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Vignesh, S.
- Design of Low Power and High Stable SRAM Cell in 45nm Technology Using Cadence
Abstract Views :193 |
PDF Views:3
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Prathyusha Institute of Technology and Management, Thiruvllur, Chennai, IN
1 Department of Electronics and Communication Engineering, Prathyusha Institute of Technology and Management, Thiruvllur, Chennai, IN
Source
Programmable Device Circuits and Systems, Vol 7, No 7 (2015), Pagination: 205-208Abstract
The reduction of the channel length due to scaling increases the leakage current resulting in a major contribution to the static power dissipation. For stability of the SRAM cell good noise margin is required so noise margin is the most important parameter for memory design. The higher noise margin of the cell confirms the high-speed of SRAM cell. In this work, a novel SRAM cell with eight transistors is being proposed to reduce the static power dissipation. When compared to the conventional 6T SRAM the proposed SRAM shows a significant reduction in static power dissipation while produce higher stability. The technique employed for the proposed RAM cell, the operating voltage is reduced in idle mode. This technique leads a reduction of 97.81% on static power dissipation. Cadence Virtuoso tools are used for simulation with 45-nm CMOS process technology.Keywords
SRAM, High Stable, Low Power, 8T, 45nm, Virtuoso, Cadence.- Blind Spot Detection Using Ultrasonic Waves
Abstract Views :130 |
PDF Views:2
Authors
Affiliations
1 KPR Institute of Engineering and Technology, Arasur, Coimbatore-641407, IN
1 KPR Institute of Engineering and Technology, Arasur, Coimbatore-641407, IN
Source
Fuzzy Systems, Vol 6, No 2 (2014), Pagination: 45-48Abstract
The region behind the car which are invisible to the naked eyes and to the side mirrors are known as Blind Spot. The vehicles present in the blind zone causes greater hindrance to the drivers and may result in accident. The existing blind spot techniques use RADAR technology which is much costlier. In this paper we proposed a technique which uses Ultrasonic waves to detect the vehicles present in the blind zone. This technique is much cheaper and it can produce greater accuracy than the existing methods. The detected vehicles are also displayed near the rear view mirror with the help of a camera and a LCD display device.Keywords
Blind Spot, Ultrasonic, Radar, LCD Detection.- Predicting Porosity and Microhardness of the High Velocity Oxy-Fuel (HVOF) Sprayed Iron Based Amorphous Metallic Coatings
Abstract Views :205 |
PDF Views:4
Authors
Affiliations
1 Centre for Materials Joining and Research (CEMAJOR), Department of Manufacturing Engineering, Annamalai University, Annamalai Nagar, Tamil Nadu, IN
2 Protective Technologies Department, Naval Materials Research Laboratory (NMRL), Ambernath, Thane (Dist), Maharashtra, IN
1 Centre for Materials Joining and Research (CEMAJOR), Department of Manufacturing Engineering, Annamalai University, Annamalai Nagar, Tamil Nadu, IN
2 Protective Technologies Department, Naval Materials Research Laboratory (NMRL), Ambernath, Thane (Dist), Maharashtra, IN
Source
Manufacturing Technology Today, Vol 16, No 1 (2017), Pagination: 18-28Abstract
Fluid handling equipment such as propellers, impellers, pumps posses the inherent risk of flow-dependent erosion-corrosion problems. Though there are many coating materials available to combat erosion-corrosion damage in the above components, iron based amorphous coatings exhibits high erosion-corrosion resistance. High velocity oxy-fuel (HVOF) spray process is extensively used to deposit erosion-corrosion resistance amorphous coatings. In this investigation, iron based amorphous metallic coating was deposited on 316 stainless steel using HVOF spray process by varying the parameters such as oxygen flow rate, fuel flow rate, powder feed rate, carrier gas flow rate, and spray distance. Empirical relationships were established to predict the porosity and micro hardness of iron based amorphous coating. Microstructure observations of the coating were done by optical microscope. From the results, it is found that, fuel flow rate and spray distance appeared to be the most significant parameters affecting the mechanical properties of the iron based amorphous coating.Keywords
High Velocity Oxy Fuel Spray, Iron Based Amorphous Metallic Coating, Micro-Hardness, Porosity.References
- Wood, RJK; Speyer, AJ: Erosion–corrosion of candidate HVOF aluminium-based marine coatings, ‘Wear’ vol. 256, no. 5, 2003, 545-56.
