Refine your search
Collections
Journals
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
Kulkarni, V. V.
- Influence of Agricultural Wastes on Quality of Vermicompost
Abstract Views :396 |
PDF Views:0
Authors
Affiliations
1 Department of Soil Science and Agricultural Chemistry, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani (M.S.), IN
1 Department of Soil Science and Agricultural Chemistry, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani (M.S.), IN
Source
An Asian Journal of Soil Science, Vol 10, No 1 (2015), Pagination: 114-118Abstract
The experiment was carried out during 2004-2005 at Radiotracer lab of Department of Soil Science and Agricultural Chemistry, Marathwada Agriculture University, Parbhani with seven treatments and five replications, laid out in design Randomized Block Design (RBD). The nutrient status such as total nitrogen, organic carbon,total phosphorus and potassium were recorded at various stages viz., 30, 60 and 90 days after completion of vermicompost. The total nitrogen content was recorded from 0.51 to 1.84 per cent. There was continuous increase in nitrogen content. Glyricidia found to be superior over other treatments with value 1.84 per cent followed by vegetable waste 1.69 per cent and parthenium 1.41 per cent .Garden waste recorded lowest value of total nitrogen 0.51 per cent. The phosphorus showed similar trend of increased value of phosphorus compared to their initials. Significantly superior value was observed in glyricidia 0.82per cent followed by vegetable waste 0.73 per cent and parthenium 0.71per cent. The lowest phosphorus was recorded in garden waste 0.21 per cent. The values of potassium partanis slightly greater than unity, during maturation period of vermicompost.The lowest value was observed in garden waste 0.45 per cent which was increased by 0.15 per cent over initial. Also glyricidia found increased value of potassium 1.18 per cent over its initial. Vegetable market waste recorded highest K content 1.22 per cent followed by parthenium 1.13 per cent. Significant variation in organic carbon content was found during vermicompost preparation which ranged from highest value of organic carbon 26.59 per cent in parthenium to the lowest value of glyricidia 19.02 per cent. Other treatments lies in between them with minor differences in organic carbon content. As compared to orginal C:N ratio, wheat straw recorded maximum drop from 73.14 to 23.20. All treatments showed narrowed C:N ratio i.e., less than 25 at the end of maturation period. E4:E6 ratio measured during different growth stages of vermicompost were tending towards unity. The highest value was recorded for glyricidia 1.14 followed by vegetable waste 1.09, parthenium 0.78, sugarcane trash 0.71, wheat straw 0.68 and sunflower husk 0.47. The nutritive value of agricultural waste was increased in vermicompost.Keywords
Vermicompost, Earthworms, Agricultural Waste.- Experimental Investigation and Analysis of Relationship between Surface Roughness and Cutting Force during MQL Turning of AISI 4340 with Nano Fluid
Abstract Views :186 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, Bharati Vidyapeeth’s College of Engineering, Kolhapur, Maharashtra, IN
2 Department of Mechanical Engineering, Sanjay Ghodawat Group of Institution, Kolhapur, Maharashtra, IN
1 Department of Mechanical Engineering, Bharati Vidyapeeth’s College of Engineering, Kolhapur, Maharashtra, IN
2 Department of Mechanical Engineering, Sanjay Ghodawat Group of Institution, Kolhapur, Maharashtra, IN
Source
Manufacturing Technology Today, Vol 16, No 2 (2017), Pagination: 3-10Abstract
The objective of this research work is focused on to establish the relationship between surface and cutting force under Minimum Quantity Lubrication using nano fluid in turning of AISI 4340. A study of effect of cutting parameters in turning of AISI 4340 under MQL condition with nano fluid on the cutting force generated and machined surface roughness is carried out. In the experiment conducted, five values of feed rate, three values of depth of cut, two values of cutting speed and tool nose radius respectively, are used. The test pieces were turned on a CNC lathe machine under MQL mode using nano fluid with different levels of cutting parameters by using full factorial design of experiment orthogonal array. From result analysis, it was found that, feed rate played a major role in producing lower surface roughness followed by depth of cut whereas cutting speed has least significance in producing lower surface roughness under MQL using nano coolant. It was observed that at constant depth of cut and cutting speed for tool nose radius 0.8 mm and 0.4 mm as feed increases, surface roughness and cutting force values increases. From Least square technique the curve fitting equation (power equation) between surface roughness and cutting force is obtained. Also it is found that, agreements between surface roughness and calculated cutting force is excellent (99%) and confidence interval for co-relation coefficient r1, r2, r3, r4 is significant. So from the analysis of result the relationship between surface roughness and cutting force is established.Keywords
MQL, Nano Fluid, Confidence Interval, Cutting Force, Surface Roughness.References
- Narayana Rao, S; Dr. Satyanarayana, B; Dr. Venkatasubbaiah, K: Experimental Estimation of Tool Wear and Cutting Temperatures in MQL using Cutting Fluids with CNT Inclusion, 'International Journal of Industrial Engineering Science and Technology', ISSN: 0975-5462, vol. 3, no. 4, Apr 2011.
