Publication for Volume 7 Issue 11 is in process..
This paper presents the parametric optimization for hardness of tungsten inert gas welding on copper reinforced mild steel composite joint. The process variables are current, voltage and gas flow rate. The investigation is based on Response surface method using the Box-behnhen design to determine the influence of parameters with the optimal condition on Hardness response. Analysis of variance indicated that the proposed quadratic model successfully interpreted the experimental data with adequacy measure values of R2= O.9959 , R-adjusted= 0.9806 and Adequate Precision =47.131. The predicted hardness from RSM under the optimal conditions was 70 BHN. A confirmation test was conducted to verify the validity of the model, resulting in a hardness of 68 BHN
- Page(s): 01-06
- Date of Publication: 14 November 2018
- Kennedy C. OwuamaDepartment of Mechanical Engineering, Chukwuemeka Odumegwu Ojukwu University Uli, Anambra, Nigeria.
- Emifoniye ElvisDepartment of Mechanical Engineering, Delta State Polytechnic Ogwash-uku, Deita, Nigeria
References
[1]. P.G Mikell, Fundamentals of Modern Manufactureing, Materials, Processing, 4th Edition, John Wiley and Sons [2]. J. Pasupathy, V. Ravisanker. Parametric Optimization of TIG Welding Parameters Using Taguchi method for Dissimilar Joint (Low Carbon Steel With Aa1050). Intenational Journal of Scientific and Engineering Research, Vol. 4 issue 11, Nov.-2013 [3]. K. Gawdzinnska 2013. Quality features of Metal Matrix Composite Casting. Archives of Metallurgy and Material, Vol. 58. Pp 659-662. [4]. K. Suryanarayanan, FR. Praveen, S Raghutrix Compranam( 2013). Silicon Carbide Reinforced Aluminuim Metal Metrix Composites for Aerospace Application. Vol. 2, issue 11 [5]. G.S Saijad, N. Mohsen, S. Mahmood, S.A Mehdi (2012). Gas Tungsten Arc Welding of CP Copper to 304 Stainless Steel Using Different Filler Materials. Transaction of Nonferrous Metal Society of China. VOl 22. Issue 12 pp. 2937-2942 [6]. K.W jacet, N. Krzyztof and K. Adam (2012) Properties of Copper based Composite Materials Reinforced with Alumina Particles and Fibres. Advance Circuit Systems, Automation and machanics [7]. S. Kumari, A. Kumar, P.R. Sengupta, P.K Dutta and R.B Mathur. (2014) Improving the Mechanical and Thermal Properties of Semi-Coke Based Carbon/ Coppper Using Carbon Nanotubes. Journal of Advanced material Letter, Vol. 5(5), pp 265-271 [8]. K.A Kenneth and U.O Benjamin (2016). Mechanical Properties, Wear and Corrosion Behaviour of Copper matrix Composite Rreinforced with Steel Machining Chips. Engineering Science and Technology, an International Journal, pp, 1593-1599 [9]. D.C Montgomery (1984) Design and Analysis Experiment, 2nd Edition, Marcel Dekker, New York. [10]. J. Segurola, E. Mitchele, A. McMahon. (1999). Design of Eutectic Photo Blends for UV/Curable Printing Inks and Coatings. Progress in Organic Coatings 37(1): 23-37 [11]. R. Arunachalam, G. Annadural, J. Environ. Sci Technol. 4,65 (2011) [12]. H. Azian (2104). Development of Welding Fumes Health Index (WFHI) for Welding Workplace’s Safety and Health Assessment.Iranian Journal of Public Health V. 43(8) [13]. S.F. Hazard, S.L.C. Ferreira, R.E. Bruns, G,D Matos, J.M Davis, G.C. Brando (2007).Box Behnken Design. An Alternative for the Optimization of Analytical Methods, Analytical Chimica Acta Vol. 597, Issue 2,pp179-186 [14]. V.S. Aigbodion, J.E Oghenevweta, G.B Nyior (2015) Mechanical Properties and Microstructure Analysis of Al-Si-Mg/Carbonized Maize Stalk Waste Particulate Composite. Journal of King Saud University Engineering Sciences.
Kennedy C. Owuama and Emifoniye Elvis "Parametric Optimization for Hardness of Tungsten Inert gas Welding on Copper Reinforced Mild Steel Composite" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 11, November 2018, pp.01-06 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue11/01-06.pdf
In engineering, Design, and Optimization forms are essential issues to set up economical designing frameworks. Contrasted with isotropic materials, it is important to manage more convoluted scientific model that address the material anisotropy for Fiber-Matrix composites. The plan procedure of composites for the exertion required or the advantage wanted must be orderly, which incorporates inventive ways to deal with integrate elective arrangements. In such manner, the primary objective of all such endeavour is important to reach limiting the exertion required or to expand the coveted advantage for improvement of Mechanical properties by substituting and Alternating Fiber, Matrix and their Orientation.
