K. Karunakaran ¹, M. Chandrasekaran ¹

Affiliations
1 Department of Mechanical Engineering, Vels University, Chennai - 600117, Tamil Nadu

Abstract

Objectives: To optimize the Material Removal Rate, Surface Rougness and Tool Wear Rate in Powder Mixed Electrical Discharge Machining (PMEDM) of Incony 800 and to prepare parameter chart card for the Manufacturer to choose required parameter based on the job requirements and cost estimation etc. Methods/Analysis: The purpose of powder mix in a dielectric is to improve the machining performance, in which the powder material’s, size, concentration and its base fluids are greatly influenced in machining performance. Hence this research is focused on study the influence of Nano-Powders with selected concentration in PMEDM of Incony 800 with silver coated electrolyte copper electrode. so the Taguchi full factorial Design is employed for the Nano-Powders of Aluminum, silicon and Multi-Wall Carbon Nano Tubes and No Powder mixed condition (conventional dielectric) were considered for investigation Findings: The Powder mixed electrical discharge machining (PMEDM) is mostly encounter choice in machining hard material to obtain a superior finish with accurately. The Nano-powder of Multi-Wall Carbon Nano Tubes (MWCNTs) outperforms than other Nano-Powders. The results were compared to conventional EDM and Nano-Power Mixed EDM (NPMEDM). The NPMEDM reduced the Tool Wear Rate (TWR) average percentage of 11.91%, 20.72% and 31.71%, the percentage of surface roughness reduction are 9.58%, 22.00% and 28.93% and the material removal rate improvement are 17.70%, 31.62% and 47.03% than Conventional EDM by Aluminum NPMEDM, Silicon NPMEDM and MWCNTs NPMEDM respectively. Application/Improvement: The study is unique by using nanopowders of MWCNTs, Al, Si mixed in Kerosine and servotherm oil enriched dielectric fluid for machining Nickel based super alloy like Incony 800. Here the EDM and PMEDM performances were evaluated experimentally and compared. No statistical and approximation were used. The unique approach of preparation of parameter card was introduced.

Keywords

NPMEDM, EDM, Tool wear rate, Material Removal Rate, Surface Roughness, nanopowders.

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M. Chandrasekaran ¹, A. Lakshmi Srinivas ¹, Bharat Nallan Chakravarthy ¹

Affiliations
1 Department of Mechatronics Engineering, SRM University, Kattankulathur-603203, Tamilnadu, IN

Abstract

Objectives: The present work focuses on tele operated mobile robot with wireless control through the customized web user interface to ensure the knowledge about the environment by live video surveillance. Methods/Statistical Analysis: Live video streaming is provided through the browser that allows the user to manipulate the robot from the comfort of a web interface. Streaming of surveillance is received and viewed on a remote desktop or even a mobile phone. Robot wheel motor is interfaced with the server using Raspberry Pi. Data is collected from the sensor and the onboard camera and stored in the database for analysis. Findings: The main feature of this robot is its all-terrain capabilities with rugged construction give the vehicle a high payload torque and multi terrain capabilities. Live streaming from all-terrain vehicle gives the user a visual interface which gives more knowledge about the environment so that the user can make decisions. Moreover, the user can control the vehicle and its direction from a web-browser interface. The user experience is mainly focused in this paper and if the user makes an error which is harmful for the vehicle an override algorithm is used to overcome the user input. Applications/Improvements: This paper was designed for the application of mobile robot in the field of military applications such as live video surveillance and robot navigation.

Keywords

All-Terrain Vehicle, Mobile Robot, Raspberry Pi, Web-User Interface, Wireless Camera

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S. Sivaganesan ¹, M. Chandrasekaran ¹

Affiliations
1 Department of Mechanical Engineering, Vels University, Chennai - 600117, Tamil Nadu, IN

Abstract

Background/Objectives: The alternate fuel is required worldwide to rectify the future demand and to deduce the emission in the IC engine. The main objective of this work is to analyze the characteristics of Methyl Ester of Jatropha as alternative fuel. Methods/Statistical Analysis: The various fuel blend ratio of MEOJ (Methyl Ester of Jatropha) was used in compression ignition engine with diesel fuel at constant speed. The different blends B20MEOJ, B40MEOJ, B60MEOJ, B80MEOJ and B100MEOJ were used for engine testing purpose. Findings: Performance, combustion and emission characteristic of the diesel engine was compared with the blends of jatropha for better efficiency and to reduce the emission. In maximum load, for B20MEOJ blend the efficiency is 27.93% and for diesel is 28.18%. Smoke density for B20 blend of MEOJ at maximum load is 61.9 HSU while that for diesel is 81.2 HSU. The heat release rate is about 57.75 J/ degree with diesel, 53.57 J/degree for B20 blend MEOJ. Application/Improvements: Biodiesel blend has performance closer to diesel, but emission is reduced in all blends of MEOJ compared to diesel. Thus the work marks for the suitability of biodiesel blends in diesel engine as an alternate fuel.

Keywords

Combustion, Compression Ignition Engine, Exhaust Emission, Methyl Ester of Jatropha, Performance.

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R. Sridhar ¹, M. Chandrasekaran ¹, Tom Page ²

Affiliations
1 Department of Mechanical Engineering, Vels University, Chennai - 600117, Tamil Nadu, IN
2 Lough borough University, Loughborough, GB

Abstract

Objectives: The packing of goods in any industry is a tedious work. The proposed system evaluates the optimal packing and prediction of 3D bin packing maximize the maximize profit. Methods/Statistical Analysis: The Adaptive Genetic Algorithm (AGA) is used to solve the 3D single bin packing problem by getting the user input data such as number of bins, its size, shape, weight, and constraints if any along with standard container dimension. These inputs were stored in the database and encoded to string (chromosomes) format which were normally acceptable by AGA. Findings: The performance of the hybrid GA the Tuning algorithm is satisfactory and gives the feasible solution when compared with the other standard search algorithms. The minimum number of boxes left unloaded by using this algorithm will helps to validating the developed bin packing system. The developed Adaptive Genetic Algorithm was validated using the mathematical function. This research work is the good background of further development and analysis in this transportation domain of the following cases- Case 1: Homogenous boxes of same dimensions: all the boxes packed without gap. Case 2: Homogenous boxes of arbitrary dimensions: all the boxes packed with small gaps. Case 3: Homogenous/Heterogeneous boxes of arbitrary dimensions: all the boxes packed with gaps. Application/Improvements: The proposed adaptive genetic approach is very helpful in the logistic industries, especially for cargo packaging for export this is very helpful and can be easily implement any logistic industry.

Keywords

AGA, Bin Packing, Genetic Approach, Optimization, Tuning Algorithm.

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