- Ashok Kumar Sahoo; Bidyadhar Sahoo: Experimental Investigation on Machinability Aspects in Finish Hard Turning of AISI 4340 Steel using Uncoated and Multilayer Coated Carbide Inserts, 'Measurement', vol. 45, no. 8, 2012, 2153-2165.
- Hasib, Md. Abdul; Al-farukh, Abdudish; Ahmed, Naseem: Mist application of cutting fluid, 'International Journal of Mechanical and Mechatronics Engineering IJMME-IJENS, vol. 10, no. 4, 10-14.
- Rakurty, CS; Varela, PI; Balaji, AK: Effects of Targeted Minimum Quantity Fluid Application on Surface Integrity, 14thCIRP Conference On Modeling of Machining Operations, 'Procedia CIRP', vol. 8, 2013, 462-468.
- Stephenson, DA; Skerlos, SJ; King, AS, Supekar, SD: Rough Turning Inconel 750 With Supercritical Co2- Based Minimum Quantity lubrication, 'Journal of Material Processing Technology', 2014, 673-680.
- Tasdelen, B; Thordenberg, H; Olofsson, D: An Experimental Investigation on Contact Length During MQL Machining, 'Journal of Material Processing Technology', vol. 203, no. 1-3, 2008, 221-231.
- Prabhu, S; Vinayagam, BK: Fractal Dimensional Surface Analysis of AISI D2 Tool Steel Material with Nano fluids in Grinding Process Using Atomic Force Microscopy, 'Journal of the Brazilian Society of Mechanical Sciences and Engineering', vol. 33, no. 4, 2011.
- Shen Bin: Minimum Quantity Lubrication Grinding Using Nano fluids, A Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy (Mechanical Engineering) in the University of Michigan, 2008.
- Lohar, DV; Nanavte, CR:Performance Evaluation of Minimum Quantity Lubrication (MQL) Using CBN Tool during Hard Turning of AISI 4340 and its Comparison with Dry and Wet Turning, 'International Journal of Industrial Engineering and Management Science', vol. 3, no. 3, 2013.
- Grewal, BS: Numerical Methods, Khanna Publisher, 2005, 106-109.
- Johnsen, Richard A; Gupta, CB: Probability and Statistics for Engineers, Pearson Education, 2005, 326-365
- Experimental Investigation and Analysis of Effect of Process Parameters on Surface Roughness of AISI 4340 during MQL Turning with Nano Fluid
Abstract Views :180 |
PDF Views:2
Authors
Affiliations
1 Department of Mechanical Engineering, Bharati Vidyapeeth’s College of Engineering, Kolhapur, Maharashtra, IN
2 Department of Mechanical Engineering, Sanjay Ghodawat Group of Institution, Kolhapur, Maharashtra, IN
1 Department of Mechanical Engineering, Bharati Vidyapeeth’s College of Engineering, Kolhapur, Maharashtra, IN
2 Department of Mechanical Engineering, Sanjay Ghodawat Group of Institution, Kolhapur, Maharashtra, IN
Source
Manufacturing Technology Today, Vol 16, No 7 (2017), Pagination: 11-20Abstract
The selection of cooling system and effective optimization of machining cutting parameters affects cost and production time of quality of machined work piece material. This research work represents an investigation on response parameters such as surface roughness and metal removal rate during MQL turning of AISI 4340 with nano fluid along with comparative analysis of different cooling systems. Three values of feed rate and depth of cut respectively were chosen to study the effect on surface roughness. As per Taguchi design L9 orthogonal array design matrix has been selected for conducting of experiments. The optimal conditions are obtained from Grey Relational Analysis (GRA) as Feed (0.04 mm/rev.) and Depth of cut (1.5 mm). The Signal to Noise ratio plot for GRA shows similar optimum condition therefore the results achieved from ANOVA are closely matching to the results of GRA. Improvement in grey relational grade is near about 1.24%. From the comparative result analysis, it was observed that Minimum Quantity Lubrication (MQL1) with nano fluid (MWCNT) showed lowest surface roughness compared to MQL2, dry and flood condition. Also it is found that the percentage error is below ±5%. For MQL1 at optimum condition (Feed rate 0.04 mm/rev. and Depth of cut 1.5 mm) the obtained surface roughness (Ra = 1.01μm). The findings of this study show that MQL with nano fluid can substitute the flood lubrication for better surface finish and performance characteristics can be improved effectively through this approach.Keywords
MQL, Nano Fluid, GRA, Surface Roughness, Metal Removal Rate.References
- Narana Rao S., Satyanarayana B. S., (2011), Experimental Estimation of Tool Wear and Cutting Temperatures in MQL using Cutting Fluids with CNT Inclusion, International Journal of Industrial Engineering Science and Technology, ISSN:0975-5462.
