Mechanical Engineering

This research deals with Low Cycle Fatigue (LCF) tests for three types of polymers, polyvinylchloride (PVC), polyoxymethy (POM), and polyamide (PA). The tensile test results showed that advantage cannot be taken from u y ratio and strain hardening coefficient (n) to estimate polymers behaviour under LCF test. There was a similarity in polymers behaviour with metals in the aspect of total strain, elastic strain and plastic strain curves with total cyclic number (2N). Fatigue strength exponent (b) and fatigue ductility exponent (c) for the polymers recorded values within metals limits. POM polymer showed less softening and greater transition life (NT). PA polymer exhibits sensitivity to external stress concentration in terms of reduction of transition life (NT). Softening behaviour of PA polymer increases with lower value of the notch radius.

The benefits of risk management in projects are huge. You can gain a lot of money if you deal with uncertain project events in a proactive manner. The result will be that you minimize the impact of project threats and seize the opportunities that occur. This allows you to deliver your project on time, on budget and with the quality results your project sponsor demands. Also your team members will be much happier if they do not enter a "firefighting" mode needed to repair the failures that could have been prevented. In this paper we identified six common risk factors that could impact a project. Some factors are obvious, but some are not and it is important to identify them all. You are encouraged to review them all when planning for project risks. Also In this paper we describe common schedule risk factors. We give you some tools to identify risk and lower its impact, thereby saving your projects from schedule slips.

Crude oil price directly influence the economic conditions of world. This will impact on the airlines operating of aero engines that lead to turbo machinery to future fuel conservation requirements. The continuing effort to improve performance has created in improving the efficiency of current and future gas turbine engines. The fuel efficiency of an aircraft is dependent upon factors: the drag contributed by the air frame, the drag contributed by the engine and the efficiency of the engine itself. In this paper we discuss the latest advancement in gas turbine engines that improves efficiency of the engine from a unit mass of fuel that is burnt. Turbofan engine coupled with planetary gear increases speed of low pressure compressor by three to four folds of fan takes place inside the core of the engine, which includes the compressor, the combustion chamber, and the turbines that extract mechanical energy from the hot, expanding gases. By increasing the fan diameter & by improving the overall bypass ratios up to 12, the fuel efficiency of engine increases to double digit ~15% which is revolutionary in aero engine development history.

Flow Shop Scheduling is the combinational optimization & NP-hard (i.e. Non-deterministic Polynomial-time hard) problems. In Permutation Flow Shops, the sequence of the jobs is same on all machines. In a Flow Shop Scheduling problem with ‘n’ jobs that should be processed on ‘m’ machines. The job can be processed on at most one machine; meanwhile one machine can be processed at most one job. A significant research effort has been committed for sequencing jobs in flow shop to minimizing the make span. Optimization algorithms such as Simulated Annealing (SA), Genetic Algorithm (GA), Ant Colony Optimization (ACO) & Neighborhood Search have played a significant role in solving small scale flow shop scheduling problems. In this paper a recently developed Teaching Learning Based Optimization (TLBO) is proposed method to solve the flow shop scheduling problems to minimize the make span. The proposed algorithm is tested on Taillard Benchmark problems and results are compared with Palmer’s & CDS Heuristic methods. The results show that the proposed algorithm is efficient in producing optimal solution and simple, easy to understand.

Wire electrical discharge machining (WEDM) own benefit in manufacturing of modern materials, particularly used in the space engineering technology as well as in therapeutic industries. With WEDM advancement, complex components can be able to cut easily those hard to machine with conventional process. Obtained high level of precision component and fine surface finish leads WEDM important, WEDM so perplexing in characteristic, as a result choice of fitting information variables is unrealistic by experimentation process. In any machining process, the machining parameters fundamentally influence quality; cost, time and production rate of a manufactured product. WEDM methodology includes more number of variables that influence its execution. However, in the illumination of the writing study and based on the previous tests, pulse on time, pulse off time, wire pressure, and water pressure are considered for the investigation. In this study, Response Surface Methodology (RSM) is utilized to show relation between the information and yield reactions by using trial information, gathered based on DOE. MRR and Ra were plotted and examined based on impact of information process parameters. Later on the created design can be used for optimization.

The use of nanofluids as the operating fluid in the TPCT (two phase closed thermosyphon) significantly improves the heat transfer. In the present study, the performance enhancement of 6063 AA TPCT container material with cerium IV oxide nanofluid is investigated by RSM using Box-Behnken Design (BBD). According to BBD design, the process parameters are heat input (A), inclination angle of TPCT (B), and the flow rate of pure water in the condenser section (C). This work resulted in identifying the optimized set of input parameters and output response of the 6063 AA TPCT.

The objective of this study was to design a singulation system for proper presentation of rice kernels to be analyzed by vision-based rice inspection systems. In order to achieve this goal, several ideas were examined and the preference of each design over the others was evaluated using the Multi-Criteria-Analysis (MCA) method. The proposed designs included a grooved conveyor belt, dual conveyor singulation device, vibrating tray, circular positioning device, and ejection nozzles. The assessment criteria considered in this research included complexity, fabrication cost, feasibility of implementation, singulation speed, and singulation accuracy. After executing the MCA method, the dual conveyor singulation design was selected as the best design for implementation. A prototype of the selected idea was then constructed and its performance was evaluated practically at different transmission frequencies (TFs) of the conveyor’s variable speed drive and discharge rate (DR) of kernels on the conveyor surface. Results of evaluation showed that in all of the DRs the singulation efficiency increased with transmission frequency. The results also revealed that for all of the evaluated TFs, increasing the discharge rate decreased the singulation efficiency. For all of the evaluated DRs, a somewhat irregular increase was observed in the number of singulated kernels with increasing TF. The highest singulation efficiency was equal to 93.09 % which was obtained at DR of 60 g/min and TF of 60 Hz. The highest number of singulated kernels was equal to 94.75, on the average, which was achieved at DR of 60 g/min and TF of 50 Hz

Press tool manufacturing is one of the widely emerging trends in production area. Basically sheet metal components are produced using press tools. In this work, Design and analysis procedure to develop bending press tool is discussed. The components manufactured using this process exhibits high dimensional accuracy therefore automobile and aircraft firm depend largely on press tools. The purpose of carrying out analysis is to prevent the costly tryouts and thus optimize the quality and rate of production.

As an engineer we need to solve the problems facing the present society. One among them is pollution it is very serious problem. One of the major cause for the pollution releasing of methane gas to the environment from the vehicle. To reduce this folding electrical cycle is a small effort which helps to reduce the pollution and provide more comforts to the rider. In this cycle we are arranging lithium battery to reduce the mechanical work done by the rider & folding experiences the rider more reliable,comfortable & portable to the rider

The objective of this paper is to predict the failure load of the composite laminates during tensile loading using an online Acoustic Emission (AE) monitoring and Artificial Neural Network. Bidirectional glass/epoxy laminates were subjected to tensile loading. The laminates were made for 12 layers of bi-directional glass mat in an epoxy matrix. The AE data recorded during the tensile testing was used to predict the failure load. The parameters such as amplitude, count, duration, energy, peak to count and rise-time were used for the analysis. Feed forward back propagation neural network model was generated from acoustic emission cumulative counts data taken during loading of bi-directional glass/epoxy tensile specimens. Cumulative counts recorded up to 50% and 75% of the failure load were used as the input data for simulation. The results show that the developed non-destructive method is capable of predicting the failure of composites subjected to tensile loading with an error of 3.5% and 7.6% for cumulative counts of 50% and 75% of loads respectively.