- Page(s): 07-10
- Date of Publication: 22 November 2018
- Prof A.G MominMechanical Department, L.D College of Engineering, Ahmedabad – 380015, Gujarat, India
- Dharmesh RavalMechanical Department, L.D College of Engineering, Ahmedabad – 380015, Gujarat, India
- Sachin HinguMechanical Department, L.D College of Engineering, Ahmedabad – 380015, Gujarat, India
- Jagat SankaliyaMechanical Department, L.D College of Engineering, Ahmedabad – 380015, Gujarat, India
- Dhruv VaniaMechanical Department, L.D College of Engineering, Ahmedabad – 380015, Gujarat, India
References
[1]. Fiber reinforced composites book by P.K Mallick. [2]. Studies on natural fiber particle reinforced composite material for conservation of natural resources by D. Chandramohan [3]. Analysis of mechanical properties of natural fiber composite beam by kalpa publication in engineering. [4]. Finite element analysis of composites materials for aerospace applications published by M Nuhaniza al 2010 iop conf. Ser. Matet. sci. eng 11012010. [5]. Experimental & finite element analysis of sisal fiber reinforced composite by lohitesh jaga Kumar, Praveen D. N R. Thara, Urfan G. [6]. Finite element Analysis of Coir /Banana Fiber Reinforced Composite material by M. Rajesh, T Srinag, P. phani Prasanthi. [7]. Finite element analysis of jute and banana fiber reinforced hybrid polymer matrix composite and optimization of design parameters using ANOVA technique by science direct. [8]. Composite materials – nptel.ac.in
Prof A.G Momin, Dharmesh Raval, Sachin Hingu, Jagat Sankaliya and Dhruv Vania "Finite Element Analysis of Fiber Reinforced Composite Material" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 11, November 2018, pp.07-10 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue11/07-10.pdf
In this study, a circuit design was realized in which the characteristics of the panels can be determined by determining the instantaneous values of+ the MPPs of four different solar panels. The design of the circuit was implemented in the Proteus circuit program. The maximum power point tracking (MPPT) algorithm was implemented using the PIC18f4520 microprocessor. The connection of each panel to the designed circuit was carried out using relays. Four different solar panels connected to designed circuit with using three relays. The MOSFET was used as a load for measuring current and power values of the panels. Thus, high power measurements were made with a MOSFET using as a load. It also covered little space in the designed circuit system. So instantaneous current, voltage and power values of four different solar panels measured with designed characteristic determining circuit.
- Page(s): 11-14
- Date of Publication: 22 November 2018
- Sinan KıvrakElectric-Electronic Engineering, Ankara Yıldırım Beyazıt University, Turkey
- Tolga ÖzerElectric-Electronic Engineering, Afyon Kocatepe University, Turkey
References
[1]. Leite, V., Chenlo, F., (2010) “An improved electronic circuit for tracing the IV characteristics of photovoltaic modules and strings,” in International Conference on Renewable Energiesand Power Quality (ICREPQ’12). [2]. Oğuz, Y., Karakan A., Uslu B., (2015). Comparison of Energy Generated on Different Solar Panels Energy Flow Control and Efficiency Analysis. International Journal of Electrical Energy, 3(NO:1 & NO:2), 37-42. [3]. Uslu B., Karakan A.,(2016). Theanalysis of performance the production of energy by using photovoltaic system by establishing the panel of sancell in different location to get in maximum energy. İnternational Journal of CurrentResarch, 8(1), 25217-25220. [4]. Uslu B., Karakan A.,(2016). The analysis of performance the production of energy by using photovoltaic system by establishing the panel of sancell in different location to get in maximum energy. İnternational Journal of CurrentResarch, 8(1), 25217-25220. [5]. Atia, Y., Zahran, M.,and Al-Hossain, A., (2010) “Solar Cell Curves Measurement Based on Lab-VIEW Microcontroller Interfacing,” in Proceedings of the 12th WSEAS International Conference on Automatic Control, Modelling and Simulation, Italy May, pp. 29-31. [6]. Dyk, V., Gxasheka, A.R., Meyer, E.L.(2005), “Monitoring Current–Voltage Characteristics and Energy Output of Silicon Photovoltaic Modules”, ELSEVIER, Renewable Energy 30, pp. 399–411. [7]. LeiteV., Batista, J.,Chenlo, F.,and Afonso, J. L. (2012), “Low-Cost Instrument for Tracing Current-Voltage Characteristics of Photovoltaic Modules”, International Conference on Renewable Energies and Power Quality (ICREPQ’12), Santiago de Compostela (Spain), 28th to 30th March. [8]. Hemza, A., Abdeslam, H.,Rachid, C., Pasquinelli, M., Barakel, D., (2015) “Tracingcurrent-voltagecurve of solar panel Based on LabVIEW Arduino Interfacing”, Bilişim Teknolojileri Journal, Vol: 8, No: 3 [9]. IEA-PVPS, (2010), “Trends in Photovoltaic Applications – Survey report of selected IEA countries between 1992 and 2009”, Report IEA-PVPS, [Online] Available: http:// www.iea-pvps.org/index.php?id=92. [10]. EPIA and Greenpeace, (2011), “Solar Generation 6 – Solar photovoltaic electricity empowering the world:, [Online]Available:http://www.epia.org/publications/epiapublications/solar-generation-6.html. [11]. MeyerE.L., and Van DykE.E., (2004) “Assessing the Reliability and Degradation of Photovoltaic Module Performance Parameters”, IEEE Transactions on Reliability, Vol. 53, No: 1, pp. 83–92. [12]. Garrigós, A., and Blanes, J., (2005), “Power MOSFET is Core of Regulated-DC Electronic Load”, EDN, pp. 92–93, March 17. [13]. Kuai, Y.,Yuvarajan, S.,(2006) “An Electronic Load for Testing Photovoltaic Panels”, ELSEVIER, Journal of Power Sources 154, pp. 308–313. [14]. Schoiswohl. J., (2017) “Linear Mode Operation and Safe Operating Diagram of Power MOSFETs”, Application Note [15]. IXTX90N25L2 Datasheet, LinearL2TM Power MOSFET Extended FBSOA, IXYS Corporation, 2016
Sinan Kıvrak, Tolga Özer "Solar Panels Characteristic Determining Circuit Design and Implementation" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 11, November 2018, pp.11-14 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue11/11-14.pdf
This aim of this study is to simulate a methanol-to-olefins (MTO) process plant that makes use of methanol as raw material for the production of ethylene. Nigeria has large gas reserve of methanol which makes MTO process viable in the country. Aspen HYSYS 7.1 was used in the modeling of the MTO process after which process variables were varied to optimize ethylene production. The major products of the MTO process were ethylene and propylene accompanied by other by-products like butene, di-methyl ether (DME) and C5+ fractions. The process was optimized at various temperature and pressure to determine the optimum condition for maximizing product yield. It was observed that low pressure of 50kpa and temperatures between the ranges of 350-600oC lead to anincrease in the production of ethylene.
