Saqib Anwar
King Saud University
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Featured researches published by Saqib Anwar.
Advances in Mechanical Engineering | 2015
Abdulrahman Al-Ahmari; Emad Abouel Nasr; Khaja Moiduddin; Saqib Anwar; Mohammed Al Kindi; Ali K. Kamrani
Mandible defects and its deformities are serious complications and its precise reconstruction is one of the most challenging tasks in oral maxillofacial surgery. The commercially available standard mandible implants are manually bended before surgery to custom fit the patient’s jaw. A slight mismatch in the plate and bone alignment may result in the implant failure. However, with the integration of computer-aided design, rapid prototyping, and advanced imaging systems (computed tomography or magnetic resonance imaging), it is possible to produce a customized mandible implant that can precisely fit the patient’s jaw. The aim of this article is to compare a new design of customized mandible implant (sinewave plate) and compare it with the commonly used straight implant design. The finite element–simulated results reveal that the commonly used straight reconstruction plates are more prone to loosening of the screws due to its higher strain concentration on the screw hole when compared to newly designed sinewave reconstruction plate. Moreover, the straight plate is more sensitive to the chewing load variations and develops almost 20% increase in the stresses when compared to sinewave plate. The study reveals that the sinewave reconstruction plate can significantly enhance the stability and safety of the mandible implant.
Advances in Mechanical Engineering | 2018
Saqib Anwar; Mustafa M Nasr; Abdulrahman Al-Ahmari; Mohammed Alkahtani; Basem M.A. Abdo; Abdulaziz M. El-Tamimi; Saied Darwish
This article presents the use of the rotary ultrasonic machining process for drilling holes in Ti6Al4V alloy which is regarded as a difficult-to-cut material due to its high-temperature strength and low thermal conductivity. This research presents an experimental investigation on the effect of the key rotary ultrasonic machining input parameters including ultrasonic power, spindle speed, feed rate, and the tool diameter on the main output responses including cutting force, hole cylindricity and overcut errors, and tool wear. No previous reports were found in literature to experimentally investigate the effect of the rotary ultrasonic machining parameters and the tool diameter on tool wear, surface integrity, and the accuracy of the drilled holes in Ti6Al4V alloy. The results showed that the rotary ultrasonic machining input parameters within the current ranges can significantly affect the quality of the drilled holes. Through proper selection of input parameters, holes could be drilled in Ti6Al4V alloy with smoothed surface morphology, low tool wear (0.7 mg) and very low cylindricity (2 µm) and overcut (120 µm) errors. Moreover, it was found that the selected level of any input parameter has the ability to significantly affect the influence of the other input parameters on the output responses.
Advances in Mechanical Engineering | 2018
Saqib Anwar; Mustafa M Nasr; Salman Pervaiz; Abdulrahman Al-Ahmari; Mohammed Alkahtani; Abdulaziz M. El-Tamimi
BK7 glass is an important engineering material with extensive applications in high-quality and precision transmissive optical components. However, BK7 glass is considered to be a difficult-to-cut material due to its high brittleness and nonconductivity. This article presents the use of rotary ultrasonic machining process for drilling holes in BK7 glass. No previous reports have been found in the literature to experimentally investigate the response of the BK7 glass to rotary ultrasonic drilling. The experimental investigations take into account the effect of the key rotary ultrasonic machining input parameters including the ultrasonic power, spindle speed and feed rate on the output responses of cutting force, exit chipping, surface roughness, hole cylindricity and overcut errors, and surface integrity. The results show that the input parameters within the current ranges can significantly affect the quality of the drilled holes. Moreover, the selected level of any input parameter has the ability to significantly affect the influence of the other input parameters on the output responses. Through proper selection of input parameters, holes could be drilled in BK7 glass with less fractured topography, low surface roughness (1.32 µm), low exit chipping size (0.85), and very low cylindricity (3 µm) and overcut (73.6 µm) errors.
Quality Technology and Quantitative Management | 2018
Shafiq Ahmad; Moath Alatefi; Mohammad Alkahtani; Saqib Anwar; Mohamed Abdel Fattah Sharaf; Mali Abdollahian
Abstract Bibliometric research focuses on the analysis of the bibliographic indicators quantitatively. It is a useful way for classifying information according to different variables, including journals, institutions and countries. This paper presents a general overview of research conducted in the field of process capability using bibliometric indicators. The main advantage of the current study is that the bibliometric indicators provide a broad picture and identify some of the most influential research conducted in the area of process capability. The analysis is divided into key sections focused on relevant journals, research papers, authors, institutions and countries. Web of Science (WOS) databases is the source of data for carrying out this bibliometric analysis. The study reveals that W.L. Pearn and C.W. Wu. are the two most influential authors in process capability research. On the other hand, Journal of Quality Technology, and Quality and Reliability Engineering International are the two most influential journals for publishing process capability researches. Furthermore, Taiwan is found to be the most influential country, followed by the U.S.A. in the process capability research.
Metallurgical and Materials Transactions A-physical Metallurgy and Materials Science | 2018
Mohammad Islam; Yasir Khalid; Iftikhar Ahmad; Abdulhakim A. Almajid; Amine Achour; Theresa J. Dunn; Aftab Akram; Saqib Anwar
Silicon carbide (SiC) nanoparticles (NP) and/or graphene nanoplatelets (GNP) were incorporated into the aluminum matrix through colloidal dispersion and mixing of the powders, followed by consolidation using a high-frequency induction heat sintering process. All the nanocomposite samples exhibited high densification (> 96 pct) with a maximum increase in Vickers microhardness by 92 pct relative to that of pure aluminum. The tribological properties of the samples were determined at the normal frictional forces of 10 and 50 N. At relatively low load of 10 N, the adhesive wear was found to be the predominant wear mechanism, whereas in the case of a 50 N normal load, there was significant contribution from abrasive wear possibly by hard SiC NP. From wear tests, the values for the coefficient of friction (COF) and the normalized wear rate were determined. The improvement in hardness and wear resistance may be attributed to multiple factors, including high relative density, uniform SiC and GNP dispersion in the aluminum matrix, grain refinement through GNP pinning, as well as inhibition of dislocation movement by SiC NP. The nanocomposite sample containing 10 SiC and 0.5 GNP (by wt pct) yielded the maximum wear resistance at 10 N normal load. Microstructural characterization of the nanocomposite surfaces and wear debris was performed using scanning electron microscope (SEM) and transmission electron microscope (TEM). The synergistic effect of the GNP and SiC nanostructures accounts for superior wear resistance in the aluminum matrix nanocomposites.
Precision Engineering-journal of The International Societies for Precision Engineering and Nanotechnology | 2018
Basem M.A. Abdo; Saqib Anwar; Abdualziz M. El-Tamimi; Abdulrahman Al-Ahmari; Emad Abouel Nasr
The International Journal of Advanced Manufacturing Technology | 2018
Basem M.A. Abdo; Abdulaziz M. El-Tamimi; Saqib Anwar; Usama Umer; Abdulrahman Al-Ahmari; Mageed A. Ghaleb
The International Journal of Advanced Manufacturing Technology | 2018
Saqib Anwar; Naveed Ahmed; Basem M.A. Abdo; Salman Pervaiz; M. A. K. Chowdhury; Abdulrahman Al-Ahmari
Journal of Tribology-transactions of The Asme | 2018
Iftikhar Ahmad; Saqib Anwar; Fang Xu; Yanqiu Zhu
Journal of King Saud University: Engineering Sciences | 2018
Saqib Anwar; Fawaz M. Abdullah; Mohammed Alkahtani; Shafiq Ahmad; Moath Alatefi