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Journal PROCEEDINGS IN MANUFACTURING SYSTEMS |
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ISSN 2343–7472 ISSN-L 2067-9238 |
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Journal PROCEEDINGS IN MANUFACTURING SYSTEMS □
Volume 19, Issue 4, 2024 · Mădălina MULIGA (BADEA), Claudiu-Florinel BÎŞU, Dorel ANANIA, Cristina MOHORA, Dana TILINĂ, The dynamic analysis of a
test bench for wind blade cutting Design and structural analysis of a robotic platform for logistic systems · Corina BOTEZ, Sorin Constantin BOTEZ, George CONSTANTIN, From CNC to AI ‒ major
technological developments shaping the machine tool industry The dynamic
analysis of a test bench for wind blade cutting Mădălina
MULIGA (BADEA)1, Claudiu-Florinel BÎŞU2, Dorel
ANANIA3, Cristina MOHORA4,*, Dana TILINĂ5 1) PhD Student, Robots and Production Systems Department, National
University of Science and Technology POLITEHNICA Bucharest, Romania 2, 3, 5) Assoc. Prof., PhD, Robots and Production Systems
Department, National University of Science and Technology POLITEHNICA
Bucharest, Romania 4) Prof., PhD, Robots and Production Systems Department, National
University of Science and Technology POLITEHNICA Bucharest, Romania Abstract: As wind turbines grow larger and more efficient, sustainable manufacturing methods will play a critical role in the future of renewable energy. Wind turbine blades are exposed to both mechanical and environmental stress, which can cause degradation over time. Rather than replacing them entirely, many blades can be refurbished and put back into service, helping to lower costs and minimize environmental impact. The manufacturing of wind turbine blades involves a variety of composite moulding techniques, each with advantages and trade-offs. Glass Fibber Reinforced Polymer (GFRP) composites are used extensively in the wind industry due to their high strength, low weight and durability. However, the process of cutting these materials presents significant challenges, including delamination, overheating, rapid tool wear and tear, and the generation of toxic dust. The paper studies the possibility of cutting parts from wind turbine blade material after operation ends, for recyclable transformation for other purposes. Due to large dimension of the blade, a flexible system is needed that can be moved and positioned along the blade to cut and drill features of reused part. For this purpose, an industrial robot can be a solution, but along with advantage of flexibility there are some challenges to overcome due to low accuracy of the robot and variable stiffness in the workspace. In this context an experimental setup was developed to determine the optimal parameters for milling such parts. The experimental setup is based on the use of robotic cutting technology and a deeper understanding of the behavior of the robot-cutting tool-part-fixtures-table assembly. A preliminary evaluation of the system and a dynamic characterization study are performed. Key words: wind turbine
blade, industrial robot, milling, natural
frequencies, stiffness.
Design
and structural analysis of a robotic platform for logistic systems Constantin-Adrian POPESCU1*, Tudor George ALEXANDRU2,
Emilia-Maria POPESCU3, Cicerone Laurențiu
POPA4, Cristina-Luciana DUDICI5 1,2,3,5) Lecturer, PhD, Robots and Manufacturing Systems
Dep., National University of Science and Technology POLITEHNICA Bucharest 4) Assoc. Prof., PhD, Robots and Manufacturing Systems Dep., National
University of Science and Technology POLITEHNICA Bucharest Abstract: In the present industrial
context, logistic robotic platforms play a crucial role in automating
material handling, improving efficiency, and reducing operational costs in
warehouses and manufacturing environments. This study presents numerical simulation
and analytical methodologies for evaluating the structural integrity of such
solutions. A simplified model was developed, retaining only the essential
structural components, which were interconnected using constraint equation
rigid elements. Secondary elements were suppressed and accounted for through
0D mass elements, incorporating known mass and moment of inertia properties.
The analysis considered the worst-case scenario, involving maximum
acceleration and payload, combined with swivel plate indexing. Additionally,
the reactions induced by the belt drive were calculated and integrated as
defined loads. Finite element analysis was conducted using ANSYS APDL, with
fringe plots generated for the displacement vector sum. Nodal extractions
were performed to assess the tension and shear loads at critical assembly
junctions. Furthermore, L-type metal structure and bolted assembly evaluation
was completed. All analytical methodologies were implemented in Fortran95
language. The findings provide insights into the platform’s load-bearing
capacity and stress distribution, ensuring its structural integrity. The
results achieved were subsequently employed in the physical prototyping of
the assembly, validating the proposed design and analysis methodologies. Key words: Logistics, Robotics,
Simulation, APDL, Fortran95. From CNC to AI ‒
major technological developments shaping the machine tool industry Corina BOTEZ1, Sorin-Constantin BOTEZ1,
George CONSTANTIN2,* 1) Lecturer, PhD, Graphics Engineering and Industrial Design Department,
POLITEHNICA Bucharest, Romania 2) Prof., PhD, Robots and Manufacturing Systems Department, POLITEHNICA
Bucharest, Romania Abstract: This study explores the transformative evolution of
the machine tool industry over the next decade, with a focus on the
integration of advanced technologies under the Industry 4.0 framework.
Beginning with a global market overview, the article analyzes trends in
market size, regional segmentation, and application-specific growth,
highlighting projections from 2025 to 2035. Core chapters examine the
adoption of smart manufacturing systems,
artificial intelligence (AI), machine learning, additive manufacturing
(3D printing), and CNC automation and robotics in machine tool applications.
Further sections delve into digital twin technologies, predictive
maintenance, and real-world implementations by industry leaders such as
Siemens, Mazak, and DMG Mori. The study also assesses sustainability
concerns, including energy-efficient machine tools, eco-design, and alignment with EU regulations and ESG
strategies. Key barriers to adoption, such as the cost of implementation,
workforce skill gaps, and cybersecurity risks, are critically analyzed. The
article proposes a forecasts for 2035, highlighting expected breakthroughs
and offering strategic recommendations for manufacturers and policymakers to
remain competitive in a rapidly evolving industrial environment. This
comprehensive synthesis aims to inform both academic research and industrial
practice, supporting a more adaptive and innovation-driven manufacturing
sector. Key words: Machine Tool Industry, Industry 4.0, Artificial Intelligence, Machine
Learning, Automation, Robotics, Additive Manufacturing, Digital Twin, Predictive
Maintenance, Market Trends, Global Market Overview, Energy Efficiency,
Eco-Design, ESG Strategies, Cybersecurity.
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