- Page(s): 15-18
- Date of Publication: 22 November 2018
- Ipeghan J. OtarakuDepartment of Chemical Engineering, University of Port Harcourt, Port Harcourt, Nigeria
- Ishioma L. EgunDepartment of Chemical Engineering, University of Port Harcourt, Port Harcourt, Nigeria
- Queeneth NyebuchiDepartment of Chemical Engineering, University of Port Harcourt, Port Harcourt, Nigeria
References
[1]. Eric R., John S. Scale-up of Advanced Methanol to Olefins (MTO) and Olefins Cracking Process (OCP), AIChE Spring Meeting and Global Congress on Process Safety, March 14, 2011 [2]. Gao, W., Hu, Y., & Wu, X. (2013). Optimization of MTO Olefins Separation Process. Advanced Materials Research, 785-786, 1136-1140. [3]. Simon R. Bare (2007) :Methanol to Olefins (MTO): Development of a Commercial Catalytic Process Advanced Characterization, UOP LLC, Modern Methods in Heterogeneous Catalysis ResearchFHI Lecture November 30, 2007©2007 UOP LLC. [4]. Tian, P., Wei, Y., Ye, M., & Liu, Z. (2015). Methanol to Olefins (MTO): From Fundamentals to Commercialization. ACS Publications, 1922–1938. [5]. Schönfelder, H., Hindere, J., Werther, J., & Keil, F. (1994).Methanol to olefins process. Chem,Ing,Tech. [6]. Kaiser, S. W. (1985). Production of light olefins. Production of light olefins.
Ipeghan J. Otaraku, Ishioma L. Egun, Queeneth Nyebuchi "Optimization of Methanol to Ethylene Process in Nigeria using Aspen HYSYS" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 11, November 2018, pp.15-18 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue11/15-18.pdf
This paper is written on the bases of a conceptual framework on Continues Delivery (CD), Continuous Integration (CI), Electronic Businesses (EB), and revealing the secret behind the cloud as a good platform for DevOps deployment to bust cloud business efficiency in order to maximize profit while maintaining quality service delivery. The research paper is based on some intensive literature review on current trend of IT-cloud to successfully portray the power of the cloud and DevOps as inseparable tools meant for each other to achieve the goal of all Electronic Businesses (EB). The success of this work is that it has clearly indicated the power of Cloud and DevOps been limited in the Electronic-Businesses point of view over the years. Finally this work presented a model of Cloud-DevOps architecture as the future that holds secret of all kinds of businesses that will take place in the internet regardless of their nature or sizes.
- Page(s): 19-23
- Date of Publication: 30 November 2018
- Desmond Bala BisanduDepartment of Computer Science, University of Jos, Nigeria
References
[1]. F. Ahmadighohandizi and K. Systä, “ICDO: Integrated cloud-based development tool for DevOps.,” in SPLST, 2015, pp. 76–90. [2]. C. Technologies, “devops-winning-in-application-economy,” 2014. [3]. I. K. Jalozie, H. J. Wen, and H. L. Huang, “A framework for selecting e-commerce business Models,” Retrieved Febr., vol. 10, p. 2012, 2006. [4]. D. Poshyvanyk, Y.-G. Gueheneuc, A. Marcus, G. Antoniol, and V. Rajlich, “Feature location using probabilistic ranking of methods based on execution scenarios and information retrieval,” IEEE Trans. Softw. Eng., vol. 33, no. 6, 2007. [5]. T. Lehtonen, S. Suonsyrja, T. Kilamo, and T. Mikkonen, “Defning Metrics for Continuous Delivery and Deployment Pipeline,” 2015. [6]. M. Stillwell and J. G. Coutinho, “A DevOps approach to integration of software components in an EU research project,” in Proceedings of the 1st International Workshop on Quality-Aware DevOps, 2015, pp. 1–6. [7]. J. Sussna, “Cloud and DevOps: A Marriage Made in Heaven,” 2013. [Online]. Available: https://www.infoq.com/articles/cloud-and-devops. [Accessed: 22-Mar-2017]. [8]. W. Ambler and M. Lines, “Scaling Agile Software Development,” 2014. [9]. atos,“atos-devops-building-service-oriented-organization-white-paper,” 2016. [Online]. Available: https://atos.net/wp-content/uploads/2016/11/atos-devops-building-service- oriented-organization-white-paper.pdf. [Accessed: 17-Mar-2017]. [10]. N. J. L. Brown, A. D. Sokal, and H. L. Friedman, “The complex dynamics of wishful thinking: The critical positivity ratio.,” American Psychologist, vol. 68, no. 9, pp. 801–813, 2013. [11]. Y. Ghanam, J. Ferreira, and F. Maurer, “Emerging Issues & Challenges in Cloud Computing—A Hybrid Approach,” Journal of Software Engineering and Applications, vol. 05, no. 11, pp. 923–937, 2012. [12]. J. Lumsden, Ed., Handbook of research on user interface design and evaluation for mobile technology. Hershey, Pa.: Information Science Reference, 2008. [13]. P. Mell and T. Grance, “The NIST definition of cloud computing,” National Institute of Standards and Technology, vol. 53, no. 6, p. 50, 2009.
Desmond Bala Bisandu, "Cloud Devops Future of E-Business" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 11, November 2018, pp.19-23 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue11/19-23.pdf
soil reinforcement is one of the ground improvement techniques to enhance the engineering properties of soil. This concept was widely used in the geotechnical field. In the present investigation geogrid-PVC pipe was used as reinforcement material to improve the load settlement characteristics of the square footing. In order to evaluate the effect of loading magnitude and frequency of loading on the performance of footing resting on reinforced sand beds, experiments are conducted with different loading magnitude and loading frequency. Experiment results clearly shows that loading parameters affect the performance of square footing resting on reinforced sand beds. The results of experiments are analyzed in terms of cyclic resistance ratio and settlement ratio.
