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Prasada Rao A.K.,College of the North Atlantic, Qatar | Prasada Rao A.K.,Brunel University
Transactions of the Indian Institute of Metals | Year: 2011

The present paper describes a method for predicting the imminence (hereafter referred to as 'quality') of the chemical composition of a recycled alloy to that of a standard alloy of aluminum recycled alloy made from aluminum scrap (used automotive components). The method has been validated experimentally, and the results obtained showed that the composition of the recycled alloy was close to that of the predicted one. These findings indicate that the present method can be effectively used for any other recycled alloys to predict the alloy composition based on the in-coming scrap alloys. A deviation factor has been defined in order to understand the composition of the recycled alloy obtained with reference to the ASTM alloy. © 2011 Indian Institute of Metals. Source

Al-Kindi G.,Sohar University | Zughaer H.,College of the North Atlantic, Qatar
Materials and Manufacturing Processes | Year: 2012

CNC machines are still suffering from machine blindness. They cannot automatically assess the performance of applied machined tasks. In this article, an approach is made to improve the performance of CNC machining by utilizing on-line vision-based monitoring and control system. To facilitate the integration of computer vision with CNC machines a system is proposed and developed to tackle a number of pinpointed issues that obstruct such integration. A practical executable methodology of these steps is developed to enable their beneficial implementation on lab-scale CNC milling machines. Two different models of bench type CNC machines are employed to generalize the findings. Two cameras are mounted on the machine spindle of each of the two employed CNC machines to provide valid image data according to the cutting direction. Proper selection and activation of relative camera is achieved automatically by the developed system which analyze the most recent conducted tool path movement to decide on which camera is to be activated. In order to assess the machining surface quality and cutting tool status, image data are processed to evaluate resulting tool imprints on the machined surface. An indicating parameter to assess resulting tool imprints is proposed and used. The overall results show the validity of the approach and encourage further development to realize real industrial scale intelligent vision-controlled CNC machines. © 2012 Copyright Taylor and Francis Group, LLC. Source

Mahfoud M.,College of the North Atlantic, Qatar | Emadi D.,CANMET Energy
Advanced Materials Research | Year: 2010

Aluminum has experienced significant growth in several sectors over the last decade as a result of its properties and performance attributes. Aluminum is being recognized by different sectors such as automotive, construction, aerospace, etc. as a one of the best candidate material for various applications. Increasing demand for aluminum-based products and further globalization of the aluminum industry have contributed significantly to the higher consumption of aluminum scrap for re-production of aluminum alloys. In automotive applications, for example, the opportunities for continued growth in powertrain and suspension applications plus lightweighting of body structures offer the potential for considerable further growth. Today, a large amount of the aluminum going into new products is coming from recycled products. This represents a growing "energy bank" of aluminum that will become available for recycling at the end of vehicles' lives, and thus recycling is becoming a major issue, and it is essential to tackle this problem before it is too late. The future growth offers opportunity for new recycling technologies and practices to maximize scrap quality, improve efficiency and reduce cost. The present paper highlights some of the current development work in recycling, the challenges facing the implementation of recycling technologies and the future prospective of the idea. © (2010) Trans Tech Publications. Source

Power R.,College of the North Atlantic, Qatar
CEUR Workshop Proceedings | Year: 2012

Qatar presents a unique opportunity to explore potential mLearning applications in a theoretical context. The geographically small country in the Arabian Gulf has nearly ubiquitous mobile and wireless network coverage. The penetration of devices such as smartphones is also incredibly high, including amongst students. And those students have expressed an overwhelming desire to integrate their mobile devices into their learning. With its virtual absence of infrastructural barriers, Qatar offers the potential to focus research on how mobile technologies can fulfill the promise of increasing student engagement by creating novel situated learning experiences. QR Cache was developed to provide an exemplar of mobile reusable learning objects (RLOs). In the pilot phase, RLOs accessed by scanning Quick Response (QR) codes were developed to teach English computer terminology. Feedback was solicited from participating students and instructors to demonstrate the desirability of using such RLOs in combination with learners' own mobile devices. The study also draws upon Transactional Distance Theory (TDT) (Moore, 1989, 1991) and Koole's (2009) FRAME model to provide theoretical grounding for both RLO and instructional design decisions. Early results show increased engagement, and reduced transactional distance. They also indicate that the RLOs show a strong convergence of the activity types delineated by the FRAME model. Source

MacRae B.,College of the North Atlantic, Qatar
Canadian Journal of Respiratory Therapy | Year: 2010

CNA-Q Faculty of Respiratory Therapy has joined with the Division of Perinatology, Women's Hospital, Hamad Medical Corporation, Qatar, in developing and providing a professional development program for existing Respiratory Therapy Staff as well as considering post graduate training of Respiratory Therapy graduates. Source

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