Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Saha, B.
- Modeling of Flow Curve for 2219Al Alloys Microalloyed with Cd
Abstract Views :279 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, Tezpur University, Tezpur 784028, IN
1 Department of Mechanical Engineering, Tezpur University, Tezpur 784028, IN
Source
Indian Science Cruiser, Vol 35, No 1 (2021), Pagination: 25-31Abstract
Uniaxial tensile tests were conducted on cast and homogenized 2219Al alloys microalloyed with varying contents (0 to 0.1 wt.%) of Cd. Flow curves were generated and Hollomon equation was modeled. The influence of Cd additions on flow parameters like strain hardening exponent, strength co-efficient, elastic and plastic strains was investigated. Resilience and toughness values were estimated both by equation modeling and area integration methods.Keywords
Aluminium alloys, Microalloying, Age-hardening, Flow curve, Mechanical properties.References
- B D Dunn, The Corrosion Properties of Spacelab Structural Alloy Aluminum 2219-T851, Euro Space Agency, ESA STR-212, 1984.
- T B Sercombe and G B Schaffer, On the use of Trace Additions of Sn to Enhance Sintered 2xxx Series Al Powder Alloys, Mate Sc Eng A, Vol 32, page 268, 1999.
- S Banerjee, Mechanical Properties and High Temperature Deformation Behaviour of Al-Cu-Mg Alloys Microalloyed with Tin, Doctoral Thesis, IIT Guwahati, 2011.
- S Banerjee, P S Robi, A Srinivasan and P K Lakavath, Effect of Trace Additions of Sn on Microstructure and Mechanical Properties of Al-Cu-Mg alloys, Mate Des, Vol 31, page 4007-4015, 2010.
- V Maksimovic, V Radmilovic, T Milan, and G Slavicazec, The Effects of Microalloying with Si and Ge on Microstructure and Hardness of a Commercial Al alloy, J Sib Chem Soc, Vol 68, No 11, page 893-901, 2003.
- X Y Liu, Q L Pan, C G Lub and Y B Hea, Microstructure and Mechanical Properties of Al-Cu-Mg-Mn-Zr Alloy with Trace Amounts of Ag, Mate Sc Eng A, 2009.
- P N Raju, K S Rao, and G M Reddy, Microstructure and High Temperature Stability of Age Hardenable AA2219 Aluminium Alloy Modified by Sc, Mg and Zr Additions, Mate Sc and Eng, Vol 464, page192-201, 2007.
- J M Silcock and H M Flower, Comments on a Comparison of Early and Recent Work on the Effect of Trace Additions of Cd, In, or Sn on Nucleation and Growth of θ′ in Al-Cu Alloys, Scr Mate, Vol 46, page 389-394, 2002.
- M Vesna, S Zec and V Radmilovic, The Effects of Microalloying with Silicon and Germanium on Microstructure and Hardness of a Commercial Aluminium Alloys, J Serb Chem Soc, Vol 68, No11, page 893-901, 2003.
- F Wang, Y Zengb, B Xionga, Effect of Si Addition on the Microstructure and Mechanical Properties of Al-Cu-Mg Alloys, J All Com, Vol 585, page 474-478, 2014.
- K S Rao, Microstructure and Impression Creep of Age Hardenable AA2219 Aluminium Alloy Modified by Sc, Mg and Zr Additions, Trans Ind Ins Meta, Vol 63, No 2, page 379-384, 2010.
- W D Callister, An Introduction: Material Science and Engineering, John Wiley & Sons Inc, 4th Edition, 1997.
- J L Dosset and G E Totten, ASM handbook, Heat treatments, ASM International, Vol 4, 1991.
- V I Elagin, Ways of Developing High-Strength and High-Temperature Structural Aluminum Alloys in the 21st Century, Meta Sc Heat Treat, Vol 49, page 427434, 2007.
- G E Dieter, Engineering Materials, Mechanical Metallurgy, John Wiley & Sons, 4th Edition, Canada, 1988.
- A K Mukhopadhyay, On the Nature of the Second Phase Particles Present in an As-Cast Al-Cu-Mg-Ag Alloy, Script Mate, Vol 416, page 667-672, 1999.
- H J McQueen and N D Ryan, Constitutive Analysis in Hot Working, Mate Sc Eng A, Vol 322, page 43-63, 2002.
- C H Hsuch, P Miranda, P F Becher, An Improved Correlation between Impression and Uniaxial Creep, J App Phy, Vol 99, page 113-118, 2006.
- T R G Kutty, S Kaity and A Kumar, Impression Creep Behavior of U-6% Zr Alloy: Role of Microstructure, Proc Eng, Vol 55, page 561-565, 2013.
- T Matsunaga and E Sato, Creep Mechanisms in Several Grades of Aluminium at Low Temperature, Mate Trans, Vol 54, No 12, page 2205-2208, 2005.
- S Gogoi, Effect of Rolling and Age-Hardening on the Mechanical Properties of Microalloyed 2219 Al Alloy, Master’s thesis, Tezpur University, Assam, India, 2017.
- P Lehto, Influence of grain size distribution on the Hall-Petch Relationship of Welded Structural Steel, Alto doc, Vol 592, page 28-39, 2014.
- Y Li, The Hall-Petch Effect as a Manifestation of the General Size Effect, School of Engineering and Materials Science, Queen Mary University of London, London E1 4NS, England.
- P Kusakin, Modeling the Effect of Deformation on Strength of a Fe-23Mn-0.3C-1.5Al TWIP steel, Belgorod State University, Belgorod, Russia, 2019.
- M Schneider, Effect of Temperature and Texture on Hall-Petch Strengthening by Grain and Annealing Twin Boundaries in the MnFeNi Medium-Entropy Alloy, MDPI, 2015.
