Browsing by Author "Huseynov, Orkhan"

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Developing Additively Manufactured Iron Powder-filled PLA Composites
(University of Texas at Austin, 2023) Kumar, Jeevan; Huseynov, Orkhan; Fidan, Ismail; Rajabali, Ismail
The Low-Cost Metal Material Extrusion (LCMMEX) process has gained attention in recent years to produce metallic parts with complex designs. High Iron concentration composite materials have been extensively researched to improve their properties and functionality for advanced manufacturing applications. This study aims to develop knowledge blocks for producing composite parts with high iron percentages and analyze their physical properties based on print parameters. A rectangular sample is manufactured using the Material Extrusion (MEX) process, with variations in layer height, infill density, and print speed. The investigation shows that a number of parameters affects the change in surface roughness, weight, and dimensional accuracy of the printed parts. Furthermore, an increase in the infill percentage leads to a significant increase in magnetic flux. This research study provides insights into the influence of print parameters on the properties of high-iron-filled composite parts, ideal for high-density applications.
Fatigue Life Prediction of Functionally Graded TPU and PLA Components Produced by Material Extrusion
(University of Texas at Austin, 2023) Alkunte, Suhas; Rajeshirke, Mithila; Huseynov, Orkhan; Fidan, Ismail
The objective of the present research is to examine the fatigue life estimation of functionally graded additive manufacturing (FGAM) components produced by the Material Extrusion (MEX). Current research studies demonstrate the potential of functionally graded materials (FGMs) in enhancing the mechanical properties of engineered structures. The raw materials employed for the experimentation of this study are a combination of Polylactic acid (PLA) and Thermoplastic Polyurethane (TPU). To predict fatigue life, several researchers have utilized various statistical approaches. In this investigation, an experimental study is conducted utilizing Tension-Tension (T-T) loading conditions and different stress levels (80, 60, 40, and 20% of Ultimate tensile strength), followed by the application of Basquin’s Model for fatigue life prediction. The results obtained indicate that the model may be utilized to predict fatigue response. Overall, the soft-hard material combinations with adaptable properties produced through FGAM have potential applications in dental and orthopedic fields.
Influence of the Different Matrix Materials on the Thermal Properties of Short Carbon Fiber Reinforced Composites
(2022) Huseynov, Orkhan; Fidan, Ismail
A considerable amount of literature has been published on the thermal properties of the short carbon fiber reinforced composites (SCFRC). However, no study has focused on the effect of the various matrix materials on the thermal properties of the SCFRC. The aim of this study is to investigate the thermal propertiesof neat and composite PETG, PC/PBT, ABS, and Nylon filled with short carbon fibers. In order to do this, thermal conductivity and thermal diffusivity of the samples were measured. Thermogravimetric and differential scanning calorimetry analyses were performed to study degradation, glass transition temperature, and specific heat value. The findings of the study are essential in reporting the relationships between the SCFRCs and commonly used polymer materials.
Lost-PLA Casting Process Development Using Material Extrusion with Low-Weight PLA
(University of Texas at Austin, 2023) Ali, Mohammad Alshaikh; Huseynov, Orkhan; Fidan, Ismail; Vondra, Fred
The goal of this research is to develop a baseline procedure for lost-PLA casting process of aluminum. Traditional Manufacturing techniques and Smart Manufacturing techniques have their advantages and disadvantages. Integrating the traditional and modern aspects of manufacturing enhances the capabilities of manufacturing. In this study, low-weight PLA is used in a Material Extrusion (MEX) machine to fabricate sacrificial patterns for an aluminum lost-casting process. Different process parameters, after a calibration process, are tested for the MEX process The MEX process parameters tested are: infill pattern, and top/bottom solid layers. The MEX process parameter investigation allows to draw conclusions to establish a standard for which parameters are ideal for the casting process. For this research, casting process parameters are set constant. The preliminary studies show that the lost-PLA casting process is successful in producing dimensionally accurate aluminum parts by a direct-pour casting process using the suggested MEX process parameters.
Machine Learning-Assisted Prediction of Fatigue Behaviour in Fiber-Reinforced Composites Manufactured via Material Extrusion
(University of Texas at Austin, 2023) Rajeshirke, Mithila; Alkunte, Suhas; Huseynov, Orkhan; Fidan, Ismail
The recent advancements in material extrusion (MEX) have expanded the potential use of polymeric and composite structures in a wide range of structural and load-bearing applications. However, cyclic loads can induce fatigue, resulting in the development of structural damage and potentially leading to catastrophic failure at lower stress levels compared to normal mechanical loading. Therefore, it is crucial to thoroughly investigate and understand the fatigue behavior of composite parts manufactured using MEX. Predicting the fatigue life of polymeric composite components poses a significant challenge due to the complex nature of the materials involved. In this research, the aim is to utilize Machine Learning (ML) techniques to predict the fatigue life of fiber-reinforced composites produced through the MEX process. ML focuses on developing models that can learn from data, recognize underlying patterns within the data, and use those patterns to make accurate predictions or decisions.
THERMAL SIMULATION OF THE MATERIAL EXTRUSION PROCESS WITH DIFFERENT PRINT BED BOUNDARY CONDITIONS
(University of Texas at Austin, 2023) Huseynov, Orkhan; Al-Shaikh Ali, Mohammad; Fidan, Ismail
The temperature evolution in the material extrusion (MEX) process significantly affects the stability and bonding of 3D printed parts. Numerous studies have focused on developing models to capture the temperature history of the MEX process. However, there remains a need to explore the influence of different boundary conditions applied to the print bed. Additionally, the size of the bed relative to the 3D printed object has not been extensively investigated. This study aims to analyze the thermal behavior of the first layer in MEX by considering various boundary conditions and bed sizes. The obtained results will contribute to the development of faster yet reliable models for simulating the temperature variation in the MEX process.