- Sahoo Ashok Kumar, Sahoo Bidyadhar, (2012) Experimental Investigation on Machinability Aspects in Finish Hard Turning of AISI 4340 Steel using Uncoated and Multilayer Coated Carbide Inserts, Measurement 45, pp2153-2165.
- Young Kug Hwang and Choon Man Lee, (2010), Surface roughness and cutting force prediction in MQL and wet turning process of AISI 1045 using design of experiments, Journal of Mechanical Science and Technology 24(8), 1669-1677.
- Suhil Adheil H., Ismail N., (2010), Optimization of Cutting Parameters of Turning Operations by using Geometric Programming, American J. of Engineering and Applied sciences, 3(1) pp102-108.
- Dhar N. R., Islam S. and Kamruzzaman M., (2007), Effect of Minimum Quantity Lubrication(MQL) on Tool Wear, Surface Roughness and Dimensional Deviation in Turning AISI-4340 Steel, G. U. Journal of Science 20(2), pp23-32.
- Lohar D. V., Nanavte C. R., (2013), Performance Evaluation of Minimum Quantity Lubrication (MQL) Using CBN Tool during Hard Turning of AISI 4340 and its Comparison with Dry and Wet Turning, International Journal of Industrial Engineering and Management Science, Vol. 3, No. 3.
- Tasdelen B., Thordenberg H., Olofsson D., (2008), An Experimental Investigation on Contact Length During MQL Machining, Journal of Material Processing Technology, pp221-231.
- Shen Bin, (2008), Minimum Quantity Lubrication Grinding Using Nano fluids, A Dissertation Submitted in Partial Fulfilment of the Requirements for the Degree of Doctor of Philosophy (Mechanical Engineering) in the University of Michigan.
- Prabhu S., Vinayagam B. K., (2011), Fractal Dimensional Surface Analysis of AISI D2 Tool Steel Material with Nano fluids in Grinding Process Using Atomic Force Microscopy, 466 / Vol. XXXIII, No. 4.
- Berger P. D. and R. E. Maurer, (2001), Experimental Design with Applications in Management, Engineering and the Sciences, 1st edition, Duxbury Press, USA, ISBN:10: 0534358225, pp:496
- Patole P. B. and Kulkarni V. V., (2017), Experimental Investigation and Analysis of Relationship between Surface Roughness and Cutting Force during MQL Turning of AISI 4340 with Nano Fluid, Manufacturing Technology Today (CMTI), Vol. 16 No.1, pp 1-9.
- Patole P. B. and Kulkarni V.V., (2017), Experimental investigation and optimization of cutting parameters with multi response characteristics in MQL turning of AISI 4340 using nano fluid, Cogent Engineering (Taylor and Francis group), 4: 1303956.
- Patole P. B. and Kulkarni V.V., (2016), Optimization of Process Parameters based on Surface Roughness and Cutting Force in MQL Turning of AISI 4340 using Nano Fluid, Materials Today Procedings: PMME 2016.
- Attanasio Gelfi A., Giardini C. and Remino C., (2006) Minimal quantity lubrication in turning: effect on tool wear, International Journal on the Science and Technology of Friction, Lubrication and Wear, 260, pp333-338.
- Kumar and Sing, (2016), Multi response optimization in wire electrical discharge machining of Inconel x- 750 using Taguchi technique and grey relational analysis, International Journal of Cogent Engineering, 3: 1266123
- Chang C.L., Tsai C. H., Chen L. Applying grey relational analysis to the decathlon evaluation model, International journal of Computer Internet Manage 2003;11(3):54-62.
- Ulas Caydas, Ahmet Hascalik., (2008), Use of the Grey Relational Analysis to determine optimum laser cutting parameters with multi-performance characteristics, Elsevier, Optics and Laser Technology 40 pp 987-994.
- Sing Dilbag and Venkteshewara Rao P. (2007), A surface roughness prediction model for hard turning process, International Journal of Advanced Manufacturing Technology, 32: 1115-1124.
