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- Indian Forester
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- An Asian Journal of Soil Science
- Artificial Intelligent Systems and Machine Learning
- International Journal of Innovative Research and Development
- Journal of Engineering Education Transformations
- Manufacturing Technology Today
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
Narayana Rao, K.
- Contribution to the Flora of Tirupati Hills-part III
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Indian Forester, Vol 97, No 2 (1971), Pagination: 89-100Abstract
Present contribution enumerates 382 species and 1 variety of vascular plants belong ing to 92 families collected from the Tirupati Hills and neighbourhood, inclusive of six new records for the Deccan region. With this, a total of 1180 taxa belonging to 156 famalies of vascular plants are known from the Tirupati Hills and neighbourhood. Of these 986 are Dicotyledones, 155 are Monocotyledones, 2 are Gymnosperms and 37 are Pteridophytes. Among the 156 families, Lamiaceae (Papilionaceae) and Poaceae (Gramineae) are well represented with 103 and 72 species respectively, followed closely by Euphorbiaceae, Asteracene (Compositae) and Acanthaceae with 62, 60 and 56 species respectively. Telugu names locally used are given to most taxa.
- Enhanced Coefficient of Performance by Effective Suction Line Cooling- an Experimental Report
Abstract Views :395 |
PDF Views:114
Authors
Affiliations
1 School of Mechanical and Building Sciences, VIT University, Vellore-632014
2 Vignan Institute of Technology and Sciences, Hyderabad - 508284, IN
3 Osmania University, Hyderabad - 500007, IN
1 School of Mechanical and Building Sciences, VIT University, Vellore-632014
2 Vignan Institute of Technology and Sciences, Hyderabad - 508284, IN
3 Osmania University, Hyderabad - 500007, IN
Source
Indian Journal of Science and Technology, Vol 5, No 10 (2012), Pagination: 3403-3411Abstract
The present paper is concerned with theoretical and experimental study and development of effective suction gas heat exchanger for hermetically sealed compressor. A single tube counter flow heat exchanger had been used, where water itself had been taken as a coolant. Energy consumption parameters as well as COP values have been obtained analytically for both the cases. Energy consumption parameter is 12% less as an average for a heat exchanger attached system compared to the system with out heat exchanger in a time span of 90 minutes. COP values obtained with heat exchanger are firmly better than that of the values with out Heat exchanger. COP values observed to be 7% higher for a heat exchanger coupled system compared to the system with out heat exchanger in the same time span of 90 minutes. In the present scenario where systems optimization is a necessity the present work would be useful in developing a energy efficient system with few modifications. This work would be useful to tackle the heat transfer related issues present in many gas compressors used in pumping and process industries.Keywords
Suction Line Cooling, Heat Exchanger, COP, Refrigeration, T-S Plot, Density, RefrigerantFull Text
References
- Akella Suresh, Rao NJ, Venugopal PV, Venkateswarlu K and Manohar TJ (1986) An experimental method for design and performance evaluation of a hermetic compressor. Proc. 1986 Int. Compressor Eng. Conf. Purdue. 2, 428-443.
- Edison G, Suresh A and Narayana Rao K (2009) Effect of suction line cooling by incorporating a heat exchanger before a compressor to enhance COP of refrigerator. Int. J. Mech. & Automobile Eng. (IJMAE). 1(1), 01-07.
- Fabian Fagotti and Alvaro T Prata (1998) A new correlation for instantaneous Heat transfer between Gas and cylinder in reciprocating compressors. Proc. Int. Compressor Technol. Conf., Purdue, West Lafayette, USA. pp: 605-610
- John J Jacobs (1978) Analytic and experimental techniques for evaluating compressor performance losses. Ray W.Herrick Lab., Purdue Univ., West Lafayette, Indiana. pp: 22-30.
- McGovern JA (1990) Utilization of volumetric displacement in reciprocating compressors. Proc. Int. Compressor Technol. Conf., Purdue, West Lafayette, USA. pp: 254–263.
- Roland Aigner and Herbert Steinrück (2007) Modelling fluid dynamics, Heat transferand valve dynamics in a reciprocating compressor’institute of fluid dynamics and heat transfer. Vienna Univ. Technol., Vienna Austria 5th Conf. EFRC. 3, 21-23, pp: 171-180.
- Suresh Akella, Rao NJ, Venugopal EV and Manohar TJ (1986) An experimental method for design and performance evalution of a hermetic compressor. Proc. 1986 Int. Compressor Eng. Conf., Purdue. 1, 428-443.
- Suresh Akella, Rao NJ, Venugopal EV and Manohar TJ (1988) Performance optimization of a 1.5 ton hermetically sealed compressor through parameter design. Proc. 1988 Int. Compressor Eng. Conf., Purdue. 2, 520-525.
