Antonio Pucciarelli | Engineering | Best Researcher Award

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Best Researcher Award

Antonio Pucciarelli
SoftInWay Inc, Italy

Antonio Pucciarelli
Affiliation SoftInWay Inc.
Country Italy
Scopus ID 36874499500
Documents 2
Citations 18
h-index 2
Subject Area Engineering
Event Top Teachers Awards

Antonio Pucciarelli is a researcher whose scholarly work has contributed to the understanding of cardiovascular pharmacology and the metabolic consequences of antihypertensive therapies. His documented scientific output reflects engagement with multidisciplinary investigations involving cardiovascular medicine, metabolic regulation, and clinical research. Through collaborative publications and participation in peer-reviewed scientific studies, Pucciarelli has contributed to evidence-based discussions concerning patient outcomes and therapeutic interventions in essential hypertension.[1]

Abstract

This article evaluates Antonio Pucciarelli’s academic contributions in relation to the Best Researcher Award. His publication record demonstrates participation in clinically relevant investigations focusing on cardiovascular pharmacology and metabolic outcomes associated with antihypertensive treatment. The assessment considers publication activity, scholarly influence, collaborative research efforts, and relevance to contemporary healthcare challenges.[2]

Keywords

Cardiovascular Pharmacology, Essential Hypertension, Metabolic Effects, Clinical Research, Engineering, Scientific Contributions, Research Excellence, Best Researcher Award.

Introduction

Research addressing cardiovascular disorders remains a significant component of modern healthcare innovation. Antonio Pucciarelli’s work is associated with investigations examining how combined antihypertensive therapies influence metabolic responses in patients diagnosed with essential hypertension. Such studies contribute to a broader understanding of treatment optimization and patient-centered clinical decision-making.[3]

Research Profile

According to available scholarly metrics, Antonio Pucciarelli has an indexed publication profile with documented citations and measurable academic influence. His work appears within peer-reviewed scientific literature and demonstrates engagement with interdisciplinary collaborations involving clinicians, pharmacologists, and biomedical researchers.[1]

Research Contributions

  • Contributed to studies evaluating metabolic effects of antihypertensive treatment strategies.
  • Participated in collaborative cardiovascular pharmacology research.
  • Supported evidence-based assessment of therapeutic outcomes in hypertension management.
  • Contributed to scientific literature relevant to patient care and treatment optimization.

Publications

  • Galvan AQ, Pucciarelli A, Ciociaro D, Natali A, Ferrannini E. Metabolic effects of combined antihypertensive treatment in patients with essential hypertension. Journal of Cardiovascular Pharmacology, 2002.[4]
  • Additional indexed scholarly contributions reflected within the Scopus author profile.[1]

Research Impact

The measurable citation record associated with Pucciarelli’s publications indicates continued scholarly engagement with his work. Research concerning hypertension and metabolic health remains relevant to healthcare systems worldwide, enhancing the practical significance of studies addressing therapeutic effectiveness and patient outcomes.[5]

Award Suitability

Antonio Pucciarelli demonstrates characteristics commonly considered in academic recognition programs, including participation in peer-reviewed research, documented citation activity, interdisciplinary collaboration, and contributions to clinically relevant scientific knowledge. These attributes align with evaluation criteria frequently applied to research excellence awards and scholarly achievement recognitions.[6]

Conclusion

Antonio Pucciarelli’s scholarly contributions, particularly within cardiovascular pharmacology and hypertension-related research, provide a foundation for consideration in the Best Researcher Award category. His participation in peer-reviewed investigations and documented academic impact support recognition of his role in advancing scientific understanding within his field.

References

  1. Elsevier. (n.d.). Scopus author details: Antonio Pucciarelli, Author ID 36874499500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=36874499500
  2. Research assessment methodologies and scholarly impact indicators used in academic evaluation.
  3. Journal of Cardiovascular Pharmacology. (2002). Metabolic effects of combined antihypertensive treatment in patients with essential hypertension.
  4. Galvan AQ, Pucciarelli A, Ciociaro D, Natali A, Ferrannini E. (2002). Journal of Cardiovascular Pharmacology.
  5. Literature concerning hypertension management, cardiovascular outcomes, and metabolic health.
  6. Top Teachers Awards. (n.d.). Award evaluation and recognition framework.
    topteachers.net

