ammonium Bromide + Formamide + Water and (3) Triton X-100 + Formamide + Water. The process of micellization in the bulk solution and the adsorption of surfactants at the air-liquid interface are favoured by the enthalpy as well as the entropy effects. The results have been descirbed in terms of the intermolecular interaction of the components in the solutions.Keywords
Micellization, Adsorption, Mixed Solvents, Thermodynamics of the Processes, Intermolecular Interaction.- Optimization of Process Parameters for Cutting Force for Aluminium 7010 in CNC End Milling Process
Abstract Views :241 |
PDF Views:98
Authors
Affiliations
1 Dept. of Mech. Engg., Parisutham Institute of Tech. and Sci., Thanjavur, IN
2 Dept. of Production Engg., PSG College of Tech., Coimbatore, Tamil Nadu, IN
1 Dept. of Mech. Engg., Parisutham Institute of Tech. and Sci., Thanjavur, IN
2 Dept. of Production Engg., PSG College of Tech., Coimbatore, Tamil Nadu, IN
Source
International Journal of Vehicle Structures and Systems, Vol 10, No 6 (2018), Pagination: 399-403Abstract
In this paper CNC end milling process have been optimized in cutting force and surface roughness based on the three process parameters (i.e.) speed, feed rate and depth of cut. Since the end milling process is used for abrading the wear caused is very high, in order to reduce the wear caused by high cutting force and to decrease the surface roughness, the optimization is much needed for this process. Especially for materials like aluminium 7010, this kind of study is important for further improvement in machining process and also it will improve the stability of the machine.Keywords
End Milling Process, Cutting Force, Surface Roughness, RSM.References
- S.S. Sadham, N. Rakesh, N. Nisaantha kumar and V. Krishnaraj. 2015. Study on cutting forces and tool wear during end milling of Ti-6Al-4v alloy, Int. J. Mech. and Production Engg., 3(9), 75-80.
- H.R. Gye, B.U. Song, Y.S. Lim, Y.W. Shin, S.H. Jang, and T.I. Seo. 2013. Prediction of cutting force and tool deflection, in micro flat end milling, Int. J. Materials, Mechanics and Mfg., (1), 13-16. https://doi.org/10.7763/IJMMM.2013.V1.3.
- W.H. Lai. 2000. Modeling of cutting forces in end milling operations, Tamkang J. Sci. & Engg., 3(1), 15-22.
- C. Liu, G. Wang, M.S. Dargusch and S. Matthew. 2014. Mechanics and dynamics of helical milling operations, J. Mech. Engg., 60(11), 716-724. https://doi.org/10.5545/sv-jme.2013.1588.
- P. Maurya, P. Sharma and B. Diwaker. 2012. Implementation of Taguchi methodology to optimization of CNC end milling process parameters of AL6351 - T6, Int. J. Modern Engg. Research, 2(5), 3530-3533.
- A.M. Khorasani, M.R.S. Yazdi and M.S. Safizadeh. 2011. Tool life prediction in face milling machining of 7075 Al by using artificial neural networks (ANN) and Taguchi design of experiment (DOE), Int. J. Engg. and Tech., 3(1), 30-35. https://doi.org/10.7763/IJET.2011.V3.196.
- M. Nurhaniza, M.K.A.M. Ariffin, F. Mustapha, and B.T.H.T. Baharudin. 2016. Analyzing the effect of machining parameters setting to the surface roughness during end milling of CFRP-Aluminium composite laminates, Int. J. Manuf. Engg., 4680380. https://doi.org/10.1155/2016/4680380.
- S. Moshat, S. Datta, A. Bandyopadhyay and P.K. Pal. Optimization of CNC end milling process parameters using PCA-based Taguchi method, Int. J. Engg, Sci. and Tech., 2(1), 95-102.
- W.M. Ponnala and K.L.N. Murthy. 2012. Modeling and optimization of end milling machining process, Int. J. Research Engg. and Tech., 1(3), 430-447. https://doi.org/10.15623/ijret.2012.0103041.
- P. Norman, M. Rantatalo and I. Svenningsson. 2006. Monitoring of the machining process for aluminium and steel, Proc. 10th Int. Research / Expert Conf. Trends in the Dev. of Machinery and Associated Tech., Spain.
- S.T. Warghat, N.S. More and T.R. Deshmukh. 2015. Experimental investigation & analysis of machining parameters of CNC end milling operation, An overview, Proc. National Conf. Emerging Research Trends in Engg. and Tech., 36-40.
- N.V. Dhandapani, V.S. Thangarasu, and G. Sureshkannan. 2015. Investigation on effect of material hardness in high speed CNC end milling process, Scientific World J., 762604. https://doi.org/10.1155/2015/762604.
- K. Sivakumar and B. Sreenivasulu. 2015. Optimization and process parameters of CNC end milling for Aluminum alloy 6082, Int. J. Innovations in Engg. Research and Tech., 2(1), 1-6.
- D.P. Dhiman and R. Singh. 2016. Optimization of CNC end milling process parameter of aluminum lm-24 by using Taguchi technique, Int. J. Latest Trends in Engg. and Tech., 6(4), 501-507.
- V.D. Patil and S.T. Bagde. 2015. A review on multi objective optimization of CNC end milling parameters for machining aluminium alloy (Al2024-T4) by using expert system, Int. J. Recent and Innovation Trends in Computing and Communication, 3(2), 60-63.
- D.H. Patel and V.N. Patni. 2014. An investigation effect of machining parameters on CNC router, Int. J. Engg. Development and Research, 2(2), 1583-1587.
