The single point incremental forming (SPIF) process is most suitable for producing custom-made parts and prototyping. The absence of a die, as used in conventional forming, minimizes the cost and enhances the flexibility of SPIF. On the other …

In the domain of casting process optimization, addressing shrinkage porosity and air entrainment defects in vertical centrifugal casting is critical because these defects significantly impact the mechanical properties, strength, and quality of …

Metal matrix composites (MMCs) have gained considerable attention in the aerospace sector due to their advantageous mechanical properties. This review provides a comprehensive summary of research focused on MMC manufacturing techniques …

In consideration of the inherent uncertainties and shorter product life cycles in the chemical industry, companies are developing flexible modular production systems. Such systems promise to reduce the time required for planning and facilitate …

The rapid advancements in 3D printing technologies have significantly reshaped the manufacturing landscape, enabling highly customized and efficient production processes. However, selecting the most appropriate 3D printing technology for custom …

The application of optical image stabilization (OIS) systems in camera modules is becoming increasingly widespread, with higher precision requirements for OIS components. Current research has primarily focused on the warpage of plastic parts …

With the development of artificial intelligence technology, mobile robots have become a popular research direction. As one of the basic technologies for robot navigation, path planning occupies an important position in the field of robot research.

In this work, the stir casting route has been used to fabricate biocompatible hybrid metal matrix composites containing AZ31 magnesium alloy as matrix and aluminium oxide nanoparticles (2 wt.% Al2O3) and silicon nitride microparticles (2, 4, or 6 …

This study presents a novel hybrid Bayesian-optimized CNN–SVM deep learning model for real-time surface roughness classification and prediction based on in-process machined surface image analysis. The hybrid deep learning model, achieves …

Carbon footprint in industry represents a major challenge toward limiting global warming and staying in line with governments’ policies regarding CO2 emissions. Therefore, urgent actions are required to comply with such requirements, consequently …

The scope of this study is to perform an economic analysis of a food system—a milling plant—through the Life cycle costing (LCC) approach. To be more precise, this paper illustrates the evaluation of the total cost of a stainless steel rollermill …

There exist multiple techniques to enhance the lift production as well as overall performance and efficiency of an airfoil, co- flow jet being one of them. This approach involves creating an injection slot near the front edge, through which a jet …

In metal forging, Computer-Aided Design (CAD) and Computer-Aided Engineering (CAE) are essential for creating accurate digital models and conducting numerical simulations aimed at improving product performance and quality, as well as reducing …

Laser welding technology is a high-precision welding technique, but it has high energy consumption and significant environmental pressure during operation. This study designs a carbon emission calculation model for the laser welding system …

The Machine scheduling problems are solved to optimize the objectives of material flow time which depends upon processing time, setup time and material handling time. In flexible manufacturing system, automated guided vehicles (AGV) are used for …

In order to adapt to the continuously changing product demands, enterprises often need to rearrange the equipment of assembly lines to produce different products, which increases the cost the production. To solve the challenge, we propose a …

The present study investigates the effect of geometric parameters on tensile properties of hybrid star-re-entrant auxetic (SRA) structure fabricated by fused filament fabrication (FFF) technique of additive manufacturing. Geometric parameters …

In recent years, significant strides in technological advancement have revolutionized our lifestyles, driving a surge in demand for multifunctional and intelligent materials. Among these materials, Shape Memory Alloy (SMA) stands out for its …

This study explores the potential of using vegetable oil enhanced with nanoparticles as a metalworking fluid. Various alumina concentrations (0–1%) were mixed into sunflower oil, and thermo-physical properties analysis was used to identify the …

To enhance the quality of injection molded products and refine the injection molding process parameters, a hybrid algorithm combining Genetic Algorithm (GA), Support Vector Regression (SVR), and Particle Swarm Optimization (PSO) was introduced. In …