Volume VII Issue XI

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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)

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.