Journal 

PROCEEDINGS IN MANUFACTURING SYSTEMS

 

ISSN 2343–7472

ISSN-L 2067-9238

 

 

 

 

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Journal

PROCEEDINGS

IN MANUFACTURING SYSTEMS

 

Volume 20, Issue 1, 2025

 

                         

·             Alexandra-Anamaria SPIRIDON, Adriana MUNTEANU, Rica BÂZDÂGĂ, Bruno RĂDULESCU, Marius Andrei MIHALACHE, Laurențiu SLĂTINEANU,

                Use of reverse engineering principles to design a twist drill sharpening device

 

·             Veronika IVANOVA, Ani BONEVA,

               Design of a WI-FI-enabled ECG device for telemedicine and ambulatory monitoring in a robotic platform

 

·             Megan ASENOVA and George-Christopher VOSNIAKOS,

               Injection molding process improvement by structured simulation experiments: a case study

 

·             Constantin-Rosmin MANGEAC, George CONSTANTIN,

               Transfer learning and limited data learning techniques applied to autonomous robotics

 

·             Dragoș-Alexandru CAZACU, Teodor-Cristian NAȘU, Mihail HANGA, Carmen-Cristiana CAZACU, Florina CHISCOP,

               Integration of CAD-guided automated insert placement for enhanced 3D printed component assembly

 

 

pp. 03-08             Image_PDF View full text

 

Use of reverse engineering principles to design a twist drill sharpening device

Alexandra-Anamaria SPIRIDON1, Adriana MUNTEANU2, Rica BÂZDÂGĂ3,*, Bruno RĂDULESCU4, Marius Andrei MIHALACHE5, Laurențiu SLĂTINEANU6

 

1) Eng., Department of Digital Production Systems, “Gheorghe Asachi” Technical University of Iași, România

2) Assoc. Prof., PhD,  Department of Digital Production Systems, “Gheorghe Asachi” Technical University of Iași, România

3) Eng., Department of Machine Manufacturing Technology, “Gheorghe Asachi” Technical University of Iași, România

4) Lecturer, PhD,  Department of Digital Production Systems, “Gheorghe Asachi” Technical University of Iași, România

5) Assoc. Prof., PhD,  Department of Machine Manufacturing Technology, “Gheorghe Asachi” Technical University of Iași, România

6) Prof., PhD, Department of Machine Manufacturing Technology, “Gheorghe Asachi” Technical University of Iași, România

 

Abstract: The sharpening of twist drills is an important issue for ensuring optimal performance in the exploitation of these categories of tools. The study of the specialized literature highlighted the existence of distinct methods and equipment currently used for sharpening twist drills. It was found that by using principles of the reverse engineering method it is possible to identify innovative solutions that would ensure the necessary conditions for the correct sharpening of the twist drills in small mechanical workshops, which do not have specialized sharpening machines. A solution for a sharpening device was proposed, based on obtaining a cylindrical shape of the drill tooth flank. The possibility of using the device on a universal lathe was considered. The manufacturing of the device and the performance of preliminary experimental tests confirmed the possibilities of using the proposed device for sharpening twist drills.

 

Key words: twist drill, sharpening, reverse engineering, cylindrical surface, adaptable device on universal lathe.

 

 

pp. 09-16              Image_PDF View full text

 

Design of a WI-FI-enabled ECG device for telemedicine and ambulatory monitoring in a robotic platform

 

Veronika IVANOVA1,*, Ani BONEVA2

 

1, *) Assist. Prof. PhD, Eng. Department of Robotized and Mechatronics Intelligent Systems, Institute of Robotics - Bulgarian Academy of Sciences, Sofia, Bulgaria

2) Eng., Department of Communication and Computer Systems, Institute of Information and Communication Technologies – Bulgarian Academy of Sciences, Sofia, Bulgaria

 

 

Abstract: This article presents a robotic platform integrated with a Wi-Fi-enabled ECG device designed for telemedicine and ambulatory monitoring. The advancement of portable and wearable ECG monitoring systems remains a key focus in the development of health-related technologies. An ECG device is a critical medical tool used to record the electrical activity of the heart over a specified period, playing a vital role in diagnosing heart diseases and monitoring cardiovascular health. Our objective is to develop a new generation of robotic tools that enhance healthcare and patient management. Specifically, we aim to design an innovative Wi-Fi-enabled ECG device for non-invasive heart rhythm monitoring, capable of receiving, storing, visualizing, and transmitting high-quality electrocardiographic signals remotely. This device enables comprehensive ECG analysis and continuous patient monitoring while seamlessly integrating with other diagnostic and therapeutic functions within the robotic platform's operational framework. A key feature of the proposed device is its ability to detect and promptly alert users to abnormal heart rhythms, making it highly effective for telemedicine and ambulatory care. One of its most notable innovations is the incorporation of the MAX30003 chipset, which facilitates real-time ECG monitoring in portable and wearable systems suitable for both remote medical consultations and personal health tracking. Looking ahead, the system is designed to evolve toward autonomous functionality. Unlike other similar devices, innovative solutions related to the construction and connections of the ECG with the Robotic System are presented here. The research team has extensive experience in surgical robotics, and this development builds upon previous work in the field.

