Sergiu PASCU, Alexandru HARFAS, Nicolae BALC


This article presents the concept and execution of a Flexible Hybrid Manufacturing System (FHMS). FHMS represents an innovative approach to manufacturing, combining traditional and digital manufacturing technologies to enable efficient and flexible production of a wide range of products. The article details the concept of conceptual system design, including the identification and selection of appropriate technologies, integration of hardware and software components, and assembly of a manufacturing system prototype. A practical example of implementing an FHMS prototype is also presented, highlighting the benefits and challenges associated with this type of advanced manufacturing system. The article highlights the importance of FHMS’s adaptability and flexibility, highlighting its potential to increase efficiency, quality, and competitiveness in manufacturing. The aim of the study is to contribute to the expanding body of knowledge on hybrid manufacturing systems and to provide specialists, engineers, and those involved in innovative manufacturing processes with information that they can utilize.

Full Text:



G. Q. Zhang et al., Use of Industrial Robots in Additive Manufacturing - A Survey and Feasibility Study," ISR/Robotik 2014, 41st International Symposium on Robotics, Munich, Germany, 2014, pp. 1-6.

Mikell P.G., Fundamentals of modern manufacturing: materials, processes, and systems,4th ed. John Wiley & Sons, 2010.

Li, H., Wu, G., Enhancing productivity in manufacturing centers with hybrid manufacturing equipment. Computers in Industry, 89, 124-139, 2017.

R. Anitha, S. Arunachalam, Critical parameters influencing the quality of prototypes in fused deposition modeling, Process. Technol., 118(1–3) 385–388, 2001.

Pascu S., Pop A., Balc N., Design and Development of SP Hybrid Manufacturing Prototype combining 3D printing and CNC Milling,2023.

Pascu S., Pop A., Balc N., Optimization of hybrid manufacturing process parameters, to minimize surface roughness and material usage, with an integrated artificial neuronal linear network model,2023.

Konakalla N. S. A., Vaitla R., Pothamsetty K. V., Design and selecting the proper of Conveyor Belt, Science, and Education Jurnal Volume 3, Issue 3,2022.

Jaroslav S., Roman P., Pavel B., MiloŜ S., Raspberry Pi and Arduino boards in control education, Volume 46, Issue 17, Pages 7-12, April-June20.


  • There are currently no refbacks.