Results (17)
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Keyword: productionFractal Research to the Production of High-strength Materials
by Seoryeong Choi and Eunsung Jekal
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 36-44, 2022; DOI: 10.55708/js0110006
Abstract: SiC ceramics are excellent materials applied at high temperatures because of their lightweight, excellent high-temperature strength, and high thermal shock resistance. For better engineering properties, we made SiC with fractal lattices. Stress-strain behavior and modulus changes from room temperature to 1,250 oC were analyzed using LAMMPS S/W, a molecular dynamics program. As a result of… Read More
(This article belongs to the Section Applied Physics (APY))
An Elaborate Breakdown of the Essentials of Biogas Production
by Abdulhalim Musa Abubakar, Kiman Silas and Mohammed Modu Aji
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 93-118, 2022; DOI: 10.55708/js0104013
Abstract: World search for ways to properly manage rural and urban waste generated on daily basis from domestic and industrial buildings, perhaps leads to the adoption of the anaerobic digestion (AD) systems. The system utilizes microorganisms such as viruses, fungi, helminths, bacteria and protozoa to degrade waste so as to generate useful by-products such as biogas,… Read More
(This article belongs to the Section Chemical Engineering (CHE))
Biodigester and Feedstock Type: Characteristic, Selection, and Global Biogas Production
by Abdulhalim Musa Abubakar
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 170-187, 2022; DOI: 10.55708/js0103018
Abstract: This work aims at providing factual details necessary for the utilization of diverse feedstock for anaerobic digestion (AD) to produce biogas using either conventional or non-conventional types of digesters. This is necessary as different substrates had peculiar merits or potentials of biogas production due to their unique characteristics. Selection of right feedstock is usually based… Read More
(This article belongs to the Section Chemical Engineering (CHE))
Ways to Increase the Efficiency of Sucker Rod Pump Units in Oil Production
by Aliev Telman Abbas, Guluyev Gambar Agaverdi, Rzayev Asif Haji, Aliyev Yaver Gabil, Rezvan Mahammad Huseyn, Yashin Anton Nikolaevich and Khakimyanov Marat Ilgizovich
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 01-08, 2022; DOI: 10.55708/js0103001
Abstract: The article shows that in the middle and late stages of oil field development, of all mechanized methods, the most common is oil extraction by sucker rod pump units (SRPU). However, due to inefficient management of them, their operating costs are increasing. The article presents the results of improving the efficiency of SRPU due to… Read More
(This article belongs to the Section Energy and Fuels (ENF))
Energy-Optimized Smart Transformers for Renewable-Rich Grids
by Sunday Omini Oboma and Edward Lambart
Journal of Engineering Research and Sciences, Volume 4, Issue 10, Page # 21-28, 2025; DOI: 10.55708/js0410003
Abstract: The accelerating and unrestrained use of energy globally raises serious concerns for the future of the planet, primarily due to the environmental devastation caused by fossil fuels. Achieving high energy efficiency in both fuel-driven and renewable energy systems is crucial for future energy optimization. Clean energy production is one of the most effective strategies to… Read More
(This article belongs to the Section Energy and Fuels (ENF))
Magnetic AI Explainability: Retrofit Agents for Post-Hoc Transparency in Deployed Machine-Learning Systems
by Maikel Leon
Journal of Engineering Research and Sciences, Volume 4, Issue 8, Page # 31-40, 2025; DOI: 10.55708/js0408004
Abstract: Artificial intelligence already influences credit allocation, medical diagnosis, and staff recruitment, yet most deployed models remain opaque to decision makers, regulators, and the citizens they affect. A new wave of transparency mandates across multiple jurisdictions will soon require organizations to justify automated decisions without disrupting tightly coupled production pipelines that have evolved over the years.… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2025 and the Section Artificial Intelligence – Computer Science (AIC))
Cavity Sensing for Defect Prevention in Injection Molding
by Oumayma Haberchad and Yassine Salih-Alj
Journal of Engineering Research and Sciences, Volume 4, Issue 5, Page # 10-19, 2025; DOI: 10.55708/js0405002
Abstract: Real-time monitoring of injection molding parameters plays a pivotal role in enhancing product quality, reducing defects and improving production. This study presents a cavity data acquisition system for real time monitoring of process parameters inside the mold. The system consists of non-destructive in-mold sensors that monitor the status of the melt within the cavities. Furthermore,… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2024-25 and the Section Manufacturing Engineering (MNE))
Developing E-Methane Value Chain and Proper Greenhouse Gas (GHG) Accounting Rules Incentivizing Recycled Carbon Fuels
by Ryota Kuzuki, Mitsuhiro Kohara, Noboru Kizuki, Satoshi Yoshida, Yuta Nezasa and Yuki Tsuji
Journal of Engineering Research and Sciences, Volume 4, Issue 1, Page # 8-15, 2025; DOI: 10.55708/js0401002
Abstract: Many countries and industries in the world are aiming to transition to a carbon neutral society. One of the means to achieve this is the use of recycled carbon fuels (RCFs) such as e-methane. Feasibility of an international value chain is being studied in a variety of regions. In particular, with regard to e-methane, demonstration… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Energy and Fuels (ENF))
Using Artificial Intelligence Models to Predict the Wind Power to be fed into the Grid
by Sambalaye Diop, Papa Silly Traore, Mamadou Lamine Ndiaye and Issa Zerbo
Journal of Engineering Research and Sciences, Volume 3, Issue 6, Page # 1-9, 2024; DOI: 10.55708/js0306001