- Supplier Evaluation through Data Envelopment Analysis
Abstract Views :286 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, Wellfare Institute of Science, Technology and Management, Visakhapatnam, A.P, IN
2 Department of Mechanical Engineering, Andhra University, Visakhapatnam, A.P, IN
3 Sathavahana Ispat Ltd., Bellary, Karnataka, IN
4 Department of Mechanical Engineering, Govt. Polytechnic, Visakhapatnam, A.P, IN
1 Department of Mechanical Engineering, Wellfare Institute of Science, Technology and Management, Visakhapatnam, A.P, IN
2 Department of Mechanical Engineering, Andhra University, Visakhapatnam, A.P, IN
3 Sathavahana Ispat Ltd., Bellary, Karnataka, IN
4 Department of Mechanical Engineering, Govt. Polytechnic, Visakhapatnam, A.P, IN
Source
Journal of Supply Chain Management Systems, Vol 1, No 2 (2012), Pagination: 1-11Abstract
In this paper, a methodology is proposed for evaluating the efficiency and performance of the suppliers through Data Envelopment Analysis (DEA) technique. DEA is a multifactor productivity technique to measure the relative efficiency of the decision making units. Super Efficiency and Cross Efficiency methods are employed in this work to determine the efficiencies and the performance scores of the suppliers respectively. A numerical illustration is presented to demonstrate the proposed methodology. Twenty three suppliers are considered in the study. Each supplier has six inputs and five outputs. On the basis of super efficiency and cross efficiency scores, the suppliers are classified into different clusters. The suppliers' performance-efficiency score grid is developed, which helps the management to take effective decision in the selection of the suppliers of a company.Keywords
Supplier Evaluation, Data Envelopment Analysis, Super Efficiency, Cross EfficiencyReferences
- Elanchezhian, C., Ramnath, B.V. & Kesavan. R. (2010), Vendor Selection using Analytical Hierarchy Process in Supply chain management, Journal of Engineering Research and Studies, 1(1), 118-127.
- Elanchezhian, C., Ramnath, B.V. & Kesavan, R. (2010), Vendor Evaluation using multi criteria decision making technique, International Journal of Computer Applications, 5(9), 4-9.
- Handfield, R., Walton, S.V., Sroufe, R & Melnyk, S.A. (2002), Applying environmental criteria to supplier assessment: A study in the application of the Analytic Hierarchy Process, European Journal of Operation Research, 141(1), 70-87.
- Ho, W., Xu, X. & Dey, P, (2010), Multi-criteria decision making approaches for supplier evaluation and selection: A literature review, European Journal of Operational Research, 202(1), 16-24.
- Malekmohammadi, N., Lotfi, F.H. 7 Jaafar, A.B. (2011), Data envelopment scenario analysis with imprecise data, Central European Journal of Operations Research, 19(1), 65-79.
- Narasimhan, R & Srinivas, T. (2001), Supplier Evaluation and Rationalization via Data Envelopment Analysis: An empirical examination, The Journal of Supply Chain Management, 37(3), 28-37.
- Nydic, R.L & Hill, R.P. (1992), Using Analytic Hierarchy Process to structure the supplier selection procedure, International Journal of Purchasing and Materials Management, 28(2),31-36.
- Petroni, A. & Braglia, M. (2000), Vendor selection using Principal component analysis, Journal of Supply Chain Management, 36(2), 63- 69.
- Sepehrdoust, H. (2011), Efficiency measurement of housing sector using DEA model, International Conference on Economics and Finance Research, Singapore, 4, 325-329.
- Srinivas, T. & Narasimhan, R. (2004), A methodology for strategic sourcing, European Journal of Operational Research, 154 (1), 236- 250.
- Tam, M.C.Y & Tummala, V.M.R. (2001), An application of the AHP in vendor selection of telecommunications system, Omega, 29(2), 171-182.
- Timmerman, E. (1986), An approach to vendor performance evaluation, Journal of Supply Chain management, 22(4), 2-8.
- Soil Potassium Dynamics under Intensive Rice Cropping in Tbp Command Area of North Karnataka
Abstract Views :602 |
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Authors
Affiliations
1 Department of Soil Science and Agricultural Chemistry, University of Agricultural Sciences, Raichur (KARNATAKA), IN
2 Department of Soil Science and Agricultural Chemistry, University of Agricultural Sciences, Dharwad (KARNATAKA)
3 Department of Soil Science and Agricultural Chemistry, University of Agricultural Sciences, Dharwad (KARNATAKA), IN
1 Department of Soil Science and Agricultural Chemistry, University of Agricultural Sciences, Raichur (KARNATAKA), IN
2 Department of Soil Science and Agricultural Chemistry, University of Agricultural Sciences, Dharwad (KARNATAKA)
3 Department of Soil Science and Agricultural Chemistry, University of Agricultural Sciences, Dharwad (KARNATAKA), IN
Source
An Asian Journal of Soil Science, Vol 8, No 2 (2013), Pagination: 319-324Abstract
No abstractKeywords
Correlations, Cropping Sequence, Dynamic Equilibrium, Forms of Potassium, PaddyReferences
- Amiri, R. and Dordoi, M.S. (1997). Potassium forms and clay mineralogy of some paddy soils in Northern Iran. J. Pot. Res., 13(1): 1-11.
