Journal 

PROCEEDINGS IN MANUFACTURING SYSTEMS

 

ISSN 2343–7472

ISSN-L 2067-9238

 

 

 

 

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PROCEEDINGS

IN MANUFACTURING SYSTEMS

 

Volume 20, Issue 4, 2025

 

 

·          Andrei Daniel SCARLAT, Lidia Florentina PARPALA, Cicerone Laurentiu POPA, Radu Constantin PARPALA, Costel Emil COTET,

            Optimising material flow through virtual prototyping: a discrete-event simulation approach

 

·          Aurelian IONESCU, Robert PATRASCOIU, Alexandra CANA, Andrei IANCU,

            EPICS-based integration of PLC safety systems for a digital twin implementation

 

·          Elena BALAȘ, Cristina MOHORA, Dana TILINÃ,

            Knowledge management in the design of a complex industrial product

 

·          Sorin-Constantin BOTEZ, Corina BOTEZ, George CONSTANTIN,

            Numerical assessment of the structural integrity of UAV shafts reconditioned by thermal spraying

 

 

 

 

pp. 133-144        Image_PDF View full text

 

 

Optimising material flow through virtual prototyping: a discrete-event simulation approach

 

Andrei Daniel SCARLAT1,*, Lidia Florentina PARPALA2, Cicerone Laurentiu POPA3, Radu Constantin PARPALA3, Costel Emil COTET4

 

1) PhD Student, Robots and Manufacturing Systems Dep., National University of Science and Technology POLITEHNICA Bucharest, Romania

2) Lecturer, PhD, Robots and Production Systems Dep., National University of Science and Technology POLITEHNICA Bucharest, Romania

3) Assoc. Prof., PhD, Robots and Production Systems Dep., National University of Science and Technology POLITEHNICA Bucharest, Romania

4) Prof., PhD, Robots and Production Systems Dep., National University of Science and Technology POLITEHNICA Bucharest, Romania

 

Abstract: The escalating demand for enhanced process efficiency and production adaptability in the manufacturing sector has catalysed the adoption of virtual prototyping and discrete-event simulation (DES) for optimising material flow prior to physical implementation. This paper delineates a simulation-centric methodology developed to analyse and improve the architecture of a beverage packaging line. The constructed virtual prototype accurately mirrors the entire production system, encompassing depalletising, filling, packaging, palletising, and wrapping, thereby serving as a digital testbed for evaluating various optimisation scenarios. A series of experiments was conducted to diagnose and investigate various optimisation scenarios based on cycle-time reduction, buffer expansion, and parallel machine configurations on overall system throughput. Findings reveal that a moderate enhancement at the bottleneck station—specifically, a 10% reduction in Modulfiller cycle time—resulted in a 7% increase in output. Conversely, excessive local acceleration or attempts to speed up downstream processes led to diminishing returns. These results underscore the efficacy of DES-based virtual prototyping in facilitating low-risk evaluations of process improvement strategies and establishing a robust framework for future Digital Twin integration.

 

Key words: Discrete-event simulation, Virtual prototyping, Material flow optimization, Bottleneck analysis, Witness Horizon, Smart manufacturing.

 

 

pp. 145-151         Image_PDF View full text

 

EPICS-based integration of PLC safety systems for a digital twin implementation

 

Aurelian IONESCU1,*, Robert PATRASCOIU2, Alexandra CANA3, Andrei IANCU4

 

1) PhD Student, Eng, Doctoral School of Industrial Engineering and Robotics, National University of Science and Technology POLITEHNICA Bucharest, Romania

2) PhD Student, Eng, Gamma System Dep, ELI-NP, Magurele, Romania

3) Student, Eng, Gamma System Dep, ELI-NP, Magurele, Romania

4) Student, Eng, Gamma System Dep, ELI-NP, Magurele, Romania

 

Abstract: This paper presents a compact Digital Twin architecture for PLC-based safety systems, implemented at the ELI-NP LINAC Gamma Beam System (GBS). The Machine Protection System (MPS) and Personnel Protection System (PPS) are implemented on Siemens S7-1500 PLCs and must ensure high reliability, short reaction times and full traceability of safety events. To integrate these safety systems into the facility-wide EPICS environment, a layered data chain is implemented: Siemens S7-1500 → s7nod driver → EPICS IOC → EPICS Archiver Appliance → Grafana. The PLC executes the safety logic and acquires process signals (vacuum, cooling temperature and flow, access status), while EPICS exposes these internal variables as Process Variables (PVs) for monitoring, archiving and visualisation. The paper summarises the configuration of the ISO-on-TCP link between PLC and EPICS, mapping of PLC memory into PV records, and use of Archiver Appliance and Grafana for real-time and historical analysis. A Hardware-in-the-Loop (HIL) case study on a Mydax precision chiller shows how the Digital Twin is used to validate the cooling subsystem behaviour and safety reactions. The proposed architecture provides a compact, extensible solution for Digital Twin-based monitoring and safety system testing..