- Page(s): 24-29
- Date of Publication: 01 December 2018
- H.C.Muddaraju Assistant Professor, Civil Engineering Department, UVCE, Bangalore, Karnataka, India
- Megha B Kaloji Post Graduate Student, Civil Engineering Department, UVCE, Bangalore, Karnataka, India
References
[1]. AminatonMarto, Mohsen Oghabi, Amin Eisazadeh (2013).“The Effect of Geogrid Reinforcement on Bearing Capacity Properties of Soil Under Static Load”.EJGE. Vol. 18. [2]. Mansour Mosallanezhad , Nader Hataf , ArsalanGhahramani. “Experimental Study of Bearing Capacity of Granular Soils, Reinforced with Innovative Grid-Anchor System”.GeotechGeolEng (2008) 26:299–312. [3]. M. Mosallanezhad, N. Hataf and A. Ghahramani. (2010).“Three dimensional bearing capacity analysis of granular soils, reinforced with innovative grid-anchor system”. Iranian Journal of Science & Technology, Vol. 34, No. B4, pp 419-431. [4]. Mostafa EI Sawwaf, Ashraf Kamal Nazir (2010). “Behavior Of Repeatedly Loaded Rectangular Footings Resting on Reinforced Sand”. Alexandria Engineering Journal (2010) 49, 349-356. [5]. Mostafa EI Sawwaf, Ashraf K Nazir .“Cyclic Settlement Behaviour of Strip Footing Resting on reinforced Layered sand Slope”. Journal of Advanced Research (2012) 3, 315-324. [6]. P.K. Jain, Rakesh Kumar and Ravi Gupta. “Behavior of circular footing resting on two dimensionally and three dimensionally skirted foundations in medium dense sand”. Int. J. Adv. Engg. Res. Studies/III/IV/July-Sept.,2014/45-47. [7]. Ravi Gupta, Rakesh Kumar, P.K. Jain. “Behaviour of circular footing resting on three dimensional confined sand”.Int J AdvEngg Tech/Vol. V/Issue II/April-June,2014/11-13. [8]. Sareesh Chandrawanshi, Rakesh Kumar, Dr.Suneet Kaur, Dr. P.K. Jain. “Effect of skirt on pressure settlement behaviour of model circular”. Int J AdvEngg Tech/Vol. V/Issue II/April-June,2014/01-05. [9]. Shine EC, Kim DH, Das BM.“Geogrid-Reinforced Railroad Bed Settlement due to Cyclic Load”. Geotech Geol Eng 2002; 20:261-71. [10]. Sudhakar, A.R. and Sandeep M. N. (2016). “Incremental Cyclic Loading on Ring and Circular Footing Resting on Geocell Reinforced Sandy Soil ”. International Journal of Advance Research Trends in Engineering and Technology, Vol 3, Special Issue 23, pp.2394-3777.
H.C.Muddaraju, Mashyala Sharanamma "Study on the Effect of Loading Parameters on the Performance of Footing Resting on Reinforced Sand Beds " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 11, November 2018, pp.24-29 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue11/24-29.pdf
Selection of a conventional Digital domain Image Processing (DIP) for real time applications depends upon its processing speed (frames per second (FPS)). At present, the Digital domain Fourier Transformer (DFT) and Inverse Digital domain Fourier Transformer (IDFT) in DIP consume much time in signal/image processing which is a constraint so that DIP is found to be widely applicable for the processing of various still images. The salient feature of Optical Fourier Transformer (OFT) in Optical Image Processor (OIP) is that it produces spectra of given image within few nanoseconds, whereas DFT in DIP produces the same in the order of milliseconds. Hence, the entire processing speed of OIP is similar to light propagation speed. In this paper, the analogy between Fourier Transforms in DIP and OIP also the replacement possibility of DFT by OFT in DIP are analyzed. It is found that any DFT in DIP may be replaced by OFT. This replacement would give an impetus to develop a new Hybrid Image Processing (HIP) and more suitable for real time applications.
- Page(s): 30-32
- Date of Publication: 02 December 2018
- Dr. J. VeerappanProfessor, Department of Electronics and Communication Engineering, Vel Tech High Tech Dr.Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai, Tamilnadu, India
- Dr. R. GanesanProfessor, Department of Electronics and Instrumentation Engineering, Saveetha Engineering College, Chennai, Tamilnadu, India
References
[1]. Ichiro Tamitani, Member, IEEE, Hidenobu Harasaki, Member, IEEE, Takao Nishitani,Member, IEEE, Yukio Endo, Member, IEEE, Masakazu Yamashina, Member, IEEE And Tadayoshi Enomoto, Member, IEEE AReal-Time Video Signal Processor Suitable for Motion Picture Coding Applications IEEE Transactions on Circuits and Systems, 36 (2016), 1259-1266 [2]. R. R. Gulathi Television pictures-chapter2 in Modern Television Practice, 2nd edition, (2014), pp10-22 (New age international (p) Ltd Publishers) [3]. Richard L. Marks, Stephen M. Rock, and Michael J. Lee 1995 Real-Time Video Mosaicking of the Ocean Floor IEEE Journal Of Oceanic Engineering, 20(3) 229-241 [4]. David G. Zawada, Image Processing of under water multispectral Imagery IEEE Journal of Oceanic Engineering 28 (2013), 583-594 [5]. Brandley G.Boone ‘Fourier transform and imaging properties of optical systems’ and ‘Signal processing analogies for optics’-chapter6 in Signal Processing using Optics, Oxford University Press, 2017, pp137-162. [6]. W. G. Joseph, Spatial filtering and optical information processing-chapter 7 in Introduction to Fourier Optics, 2017, pp141-198. [7]. M.Francon Elements of optical processing of information-chapter10 in Optical Image Formation and Processing, Academic Press, INC, London, 2016, pp145-165. [8]. R.C.Gonzalez and R.E.Woods, Image enhancement in the frequency domain-chapter4 in Digital Image Processing, 2014, pp148-251 (Pearson Education, INC). [9]. R. Sai Santosh Kumar, Edge-Enhancement Technique in Optical Fourier Processing: Applications to Medical Images at Dept of Physics, Sai Sathya Sai Institute of Higher Learning (Deemed University) Prasanthi Nilayam, Andhra Pradesh, 2013. [10]. T. Chung and P.P.Banerjee, Single and double lens Image processing systems chapter 5 in Contemporary Optical Image Processing with MATLAB, 2011, pp133-169. [11]. W.Lauterboru, T. Kurz and M.Wiesenfeldt, Fourier Optics-chapter 9 in Coherent Optics fundamental and applications, McGraw-Hill,2016, pp147-178
Dr. J. Veerappan, Dr. R. Ganesan "Analysis of Analogy between Optical and Digital Domain 2D Fourier Transforms for Real Time Image Processing" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 11, November 2018, pp.30-32 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue11/30-32.pdf
The ever growing mechanization and motorization of the earth has led to anabrupt rise for the demand of petroleum products. Henceforth, it is essential to search for substitute fuels, which can be indigenized from materials existing within the nation.This scrutinizes biodiesel production using crude neem oil having high acidic value, as a feedstock. The results of some operating variables were determined, and its combustion efficiency was assessed in an internal combustion engine. Due to its high acidic value, the neem oil was treated via two step acid – base transesterification process.