- Wang, Y; Xing, ZZ; Luo, Q; Rahman, A; Jiao, J; Qu, SJ; Zheng, YG; Shen, J: Corrosion and erosion–corrosion behaviour of activated combustion high-velocity air fuel sprayed Fe-based amorphous coatings in chloride-containing solutions, ‘Corrosion Science’ vol. 98, no. 10, 2015, 339–353.
- Zhou, H; Zhang, C; Wang, W; Yasir, M; Liu, L: Microstructure and Mechanical Properties of Fe-based Amorphous Composite Coatings Reinforced by Stainless Steel Powders, ‘J. Mater. Sci. Technol’, vol. 31, no. 1, 2015, 43-47.
- Sasaki, K; Burstein, GT: Erosion Corrosion of stainless steel under impingement by a fluid jet, ‘Corrosion Science’ vol. 49, no. 1, 2007, 92-102.
- Wang, YG; Zheng, YG; Ke, W; Sun, WH; Hou, WL; Chag, XC; Wang, JQ: Slurry erosion– corrosion behaviour of high-velocity oxy-fuel (HVOF) sprayed Fe-based amorphous metallic coatings for marine pump in sand-containing NaCl solutions, ‘Corrosion Science’, vol. 53, no. 10, 2011, 3177-3185.
- Burstein, GT; Sasaki, K: Effect of impact angle on the slurry erosion corrosion of 304L stainless steel, ‘Wear’, vol. 240, no. 1-2, 2000, 80-94.
- Rajahram, SS; Harvey, TJ; Wood, RJK: Erosion Corrosion resistance of engineering materials in various test conditions, ‘Wear’, vol. 267, no. 1-2, 2009, 244-254.
- Hu, X; Neville, A: The electrochemical response of stainless steels in liquid-solid impingement, ‘Wear’, vol. 258, no. 1-4, 2005, 641-648.
- Murugan, K; Ragupathy, A; Balasubramanian, V; Sridhar, K; Optimizing HVOF Spray Parameters to attain minimum porosity and maximum hardness in WC-10Co-4Cr Coatings, ‘Surface and coating technology’, vol. 247, no. 1, 2014, 90-102.
- Thiruvikraman, C; Balasubramanian, V; Sridhar, K: Optimizing HVOF Spray Parameters to Maximize Bonding Strength of WC-CrC-Ni Coatings on AISI 304L Stainless Steel, ‘ASM International’, vol. 23, no. 5, 2014, 860-875.
- Doring, E; Vaben, R; Stover, D; Julich, D: The Influence of Spray Parameters on Particle Properties, ‘ITSC-International Thermal Spray Conf’ (DVS-ASM), Paper 3, 2002, 440-448
- Miller, RG; Freund, JE; Johnson, DE; Probability and Statistics for Engineers, Prentice of Hall of India Pvt. Ltd., New Delhi, 1999.
- Thirumalaikumarasamy, D; Shanmugam, K; Balasubramanian, V: Establishing empirical relationships to predict porosity level and corrosion rate of atmospheric plasma-sprayed alumina coatings on AZ31B magnesium alloy, ‘Journal of Magnesium and Alloys’, vol. 2, no. 2, 2014, 140-153.
- Montgomery, DC: Design and analysis of experiments. 2nd ed., Wiley, New York, 1984.
- Cochran, WG; Cox, GM: Experimental designs. 2nd ed., Singapore: John Wiley & Sons (Asia) Pvt Ltd., 1992.
