Featured Papers for Journal of Experimental and Theoretical Analyses (JETA)

Special Issue Editor

Special Issue Information

Dear Colleagues,

The intricate relationship between theory and experiment is the cornerstone of progress in engineering. At the Journal of Experimental and Theoretical Analyses (JETA), we are committed to exploring these connections through rigorous and innovative research. This journal is a dedicated platform for presenting pioneering analyses that push the boundaries of what is possible in engineering.

Our journal serves as a crucial nexus where theoretical insights meet experimental validation, advancing our understanding of complex engineering phenomena. The comprehensive exploration of these topics not only contributes to academic knowledge but also leads to practical applications that address real-world engineering challenges. We aim to foster a deep appreciation of the methodologies that make these discoveries possible.

As Editor-in-Chief, I encourage submissions that reflect the journal's commitment to excellence in both theoretical and experimental analyses. I look forward to the invaluable insights that our contributors will share as we work together to expand the frontiers of engineering knowledge.

Prof. Dr. Marco Rossi
Guest Editor

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Keywords

  • bioengineering analysis
  • material engineering analysis
  • electric and electronic engineering analysis
  • mechanical engineering analysis
  • environmental engineering analysis
  • food engineering analysis

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Published Papers (4 papers)

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Research

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25 pages, 4215 KiB  
Article
Seed Priming with Phytofabricated Silver Nanoparticles: A Physicochemical and Physiological Investigation in Wheat
by Saubhagya Subhadarsini Sahoo, Dwipak Prasad Sahu and Rajendra Kumar Behera
J. Exp. Theor. Anal. 2025, 3(3), 22; https://doi.org/10.3390/jeta3030022 - 11 Aug 2025
Abstract
Seed priming is an innovative pre-planting technique to improve germination and accelerate early seedling growth, offering a sustainable and eco-friendly alternative to chemical treatments. In this study, silver nanoparticles (AgNPs) were synthesized using flower extracts of neem plants for the first time, alongside [...] Read more.
Seed priming is an innovative pre-planting technique to improve germination and accelerate early seedling growth, offering a sustainable and eco-friendly alternative to chemical treatments. In this study, silver nanoparticles (AgNPs) were synthesized using flower extracts of neem plants for the first time, alongside the conventional neem leaf extract-based AgNPs, and their comparative efficacy was evaluated in wheat seed priming. The biosynthesized AgNPs were characterized through UV–Vis spectroscopy, Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), Field Emission Scanning Electron Microscopy (FESEM), Energy-Dispersive Spectroscopy (EDS), Dynamic Light Scattering (DLS), and zeta potential analysis to confirm their formation, stability, and surface functionality. Wheat seeds were primed with varying concentrations (25, 50, 75, 100 mg/L) of flower-mediated nanoparticles (F-AgNPs) and leaf-mediated nanoparticles (L-AgNPs). Effects on seed germination, seedling growth, plant pigments, secondary metabolites, and antioxidant enzyme activities were systematically investigated. The results indicated that F-AgNP priming treatment significantly enhanced wheat seedlings’ performances in comparison to L-AgNPs, which could be attributed to the difference in phytochemical profiles in the extracts. This study contributes a comparative experimental analysis highlighting the potential of biogenic AgNPs—particularly those derived from neem flower extract—offering a promising strategy for enhancing seedling establishment in wheat through seed priming. Full article
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21 pages, 3249 KiB  
Article
Precision and Stability in Hydrostatic Transmissions with Robust H Control Under Parametric Uncertainties
by Santosh Kr. Mishra, Gyan Wrat, Prabhat Ranjan, Joseph T. Jose and Jayanta Das
J. Exp. Theor. Anal. 2025, 3(2), 14; https://doi.org/10.3390/jeta3020014 - 13 May 2025
Viewed by 615
Abstract
Hydrostatic transmissions are essential in applications demanding variable torque and speed, such as mining and agricultural machinery, due to their compact design, high power-to-weight ratio, and efficient variable speed control. Despite these advantages, their inherent nonlinearities and susceptibility to parametric uncertainties pose significant [...] Read more.
Hydrostatic transmissions are essential in applications demanding variable torque and speed, such as mining and agricultural machinery, due to their compact design, high power-to-weight ratio, and efficient variable speed control. Despite these advantages, their inherent nonlinearities and susceptibility to parametric uncertainties pose significant challenges for precise motion control. This study presents a comparative analysis of classical PID and robust H-infinity controllers for regulating the speed of hydraulic motors under varying torsional loads. A linearized uncertain system model is developed using upper Linear Fractional Transformations (LFTs) to capture key parametric uncertainties. A simplified H-infinity controller is designed to robustly manage system dynamics, particularly addressing phase lags induced by uncertain loads. Simulation results demonstrate that the H-infinity controller offers superior performance over the PID controller in terms of stability, disturbance rejection, and robustness to load fluctuations. This work contributes a practically viable robust control solution for improving the reliability and precision of electro-hydraulic systems, particularly in demanding, real-world environments. Full article
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17 pages, 11207 KiB  
Article
Metallic Bipolar Plate Production Through Additive Manufacturing: Contrasting MEX/M and PBF-LB/M Approaches
by Karim Asami, Sebastian Roth, Jan Hünting, Tim Röver and Claus Emmelmann
J. Exp. Theor. Anal. 2025, 3(2), 12; https://doi.org/10.3390/jeta3020012 - 14 Apr 2025
Viewed by 619
Abstract
Additive manufacturing (AM) technologies have witnessed remarkable advancements, offering opportunities to produce complex components across various industries. This paper explores the potential of AM for fabricating bipolar plates (BPPs) in fuel cell or electrolysis cell applications. BPPs play a critical role in the [...] Read more.
Additive manufacturing (AM) technologies have witnessed remarkable advancements, offering opportunities to produce complex components across various industries. This paper explores the potential of AM for fabricating bipolar plates (BPPs) in fuel cell or electrolysis cell applications. BPPs play a critical role in the performance and efficiency of such cells, and conventional manufacturing methods often face limitations, particularly concerning the complexity and customization of geometries. The focus here lies in two specific AM methods: the laser powder bed fusion of metals (PBF-LB/M) and material extrusion of metals (MEX/M). PBF-LB/M, tailored for high-performance applications, enables the creation of highly complex geometries, albeit at increased costs. On the other hand, MEX/M excels in rapid prototyping, facilitating the swift production of diverse geometries for real-world testing. This approach can facilitate the evaluation of geometries suitable for mass production via sinter-based manufacturing processes. The geometric deviations of different BPPs were identified by evaluating 3D scans. The PBF-LB/M method is more suitable for small features, while the MEX/M method has lower deviations for geometrically less complex BPPs. Through this investigation, the limits of the capabilities of these AM methods became clear, knowledge that can potentially enhance the design and production of BPPs, revolutionizing the energy conversion and storage landscape and contributing to the design of additive manufacturing technologies. Full article
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Review