- Page(s): 33-35
- Date of Publication: 06 December 2018
- Prakash BhosaleMechanical Engineering-Students Mechanical Engineering Department, N. B. Navale Sinhgad College of Engineering, Kegaon, Solpaur-413 007 Solapur, Maharashtra, India
- Harshal AwatadeMechanical Engineering-Students Mechanical Engineering Department, N. B. Navale Sinhgad College of Engineering, Kegaon, Solpaur-413 007 Solapur, Maharashtra, India
- Gangadhar ChapalgeMechanical Engineering-Students Mechanical Engineering Department, N. B. Navale Sinhgad College of Engineering, Kegaon, Solpaur-413 007 Solapur, Maharashtra, India
- Sandeep BhosaleMechanical Engineering-Students Mechanical Engineering Department, N. B. Navale Sinhgad College of Engineering, Kegaon, Solpaur-413 007 Solapur, Maharashtra, India
References
[1]. Arenicola, E. F, Betake, E. Ikhuomoregbe, D.I.O., Ojumu T.V. (2012) Production of biodiesel from crude neem oil feedstock and its emissions from internal combustion engines. “African Journal of Biotechnology”, 11(22): 6178-6186. [2]. Kannahi, P.M., Arulmozhi, R. (2013) Production of biodiesel from edible and non-edible oils using Rhizopus oryzae and Aspergillus niger. “Asian Journalof Plant Science and Research”, 3(5): 60-64. [3]. Ogunwole, O.A. (2012) Production of Biodieselfrom Jatropha Oil (Curcas Oil), “Research Journal ofChemical Sciences”, 2(11), 30-33. [4]. Gude,V.G., Patil, P. D., Grant, G. E., Deng,S.(2012) Sustainable Biodiesel Production, Secondworld Sustainable forum,1-14, www.wsforum.org. [5]. Sarıbıyık,O.Y., Özcan, M., Serin, H., Serin, S., Aydın, K. (2012) Biodiesel Production from Ricinus Communis Oil and Its Blends with Soybean Biodiesel, “Journal of Mechanical Engineering”, 56, 811-816. [6]. Demirbas, A. (2008) Comparison of transesterification methods for production of biodiesel from vegetable oils and fats. “Energy Conversion and Management”, 49:125–130.
Prakash Bhosale, Harshal Awatade, Gangadhar Chapalge, Sandeep Bhosale "Production of Biodiesel from Neem Seed Oil" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 11, November 2018, pp.33-35 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue11/33-35.pdf
The Search engine is the most important applications on today’s Internet. The inference and analysis of user search goals for a query can be very useful in improving search engine relevance and user experience. A novel approach is used to infer the user search goals by analyzing the user click through logs. For broad topic and ambiguous query, different users have the different search goals when they submit the same query. So we first propose a framework to find out different user search goals for a query by clustering the proposed feedback sessions. Feedback sessions are constructed from user click-through data and can efficiently reflect the information needs of users. Then a novel approach is used to generate the pseudo documents by considering the feedback sessions. The pseudo-documents are clustered using the bisecting k-means algorithm to reorganize the search results. Finally we use a new method called “Classified Average Precision (CAP)” is proposed in future to evaluate the performance of inferring user search goals.
