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Recent Submissions

A Revolutionizing Packaging Machine for Identical Mixes within the Packages: Case-of-Study for Ezz Al-Maslamani
(2023-06-08) Al-Montaser BeAllah Al-Maslamani; Wadah Qartallo; Abdul Fatah Shehadeh;
t Food manufacturing companies have a flaw that is concealed; unequal distribution of the ingredients in their packaging line. This problem results in packages with different proportions instead of the identical bags intended made. Such big manufacturers tackle such an issue with marketing, for example, “enjoy an odd mix.” Still, this affects customer satisfaction which affects their profit as well. This issue happens especially when the container of a product is seethrough, customers have been noticed to be picky about the mix inside. Therefore, this project aims to develop and construct a machine that should solve this phenomenon. The machine will use helical actuators that pour the required proportions of each product simultaneously into a weight head. This will ensure the bags are as identical as possible with a minimum error rate. The proposed machine could be adopted by industries in the mechatronics and packaging industries. Yet, now the funder is a local company named Ezz Al-Maslamani Company. This project will be divided into two phases: the first is designing the machine as well as doing all the calculations necessary for the work environment, while the second phase is validating the machine in Ezz Al-Maslamani Company and running it. The main objectives of this project are summarized as follows: • Design a machine that will ensure an identical mix in packages. This will be done using SolidWorks as well as Factory I/O to test and simulate the PLC. • Customer satisfaction: It has been observed that customers are picky about see-through packages depending on which ingredients they like the most. This machine will ensure everyone has the same mix every time. • Gain ISO 9001 for the company: 9000 family means there is a standard within the production as well as other things. This project will ensure standard mixes along the packages, thus moving the company closer to an ISO certificate. The previously mentioned objective will be accomplished using the following components: the machine that will be constructed contains mechanical and electrical components. The mechanical components will include actuators such as helical screw conveyors, pneumatic systems, and silos for the products that will be mixed. On the other hand, the electrical parts will include a PLC integrated into an HMI and motors. The electronics used will be sensors and a weighted head. Due to various reasons, the project has transitioned into a prototype stage due to several distinguished engineers recommending this course of action, given the inherent uncertainty surrounding the mechanism. In this prototype, three Arduino units were utilized as a substitute for the PLC. Additionally, MATLAB’s App Designer was employed instead of a traditional HMI. 2
Multipurpose syringe pump 3D-printer
(2023-06-08) • Ahmed Naser; • Tariq Sholi; • Alaa Jawabreh
This project explores the design and development of a 3D printer utilizing a syringe pump extruder. The printer aims to expand the capabilities of additive manufacturing by incorporating the precise deposition of materials using syringe-based extrusion. The syringe pump extruder offers advantages such as versatility in material selection and the potential for precise control of material flow. The study begins with an in-depth analysis of the components required for the syringe pump extruder, including the syringe, plunger, and motor assembly. Design considerations are discussed to optimize the extruder's performance, such as the selection of appropriate syringe sizes and stepper motor specifications to achieve desired extrusion rates and accuracy. To facilitate the integration of the syringe pump extruder into a 3D printer, modifications are made to a Prusa i3 MK3 printer. The adaptation process involves mechanical adjustments to accommodate the syringe pump extruder, such as mounting brackets and additional support structures. Firmware and software modifications are implemented to enable control of the syringe pump extruder and its coordination with the printer's other components. Experimental validation is conducted to evaluate the performance of the syringe pump extruder 3D printer. Test prints are conducted using pasta powder to assess print quality, dimensional accuracy, and material compatibility. The printer's capabilities are examined, including the ability to create intricate structures, print with high precision, and handle different material viscosities. The results demonstrate the successful implementation of the syringe pump extruder within the 3D printer framework, showcasing its potential for advanced additive manufacturing applications. The syringe pump extruder offers precise control over material deposition, enabling the printing of complex geometries and the use of a wide range of materials beyond traditional filament-based systems. This project contributes to the field of 3D printing by introducing a novel approach that expands material options and enhances printing capabilities. The syringe pump extruder 3D printer holds promise for applications in areas such as bioprinting, pharmaceutical manufacturing, and customized fabrication requiring precise material placement. Further research directions and potential improvements for the syringe pump extruder 3D printer are also discussed, providing a foundation for future advancements in this field.
(An-Najah National University, 2023-02-05) Sumayyah Salim Mohammad Jaber
One of the reasons why interest in medicinal plants is growing daily is the idea that some plants have the ability to treat a variety of illnesses without having any negative side effects. Myrtus has long been used in many conventional treatments in our region. In this study, the chemical profiles of the Myrtus essential oils (EO) that were gathered in Jericho and Jenin will be investigated, along with their antioxidant, anti-amylase, antimicrobial, and anticancer effects. Myrtus essential oils (EO) were created via hydro distillation extraction, and the chemical constituents of the EO were characterized qualitatively and quantitatively using GC-MS. Forty one chemicals were found in Jericho EO, with cis-4-Thujanol (27.37%), 1, 8-Cineole (24.32%), Myrtenol (12.97%), Myrtenal (12.46%), and trans-4-Thujanol acetate (9.48%) being the main contributors. There were 37 different chemicals in Jenin EO, with 1,8-cineole (31.55%), linalool (21.65%), Trans-4-thujanol acetate(11.26%), α-pinene(10.22%), Myrtenal(6.78%) and -terpineol(4.35%) being the most prevalent. The antioxidant activity of the EOs was assessed by blocking DPPH free radicals. Jericho and Jenin ethyl acetate extracts outperformed the positive control Trolox, which exhibited an IC50 of 10.25±1.02 g/mL, and demonstrated dose-dependent free radical scavenging capabilities with IC50 values of 8.55±2.31 and 3.60±0.35 g/mL, respectively. The most effective α-amylase inhibitory agents were Myrtus EO and extract from Jenin, with IC50 values of 950.48±2.54 and 795.43±1.88µg/mL, respectively, whereas EO and extract from Jericho had no effect. Jenin EO has higher antioxidant activity comparison to the EO from Jericho is presumably brought on by larger amounts of oxygenated monoterpenes, such as 1, 8-cineole and -pinene. The antitumor activity was tested using the MTS assay. Four cancer cell lines—the human cervical (HeLa), breast (MCF-7), mouse embryo fibroblasts (3T3), and normal hepatic (LX-2) cell line were employed as normal cell lines to test the anti-proliferative activity. Jenin EO has IC50 values between 215.25±1.07 and 597.01±3.11 g/mL, while Jericho EO has values between 644.47±2.89 and 914.54±3.05 g/ml. The antibacterial activity was examined using the microdillution technique. Gram-positive bacteria are more sensitive to both EOs than Gram-negative bacteria. The two EOs have less antifungal efficacy against C. albicans than any other extract under study. Keywords: Myrtus, Essential oil, Chemical composition, Bioactive components, Palestinian.
COVID-19 diagnosis from chest X-ray images using transfer learning: Enhanced performance by debiasing dataloader
(2023) Abeer Sawalha
Chest X-ray imaging has been proved as a powerful diagnostic method to detect and diagnose COVID-19 cases due to its easy accessibility, lower cost and rapid imaging time. Objective This study aims to improve efficacy of screening COVID-19 infected patients using chest X ray images with the help of a developed deep convolutional neural network model (CNN) entitled nCoV-NET.