Mech Guru

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An autonomous vehicle is fundamentally defined as a passenger vehicle that drives by itself. An autonomous vehicle is also referred to as an autopilot, driverless car, auto-drive car, or automated guided vehicle. In the future, automated systems will help to avoid accidents and reduce congestion. The future vehicles will be capable of determining the best route and warn each other about the conditions ahead.   Google has been working on it’s self driving car technology, where the user is required to enter an address in Google maps, after which the system gathers information from Google Street View and combines it with artificial intelligence software. The software includes information from video cameras in car, a LIDAR sensor on top of vehicle, radar sensors in front and a position sensor attached to one of the rear wheels that helps locate the car’s position on map. These sensors aid the car in maintaining distance with surrounding vehicles/objects. The control mechanism of an autonom

LEDs won’t burn your hand like some light sources, but they do produce heat. All light sources convert electric power into radiant energy and heat in various proportions. LEDs generate little or no IR or UV, but convert only 20%-30% of the power into visible light; the remainder (70%) is converted to heat that must be conducted from the LED die to the underlying circuit board and heat sinks, housings, or luminaire frame elements. Term: Heat Sink: Thermally conductive material attached to the printed circuit board on which the LED is mounted. Myriad heat sink designs are possible; often a “finned” design is used to increase the surface area available for heat transfer. For general illumination applications, heat sinks are often incorporated into the functional and aesthetic design of the luminaire, effectively using the luminaire chassis as a heat management device. Why does thermal management matter? Excess heat directly affects both short-term and long-term LED performance. The short

Long-lived power supplies for remote and even hostile environmental conditions are needed for space and sea missions. Nuclear batteries can uniquely serve this role. In spite of relatively low power, the nuclear battery with packaging can have an energy density near a thousand watt-hours per kilogram, which is much greater than the best chemical battery. It would reason that small devices would need small batteries to power them. The world of tomorrow that science fiction dreams of and technology manifests might be a very small one. Tritium is a radioactive isotope of hydrogen that typically is produced in nuclear reactors or high energy accelerators. It decays at a rate of about five percent per year (half of it decays in about 12 years). It gives off radiation in the form of a beta particle. Tritium will bind anywhere hydrogen does, including in water, and in plant, animal and human tissue. It cannot be removed from the environment once it is released. Tritium can be inhaled, ingeste

Dwivedi , Piyush  and  Vishal , Vivek  (2007)  Particle swarm optimization applied to job shop scheduling.  BTech thesis. PDF 362Kb Abstract In this project we have to apply the particle swarm optimization algorithm to job shop scheduling problem. Job shop scheduling is a combinatorial optimization problem where we have to arrange the jobs which may or may not be processed in every machine in a particular sequence and each machine has a different sequence of jobs. Job shop scheduling is a complex extended version of flow shop scheduling which is a problem where each job is processed through each and every machine and each machine has a same sequence of jobs. Our main objective in both kind of problem is to arrange the jobs in a sequence which gives minimum value of make span. PSO (Particle swarm optimization) helps us to find a combination of job sequence which has the least make span. In PSO a swarm of particles which have definite position and velocity for each job. In PSO, to find t

Dear, Rishi Kumar  (2007)  Estimation of power generation potential of agricultural based biomass species.  MTech thesis. PDF 802Kb Abstract In view of high energy potential in agricultural residues species and an increasing interest in their utilization for power generation an attempt has been made in this study to asses the proximate analysis and energy content of different components of four selected agricultural residues such as maize, coconut, paddy and arhar, and their impact on power generation and land requirement for energy plantations. The net energy content in coconut plant was found to be higher than other studied agricultural residues. The result shows that approximately 717 hectares, 1123 hectares, 1511 hectares and 4319 hectares of land are required to generate 20,000 kWh/day electricity from, coconut, maize, paddy and arhar pulse residues respectively. Coal samples, obtained from six different local mines were also examined for their qualities and the results were compa

Dikshit, Vishwesh   (2007)   Development of compact copper-stainless steel heat exchanger using diffusing bonding techniques.   MTech thesis. Full text not available from this repository. Abstract The necessity of high effectiveness in a small volume has led to the development of perforated plate compact heat exchangers(CHE) for cryogenic applications. Although the basic principles have remained the same, the techniques of bonding have changed considerably during the last four decades. With the introduction of all metal construction, these exchangers are finding increasing use in cryogenic refrigerators. Besides soldering, brazing and adhesive bonding as joining techniques diffusion bonding of compact heat exchangers has been primarily applied. Diffusion bonding of copper to stainless steel(304) was carried out with interlayer metals such as Cr and Ni in order to investigate the influence of the interlayer metals on bonding conditions of the joints. The microstructure of the interfaces

Datta, Sandip  and  Samad, Sabir Kumar  (2007)  Data mining of machine design elements using AI techniques.  BTech thesis. PDF 434Kb Abstract Data Mining is the process of extracting knowledge, hidden from large volume of raw data. AI is about simulating human intelligence. The project aims at proving that Data mining methods can be realized in Mechanical Engineering Industries. To prove this we have created a Database containing design elements and have made the process to retrieved design elements as per the requirements. The same when applied to any industry, it can be proved beneficial and also cut down a lot of time wasted due to human in efficiency. This includes several steps: 1. Design a Database which stores data, 2. using asp.net code to retrieve the data, Data mining techniques viable tools for determining interesting patterns, clustering the parameter space, detecting anomalies in the simulation results, and for designing improved physical models. In mechanical industries,