- Page(s): 36-40
- Date of Publication: 06 December 2018
- Saranya Devi. S Assistant Professor, Department of CSE, Hindusthan Institute of Technology, Coimbatore, Tamil Nadu, India
- Velusamy. A Assistant Professor, Department of CSE, Hindusthan Institute of Technology, Coimbatore, Tamil Nadu, India
- Nagajothi. S Assistant Professor, Department of CSE, Hindusthan Institute of Technology, Coimbatore, Tamil Nadu, India
References
[1]. U.Lee, Z.Liu and J.Cho (2005) , ‘Automatic Identification of User Goals in Web Search’, In Proc. 14th Int ’l Conference on World Wide Web (WWW ’05), Vol. 51, No. 3, pp. 391-400. [2]. R..Jones, B.Rey, O.Madani and W.Greiner (2006),‘Generating Query Substitutions’, In Proc. 15th Int ’l Conference on World Wide Web (WWW ’06), Vol. 62, No. 6, pp. 387-396. [3]. Shen, J. Sun, Q. Yang, and Z. Chen(2006), “Building Bridges for Web Query Classification,”Proc. 29th Ann. Int’l ACM SIGIR Conf.Research and Development in Information Retrieval (SIGIR ’06),pp. 131-138. [4]. X.Wang and C. X Zhai(2007), ‘Learn from Web Search Logs to Organize Search Results’, In Proc. of 30th Annual Int ’l ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’07), Vol. 71, No. 5, pp. 87-94. [5]. B. Poblete and B.-Y Ricardo(2008), “Query-Sets: Using Implicit Feedback and Query Patterns to Organize Web Documents,”Proc. 17th Int’l Conf. World Wide Web (WWW ’08),pp. 41-50. [6]. D.Beeferman and A.Berger(2000), ‘Agglomerative Clustering of a Search Engine Query Log’, In Proc. 6th ACM SIGKDD Int ’l Conference on Knowledge Discovery and Data Mining (SIGKDD ’00), Vol. 27, No. 2, pp. 407-416. [7]. H. Chen and S. Dumais(2000), ‘Bringing Order to the Web: Automatically Categorizing Search Results’, In Proc. SIGCHI Conference on Human Factors in Computing Systems (SIGCHI ’00), Vol. 17, No. 3, pp. 145-152. [8]. H.Cao, D.Jiang, J.Pei, Q.He, Z.Liao, E.Chen, and H.Li(2008) , ’Context-Aware Query Suggestion by Mining Click-Through’, In Proc. 14th ACM SIGKDD Int ’l Conference on Knowledge Discovery and Data Mining (SIGKDD ’08), Vol. 35, No. 2, pp. 875-883. [9]. X.Li, Y. Y Wang and A.Acero (2008), ‘Learning Query Intent from Regularized Click Graphs’, In Proc. 31th Annual Int ’l ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’08), Vol. 43, No. 5, pp. 339-346. [10]. Zheng Lu, Hongyuan Zha, Xiaokang Yang, Weiyao Lin and Zhaohui Zheng(2013) , ‘A New Algorithm for inferring User Search Goals with Feedback Sessions’, IEEE Transaction on Knowledge and Data Engineering, Vol. 25, No. 3, pp. 502-522
Saranya Devi. S, Velusamy. A, Nagajothi. S "Optimized Search Results Based on Clustered Pseudo Documents" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 11, November 2018, pp.36-40 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue11/36-40.pdf
This work was designed to showcase the effect of upstream parameters on downstream products in a simple cascade refrigeration cycle in Niger Delta oil and gas production field. The generalized algorithm was developed and modeled on ASPEN HYSYS version 8.6 using the Peng-Robinson equation of state. The model consists of two segments- liquefaction and the fractionation. The liquefaction segment is a cascade refrigerant cycle which employs the use of an LNG heat exchanger, compressor, throttle valve and condenser process units while the fractionation unit employs the use of fractionating columns. This study models the relationship of the molar flow of propane refrigerant and the power consumed by the compressor, heat flow across the compressor and the condenser heat duty. It also showcases the effect of natural gas feed temperature on the inlet temperature of the fractionators as it relates to the temperature of top and bottom products as a means of providing solutions to specific and specialized natural gas processing; supplies data and process information for both technical and investment decision on the hydrocarbon utilization, optimization and application. The study reveals that a linear relationship exists between the molar flow of propane refrigerant and the power consumed by the compressor, heat flow across the compressor and the condenser heat duty. Also, a linear relationship also exists between the gas feed temperature and the de-methanizer and de-ethanizer fractionators but beyond the de-ethanizer there is no significant effect of the gas feed temperature on fractionators products.
- Page(s): 41-58
- Date of Publication: 07 December 2018
- Odoi Noble Ukela Centre for Gas, Refining and Petrochemicals, University of Port Harcourt, Nigeria
- Okeke Eric Obiora MERCOGAS Port Harcourt, Nigeria
- Oduola Mujeeb Koyejo Department of Chemical Engineering, University of Port Harcourt, Nigeria
References
[1]. Al-Sobhi, Saad Ali. Simulation and Integration of Liquefied Natural Gas Process. Texas: Office of Graduate Studies,Texas A&M University, 2007. [2]. Barclay, and Delton. "Thermodynamic Cycle Selection for Distributed Natural Gas Liquefaction." Liquefied Natural Gas Journal, 2005: 34-36. [3]. British Petroleum (B.P). Stastics Review of World Energy. British Petroleum PLC, United Kingdom: Bob Dudly, Group Chief Executive, 2016. [4]. Hamidreza, Taleshbahrami, and Saffari Hamid. "Optimization of the C3MR Cycle with Genetic Algorithm." Canadian Society of Mechanical Engineering 34, no. 3-4 (2010): 433-448. [5]. Meiquan, Wang, Zhang Jian, Xu Qiang, and Kuyen Li. "Thermodynamic Analysis-based Engegy Consumption Minimization for Nautral Gas Liquefaction." Industrial and Engineering Chemistry Research (American Chemical Society) 50, no. 22 (2011): 12630-12640. [6]. Nigerian National Petroleum Corporation. NNPC Business. August 15, 2018. http://www.nnpcgroup.com/nnpcbusiness/midstreamventures/nigeriangasmasterplan.aspx (accessed August 15, 2018). [7]. Paradowski, Heni, Mohamed Ould Bamba, and Christian Bladanet. "Propane Precooling Cycles for Increased LNG Train Capacity." 14th International Conference and Exhibition on Liquefied Natural Gas. Cedex, Paris: 92973 Paris La Defense, 2004. 107-124. [8]. Per E, Whal, and W Sigurd. "Formulating the Optimization Problem When Using Sequential Quadratic Programming Applied to a Simple LNG Process." Computers and Chemical Engineering Journal 82 (2015): 1-12. [9]. Phebe, Asantewa Owusu, and Asumadu-Sarkodie Samuel. "A Review of Renewable Energy Sources, Sustainability Issues and Climate Change Mitigation." Cogent Engineering 3 (2016). [10]. Roy, Partho S., and Amin M. Ruhul. "Aspen-HYSYS Simulation of Natural Gas Processing Plant." Journal of Chemical Engineering, IEB 26 (2011): 65. [11]. Salehi, Bahareh. LNG Plant Modeling and Optimization. Chemical and Petroleum Engineering, Curtin University, Western Australia: Curtin University, 2018. [12]. Shukri, T. "Liquefied Nnatural Gas Technology Selection." Hydrocarbon Engineering 9, no. 2 (2004): 71-76. [13]. Yoon, Jong. "Characteristics of Cascade and C3-MR Cycle on Natural Gas Liquefaction Process." International Journal of Chemical, Molecular, Nuclear, Materials and Metallurgical Engineering III (2009): 620-624.