- S Thangaraju, On the Estimation of True Hall-Petch Constants and their Role on the Superposition Law Exponent in Al Alloys, Adv Eng Mate, Vol 10, page 892897, 2011.
- An Application of DWT and RBFNN for Fault Location for Single Line to Ground Fault on Hvac Transmission Line
Abstract Views :738 |
PDF Views:157
Authors
Affiliations
1 Department of Electrical Engineering, Kalyani Government Engineering College, Kalyani-741235, IN
1 Department of Electrical Engineering, Kalyani Government Engineering College, Kalyani-741235, IN
Source
Reason-A Technical Journal (Formerly Reason-A Technical Magazine), Vol 14 (2015), Pagination: 45-53Abstract
This article demonstrates a technique for diagnosis of fault location on overhead transmission lines for single line to ground fault. The proposed method is based on discrete wavelet transform (DWT) and radial basis function neural network (RBFNN). A number of features have been extracted from faulty signal using DWT and are used for training of RBFNN for fault detection. It has been found that fault locator based on discrete wavelet transform and RBFNN neural network can accurately locate the fault with an average accuracy 2.31%. From the result it can be concluded that the proposed method for fault location estimation for a single line to ground fault (LG fault) is capable of giving results with acceptable accuracy.Keywords
Discrete Wavelet Transform (DWT), Multi-Resolution Analysis (MRA), Radial Basis Function Neural Network, (RBFNN), Single Line to Ground Fault (LG Fault).References
- Abdel-Akher, M. and Mohamed N.K., Fault analysis of multiphase distribution systems using symmetrical components, IEEE Trans. Power Deliv., Vol. 25, No. 4, pp. 2931–2939, 2010.
- Chanda, D., Kishore, N.K. and Sinha, A.K., Application of wavelet multi resolution analysis for identification and classification of faults on transmission lines, Electr. Power Syst. Res., Vol. 73, pp. 323–333, 2005.
- Doaa, K.I., El Sayed, T.E., Essam, M.A.Z. and Saber, M.S., Real time evaluation of DWT-based high impedance fault detection in EHV transmission, Electric Power Systems Research, Vol. 80, pp. 907–914, 2010.
- Costa, F.B., Fault-induced transient detection based on real time analysis of the wavelet coefficient energy, IEEE Trans. Power Deliv., Vol. 29, No. 1, pp. 140–153, 2014.
- Silva, K.M., Souza, B.A. and Brito, N.S. D., Fault Detection and Classification in Transmission Lines Based on Wavelet Transform and ANN, IEEE Transactions On Power Delivery, Vol. 21, No. 4, pp. 2058-2063, 2006.
- Safty, S.El and El-Zonkoly, A., Applying wavelet entropy principle in fault classification, Electrical Power and Energy Systems, Vol. 31, pp. 604-607, 2009.
- He, Z., Fu, L., Lin, S. and Bo, Z., Fault Detection and Classification in EHV Transmission Line Based on Wavelet Singular Entropy, IEEE Transactions on Power Delivery, Vol. 25, No. 4, 2010.
- El-Zonkoly, A.M. and Desouki, H., Wavelet Entropy Based Algorithm for Fault Detection and Classification in FACTS Compensated Transmission Line, Energy and Power Engineering, Vol. 3, pp. 34-42, 2011.
- Sedighi, A.-R., Haghifam, M.-R., Malik, O.P. and Ghassemian, M.-H., High impedance fault detection based on wavelet transform and statistical pattern recognition, IEEE Trans. Power Deliver, Vol. 20, No. 4, pp. 2414–2421, 2005.
- Reddy, M.J., and Mohanta, D.K., A wavelet-fuzzy combined approach for classification and location of transmission line faults, Int. J. Electr. Power, Vol. 29, pp. 669–678, 2007.
- Nguyen, T. and Liao, Y., Transmission line fault type classification based on novel features and neuro-fuzzy system, Electr. Power Compon. Syst., Vol. 38, No. 6, pp 695–709, 2010.
- Costa, F.B., High-frequency transients-based protection of multi terminal transmission lines using the SVM technique, IEEE Transaction On Power Delivery, Vol. 28, No. 1, pp. 188–196, 2013.
- Bhowmik P.S., Purkait P., Bhattacharya K., A novel wavelet transform aided neural network based transmission line fault analysis method, Electrical Power and Energy Systems, Vol. 31, pp. 213-219, 2009
- Ngaopitakkul A., Bunjongjit S. An application of a discrete wavelet transform and a back-propagation neural network algorithm for fault diagnosis on single-circuit transmission line, International Journal of Systems Science, Vol. 44, No. 9, pp. 1745–1761, 2013,
- Dommel, H.W., Electromagnetic transients program reference manual, EMTP Theory Book, 1986.
- Robertson, D.C., Camps, O.I., Mayer, J.S. and Gish, W.B., Wavelet and electromagnetic powers system transients, IEEE Trans. Power Delivery, Vol. 11, No. 2, pp. 1050-1058, 1996.
- Chaari, O., Meunier, M. and Brouaye, F., Wavelets: A new tool for the resonant grounded power distribution systems relaying, IEEE Trans. on Power Delivery, Vol. 11, No. 3, pp. 1301-1308, 1996.
- Mallat, S.G., A theory for multi resolution signal decomposition: The wavelet representation, IEEE Trans. Pattern Anal. Mach. Intelligence, Vol.11, No. 7, pp. 674-693, 1989.
- Segal, R., Kothari, M.L. and Madnani, S., Radial Basis Function (RBF) Network Adaptive Power System Stabilizer, IEEE Transactions on Energy Conversion, Vol. 15, No. 2, pp. 722–727, 2000