- Fung C. P., Manufacturing process optimization for wear property of fiber–reinforced polbutylene terephthalate composites with grey relation analysis. Wear 254: 298-306.
- Pujari Shrinivasa Rao, Koona Ramji and Beela Satyanarayna, (2010), Prediction of Material removal rate for Aluminium BIS-24345 alloyin wire cut EDM, International Journal of Engineering Science and Technology, Vol. 2(12), 7729-7739.
- Nalbant M. H., Gokkaya and G. Sur, (2007), Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning, Materials and Design, 28, pp. 1379-1385.
- Patel P., Modi. B. S., Shet S and Patel. T. (2015), Experimental Investigation, Modelling and Comparison of kerf width in laser cutting of GFRP. Bonfring International Journal of Industrial Engineering and Management and Science, 5 (2), pp. 55-62.
- Douglas C. Montgomery, (2001), Design and Analysis of Experiments, John Wiley and Sons, pp1-17.
- P. J. (1996), Taguchi Techniques for Quality Engineering, New York, McGraw Hill.
- An Interdisciplinary Project Based Learning, A Case Study
Abstract Views :309 |
PDF Views:2
Authors
Affiliations
1 Department of Electronics & Telecomm. Engg, Sanjay Ghodawat Institutes, Atigre, Kolhapur-416118, IN
2 Department of Mechanical Engineering, Sanjay Ghodawat Institutes, Atigre, Kolhapur-416118, IN
3 Department of Mechanical Engg, Sanjay Ghodawat Institutes, Atigre, Kolhapur-416118, IN
1 Department of Electronics & Telecomm. Engg, Sanjay Ghodawat Institutes, Atigre, Kolhapur-416118, IN
2 Department of Mechanical Engineering, Sanjay Ghodawat Institutes, Atigre, Kolhapur-416118, IN
3 Department of Mechanical Engg, Sanjay Ghodawat Institutes, Atigre, Kolhapur-416118, IN
Source
Journal of Engineering Education Transformations, Vol 31, No 1 (2017), Pagination: 19-23Abstract
Outcome based learning is widely being practiced in India since it has become signatory of the Washington accord since June 2013. This has promoted different pedagogic approaches of teaching -learning especially in engineering education. Project based learning is one of them. Engineering students require the opportunity to apply their knowledge to design solutions through project-based learning rather than conventional theoretical rote learning methods that do not provide a real outcome for evaluation. This paper presents the outcome of the Project based learning activity carried out with interdisciplinary engineering students. Students groups were formed and they were given tasks to solve real life problems by preparing small working models that are based on curriculum and are possible to realize using components and tools available in laboratories.Keywords
Outcome Based Education, Engineering Projects, Engineering Education, Project Based Learning.References
- Xiangyun Du et al. (eds.) (2009), Research on PBL Practice in Engineering Education, 9–21, Sense Publishers.
- De Vere, I. (2009), Developing creative engineers: a design approach to engineering education.
- Hung., J.D., Liu.R,(2008), ProblemBasedLearning.
- Julie E.Mills, D.F.T.(2003), Engineering Education – Is Problem Based Or Project Based Learning The Answer?, The Australasian Association for Engineering Education Inc (AAEE, 2003), ISSN 1324-5821
- Siva Chandrasekaran et al (2012), Learning through Projects in Engineering Education, SEFI 40thAnnual Conference,Thessaloniki,Greece.
- Jorgensen, D.O. and Howard, R.P, 2000, “Project based learning – A Professional engineering practitioner learning paradigm”. 2nd Asia–Pacific Conference on Problem Based Learning. PBL: Educational Innovation across disciplines. Themasek Polythechic Singapore, Thailand. http://www.tp.edu.sg/pblconferenc
- Kjersdam, F. and Enemark, S., 1994, “The Aalborg Experiment: project innovation in university education”.AalborgUniversity Press,Denmark.
- Woods, D.R., 1.996, “Problem-based learning: helping your students gain the most from PBL” 3rd edition, Ed.Waterdown,Ontario, Canada.
- FEA Modeling And Prediction Of Surface Roughness Of Aluminum Alloy (LM4) During Turning Process
Abstract Views :246 |
PDF Views:0
Authors
Affiliations
1 Bharati Vidyapeeth’s College of Engineering, Kolhapur, Maharashtra, IN
2 SGI Atigre, Kolhapur, Maharashtra, IN
1 Bharati Vidyapeeth’s College of Engineering, Kolhapur, Maharashtra, IN
2 SGI Atigre, Kolhapur, Maharashtra, IN