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M.A. El-Baradie

Bio: M.A. El-Baradie is an academic researcher from Dublin City University. The author has contributed to research in topics: Surface roughness & Laser scanning. The author has an hindex of 8, co-authored 11 publications receiving 989 citations.

Papers
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Journal ArticleDOI
TL;DR: In this article, a general review of their material characteristics and properties together with their machinability assessment when using different cutting tools is presented, and the advantages and disadvantages of different tool materials with regard to the machining Inconel are highlighted.

536 citations

Journal ArticleDOI
TL;DR: In this paper, the results reveal that response surface methodology combined with factorial design of experiments is a better alternative to the traditional one-variable at-a-time approach for studying the effects of cutting variables on responses such as surface roughness and tool life.

201 citations

Journal ArticleDOI
TL;DR: In this article, the development of response models (tool life, surface roughness, and cutting force) for turning inconel 718 utilizing factorial design of experiment and response surface methodology is described.

106 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of the main cutting variables (cutting speed, feed rate, and depth of cut) on tool life have been investigated by the application of the factorial design method.

75 citations

Journal ArticleDOI
TL;DR: In this article, the machinability of machinable glass-ceramic (Macor) in turning operations has been evaluated using uncoated carbide inserts under dry cutting conditions.

62 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, the authors proposed a method for machining aeroengine alloys with improved hardness, such as cubic boron nitride (CBN) tools, for high speed continuous machining.

970 citations

Journal ArticleDOI
TL;DR: In this article, the authors present the various methodologies and practices that are being employed for the prediction of surface roughness, including machining theory, experimental investigation, designed experiments and artificial intelligence (AI).
Abstract: The general manufacturing problem can be described as the achievement of a predefined product quality with given equipment, cost and time constraints. Unfortunately, for some quality characteristics of a product such as surface roughness it is hard to ensure that these requirements will be met. This paper aims at presenting the various methodologies and practices that are being employed for the prediction of surface roughness. The resulting benefits allow for the manufacturing process to become more productive and competitive and at the same time to reduce any re-processing of the machined workpiece so as to satisfy the technical specifications. Each approach with its advantages and disadvantages is outlined and the present and future trends are discussed. The approaches are classified into those based on machining theory, experimental investigation, designed experiments and artificial intelligence (AI).

903 citations

Journal ArticleDOI
TL;DR: In this article, the performance of a multilayer tungsten carbide tool was described using response surface methodology (RSM) when turning AISI 1045 steel.

660 citations

Journal ArticleDOI
TL;DR: In this article, the authors focused on the tool wear characteristics in the machining of nickel-based superalloys, and the state of the art in the fields of failure mechanism, monitoring and prediction, and control of tool wear are reviewed.
Abstract: Nickel-based superalloy is widely employed in aircraft engines and the hot end components of various types of gas turbines with its high strength, strong corrosion resistance and excellent thermal fatigue properties and thermal stability. However, nickel-based superalloy is one of the extremely difficult-to-cut materials. During the machining process, the interaction between the tool and the workpiece causes the severe plastic deformation in the local area of workpiece, and the intense friction at the tool–workpiece interface. The resulting cutting heat coupled with the serious work hardening leads to a series of flaws, such as excessive tool wear, frequent tool change, short tool life, low productivity, and large amount of power consumption etc., in which the excessive tool wear has become one of the main bottlenecks that constraints the machinability of nickel-based superalloys and its wide range of applications. In this article, attention is mainly focused on the tool wear characteristics in the machining of nickel-based superalloys, and the state of the art in the fields of failure mechanism, monitoring and prediction, and control of tool wear are reviewed. The survey of existing works has revealed several gaps in the aspects of tool self-organizing process based on the non-equilibrium thermodynamics, tool wear considering the tool nose radius, thermal diffusion layer in coated tools, tool life prediction based on the thermal–mechanical coupling, and industrial application of tool wear online monitoring devices. The review aims at providing an insight into the tool wear characteristics in the machining of nickel-based superalloys and shows the great potential for further investigations and innovation in the field of tool wear.

409 citations

Journal ArticleDOI
TL;DR: In this article, the state-of-the-art on various surface integrity characteristics during machining of nickel-based super alloys are presented, including surface roughness, defects (surface cavities, metal debris, plucking, smeared material, redeposited material, cracked carbide particles, feed marks, grooves and laps).
Abstract: Nickel-based super alloys are gaining more significance, now-a-days, with extensive applications in aerospace, marine, nuclear reactor and chemical industries. Several characteristics including superior mechanical and chemical properties at elevated temperature, high toughness and ductility, high melting point, excellent resistance to corrosion, thermal shocks, thermal fatigue and erosion are primarily responsible for wide domain of application. Nevertheless, machined surface integrity of nickel-based super alloys is a critical aspect which influences functional performance including fatigue life of the component. This review paper presents state-of-the-art on various surface integrity characteristics during machining of nickel-based super alloys. Influence of various cutting parameters, cutting environment, coating, wear and edge geometry of cutting tools on different features of surface integrity has been critically explained. These characteristics encompass surface roughness, defects (surface cavities, metal debris, plucking, smeared material, redeposited material, cracked carbide particles, feed marks, grooves and laps), metallurgical aspects in the form of surface and sub-surface microstructure phase transformation, dynamic recrystallisation and grain refinement and mechanical characteristics such as work hardening and residual stress. Microstructural modification of deformed layer, profile of residual stresses and their influence on fatigue durability have been given significant emphasis. Future research endeavour might focus on development of new grades, advanced processing techniques of the same to ensure their superior stability of microstructure and thermo-mechanical properties along with advanced manufacturing processes like additive manufacturing to achieve highest level of fatigue durability of safety critical components while maintaining acceptable surface integrity and productivity.

403 citations