 

Key words: Wireless ECG Device, Portable Monitoring Devices, Robotics, Surgical Robotics, Health Monitoring.

 

 

pp. 17-22              Image_PDF View full text

 

Injection molding process improvement by structured simulation experiments: a case study

 

Megan ASENOVA1 and George-Christopher VOSNIAKOS2,*

 

1) MSc graduate student, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece

2) Prof., PhD, Manufacturing Technology Laboratory, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece.

 

Abstract: Analysis of injection molding of a food packaging container cover through a finite number of simulation runs is presented. Firstly, simulation of the product was set up on Moldex3DTM software, by a ‘screening’ round of simulation experiments replicating the actual process conditions and matching the process metrics in the injection and packing phases, including the emergence of air traps and the lack of sink marks. In this way, the simulation model was validated. In addition, the degree of influence of each process parameter on the final result was investigated by ANOVA. Based on these insights, Taguchi DoE was implemented on the simulation model aiming at achieving the desired part weight and the minimum clamping force. The best combination of the main process control parameters was obtained highlighting the role of the melt temperature and the Material Flow Index.

 

Key words: injection molding, thin wall; melt temperature, MFI, part weight, clamping force.

 

 

pp. 23-33              Image_PDF View full text

 

Transfer learning and limited data learning techniques applied to autonomous robotics

 

Constantin-Rosmin MANGEAC1,*, George CONSTANTIN2

 

1) PhD Student, Doctoral School of Industrial Engineering and Robotics, POLITEHNICA Bucharest, Romania

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

 

Abstract: This study reviews recent developments in the field of transferable learning, with direct applicability to autonomous robotics. Through a comparative approach, the paper reviews the conceptual and methodological foundations, highlighting how few-shot and zero-shot learning techniques support the adaptability of robots to novel tasks under data-limited conditions. Relevant applications ‒ ranging from navigation and manipulation to human-robot interaction ‒ are discussed, illustrating the capabilities of these methods. The study also identifies a number of major constraints that prevent the widespread adoption of these techniques and provides recommendations for future research oriented towards transfer scenarios from a simulated environment to reality and between robotic platforms with different kinematics.

 

Key words: Mobile robot, Transfer learning (TL), Few-Shot Learning (FSL), Zero-Shot Learning (ZSL), Learning by demonstration (LfD), Artificial neural network (ANN), Reinforcement Learning (RL), Autonomous robotics, Collaborative robot, Autonomous navigation.

 

 

pp. 35-41              Image_PDF View full text

 

Integration of CAD-guided automated insert placement for enhanced 3D printed component assembly

 

Dragoș-Alexandru CAZACU1,*, Teodor-Cristian NAȘU2, Mihail HANGA3,

Carmen-Cristiana CAZACU4, Florina CHISCOP4

 

1) Eng., PhD, Education Team, PTC Eastern Europe SRL, Bucharest, Romania,

2) Student, Industrial Engineering and Robotics Fac, National University of Science and Technology POLITEHNICA Bucharest, Romania,

3) Master Student, Industrial Engineering and Robotics Fac., National University of Science and Technology POLITEHNICA Bucharest, Romania,

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

 

Abstract: The paper presents an automated system for embedding brass threaded inserts into 3D-printed parts, reducing the variability of manual methods (misalignment, insufficient heating, excessive force) and the limitations of directly printed small threads (M4 and below). Target applications include rapid prototyping, low-volume production, and functional parts in aerospace and automotive sectors, where reliable joints enable repeated assembly. The device reads insert coordinates from Onshape (Parametric cloud CAD) via mate connectors (custom orientation systems in Onshape), ensuring faithful design-to-execution transfer. Its kinematics use a compact H-structure with a single-belt XY stage driven by stepper motors, plus a four-screw Z axis for uniform vertical motion and high stiffness. Inserts are automatically fed from a gravity tube through a servo-actuated lever and separator, then embedded with a heated tool head monitored by a thermocouple—tuned to 225 °C for PLA and 265 °C for ABS. A capacitive touch sensor provides real-time depth control (6 mm for M3, 8 mm for M4), while an inverted vise secures the workpiece above the tool head for optimal access. Integrating CAD data with Python motion-control scripts yields a low-operator workflow that improves repeatability and scalability. Tests on 3D printed parts of PLA and ABS with 3 to 6 perimeters show positional accuracy of ±0.05–0.07 mm, cycle times of 3.8–4.6 s per insert, and repeatability with 0.025–0.035 mm standard deviation—improving efficiency over manual methods by 73–75%. Thanks to modular design, compatibility with standard CAD platforms, and potential for adaptive tool heads, the system is well-suited for integration into automated additive-manufacturing post-processing lines and broader industrial adoption.

 

Key words: 3D Printing, Threaded Inserts, CAD, Automation, Precision, Brass, Motion, Bonding.

 

 

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