- Anonymous (2009). Statistical Abstract of Karnataka, Directorate of Economics and Statistics, BANGALORE (KARNATAKA) INDIA. Black, C. A. (1965). Methods of soil analysis. Part II Chemical and microbiological properties. American Soc. Agron., Inc. Madison, USA.
- Hebsur, N.S. (1997). Studies on chemistry of potassium in sugarcane soils of North Karnataka. Ph.D. Thesis, University of Agricultural Sciences, DHARWAD, KARNATAKA (INDIA).
- Hegde, D.M. and Sudhakar Babu, S.N. (2001). Nutrient mining in agroclimatic zones of Karnataka. Fert. News, 46(7) : 55-72.
- Gali, S.K. (1998). Studies on potassium dynamics in rice soils of different agro climatic zones of Karnataka. Ph.D. Thesis, University of Agricultural Sciences, DHARWAD, KARNATAKA (INDIA).
- Jackson, M.L. (1973). Soil chemical analysis. Prentice Hall (India) Pvt. Ltd., NEW DELHI (INDIA).
- Kadrekar, S.B. (1976). Soils of Maharashtra State with reference to the forms and behavior of potassium. Bull. Indian Soc. Soil Sci., 10 : 33-37.
- Knudsen, D. Peterson, G.J., and Pratt, P.F. (1982). Lithium, sodium and potassium. In: Method of soil analysis part II. Chemical and microbiological properties. Ed. Page, A.L., American Society of Agronomy, Inc., Soil Science Society of America. Inc., Madison, Wiscosin, USA.
- Lim, C.H. and Jackson, M.L. (1982). Dissolution for total chemical analysis In: Method of soil analysis part II Chemical and microbiological properties. Ed. Page, A.L., American Society of Agronomy, Inc., Soil Sci. Soc. Am. Inc Madison, USA.
- Mac Lean, A.J. (1961). Potassium supplying power of some Canadian soils. Canadian J. Soil Sci., 41 : 196-197.
- Patil, Y.M. and Sonar, K.R. (1993). Dynamics of potassium in swell-shrink soils of Maharastra. J. Pot. Res., 9(4): 315-324. Patel, M.S., Patil, R.G. and Sutaria, G.S. (1986). Potassium supplying power of medium black calcareous soils of Western Gujarat. J. Pot. Res., 2 : 113-117.
- Pharande, A.L. and Sonar, K.R. (1996). Depth wise distribution of different forms of potassium in important vertisol soil series of Maharashtra. J. Indian Soc. Soil Sci., 12(2): 127-134.
- Piper, C.S. (1966). Soil and plant analysis. Hans Publishers Bombay. Ranganathan, A. and Sathynarayana, T. (1980). Studies on potassium ststus of soils of Karnataka. J. Indian Soc. Soil Sci., 28: 148-153.
- Raskar, B.N. and Pharande, A.L. (1997). Different forms of potassium and their distribution in some important soil series of Vertisol and Alfisol of western Maharashtra. J. Pot. Res., 13(1): 21- 30.
- Singh, Y.P., Singh, M. and Singh, R. (1985). Forms of soil potassium in western part of Haryana. J. Indian Soc. Soil Sci., 33 : 284-291.
- Venkatesh, M.S. and Sathyanarayana, T. (1994). Status and distribution of potassium in vertisols of North Karnataka. J. Indian Soc. Soil Sci., 42 : 229-233.