 

Key words: Digital Twin, EPICS, PLC Siemens S7-1500, safety interlocks, Archiver Appliance, Grafana, Hardware-in-the-Loop.

 

 

pp. 153-160         Image_PDF View full text

 

 

Knowledge management in the design of a complex industrial product

 

Elena BALAȘ1, Cristina MOHORA2,*, Dana TILINÃ3

 

1) PhD Student, Doctoral School of Industrial Engineering, National University of Science and Technology POLITEHNICA, Bucharest, Romania

2) Prof., PhD, Robots and Manufacturing Dep., National University of Science and Technology POLITEHNICA, Bucharest, Romania

3) Assoc. Prof., PhD, Robots and Manufacturing Dep., National University of Science and Technology POLITEHNICA, Bucharest, Romania

 

Abstract: Digital transformation increases the complexity of industrial product design by amplifying information flows, interdependence and coordination requirements between multidisciplinary engineering teams. In this context, knowledge management (KM) represents a critical organizational capability for capturing technical expertise, structuring information and ensuring efficient collaboration throughout the entire product lifecycle. This paper examines KM in the design of complex industrial products, with a particular focus on Product Lifecycle Management (PLM) systems and organizational conditions that influence knowledge reuse and decision consistency. An exploratory study combines a focused literature review with industrial evidence collected via semi-structured interviews (12 experts in design, validation, quality and PLM administration) and a survey of 48 practitioners from automotive and discrete manufacturing functions. The collected qualitative and quantitative data were synthesized using the Ishikawa cause–effect diagram to systematically identify and classify the root causes of inefficiencies related to knowledge flows in industrial product design. The results highlight that information fragmentation across teams, insufficient codification of tacit expertise and persistent communication barriers are the main factors limiting performance, leading to duplicated work, delays and decision-making inconsistencies. When supported by standardized capture routines and continuous training, PLM improves transparency, traceability and error reduction. The paper proposes an integrated improvement approach combining PLM-linked collaboration, formalized knowledge capture at project gates, and leadership-supported cultural change.

 

Key words: knowledge management; complex industrial products; industrial engineering; PLM; Ishikawa diagram; digital transformation.

 

 

pp. 161-174         Image_PDF View full text

 

Numerical assessment of the structural integrity of UAV shafts reconditioned by thermal spraying

 

Sorin-Constantin BOTEZ1,*, Corina BOTEZ2, George CONSTANTIN3

 

1, 2) Lecturer, PhD, Graphics Engineering and Industrial Design Department, POLITEHNICA Bucharest, Romania

3) Prof, PhD, Robots and Manufacturing Systems Department, POLITEHNICA Bucharest, Romania

 

Abstract: The present study investigates the structural behavior of unmanned aerial vehicle (UAV) shafts reconditioned through thermal spray coatings, with emphasis on stress distribution and integrity under operational loading conditions. UAV shaft components are subjected to combined axial, torsional, and bending loads, leading to progressive surface degradation and potential failure in critical regions. Thermal spraying represents an efficient reconditioning technique; however, the addition of a coating layer alters the mechanical response of the component, particularly at geometric discontinuities. A three-dimensional finite element model was developed to simulate the mechanical response of coated shafts, incorporating both substrate and coating material properties. The analysis considers realistic service loads and focuses on key geometric parameters, including shaft diameter, fillet radius, and coating thickness. A simulation plane of 9 tests was employed to evaluate the influence of these parameters on stress distribution in critical regions, namely the frontal area, cylindrical section, and fillet zone. The results demonstrate that the fillet radius is the most influential parameter governing stress concentration, while coating thickness significantly affects stress redistribution, especially at the coating–substrate interface. Higher stiffness coatings tend to shift stress concentrations toward the interface, whereas lower stiffness coatings exhibit elevated stress levels within the coating layer. Although no statistically significant effects were identified due to limited dataset size, consistent trends indicate the dominant role of geometric parameters in controlling stress behavior. The findings provide valuable guidelines for the design and optimization of reconditioned UAV shafts, highlighting the necessity of balancing coating thickness and geometric features to minimize stress concentrations and ensure structural reliability.

 

Key words: UAV shafts, thermal spraying, finite element analysis, structural integrity, stress concentration, coating thickness, fillet radius.

 

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