Human-centric manufacturing toward Industry 5.0 requires modeling how operator behavior and supervisory governance co-evolve within sociotechnical production environments. This study investigates supervision–compliance synergy (SCS) by formulating …

This research addresses the complexities inherent in grinding operations, aiming to identify the most effective process parameters and predict the behavior of the workpiece surface condition. This task is particularly challenging due to the …

Accurate and stable milling force prediction is the basis for the process parameter optimization in computer numerical control (CNC) milling machining, which has a significant influence on extending tool life, improving machining accuracy, and …

Fused filament fabrication (FFF) is a widely used additive manufacturing technique which, via plastic filament extrusion, fabricates parts via layer-by-layer build-up. Mechanical properties of parts can be optimised by control of print parameters.

In recent years, the demand for electric vehicles (EVs) has increased due to their crucial role in mitigating climate change. Moreover, laser beam welding (LBW) of aluminium alloys has been increasingly adopted in electric vehicle manufacturing …

Supercritical carbon dioxide (scCO₂) is an environmentally friendly coolant in machining, addressing concerns associated with traditional metalworking fluids. In medical component manufacturing, selecting an appropriate coolant is crucial for …

Ternary (TiW)N nitride films were deposited onto cutting tool inserts, SUS 304, and glass substrates by a reactive co-sputtering system. The effect of fabrication parameters (deposition time, N2/(Ar + N2) flow rate, and annealing treatment) on …

Silicon plays a crucial role in the semiconductor industry, since it is an essential material for sensors and microprocessors, as well as in renewable energy technologies such as photovoltaic cells. However, the machining poses challenges due to …

The conventional production of hypereutectic aluminum-silicon alloys (silumins) is economically and environmentally costly due to its reliance on primary silicon. This study presents a sustainable and efficient method for producing these alloys by …

In this paper, the constitutive parameters of the Johnson–Cook (J–C) model for hardened AISI D2 steel (62 HRC) are identified and evaluated for machining applications. The identification is based on stress–strain curves generated by JMatPro over a …

Inconel 718 is a high-performance nickel-chromium alloy recognized for its strength, corrosion resistance, and capability to endure extreme temperatures. It is widely used in demanding industries requiring structural integrity under harsh …

With the accelerated development and production of large equipment, structural components increasingly incorporate large planar features. These components exhibit poor rigidity, and machining-induced disruption of the original residual stress …

Digital Twins (DTs) developed through simulation models have become essential tools for monitoring, optimisation and decision-making in industrial operations. However, as these models remain active throughout the production lifecycle, their …

System integrators (SIers) design and build robotic systems by integrating robotic arms with peripheral devices to perform tasks within specific operational environments. In this context, the reachable workspace of a robot arm is a fundamental …

This study presents an event-driven simulation approach to optimizing the production workflow of plastic component manufacturing using 3D-printing Digital Light Processing (DLP). By combining Business Process Model and Notation (BPMN), empirical …

Nowadays, procurement strategies for complex products rely on a global supply chain dimension. This practice exposes companies to increasing risks of counterfeiting and loss of control across the supply chain, with significant implications for …

Binder jetting of minimally processed, locally sourced sediments offers a promising route toward sustainable additive manufacturing, but powder spreading of poorly sorted, irregular grains remains underexplored. This study uses high-fidelity …

This document presents an innovative method of monitoring the machining process. This method uses acceleration measurement and a hybrid dynamic digital twin brick in conjunction with machine learning algorithms. The aim is to detect and reduce …

Optimizing the welding process is critical in enhancing the weld quality, its efficiency, and cost-effectiveness. The process of finding the optimal weld output, is inherently complex considering interconnected factors. This study explores the …

While main effects of processing parameters on aluminum matrix composite tribology have been extensively studied, interactive effects of reinforcement parameters—which can dominate performance—remain inadequately understood. This research …