Muhammad Aamir

Study on Ultra-fast Cooling Behaviors of Water Spray Cooled Stainless Steel Plates

Spray cooling is an effective tool to dissipate high heat fluxes from hot surfaces. This article thoroughly investigates the effect of thickness of a hot stainless steel plate on the cooling time, cooling rate, heat flux, and heat transfer coefficient under constant mass flow rate maintained at 1 MPa using water as the coolant. Cylindrical samples of stainless steel with constant diameter (D = 25 mm) and thickness (δ = 7.5, 12, 16.5, and 21 mm) were used in the present study. Critical droplet diameter to achieve an ultra-fast cooling rate of 300°C/s was estimated by using an analytical model for samples of varying thicknesses. The analytical model (one side spray cooling) showed good agreement with experimental results with a relative error of 3.2% in the plate thickness range of 1–12 mm. An increasing trend in maximum heat flux was found with increasing thickness of the plate. Maximum heat flux as high as 1,800 kW/m2 was achieved for a 21-mm-thick sample. Heat transfer coefficients in the range 0.092–96.24 kW/m2K, 0.111–98.9 kW/m2K, 0.074–63.4 kW/m2K, and 0.127–55.63 kW/m2K were reported for sample of varying thicknesses in the present study. Limited published work is available with reference to water spray cooling dynamics and thickness of stainless steel plate. Therefore, the present study focuses on the correlation between the thickness of the plate and spray dynamics of water spray cooling.

Terahertz Time Domain, Raman and Fourier Transform Infrared Spectroscopy of Acrylamide, and the Application of Density Functional Theory

We present terahertz time domain spectra of acrylamide in the frequency range from 0.2 to 2 THz with nearly constant refractive index having an average value of 1.33 and an absorption coefficient. Raman (95–3000 cm−1) and FTIR (450–4000 cm−1) spectra also show good agreement with density functional theory (DFT) B3LYP 6-311G

Estimation of Surface Heat Flux and Surface Temperature during Inverse Heat Conduction under Varying Spray Parameters and Sample Initial Temperature

An experimental study was carried out to investigate the effects of inlet pressure, sample thickness, initial sample temperature, and temperature sensor location on the surface heat flux, surface temperature, and surface ultrafast cooling rate using stainless steel samples of diameter 27 mm and thickness (mm) 8.5, 13, 17.5, and 22, respectively. Inlet pressure was varied from 0.2 MPa to 1.8 MPa, while sample initial temperature varied from 600°C to 900°C. Becks sequential function specification method was utilized to estimate surface heat flux and surface temperature. Inlet pressure has a positive effect on surface heat flux (SHF) within a critical value of pressure. Thickness of the sample affects the maximum achieved SHF negatively. Surface heat flux as high as 0.4024 MW/m2 was estimated for a thickness of 8.5 mm. Insulation effects of vapor film become apparent in the sample initial temperature range of 900°C causing reduction in surface heat flux and cooling rate of the sample. A sensor location near to quenched surface is found to be a better choice to visualize the effects of spray parameters on surface heat flux and surface temperature. Cooling rate showed a profound increase for an inlet pressure of 0.8 MPa.

A New Web Based Student Annual Review Information System (SARIS) With Student Success Prediction

In this paper, we are proposing new web based Student Annual Review Information System (SARIS) and prediction method for the success of scholar students to China Scholarship Council(CSC). The main objective of developing this system is to save the cost of paper, to reduce the risk of data loss, to decrease the processing time, to reduce the delay in finding for the successful students. The proposed system and prediction method is intended to be used by China Scholarship Council; however SARIS and prediction method are quite generic and can be used by other scholarship agencies.

The Novelty of A-Web based Adaptive Data-Driven Networks (DDN) Management & Cooperative Communities on the Internet Technology

Nowadays, the area of adaptive data science of all data-driven properties on the Internet remains generally envision through integrated web entity maintenance. In this connection, several clients can collaborate with web server then collapse all data resources. However, the ideal client/server model tolerates after approximate edge produced via design all data in the unique centric area. Specifically, the proposed method of Internet cooperative communities is graphed data structure of vertical and horizontal entities sharing a mutual concern or field of reference. The computer networks centrally located the segment of cooperative neighbourhood build a logically graphs structure connection links spread the sensible computer networks structure of searching cooperative communities’ nodes on the Internet. The time for generation a global cooperative community structure can be improved and adjusted. That confesses the tool around dynamic and in state of the art algorithms’ and its usage performances. In this way, our techniques can professionally selection the classified structure of A-Web communities, and users preferred web data services can be recovered and choosing A-Web communities allowing to the categorised structure and distributes systems on influence rank. Finally, this is implemented into the novelty of A-Web constructed adaptive data-driven networks management structure. In the part of the contribution, this system provides the revolution of decentralised networking libraries. In other words, this project connects on the free-net and help in searching millions of scientific research data science volumes that are published globally on the Internet technology. This system also will connect other files; documents or info-resources on A-Web and middleware of the fundamental concepts of A-Web will be encapsulated transitory.

A Multi-Level Process Mining Framework for Correlating and Clustering of Biomedical Activities using Event Logs

Cost, time and resources are major factors affecting the quality of hospitals business processes. Bio-medical processes are twisted, unstructured and based on time series making it difficult to do proper process modeling for them. On other hand, Process mining can be used to provide an accurate view of biomedical processes and their execution. Extracting process models from biomedical code sequenced data logs is a big challenge for process mining as it doesn’t provide business entities for workflow modeling. This paper explores application of process mining in biomedical domain through real-time case study of hepatitis patients. To generate event logs from big datasets, preprocessing techniques and LOG Generator tool is designed. To reduce complexity of generated process model, a multilevel process mining framework including text similarity clustering algorithm based on Levenshtein Distance is proposed for event logs to eliminate spaghetti processes. Social network models and four distinct types of sub workflow models are evaluated using specific process mining algorithms.

Cloud government- a proposed solution to better serve the nation

The main responsibility and duty of government employees is to serve the nation. We have proposed a combination of cloud computing solution and data mining to the third world countries to better serve the nations. We have focused data/statistics gathered from Pakistan as exemplary data. There are four provincial governments of Pakistan headed by the Chief Ministers and ministries/departments are headed by the ministers/department heads. Having the up to date and accurate information on finger tips is headache for the stakeholders as the existing system is manual (Paper) work. The main objective of the proposed solution is to provide the up to date and accurate information (knowledge) to the stakeholders on their finger tips providing them a dashboard displaying the information with the drill down/up facility to get information of the own will. The proposed solution is intended to be used by the governments of third world countries to better serve the nations. However; the proposed solution is quite in general and can be easily adopted by the private organizations currently using individual information systems at different locations.