- Thirumalaikumarasamy, D; Shanmugam, K; Balasubramanian, V: Developing Empirical Relationships to Predict Porosity and Microhardness of Atmospheric Plasma-Sprayed Alumina Coatings on AZ31B Magnesium Alloy, ’J. Manuf. Sci. Prod’, vol. 15, no. 2, 2015, 169–181
- Detection of Green and Orange Colour Fruits in Outdoor Condition Using Robotic Applications
Abstract Views :170 |
PDF Views:4
Authors
Affiliations
1 Department of ICE, Tamilnadu College of Engineering, IN
2 Department of ICE, Tamilnadu College of Engineering, IN
1 Department of ICE, Tamilnadu College of Engineering, IN
2 Department of ICE, Tamilnadu College of Engineering, IN
Source
Fuzzy Systems, Vol 9, No 6 (2017), Pagination: 109-113Abstract
This project is developed for an automation purpose which is suitable for juice making industries. For this, we will be using image processing for detecting the colour. By using image sensor, we will be monitoring the fruits which are moving in a conveyor belt. The monitored information will be sent to image processing section. By using LABVIEW we will be processing the images and as the result we will get an extracted colour of the input product. If the fruits are yellowish green, then it will be processed to the next section and if the fruits are not in expected colour, then we will get an alert saying that the corresponding fruit is not suitable for the next process. By using RTC, we will be monitoring the shift timings and based on the shift timings, production output will be calculated.References
- A. R. JIMENZE, R. CERES, J.L. Pons, ”A Survey of computer vision method for locating fruits on trees”Trans.ASAE,vol.43, no.6,2000, pp.1911-1920.
- D.M.BULANON, T.K KATAOKA, S. ZHANG, T.OTA, T.HIROMA “Optional Thresholding for the Automatic Recognition of Apple Fruits,” ASAE 2001, NO 01-3133.
- A Review of Advanced Casting Techniques
Abstract Views :382 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore, IN
2 Industrial Engineering, Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore, IN
1 Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore, IN
2 Industrial Engineering, Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore, IN
Source
Research Journal of Engineering and Technology, Vol 8, No 4 (2017), Pagination: 440-446Abstract
Nowadays, in the area of casting, the focus is on cost and resource efficient production of increasing complex shapes, miniature precision component along with the considering environmental issues, put an all stringent requirements on the advances in casting technology. Casting is the primary manufacturing process is being developed at each and every stages over centuries of years to satisfy the needs of the customer. This paper reviews most of the advanced casting techniques and their advantages, limitations and applications in the field of engineering. The paper is divided into four sections, the first section details about the casting process within expandable mold with expandable patterns such as investment casting, full mold process and replicast process. The second section describes about the semisolid process such as thixocasting, rheocasting and thixomolding. The third sections explains non-bonded sand molding process such as vacuum molding and magnetic molding and the fourth sections associates with the centrifugal casting process such as De Lavand process and Moore casting process.Keywords
Semisolid Process, Centrifugal Casting Process, Replicast Process, Expandable Mold with Expandable Patterns.References
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- Kumar, S., Kumar, P., Shan, H.S., 2007. Effect of evaporative pattern casting process parameters on the surface roughness of Al–7% Si alloy castings. J. Mater. Process. Technol. 182 (2–3), pp. 615–623.
- O. Ludwig, C.-L. Martin, J.-M. Drezet, and M. Sue´ry, Rheological Behaviour of Al-Cu Alloys During Solidification: Constitutive Modelling, Experimental Identification and Numerical Study, Met. Mater. Trans., Vol 36A, 2005, pp. 1525–1535
- M.C. Flemings, Semi-Solid Processing — The Rheocasting Story, Test Tube to Factory Floor: Implementing Technical Innovations, Proceedings of the Spring Symposium, May 22, 2002, Metal Processing Institute, Worcester Polytechnic Institute, Worcester, MA, 2003
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