Seyyedmorteza Ghamari | Engineering | Best Researcher Award

Published on by Top Teachers

Best Researcher Award

Seyyedmorteza Ghamari
Edith Cowan University

Seyyedmorteza Ghamari
Affiliation Edith Cowan University
Country Australia
Scopus ID 57220131139
Documents 32
Citations 645
h-index 15
Subject Area Engineering
Event Top Teachers Awards
Google Scholar ID IUT6xloAAAAJ

Seyyedmorteza Ghamari is an engineering researcher affiliated with Edith Cowan University, Australia, whose scholarly activities focus on intelligent control systems, power electronics, electric vehicle technologies, machine learning applications, and advanced optimization methodologies. His body of work demonstrates sustained contributions to robust controller design, adaptive control frameworks, reinforcement learning integration, and hardware-in-the-loop validation techniques for industrial and energy applications.[1] Through a combination of theoretical development and practical implementation, his research addresses challenges related to efficiency, stability, and reliability in modern electrical and electromechanical systems.[2]

Abstract

This article presents an overview of the academic achievements and research contributions of Seyyedmorteza Ghamari. His research portfolio emphasizes intelligent control systems for power electronics, electric drives, and energy conversion technologies. Through the integration of transfer learning, reinforcement learning, fractional-order control, optimization algorithms, and hardware validation methodologies, he has contributed to the advancement of reliable and adaptive engineering solutions.[3]

Keywords

Power Electronics, Intelligent Control Systems, Reinforcement Learning, Transfer Learning, Electric Vehicles, Brushless DC Motors, Optimization Algorithms, Engineering Research.

Introduction

The increasing complexity of modern energy systems has created demand for adaptive and intelligent control strategies. Researchers in this field seek solutions capable of maintaining stability and efficiency under varying operating conditions. Seyyedmorteza Ghamari’s research addresses these challenges through innovative control architectures that combine artificial intelligence techniques with advanced engineering principles.[2]

Research Profile

According to available scholarly metrics, Ghamari has produced 32 indexed publications, accumulated approximately 645 citations, and achieved an h-index of 15. His research activities span engineering disciplines involving power conversion systems, motor control, adaptive algorithms, optimization techniques, and machine learning-assisted control design.[1]

Research Contributions

  • Development of hybrid deep quantum-transfer learning controllers for DC-DC boost converters.
  • Integration of Grey Wolf Optimization and reinforcement learning algorithms into adaptive control frameworks.
  • Advancement of fractional-order super-twisting sliding mode control methodologies.
  • Hardware-in-the-loop validation of power electronic systems and electric vehicle applications.
  • Design of robust cascade controllers for brushless DC motor speed regulation and power factor correction systems.

Publications

  • A Universal Hybrid Model-Free Deep Quantum–Transfer Learning Controller Enhanced By Grey Wolf Optimization for DC–DC Boost Converters With Hardware-in-Loop Validation (2026).
  • A Novel Hybrid Robust Transfer Learning-Based Adaptive Fractional-Order Super-Twisting Sliding Mode Controller for Brushless DC Motors (2026).
  • Deep Transfer Learning-Based Adaptive Cascade PI Controller Enhanced by Reinforcement Learning and Snake Optimization (2026).
  • Robust Cascade Fractional-Order PI-Sliding Mode Controller for Boost Rectifier Power Factor Correction (2025).
  • Adaptive Cascade Fractional-Order PID Controller Enhanced by Reinforcement Learning for Speed Regulation (2025).

Research Impact

The research impact of Ghamari is reflected in citation performance, publication activity, and the practical relevance of his engineering solutions. His studies contribute to the growing body of literature on intelligent control systems while providing experimentally validated approaches applicable to renewable energy systems, electric vehicles, and industrial automation.[4]

Award Suitability

Based on documented publication output, citation metrics, and demonstrated innovation in engineering research, Seyyedmorteza Ghamari presents a strong profile for consideration within the Best Researcher Award category at the Top Teachers Awards. His work illustrates a commitment to methodological rigor, interdisciplinary innovation, and real-world applicability, characteristics commonly associated with scholarly excellence and research leadership.[5]

Conclusion

Seyyedmorteza Ghamari has established a notable research profile through contributions to advanced control systems, power electronics, and intelligent engineering methodologies. His scholarly output, citation record, and focus on experimentally validated innovations support recognition within competitive research award programs and demonstrate ongoing contributions to engineering science.[6]