Odoi Noble Ukela, Okeke Eric Obiora, Oduola Mujeeb Koyejo "Sensitivity Analysis of Process Parameters on Upstream Equipment and Downstream Products in a Single Cascade Refrigeration Cycle " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 11, November 2018, pp.41-58 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue11/41-58.pdf
This study is aimed at investigating the effect of Value Engineering technique on production cost reduction in manufacturing industry in Nigeria.The case study research design wasemployed for this study, simple cost benefit analysis was employed to analyze the data collected also the calculated cost performance index (CPI) show the cost sheet for march 2018 was actually over budgeted by 0.6% which implies that, as Notore chemical industries increase their value engineering activities production cost will be reduced by 0.6% as well as increasing theirproductivity. Based on the findings, it was recommended that an in-depth application of Value Engineering technique on product cost reduction in the manufacturing industry needs to be encouraged. It also proposes the technique for adoption as a standard practice for production cost reduction in the manufacturing industry in a developing country like Nigeria. Lastly it should be encouraged within the Nigeria manufacturing firm to harness the best possible mean of managing resources for production. The use of value engineering within the Nigeria manufacturing companies will also guarantee quality products at affordable cost.
- Page(s): 59-63
- Date of Publication: 08 December 2018
- Benneth C. AnumiheDepartment of Mechanical Engineering, Rivers State University, Nkpolu-Oroworukwo Port-Harcourt, Rivers State, Nigeria.
- Barinyima NkoiDepartment of Mechanical Engineering, Rivers State University, Nkpolu-Oroworukwo Port-Harcourt, Rivers State, Nigeria.
- Elemchukwu O. IsaacDepartment of Mechanical Engineering, Rivers State University, Nkpolu-Oroworukwo Port-Harcourt, Rivers State, Nigeria.
References
[1]. Alok G. (2017july-september)speech by the editor in chief (INVES) journal for Indian value engineering society, 33rdinternational conference vol. 28 No 3. India. [2]. Do D(Department of Defense)(1997), Final Report of the Process Action Team On Value Engineering Change Proposals, DoD, Washington, DC. scholar.google.com/scholar?hl=en&q=+DoD+%28Department+of+Defence%29+%281997%29%2C++Final+Report+of+the+Process+Action+Team+on+Value+Engineering+Change+Proposals+%2C+DoD%2C+Washington%2C+DC. [3]. Drury C. (2000) Management andCost Accounting, 5thEdition, London: Thomson Learning, p 898 [4]. Hauser R. (1997) Six Steps to ValueEngineering, World Wastes, October, Vol. 40, Issue 10” [5]. Miles L, D. (1989) Techniques ofValue Analysis and Engineering, 3rd Edition,Walker, U.S.A EleanorMiles [6]. Oludimu O. (2008) Value Analysis For Cost Reduction: A Nigerian Application A Publication in Journal of Research In National Development Volume 6 No 2,December, 2008 [7]. Sivaloganathan S., Kermode G.R,ShahinT.M.M (2000) Value Analysis-theTechnique; state of art and futuredirections, Proceedings of the Institution of Mechanical engineers-Part B Engineering Manufacture, Vol. 214 Issue 4,(P301-312). [8]. Sperling R.B (2001) UnderstandingValue Engineering, IIE Solutions, August 2001(p45-52) [9]. The World Fact book (2005)Nigeria Country Information, (Online)Available at https://www.cia.gov/redirects/ciaredirect.html
Benneth C. Anumihe, Barinyima Nkoi, Elemchukwu O. Isaac "Reduction of Production Cost in Nigeria Manufacturing Industry Using Value Engineering Technique" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 11, November 2018, pp.59-63 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue11/59-63.pdf
Response Surface Method of Design of Experiments was done using design-expert® 10 software to establish the design matrix and to analyze the experimental data. The relationships between independent variables (inlet air temperature in condenser, the air mass flow in the condenser, inlet air temperature in evaporator and air mass flow in the evaporator ) and the response (Coefficient Of Performance) were established. The central composite design (CCD) was selected for design and optimization of the process. The developed mathematical model was tested for adequacy using analysis of variance (ANOVA) and other adequacy measures. Analysis of variance revealed that these regressions are statistically significant and model fitted the experimental data well, with a coefficient of determination R2 of 0.9133 and an Adj-R2 of 0.8944 at a confidence level of 95% compounded with a very low standard deviation (0.075) and a high adequate precision(20.111). Based on response surface and desirability functions, the optimum conditions for the system were inlet air temperature in condenser 300C , the air mass flow in the condenser 30g/s , inlet air temperature in evaporator 22.50C and air mass flow in the evaporator 30g/s. The close relationship between the predicted COP values and the actual values further proves the worthiness of the empirical equation. It was observed that inlet air temperature in the evaporator had the highest influence on the COP. Through response surface diagrams, the interactive influence of the variables were also observed. The results of a confirmation experiment (Aveg COP =1.125 ) is found to be in good agreement with the value predicted by the model (COP =1.170)
- Page(s):64-71
- Date of Publication: 10 December 2018
- Kennedy C. Owuama Department of Mechanical Engineering, Chukwuemeka Odumegwu Ojukwu University Uli, Anambra, Nigeria.
- Kenneth R .E Nzemeke Department of Mechanical Engineering, Delta State Polytechnic Ogwash-uku, Deita, Nigeria.
