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Featured researches published by Wadea Ameen.


Virtual and Physical Prototyping | 2018

An overview of selective laser sintering and melting research using bibliometric indicators

Wadea Ameen; Atef Mohammed Abdo Ghaleb; Moath Alatefi; Hisham Alkhalefah; Abdulrahman Al-Ahmari

ABSTRACT The aim of this paper is to present an overview of published research in selective laser sintering/melting (SLS/M), by using bibliometric indicators. Bibliometrics is the quantitative statistical analysis of written publications, such as articles or books. It is useful for displaying and classifying information according to selected variables, such as authors, journals, citations, countries, and institutions. This type of review provides a clear picture of research in a targeted area, such as the most cited research, author with most publications, journal with most published papers, and universities and countries producing the largest amount of research in the target area. The Web of Science database was used to collect data on the topic of interest. The results reveal that the Rapid Prototyping journal is the most productive journal in this field, where the Huazhong University Science Technology is the most effective institution. Also China is the most productive country, whereas USA is the most influential country.


International Journal of Turbo & Jet-engines | 2018

Semi-Immersive Virtual Turbine Engine Simulation System

Mustufa H. Abidi; Abdulrahman Al-Ahmari; Ali Ahmad; Saber Darmoul; Wadea Ameen

Abstract The design and verification of assembly operations is essential for planning product production operations. Recently, virtual prototyping has witnessed tremendous progress, and has reached a stage where current environments enable rich and multi-modal interaction between designers and models through stereoscopic visuals, surround sound, and haptic feedback. The benefits of building and using Virtual Reality (VR) models in assembly process verification are discussed in this paper. In this paper, we present the virtual assembly (VA) of an aircraft turbine engine. The assembly parts and sequences are explained using a virtual reality design system. The system enables stereoscopic visuals, surround sounds, and ample and intuitive interaction with developed models. A special software architecture is suggested to describe the assembly parts and assembly sequence in VR. A collision detection mechanism is employed that provides visual feedback to check the interference between components. The system is tested for virtual prototype and assembly sequencing of a turbine engine. We show that the developed system is comprehensive in terms of VR feedback mechanisms, which include visual, auditory, tactile, as well as force feedback. The system is shown to be effective and efficient for validating the design of assembly, part design, and operations planning.


Electronic Journal of Biotechnology | 2017

Structural and mechanical characterization of custom design cranial implant created using additive manufacturing

Khaja Moiduddin; Saied Darwish; Abdulrahman Al-Ahmari; Sherif Elwatidy; Ashfaq Mohammad; Wadea Ameen


International Journal of Industrial Ergonomics | 2018

Evaluation of 3D printing approach for manual assembly training

Abdulrahman Al-Ahmari; Wadea Ameen; Mustufa H. Abidi; Syed Hammad Mian


Rapid Prototyping Journal | 2018

Novel dynamic CAPP system for hybrid additive–subtractive–inspection process

Osama Abdulhameed; Abdurahman Mushabab Al-Ahmari; Wadea Ameen; Syed Hammad Mian


Metals | 2018

Manufacturability of Overhanging Holes Using Electron Beam Melting

Wadea Ameen; Abdulrahman Al-Ahmari; Muneer Khan Mohammed; Syed Hammad Mian


Journal of King Saud University: Engineering Sciences | 2018

Investigation of the effect of buffer storage capacity and repair rate on production line efficiency

Wadea Ameen; Mohammed Alkahtani; Muneer Khan Mohammed; Osama Abdulhameed; Abdulaziz M. El-Tamimi


International Journal of Computer Assisted Radiology and Surgery | 2018

Accuracy of computer-aided design models of the jaws produced using ultra-low MDCT doses and ASIR and MBIR

Asma’a A. Al-Ekrish; Sara A. Alfadda; Wadea Ameen; Romed Hörmann; Wolfgang Puelacher; Gerlig Widmann


Applied Sciences | 2018

Evaluation of Handheld Scanners for Automotive Applications

Wadea Ameen; Abdulrahman Al-Ahmari; Syed Hammad Mian


Archive | 2017

Lumbar spine pedicle screw guide

Amro Al-Habib; Abdulrahman Al-Ahmari; Wadea Ameen

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