- Supplier Selection Through Fuzzy Goal Programming (FGP)
Abstract Views :192 |
PDF Views:4
Authors
Affiliations
1 Flash Forge Pvt Ltd., Visakhapatnam, IN
2 Department of Mechanical Engineering, Andhra University, Visakhapatnam, IN
3 Mechanical Engineering Department, Government Polytechnic, Visakhapatnam, IN
1 Flash Forge Pvt Ltd., Visakhapatnam, IN
2 Department of Mechanical Engineering, Andhra University, Visakhapatnam, IN
3 Mechanical Engineering Department, Government Polytechnic, Visakhapatnam, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 1, No 7 (2009), Pagination: 235-242Abstract
Industries are under intense pressure to find ways for producing goods at lower cost, lead time and at the same time with higher quality, reliability, performance and with other requirements, so as to survive/sustain their competitive position in their respective markets. As cost of components, sub-assemblies and raw materials constitute the main cost of the product, utmost focus is being laid to this major cost contributing factor. Due to consideration of many contradictory criteria, supplier selection is considered as a Multi Criteria Decision Making (MCDM) problem. Fuzzy Goal Programming (FGP) is one of the methods used for solving the MCDM problems. In this paper supplier selection ethodology through FGP is presented and the supplier selection criteria are formulated keeping the requirements of industries such as automobiles, ship building, aircraft making, heavy engineering, etc., in consideration.Keywords
Supplier Selection, Multi Criteria Decision Making, Supply Chain Management, Fuzzy Goal Programming.- Evaluation of Supply Chains of the Organizations through Dematel/AHP
Abstract Views :189 |
PDF Views:3
Authors
Affiliations
1 Mechanical Engineering Section, Govt. Polytechnic, Yadagirigutta, Telangana, IN
2 Mechanical Engineering Section, Department of Technical Education, Hyderabad, Andhra Pradesh, IN
3 Department of Mechanical Engineering, J.N.T.U., Hyderabad, Telangana, IN
1 Mechanical Engineering Section, Govt. Polytechnic, Yadagirigutta, Telangana, IN
2 Mechanical Engineering Section, Department of Technical Education, Hyderabad, Andhra Pradesh, IN
3 Department of Mechanical Engineering, J.N.T.U., Hyderabad, Telangana, IN
Source
International Journal of Innovative Research and Development, Vol 5, No 5 (2016), Pagination: 110-115Abstract
In recent years, performance measurement and metrics of organizations have received much attention from researchers and practitioners. The role of these measures and metrics in the success of an organization cannot be overstated because they affect strategic, tactical and operational planning and control. Performance measurement and metrics have an important role to play in setting objectives, evaluating performance and determining future courses of actions. Performance measurement and metrics pertaining to leagile supply chains have not received adequate attention from researchers or practitioners. In the area of supply chain management, application of MCDM methods is limited to supplier selection and transportation carrier selection.
In this paper, fifteen organizations involved in production of apparels in Telangana and Andhra Pradesh are considered for evaluation of supply chain strategies in leagile perspective using DEMATEL-AHP methodology. AHP frame work is developed with level 0 as goal of analyzing the leagile performance of the supply chains. Performance measures are considered in level 1. Level 2 contains enablers of the performance measures of leagile supply chains. Level 3 contains fifteen supply chain organizations. Weights of the performance enablers are determined through FPIR and FNIR approach without interdependence. DEMATEL is employed to determine the relative weights of the performance enablers from interdependence. DEMATEL is employed to determine the relative weights of the performance enablers from interdependence. Global weights of performance enablers are determined by successively multiplying the weights of performance measures with the weights respective enablers. Evaluation of supply chains in leagile perspective is done by finding out leagile index obtained by weighted sum of payoff of the enablers.
Keywords
Leagile Supply Chain Strategy, Leagile Index, Performance Measurement, Performance Enablers, Flexibility.Full Text
- Development of Total Quality Engineering Education Model Using QFD
Abstract Views :186 |
PDF Views:0
Authors
Affiliations
1 Dept. of Mechanical Engg., Cramster Educational Services Pvt. Ltd. , Visakhaptnam, IN
2 Government Poly Technic, Vizianagaram, IN
3 Government Poly Technic, Bhimili, Visakhapatnam Dist, IN
4 Department of Mechanical Engineering, Andhra University, Visakhapatnam, IN
1 Dept. of Mechanical Engg., Cramster Educational Services Pvt. Ltd. , Visakhaptnam, IN
2 Government Poly Technic, Vizianagaram, IN
3 Government Poly Technic, Bhimili, Visakhapatnam Dist, IN
4 Department of Mechanical Engineering, Andhra University, Visakhapatnam, IN
Source
Journal of Engineering Education Transformations, Vol 21, No 4 (2008), Pagination: 1-6Abstract
The development and socio-economic condition of a nation is determined by enhancing the quality in Engineering education. There is a greater need for high quality education to produce technically skilled and creative man-power in India.- Development of High Strength Filament Wound Composite Pressure Vessel with Variable Thickness
Abstract Views :175 |
PDF Views:0
Authors
Affiliations
1 Dept. of Mechanical Engg., M V S R Engg. College, Hyderabad, IN
2 Defense Research & Development Organization, Hyderabad, IN
3 St. Peter’s College of Engineering, Hyderabad, IN
4 AICTE, New Delhi, IN
1 Dept. of Mechanical Engg., M V S R Engg. College, Hyderabad, IN
2 Defense Research & Development Organization, Hyderabad, IN
3 St. Peter’s College of Engineering, Hyderabad, IN
4 AICTE, New Delhi, IN