References

  1. Elsevier. (n.d.). Scopus author details: Seyyedmorteza Ghamari, Author ID 57220131139. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57220131139
  2. Ghamari, S.M., Aziz, A. (2026). Hybrid Deep Transfer Learning Controllers for Power Electronics Applications.
  3. IET Power Electronics. (2026). Deep Quantum–Transfer Learning Controller Enhanced by Grey Wolf Optimization.
  4. IEEE Conference Proceedings. (2025). Power Factor Correction and Hardware-in-the-Loop Validation for Electric Vehicles.
  5. Ghamari, S.M., Ghahramani, M., Habibi, D., Aziz, A. (2025). Energies, 18(19), 5056
  6. Top Teachers Awards. (n.d.). Best Researcher Award Evaluation Framework and Recognition Criteria.
    topteachers.net

Ziyoda Adilova | Engineering | Innovative Research Award

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Innovative Research Award

Ziyoda Adilova
Tashkent State Transport University, Uzbekistan
Ziyoda Adilova
Affiliation Tashkent State Transport University
Country Uzbekistan
Scopus ID 57192575499
Documents 30
Citations 131
h-index 7
Subject Area Engineering
Event Top Teachers Awards
ORCID 0000-0002-1825-2447
Google Scholar m5hPvtMAAAAJ

Ziyoda Adilova is an Uzbek engineering researcher and academic affiliated with Tashkent State Transport University. Her scholarly work focuses on railway transport systems, freight transportation, railcar dynamics, maintenance optimization, transport logistics, and railway safety engineering. Through research on dynamic modelling, service-life extension technologies, and freight transport innovations, she has contributed to the advancement of transportation engineering and railway operational efficiency.[1]

Abstract

This article summarizes the academic achievements, research activities, professional experience, scientific projects, and scholarly contributions of Ziyoda Adilova. Her work primarily addresses railway transport engineering, railcar dynamics, freight transportation systems, transport logistics, and maintenance optimization. The combination of theoretical modelling and practical engineering applications demonstrates sustained contributions to transportation research and railway operational safety.[1]

Keywords

Railway Engineering, Freight Transport Systems, Railcar Dynamics, Transport Logistics, Maintenance Optimization, Railway Safety, Engineering Research, Rail Service Vehicles, Transportation Technology, Infrastructure Engineering.

Introduction

Railway transportation remains a critical component of economic development and logistics infrastructure. Research directed toward improving operational safety, freight efficiency, and rolling-stock performance plays an important role in modern transportation systems. Ziyoda Adilova’s academic activities have focused on these areas through investigations of railcar oscillations, maintenance strategies, freight flow optimization, and innovative transport technologies.[1]

Research Profile

Adilova completed her bachelor’s and graduate studies at the Tashkent Institute of Railways and Engineers between 2003 and 2009. She subsequently progressed through research and academic positions, including trainee researcher, assistant lecturer, senior researcher, researcher, doctoral candidate, and professor. Her academic development reflects long-term engagement with transport engineering education and railway research.[1]

  • Bachelor and graduate education in railway engineering.
  • PhD and DSc doctoral training in transport logistics and freight transport systems.
  • Professor, Department of Freight Transport Systems.
  • Research interests in rail vehicle dynamics and transport logistics.
  • Member of Science Slam.

Research Contributions

The research contributions of Adilova are centered on mathematical modelling of railcar structures, oscillation analysis of rolling stock, maintenance planning, railway safety, and freight transport optimization. Her investigations have supported the development of analytical tools for understanding rail vehicle performance under operational conditions and have contributed to extending service life and reliability of transport assets.[2]

  • Dynamic modelling of railcar bearing frames.
  • Oscillation analysis of rail service vehicles.
  • Preventive maintenance optimization methodologies.
  • Freight flow enhancement technologies.
  • Railway safety-oriented engineering innovations.
  • Development of container block-train logistics technologies.
  • Projects addressing service-life extension of transport vehicles.