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30 pages, 5612 KiB  
Review
In-Situ Monitoring and Process Control in Material Extrusion Additive Manufacturing: A Comprehensive Review
by Alexander Isiani, Kelly Crittenden, Leland Weiss, Okeke Odirachukwu, Ramanshu Jha, Okoye Johnson and Osinachi Abika
J. Exp. Theor. Anal. 2025, 3(3), 21; https://doi.org/10.3390/jeta3030021 - 29 Jul 2025
Viewed by 387
Abstract
Material extrusion additive manufacturing (MEAM) has emerged as a versatile and widely adopted 3D printing technology due to its cost-effectiveness and ability to process a diverse range of materials. However, achieving consistent part quality and repeatability remains a challenge, mainly due to variations [...] Read more.
Material extrusion additive manufacturing (MEAM) has emerged as a versatile and widely adopted 3D printing technology due to its cost-effectiveness and ability to process a diverse range of materials. However, achieving consistent part quality and repeatability remains a challenge, mainly due to variations in process parameters and material behavior during fabrication. In-situ monitoring and advanced process control systems have been increasingly integrated into MEAM to address these issues, enabling real-time detection of defects, optimization of printing conditions, reliability of fabricated parts, and enhanced control over mechanical properties. This review examines the state-of-the-art in-situ monitoring techniques, including thermal imaging, vibrational sensing, rheological monitoring, printhead positioning, acoustic sensing, image recognition, and optical scanning, and their integration with process control strategies, such as closed-loop feedback systems and machine learning algorithms. Key challenges, including sensor accuracy, data processing complexity, and scalability, are discussed alongside recent advancements and their implications for industrial applications. By synthesizing current research, this work highlights the critical role of in-situ monitoring and process control in advancing the reliability and precision of MEAM, paving the way for its broader adoption in high-performance manufacturing. Full article
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