References
[1]. Daniel D.Frey and Hungjen Wang (2006) Adaptive One-Factor-at-a-Time Experimentation and Expected Value of Improvement. [2]. Jeang, A., Liang, F., & Chung, C. (2008). Robust product development for multiple quality characteristics using computer experiments and an optimization technique. International Journal of Production Research, 46, 3415–3439. [3]. Ilbay, I., & Çelik, N. (2009). A statistical and experimental investigation on product design for copolymer based multichannel polyester draw textured yarns. Journal o Textile and Apparel, 19, 291–298 Indian Institute of Technology Kharagpur(2008) “ LESSONS ON REFRIGERATION AND AIR CONDITIONING’’, lesson 13 , Version 1 ME [4]. Joglekar, A.M, A.T. May, (1987) “Product excellence through design of experiments”, Cereal Food World, 32. 857- 868. 1987 [5]. Milton Burton, and K. C. Kurien (1959) Effects of Solute Concentration in Radiolysis of Water J. Phys. Chem., 63 (6), pp 899–904 [6]. Zhang, Z.M, H.L. Zheng, J. Hazard. Mater. 172, 1388 (2009) Application of Box-Behnken design with response surface methodology for modeling and optimizing ultrasonic oxidation of arsenite [7]. Kilicarslan, A., Mülle, N. (2004, July 14–16). “COPs of R718 in comparison with other modern refrigerants’’. In First Cappadocia International Mechanical Engineering Symposium, Cappadocia, Turkey [8]. Liu, H.L, Y.R. Chiou, Chem. Eng. J. 112, 173 (2005), “Optimal decolorization efficiency of Reactive Red 239 by UV/TiO2 photocatalytic process coupled with response surface methodology’’ [9]. Bjork, E. 2012. Energy efficiency improvements in household refrigeration cooling systems (PhD thesis). Royal Institute of Technology, UK
Kennedy C. Owuama and Kenneth R .E Nzemeke "Investigating Into the Optimum Performance and Reliability Assessment of a Vapor Compression Refrigeration System Using Statistical Approach" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 11, November 2018, pp.64-71 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue11/64-71.pdf
In this study, it is aimed to control the AC circuits of ACS 714 sensor up to 30 A with over current, time and external signal parameters. The user can determine which current range the system should operate on. The phase control is intended not only to overcurrent protection relay, but also to manually control the relay on / off by intervention from the outside and automatic control with software defined time. This is done by measuring the phase current with the ADC sensor of the ACS 714 to perform protection and control operations. In the experimental study, it was seen that the error rate in overcurrent after calibration was more successful than the previous observations.
- Page(s): 72-75
- Date of Publication: 11 December 2018
- Yüksel OğuzElectric-Electronic Engineering, Afyon Kocatepe University, Turkey
- Tolga Özer Electric-Electronic Engineering, Afyon Kocatepe University, Turkey
References
[2] Akbaba, S. (2008) “Investigation of theeffect of harmonics on digitalovercurrentrelays”Master Thesis, Yıldız Teknik University, İstanbul-Turkey. [3] Dalci, K. Burak, Recep Y,Altuğ B. (2011) "HarmonicEffects On ElectromechanicalOvercurrentRelays." Doğuş UniversityJournal 6.2, 202-209. [4] Uyar, O., (2010)“Design andimplementation of fuzzylogicbasedinduction motor protectionsystem”. Master Thesis. Selçuk University. [5] Hussain, M. H., S. R. A. Rahim, I. Musirin. (2013) "Optimal overcurrentrelaycoordination: a review." ProcediaEngineeringJournal, 53 (2013): 332-336. [6] Bayrak, M., (2000)“A New DigitalProtectionAlgorithm Design forGenerators”.Electrical-ElectronicsandComputerEngineeringSymposium (ELECO2000) 8-12November 2000, Bursa-Turkey. [7] Perdahçı, C., Can, İ. H.,(2011) "DigitalProtectionRelayCoordinationForReliability Analysis."EnerjiVerimliliğiVeKalitesiSempozyumu. 12-13 May,Kocaeli. [8] Akdağ, O., Yeroğu, C. (2017). " Simulation of OvercurrentRelayCoordination in 154/33, 6kVTransformator Center of Malatya." DÜMF Mühendislik Dergisi 9.1: 27-38. [9] Erdem, E., Kıvrak, S., Kesler, S., (2014). " 5kW, ShortCircuitProtectedSinglePhaseInverter Design WithTransformer,ELECO 2014, 27 – 29 November, Bursa [10] Cunkas, M., Akkaya, R.,Ozturk, A. (2000) "Protection of AC motorsbymeans of microcontrollers." Electrotechnical Conference. MELECON 2000. 10th Mediterranean. Vol. 3. IEEE, 2000. [11] Bayindir, R., et al (2008) "Faultdetectionandprotection of inductionmotorsusingsensors." IEEE transactions on energyconversion 23.3, 734-741. [12] Akimoto, Y., et al (1981) "Microprocessorbaseddigitalrelaysapplication in TEPCO." IEEE Transactions on PowerApparatusandsystems5, 2390-2398. [13] Al-Zyoud, A. R., Khraiwish, A.,Shakarchi, M., (2006) "ProtectiveRelaysPerformance in a Harmonic Environment." UniversitiesPowerEngineering Conference, 2006. UPEC'06. Proceedings of the 41st International. Vol. 3. IEEE. [14] Dalci, K. B., Yumurtaci, R., Bozkurt, A., (2011) "Harmoniceffects on electromechanicalovercurrentrelays." Doğuş Üniversitesi Dergisi 6.2 (2011): 202-209. [15] Çetinkaya, B., Akduman, B., (2009) "Tüpraş İzmit RelayCoordination Report." Siemens AŞ, Kocaeli
Yüksel Oğuz, Tolga Özer "Electronic Overcurrent Protection Relay Design and Application" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 11, November 2018, pp.72-75 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue11/72-75.pdf