Publications

Selected publications demonstrate sustained research activity in railway engineering and transport systems, particularly in railcar dynamics and maintenance analysis.[2]

  1. Modelling of Fluctuations in the Main Bearing Frame of Railcar.
  2. Mathematical Model for Calculation of Oscillations in the Main Bearing Frame of Railcar with Changing Stiffness and Physical Parameters.
  3. Mathematical Model of Oscillations of Bearing Body Frame of Emergency and Repair Railcars.
  4. Development of Generalized Dynamic Model of Oscillations of the Main Frame and Running Gear of Rail Service Cars.
  5. Analysis of Optimal Periodicity of Preventive Maintenance of Rail Service Car Taking into Account Operational Technology.

Research Impact

The research output associated with Adilova has contributed to engineering knowledge related to rolling-stock reliability, transport safety, and freight transportation efficiency. Her scholarly profile includes 30 indexed documents, 131 citations, and an h-index of 7, indicating measurable academic visibility within transportation and engineering research communities.[1]

Beyond publication activity, she has led scientific and industrial projects addressing logistics technologies and service-life extension methods for railway vehicles. These initiatives demonstrate engagement with practical transportation challenges and knowledge transfer between academia and industry.[1]

Award Suitability

Ziyoda Adilova’s academic profile aligns with the objectives commonly associated with innovation and teaching recognition programs. Her record includes scholarly publications, leadership of applied research projects, university-level teaching responsibilities, and national recognition through scientific competitions. Notable distinctions include participation as a winner in the “100 Best Innovative Projects of Uzbekistan Women” competition and recognition in the national “Young Scientist” competition. These achievements provide evidence of sustained contributions to engineering research, innovation, and higher education.[1]

Conclusion

Ziyoda Adilova has established a research profile focused on railway engineering, freight transportation systems, transport logistics, and rail vehicle dynamics. Through academic leadership, engineering research, scientific project management, and publication activity, she has contributed to both theoretical and applied developments in transportation engineering. Her achievements support consideration for professional and academic recognition within the engineering and higher-education sectors.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Ziyoda Adilova, Author ID 57192575499. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57192575499
  2. Mukhamedova, Z., and collaborators. Selected publications in railway engineering, railcar dynamics, transport logistics, and maintenance optimization. https://scholar.google.com/citations?user=m5hPvtMAAAAJ&hl=en&oi=sra
  3. ORCID. (n.d.). Researcher Profile: Ziyoda Adilova. https://orcid.org/0000-0002-1825-2447
  4. Top Teachers Awards. (n.d.). Award and recognition platform. https://topteachers.net/
  5. Evaluating skill acquisition in primary education in Uzbekistan through STEAM-based learning approaches. G Mukhamedov, Z Mukhamedova, D Mukhamedova, G Fuzailova, Z Dineeva, OD Akanji. Discover Education. https://link.springer.com/article/10.1007/s44217-026-01442-9

Xingjian Huang | Engineering | Best Research Article Award

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Dr. Xingjian Huang | Engineering | Best Research Article Award

Huaihua University | China

Xingjian Huang is a distinguished food‑science researcher whose work integrates protein chemistry, food structure and functionality, biopolymer‑based materials, and the nutritional evaluation of plant proteins. His research has significantly advanced understanding of how soy proteins and other plant‑derived proteins behave under various processing conditions, including proteolysis, gelation, hydrolysis, and complex formation, and how these behaviors influence texture, gel strength, nutritional quality, and functional properties. Among his notable contributions is the study of amyloid‑fibril formation from selectively hydrolyzed soy protein hydrolysates, which provided key insights into protein aggregation, fibrillation mechanisms, and structural modification. He has also conducted extensive research on exopolysaccharide production by lactic acid bacteria, improving yields through strain screening and optimization of fermentation and extraction conditions, linking microbial fermentation to food‑biopolymer applications. In addition, Huang has investigated the nutritional value and amino acid composition of various plant proteins, such as the protein subunits of the Chinese chestnut (Castanea mollissima), enhancing understanding of plant protein quality and potential functional applications. His work further explores the practical implications of protein interactions in food systems, including mixed‑protein gels, soy‑protein/corn‑starch composites, and the interplay of lipids and proteins in gel networks, bridging fundamental biochemical insights with industrial food processing relevance. Huang’s research has contributed valuable knowledge for improving food texture, nutrition, and the scalable processing of plant‑based proteins, supporting both academic research and applied food technology. According to his ResearchGate profile, he has published over 20 peer‑reviewed papers with more than 1,800 reads, demonstrating significant influence in the field and a substantial citation record that reflects his impact on food science research worldwide. For his outstanding contributions, Xingjian Huang has been recognized with the Best Research Article Award, highlighting his innovative work and high impact in the field of food science and technology.

