Anas Mahmoud Atieh

This study examines the impact of post-weld heat treatment (PWHT) on TIG-welded Inconel 625 alloy. Seven TIG welding passes under pure argon shielding gas were utilized to join 10 mm-thick plates prepared with V-groove edge machining. Welded plates were subsequently sectioned into ASTM E8/E8M-compliant dog bone and disc specimens for mechanical testing. The PWHT involved solution annealing at 1060 °C for 2 h followed by rapid quenching, controlled furnace cooling, and a sub-critical temperature soak at 600–800 °C. Mechanical properties were evaluated through tensile testing, pin-on-disc wear tests, and Vickers microhardness measurements. Scanning Electron Microscopy (SEM) and Energy-Dispersive X-ray Spectroscopy (EDX) analyses of the base and fusion zones revealed dissolution of detrimental Laves and δ phases, a homogenized γ-matrix structure, and restored elemental uniformity. However, previous studies have not clearly connected these microstructural changes to the corresponding mechanical and tribological behavior across different weld zones. Heat-treated samples exhibited consistent hardness, maintained tensile strength, improved ductility, and a significant reduction (15%) in friction coefficient. These enhancements confirm the suitability of optimized thermal cycles for restoring solid-solution strengthening and dimensional stability, making the alloy particularly suitable for demanding aerospace and power generation applications exposed to high temperatures and corrosive environments.

This study investigates the implementation of Industry 4.0 paradigms in the context of smart paint manufacturing, focusing on process control and recipe management through the integration of Ignition SCADA, a Siemens programmable logic controller (PLC), and a MySQL Workbench database. The developed architecture employs Ignition as an interoperable communication interface that facilitates bidirectional data exchange between the PLC and the database, thereby establishing a cyber-physical system for automated monitoring and control. The digital recipe management module formalizes paint formulations into parameterized datasets specifying paint and solvent ingredient ratios, process variables, and operational constraints, which are executed autonomously by the control system to ensure uniformity, traceability, and adaptive process optimization. The simulation framework replicates real-time production dynamics, addressing variability in raw-material supply and process conditions through data-driven feedback mechanisms. The results demonstrate the feasibility of achieving enhanced process efficiency, product quality, and scalability via the convergence of SCADA, PLC, and database technologies within an Industry 4.0 environment. This work contributes to the advancement of smart manufacturing methodologies and provides a replicable model for digital transformation in process industries.

The desire to enhance connectivity and communication while simplifying data used to improve and optimize products and processes has driven many organizations within developed countries to invest heavily in implementing intelligent technologies for manufacturing. These technologies promise to enhance global manufacturing capabilities while sustaining demands by integrating equipment and frameworks in advanced economies for future production systems. On the other hand, many small and medium enterprises (SMEs) within developing countries have shown apprehension and mistrust toward the emerging technologies associated with Industry 4.0. This article provides a comprehensive review of SMEs' readiness within developing countries to implement the novel technologies falling within the Industry 4.0 realm. Such techniques include intelligent manufacturing systems, cyber‐physical systems, and other crucial technological tools for improved connectivity and communication within manufacturing and production systems. Analysis of the literature shows that many SMEs within developing countries are experiencing delays in introducing intelligent manufacturing and digitizing factories due to a lack of knowledge and communication issues. These firms lag in embracing the transformation to equipment and systems that can communicate with future‐oriented technologies and introduce intelligent devices and machines into production processes. This article explores challenges, identifies gaps and suggests the potential solutions to address the readiness of SMEs toward Industry 4.0 in developing countries, through a systematic summary and integrative analysis of the findings from the literature.

This article provides a comprehensive review of the advancements made in the diffusion bonding of titanium and its alloys to other advanced materials such as aluminium, stainless steel, and magnesium. This combination of advanced alloys has received considerable attention in different industries, including aerospace, petrochemical, and nuclear applications due to high specific strength, lightweight, corrosion resistance, and moderate to high mechanical properties. The mechanisms of bond formation are discussed based on the type of microstructures formed and the mechanical properties achieved. The scientific literature identifies various methods/processes for controlling the volume of intermetallic compounds formed within the joint regions, as well as ways of maximising the strength of the weld/joints. This paper discusses the relationship between weld/bond properties and bonding parameters such as time, temperature, surface roughness, pressures, interlayer composition, and thickness. The scientific literature also shows that the bonding mechanisms and microstructural evolution of the bond zone can be significantly affected by suitable optimization of the bonding parameters. Additionally, this is a method of maximising bond strength.

The growing concerns regarding fuel consumption within the aerospace and transportation industries make the development of fuel-efficient systems a significant engineering challenge. Currently, materials are selected because of their abilities to satisfy engineering demands for good thermal conductivity, strength-to-weight ratio, and tensile strength. These properties make magnesium an excellent option for various industrial or biomedical applications, given that is the lightest structural metal available. The utilization of magnesium alloys, however, requires suitable welding and joining processes that minimizes microstructural changes while maintaining good joint/bond strength. Currently, magnesium are joined using; mechanical fastening, adhesive bonding, brazing, fusion welding processes or diffusion bonding process. Fusion welding is the conventional process used for joining similar metals. However, the application of any welding technique to join dissimilar metals presents additional difficulties, the principal one being; the reaction of the two metals at the joint interface can create intermetallic compounds that may have unfavorable properties and metallurgical disruptions which deteriorates the joint performance. This chapter investigates the welding and joining technologies that are currently used to join magnesium alloys with emphasis on the development of multi-material structures for applications in the biomedical industries. Multi-material structures often provide the most efficient design solution to engineering challenges.

The natural vibration behavior of axially functionally graded (AFG) double nanobeams is studied based on the Euler–Bernoulli beam and Eringen’s non-local elasticity theory. The double nanobeams are continuously connected by a layer of linear springs. The oscillatory differential equation of motion is established using the Hamilton’s principle and the constitutive relations. The Chebyshev spectral collocation method (CSCM) is used to transform the coupled governing differential equations of motion into algebraic equations. The discretized boundary conditions are used to modify the Chebyshev differentiation matrices, and the system of equations is put in the matrix-vector form. Then, the dimensionless transverse frequencies and the mode shapes are obtained by solving the standard eigenvalue problem. The effects of the coupling springs, Winkler stiffness, the shear stiffness parameter, the breadth and taper ratios, the small-scale parameter, and the boundary conditions on the natural transverse frequencies are carried out. Several numerical examples were conducted, and the authors believe that the results may be interesting in designing and analyzing double and multiple one-dimensional nano structures.