Results 11 to 20 of about 3,352 (54)
Imaging systems and techniques for fusion-based metal additive manufacturing: a review
This study presents an overview and a few case studies to explicate the transformative power of diverse imaging techniques for smart manufacturing, focusing largely on various in-situ and ex-situ imaging methods for monitoring fusion-based metal additive
Himanshu Balhara +4 more
doaj +1 more source
A pricing model to monetize your industrial data
Data monetization (DM) has become a relevant aspect of the industrial manufacturing. Consequently, this paper proposes a theoretical framework as well as a mathematical model to price industrial data.
Gorka Mendizabal-Arrieta +2 more
doaj +1 more source
One of the greatest challenges in creating effective decision-making systems for connected enterprises is the management of cross-domain information.
Michela Magas +5 more
doaj +1 more source
Dynamic project planning with digital twin
The digital twin (DT) concept plays a crucial role in Industry 4.0 and the digitalization of manufacturing processes. A DT is a virtual representation of a physical object, system, or process, designed to accurately reflect its real-world counterpart. In
Silvan Zahno +8 more
doaj +1 more source
Addressing the challenges of data scarcity and privacy, synthetic data generation offers an innovative solution that advances manufacturing assembly operations and data analytics.
Vishnupriya Buggineni +2 more
doaj +1 more source
Zero-defect manufacturing terminology standardization: Definition, improvement, and harmonization
Zero-Defect Manufacturing (ZDM) is the next evolutionary step in quality management for manufacturing that makes use of Industry 4.0 technologies to support quality in manufacturing.
João Sousa +9 more
doaj +1 more source
Forecasting models analysis for predictive maintenance
IntroductionThis study explores the shift toward predictive maintenance through real-time data analytics to minimize machine downtime and improve machinery insights in industrial environments. Predictive maintenance aims to enable proactive interventions
Marco Belim +3 more
doaj +1 more source
This study explores the intricate factors affecting the fatigue life of steam turbine blades, encompassing steam flow-induced bending, centrifugal loading, vibration response, structural mistuning, and temperature-dependent influences. By focusing on the
Makgwantsha Hermelton Mashiachidi +1 more
doaj +1 more source
Increasing resilience of material supply by decentral urban factories and secondary raw materials
Current production processes are frequently dependent on global supply chains for raw materials and prefabricated inputs. With rising political and global risks, these supply networks are threatened, which leads to a reduction of supply chain resilience.
K. Meyer +5 more
doaj +1 more source
Anomaly detection in automated fibre placement: learning with data limitations
Introduction: Conventional defect detection systems in Automated Fibre Placement (AFP) typically rely on end-to-end supervised learning, necessitating a substantial number of labelled defective samples for effective training.
Assef Ghamisi +6 more
doaj +1 more source