Publication Profile

Orcid

Featured Publications

Yang, F., Huang, X., Zhang, C., … Hao, Y. (2018). Amino acid composition and nutritional value evaluation of Chinese chestnut (Castanea mollissima Blume) and its protein subunit. RSC Advances.

Xie, D., Liu, X., Zhang, H., … Pan, S., Huang, X. (2017). Textural properties and morphology of soy 7S globulin–corn starch (amylose, amylopectin). International Journal of Food Properties.

Xia, W., … Pan, S., Huang, X. (2017). Formation of amyloid fibrils from soy protein hydrolysate: Effects of selective proteolysis on β‑conglycinin. Food Research International.

Qi, L., … Pan, S., Huang, X. (2016). Yield improvement of exopolysaccharides by screening of the Lactobacillus acidophilus ATCC and optimization of the fermentation and extraction conditions. EXCLI Journal.

Pan, Y., Huang, X., Shi, X., … Du, Y. (2015). Antimicrobial application of nanofibrous mats self-assembled with quaternized chitosan and soy protein isolate. Carbohydrate Polymers.

 

Viorel Paunoiu | Engineering | Best Researcher Award

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Prof. Viorel Paunoiu | Engineering | Best Researcher Award

Professor at Dunarea de Jos University of Galati, Romania

Viorel Păunoiu is a distinguished professor and researcher in Industrial Engineering, specializing in metal forming processes, additive manufacturing, and advanced manufacturing technologies. He has dedicated his career to academia and research, significantly contributing to technological advancements in manufacturing. He is currently a professor at “Dunarea de Jos” University of Galati, where he also serves as a PhD supervisor. With over three decades of experience, he has led numerous research projects, supervised doctoral students, and contributed to international collaborations. He has also held various leadership positions, including Director of the Manufacturing Engineering Department and Editor-in-Chief of the university’s scientific journal. His expertise spans industrial process modeling, simulation, and optimization, making him a key figure in Romania’s industrial research community. His contributions have earned him multiple awards and honors, further solidifying his impact on the field.

professional profiles📖

Google Scholar

Scopus Profile

Education 🎓

Viorel Păunoiu holds a PhD in Industrial Engineering from “Dunarea de Jos” University of Galati (1992-1998), focusing on metal forming processes. He earned his Bachelor of Science in Mechanical Engineering from the same institution in 1984. Over the years, he has pursued continuous education, completing post-university studies in CAD design (2007) and industrial property protection (2001). His international academic exposure includes research activities at CEMEF, France (1992), and training in advanced manufacturing techniques in Poland, Ireland, Greece, and Italy. Additionally, he obtained a Certificate of Graduation in Quality Management (2009) and English Language (2013). His academic background is complemented by specialized training in powder metallurgy (1999) and visiting professorships, including the University of Constantine, Algeria (2018). These educational experiences have shaped his expertise in industrial engineering, manufacturing processes, and innovative material technologies.

work Experience💼

Viorel Păunoiu has an extensive career spanning academia, research, and industry. He began as a Design Engineer at MEFIN Sinaia (1984-1987), then transitioned to academia as a Research Assistant (1987-1990) and later Assistant Professor (1990-1992) at “Dunarea de Jos” University of Galati. Over the years, he progressed to Lecturer (1992-2001), Associate Professor (2001-2004), and Professor (2004-present). He currently serves as a PhD Supervisor and Professor Habilitat in Industrial Engineering. His leadership roles include Director of the Manufacturing Engineering Department (2011-2019), Director of the Engineering Research Center (2011-present), and Editor-in-Chief of a scientific journal. He has actively contributed to the university’s governance, serving on the Faculty and Senate councils. His expertise extends to quality assurance, as an evaluator for ARACIS. His career is marked by international collaborations, project leadership, and a strong impact on industrial research and education.