Abstract: The Taïba Ndiaye wind farm, connected to the SENELEC grid, plays a key role in offsetting shortfalls in electricity consumption, with an installed capacity of 158.7 MW. Moreover, as an intermittent power station, its production is highly dependent on the environmental conditions in the region. Bad weather can disrupt the electricity network, requiring forecasting methods… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-24 and the Section Electrical Engineering (ELE))
Isolation and Characterization of the Bioplastic Producing Bacteria Using Low-Cost Substrate, Sawdust
by Anam Javaid, Sumaira Aslam, Hira Qaisar, Farhat Batool, Rimsha Javed and Muhammad Waqas Qaisar
Journal of Engineering Research and Sciences, Volume 2, Issue 12, Page # 7-14, 2023; DOI: 10.55708/js0212002
Abstract: Plastics are routinely used in the packaging of materials as well as in industrial production. However, once in the environment, they are non-biodegradable, posing severe threats to the ecosystems. Bioplastic replaces conventional plastic, which is biodegradable due to its biological origin and does not affect environment. Sawdust is a very important agro-waste screened as a… Read More
(This article belongs to the Section Biotechnology and Applied Microbiology (BAM))
Blockchain Tokens for Agri-Food Supply Chain
by Ricardo Borges Dos Santos, Rodrigo Palucci Pantoni and Nunzio Marco Torrisi
Journal of Engineering Research and Sciences, Volume 2, Issue 2, Page # 15-23, 2023; DOI: 10.55708/js0202003
Abstract: The aim of this research is to suggest and analyze a framework to give universal publicity to food properties certificates from any certification authorities. The focus is the certification of agro product instances, i.e. unique for every single harvest, using smart contracts and blockchain non fungible tokens minted by third-party authorities. The development and testing… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-23 and the Section Information Systems – Computer Science (ISC))
Surface Defect Detection using Convolutional Neural Network Model Architecture
by Sohail Shaikh, Deepak Hujare and Shrikant Yadav
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 134-144, 2022; DOI: 10.55708/js0105014
Abstract: With the dominance of a technical and volatile environment with enormous consumer demands, this study aims to investigate the advancements in quality assurance in the era of Industry 4.0. For better production efficiency, rapid and robust automated quality visual inspection is developing rapidly in product quality control. Deep neural network architecture is built for a… Read More
(This article belongs to the Section Artificial Intelligence – Computer Science (AIC))
Impact Analysis of Duck Curve Phenomena with Renewable Energies and Storage Technologies
by Giovani Manuel Pitra and Kameswara Subrahmanya Sastry Musti
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 52-60, 2022; DOI: 10.55708/js0105006
Abstract: When higher quantities of solar energy is injected into power grid, then it is likely to result in what is known as “Duck curve phenomena”. The net load under this phenomenon is negative and thus energy generation needs to be curtailed during the peak hours and also a part of the load during off-peak hours… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Electrical Engineering (ELE))
Effective Approach Experience for Practical Training using Web-Based Platforms and Tools in the Context of the COVID-19 Pandemic
by Radoslav Hrischev
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 22-27, 2022; DOI: 10.55708/js0104003
Abstract: This article is a result of the need to quickly and efficiently organize distance learning for students during the pandemic caused by COVID-19. Some e-learning opportunities provided by internet technologies, web-based platforms, online engineering tools are presented. Examples of training students in business information systems based on learning platforms and demo systems are presented, as… Read More
(This article belongs to the Section Education and Educational Research (EER))
Micro Forming and its Application: A Critical Review
by Neha Tiwari, Ganesh Kakandikar and Omkar Kulkarni
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 126-132, 2022; DOI: 10.55708/js0103013
Abstract: In terms of manufacturing methods/processes, micro-manufacturing has received a lot of attention around the world. Micro-forming is one of the most widely used micro-manufacturing techniques. The micro forming is based on the properties of materials based on the process of shaping parts and object by mechanical deformation. Many efforts had been focused on micro-forming, in… Read More
(This article belongs to the Section Mechanical Engineering (MEE))
An Overview of Solutions Regarding the Problems in Vocational and Technical Education - Example of Elazığ Province
by Ceyda Akıllı, İmam Bakır Arabacı and Engin Kırçıl
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 19-27, 2022; DOI: 10.55708/js0103003
Abstract: Vocational and technical education institutions help to train individuals in a well-equipped manner, increase their employability level, and provide workforce in areas that countries need. Vocational and technical education is of great importance in terms of ensuring the development of countries at the national and international level, training qualified intermediate staff and increasing employment opportunities.… Read More
(This article belongs to the Section Education and Educational Research (EER))
Soil Properties Prediction for Agriculture using Machine Learning Techniques
by Vijay Kumar, Jai Singh Malhotra, Saurav Sharma and Parth Bhardwaj
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 09-18, 2022; DOI: 10.55708/js0103002
Abstract: Information about soil properties help the farmers to do effective and efficient farming, and yield mo . An attempt has been made in this paper to predict the soil properties using machine learning approaches. The main properties of soil prediction are Calcium, Phosphorus, pH, Soil Organic Carbon, and Sand. These properties greatly affect the production… Read More
(This article belongs to the Section Environmental Engineering (EVE))