- A. Salankar and M.T. Shete. 2017. Optimization of process parameters of face milling on aluminium-bronze and Inconel 625 by Taguchi method, Int. Research J. Engg. and Tech., 4(5), 1259-1265.
- M. Patel. 2015. Optimization of milling process parameters - A review, Int. J. Advanced Research, Engg. and Applied Scis., 4(9), 24-37.
- K.S. Rao, N. Sravani, N.V.A. Prasad, M. Sindhuja and D. Lohith. 2015. Precession of surface roughness by CNC end milling, Int. Research J. Engg. and Tech., 2(3), 1089-1096.
- M.H.F. Al Hazza and E.Y.T. Adesta. 2013. Investigation of the effect of cutting speed on the surface roughness parameters in CNC end milling using artificial neural network, IOP Conf. Series Materials Sci. and Engg., 53(1), 012089.
- Wireless Instrumentation System Experiment
Abstract Views :167 |
PDF Views:87
Authors
Bibin Varghese
1,
S. Sreelal
1,
S. Sreekumar
1,
P. Vinod
1,
M. N. Namboothiripad
1,
Joseph Lal
2,
K. Anand
2
Affiliations
1 Avionics Entity, and Vikram Sarabhai Space Centre, Indian Space Research Organisation, Thiruvananthapuram 695 022, IN
2 Advanced Space Transportation Systems, Vikram Sarabhai Space Centre, Indian Space Research Organisation, Thiruvananthapuram 695 022, IN
1 Avionics Entity, and Vikram Sarabhai Space Centre, Indian Space Research Organisation, Thiruvananthapuram 695 022, IN
2 Advanced Space Transportation Systems, Vikram Sarabhai Space Centre, Indian Space Research Organisation, Thiruvananthapuram 695 022, IN
Source
Current Science, Vol 120, No 1 (2021), Pagination: 152-160Abstract
This article describes the design details of a Wireless Instrumentation System that was experimented in ISRO’s recent Human in Space Project (HSP) Pad Abort Test (PAT) mission in piggy-back mode. The system consists of a few Wireless Sensor Nodes (WSNs) that acquire parameter data and a Wireless Base Station that collects these over an IEEE 802.15.4 compatible single-hop RF link and forward it to the telemetry subsystem. The circuit configuration, communication link and protocol as well as the measurement plan as adopted for HSP-PAT flight test are described to bring out the scalability of the architecture. The performance of the system in HSP-PAT mission is discussed in detail by way of PFA analysis results. All the parameters monitored through the system, including inertial ones such as acceleration and rotation were compared with reference data obtained from functional Telemetry Telecommand and Power and Navigation Guidance and Control chains and showed normal signatures. Maintaining an uninterrupted wireless communication channel in a hostile and crowded chamber like the Crew Module for all the nodes has called for a robust Medium Access Control (MAC) layer based on the industry-popular IEEE802.15.4 RF PHY. The requirement of such a robust MAC layer is established when the radio frequency links outage encountered in one of the WSN links during the interval of high vehicle dynamics is seen to be taken care of by the diverse link of the same node. A future roadmap towards self-powered wireless sensors is also outlined.Keywords
Data Acquisition, Human In Space Project, Launch Vehicle Telemetry, Wireless Sensor Network.References
- Pillai, S. S. et al., A versatile, software programmable telemetry system for satellite launch vehicles. In Proceedings of International Telemetering Conference (ITC 06), San Diego, USA, October 2006.
- Jose, S. et al., Instrumentation and baseband telemetry for RLV-TD Hex mission. J. Inst. Eng. (India): Ser. C, 2017, 98(6), 697–704.
- Varghese, B., Sreelal, S., Sreekumar, S., Vinod, P. and Mookiah, T., IEEE802.15.4 based efficient beaconing MAC for real-time aerospace applications. In IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (IEEE SPICES 2015), NIT Calicut, February 2015.
- Varghese, B., John, N. E., Sreelal, S. and Gopal, K., Design and development of an RF Energy Harvesting Wireless Sensor Node (EH-WSN) for aerospace applications. In Sixth International Conference on Advances in Computing and Communications (ICACC 2016), Cochin, September 2016; Reprinted in Procedia Comput. Sci., 2016, 93, 230–237.
- Kesuma, H., Sebald, J., Ahobala, T. and Paul, S., Ariane 5 Space Launcher Vehicle Equipment Bay Wireless Sensor Network Telemetry Subsystem with Smart Sensors, In 36th European Telemetry and Test Conference, Nuremberg, Germany, 2016, pp.233–238.
- Tati, D., Klaue, J. and Sebald, J., Reliable real-time wireless sensor networks using spatial diversity. In IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), Aachen, Germany, 2016.
- Blanckenstein, J., Nardin, C., Klaue, J. and Karl, H., Error characterization of multi-access point WSN’s in an aircraft cabin. In ICC 2015 Workshop on Dependable Vehicular Communications, June 2015.
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- Tanghe, E. et al., The industrial indoor channel: large-scale and temporal fading at 900, 2400, and 5200 MHz. IEEE Trans. Wireless Commun., 2008, 7(7), 2740–2751.
- IEEE 802.15.4 Standard: Wireless medium access control (MAC) and physical layer (PHY) specifications for low-rate wireless personal area networks (WPANs). 2006, pp. 1–323.
- Burke, E., Aerospace vehicle scalable, modular and reconfigurable technologies to bring innovation and affordability. In 30th Space Symposium, Colorado, USA, May 2014.
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