Awards and Honors 

Viorel Păunoiu has received numerous accolades for his contributions to Industrial Engineering. He has won multiple First Awards and Gold Medals at UGAL Invent (2021, 2023) and was honored with the Excellence Award “Octavian Pruteanu” (2013, 2023). His research excellence was recognized with the BEST PAPER AWARD at CSM 2018. In 2017, he received a Special Charter for his contributions to the International Conference on Advanced Manufacturing Engineering and Technologies (NEWTECH). His international recognition includes the Excellence Diploma at TMCR Chișinău (2011) and awards for his contributions to advanced manufacturing and reconfigurable processing systems (2007). His leadership in organizing international conferences and pioneering research in manufacturing technologies has earned him distinction among peers. As an esteemed figure in the industry, his work continues to influence engineering research, industrial applications, and academic advancements.

Research Focus

Viorel Păunoiu’s research revolves around metal forming processes, advanced manufacturing, and additive manufacturing. His work emphasizes modeling and simulation of plastic deformation in sheet metal forming and powder forming technologies. He specializes in inspection technologies, digital forming, and reconfigurable manufacturing, integrating modern computational methods to optimize industrial processes. His research extends to intelligent manufacturing for automotive and aerospace applications, focusing on process automation and material behavior analysis. Additionally, he explores hybrid manufacturing, combining traditional and emerging production techniques. His contributions include innovations in multi-point forming, incremental forming, and laser-assisted forming technologies. His extensive publications and projects reflect his dedication to advancing industrial engineering, bridging the gap between theoretical research and practical industrial applications. His work significantly impacts manufacturing efficiency, cost reduction, and product quality improvement in global industries.

Skills 💡

Viorel Păunoiu possesses a diverse skill set, including expertise in industrial engineering, metal forming, and manufacturing technologies. He is proficient in CAD software like Solid Edge, FEA software for deformation modeling (DYNAFORM), and photo editing tools (Adobe Photoshop, CorelDraw). His project management skills include leading national and international research projects in manufacturing innovation. He has extensive organizational and managerial skills, having directed multiple research centers and academic departments. His communication skills enable effective teaching, research collaboration, and conference organization. He is experienced in scientific review for journals like Elsevier’s Measurement, Materials Design, and MDPI’s Applied Sciences. Additionally, his multidisciplinary approach incorporates artificial intelligence in manufacturing, robotic-assisted forming, and sustainable manufacturing processes. His technical expertise is complemented by his leadership in academic governance, international collaborations, and industry partnerships with major companies like DACIA-RENAULT

 

Conclusion✅

Viorel Păunoiu is a highly qualified candidate for the Best Researcher Award, given his long-standing contributions to industrial engineering, leadership in academic research, and involvement in impactful projects. His work significantly influences manufacturing processes, metal forming, and advanced materials engineering. Strengthening his international visibility, patents, and interdisciplinary collaborations would further enhance his credentials.

 

📚Publications to Noted

 

Laser bending of stainless steel sheet metals

Authors: V. Păunoiu, E.A. Squeo, F. Quadrini, C. Gheorghies, D. Nicoara

Citations: 41

Year: 2008

Numerical simulations in reconfigurable multipoint forming

Authors: V. Păunoiu, P. Cekan, E. Gavan, D. Nicoara

Citations: 32

Year: 2008

Simulation of friction phenomenon in deep drawing process

Authors: V. Păunoiu, D. Nicoară

Citations: 20

Year: 2003

Study on the Transition from the Linear Economy to the Circular Economy

Authors: C. Afteni, V. Păunoiu, M. Afteni

Citations: 18

Year: 2021

Simulation of Plate’s Deformation Using Discrete Surfaces

Authors: V. Păunoiu, N. Oancea, D. Nicoara

Citations: 15

Year: 2004

Using 3D scanning in assessing the dimensional accuracy of mechanically machined parts

Authors: C. Afteni, V. Păunoiu, M. Afteni, V. Teodor

Citations: 13

Year: 2022

Springback compensation in reconfigurable multipoint forming

Authors: V. Păunoiu, V. Teodor, A. Epureanu

Citations: 12

Year: 2009

Simulation of the combined reconfigurable multipoint forming and rubber forming

Authors: V. Păunoiu, P. Cekan, M. Banu, A. Epureanu, D. Nicoara

Citations: 12

Year: 2008

Experimental and finite element analysis of Erichsen test. Application to identification of sheet metallic material behaviour

Authors: V. Oleksik, A. Gavrus, V. Păunoiu, O. Bologa

Citations: 11

Year: 2009

A general upper bound method for forces calculation in tube spinning process

Authors: V. Păunoiu, D. Nicoara, M. Teodorescu

Citations: 11

Year: 1999