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The continued displacement of refugees from their homes and homelands (now greater than 50 million people worldwide) places increased focus and attention on evolving the designs of temporary housing that is available to be provided to the refugee population, especially in rural areas where housing does not already exist and must be constructed in very little time. Complex engineering problems involving social issues, such as this case study, benefit from the use of Integrated Transdisciplinary (TD) Tools (ITDT) to effectively and efficiently address the design questions related to them. The integrated use of TD Tools such as Kano Analysis, KJ Diagrams, Critical to Quality (CTQ), House of Quality (HOQ)/Quality Function Design (QFD), Theory of Inventive Problem Solving (TRIZ), Axiomatic Design (AD), Interpretive Structural Modeling (ISM), and Design Structure Matrix (DSM) through an end-to-end unique design process leads to innovation and elimination of design conflicts for especially complicated design problems. The objective of this study is to examine the design of temporary refugee housing using integrated TD tools mentioned above. This research concludes that the use of the ITDT approach provides an innovative, decoupled design.
Daniel Moran; Atila Ertas; Utku Gulbulak. A Unique Transdisciplinary Engineering-Based Integrated Approach for the Design of Temporary Refugee Housing Using Kano, HOQ/QFD, TRIZ, AD, ISM and DSM Tools. Designs 2021, 5, 31 .
AMA StyleDaniel Moran, Atila Ertas, Utku Gulbulak. A Unique Transdisciplinary Engineering-Based Integrated Approach for the Design of Temporary Refugee Housing Using Kano, HOQ/QFD, TRIZ, AD, ISM and DSM Tools. Designs. 2021; 5 (2):31.
Chicago/Turabian StyleDaniel Moran; Atila Ertas; Utku Gulbulak. 2021. "A Unique Transdisciplinary Engineering-Based Integrated Approach for the Design of Temporary Refugee Housing Using Kano, HOQ/QFD, TRIZ, AD, ISM and DSM Tools." Designs 5, no. 2: 31.
Machine learning and deep learning frameworks have been presented as a substitute for lengthy computational analysis, such as finite element analysis, computational fluid dynamics, and fluid-structure interaction. In this study, our objective was to apply a deep learning framework to predict the geometric orifice (GOA) and the coaptation areas (CA) of the polymeric heart valves under the time-varying transvalvular pressure. 377 different valve geometries were generated by changing the control coordinates of the attachment and the belly curve. The GOA and the CA values were obtained at the maximum and the minimum transvalvular pressure, respectively. The results showed that the applied framework can accurately predict the GOA and the CA despite being trained with a relatively smaller data set. The presented framework can reduce the required time of the lengthy FE frameworks.
Utku Gulbulak; Ozhan Gecgel; Atila Ertas. A deep learning application to approximate the geometric orifice and coaptation areas of the polymeric heart valves under time – varying transvalvular pressure. Journal of the Mechanical Behavior of Biomedical Materials 2021, 117, 104371 .
AMA StyleUtku Gulbulak, Ozhan Gecgel, Atila Ertas. A deep learning application to approximate the geometric orifice and coaptation areas of the polymeric heart valves under time – varying transvalvular pressure. Journal of the Mechanical Behavior of Biomedical Materials. 2021; 117 ():104371.
Chicago/Turabian StyleUtku Gulbulak; Ozhan Gecgel; Atila Ertas. 2021. "A deep learning application to approximate the geometric orifice and coaptation areas of the polymeric heart valves under time – varying transvalvular pressure." Journal of the Mechanical Behavior of Biomedical Materials 117, no. : 104371.
Valvular diseases, such as aortic stenosis, are considered a common condition in the US. In severe cases, either mechanical or prosthetic heart valves are employed to replace the diseased native valve. The prosthetic heart valve has been a focal point for researchers to gain a better understanding of the mechanics, which will lead to improved longevity. In this study, our objective was to evaluate the effect of fundamental curves on the geometric orifice area and the coaptation area by implementing a two-level Taguchi Orthogonal Array (OA) design (Analysis of Variance (ANOVA) technique) and the interaction plots to investigate the individual contributions. The leaflet geometry was represented with the attachment curve, the free edge, and the belly curve. A total of three varying control coordinates were used to form different leaflet surfaces. With two different biocompatible polymers, 16 finite element models were prepared. Each model was subjected to time-varying transvalvular pressure. The results showed that the control coordinate for the belly curve has the highest impact on the coaptation area of the valve models with higher average 100% modulus. The geometric orifice area was affected by both control points of the attachment curve and the belly curve. A similar effect was also observed for the valve models with lower average 100% modulus.
Utku Gulbulak; Atila Ertas; Turgut Batuhan Baturalp; Tehya Pavelka. The effect of fundamental curves on geometric orifice and coaptation areas of polymeric heart valves. Journal of the Mechanical Behavior of Biomedical Materials 2020, 112, 104039 .
AMA StyleUtku Gulbulak, Atila Ertas, Turgut Batuhan Baturalp, Tehya Pavelka. The effect of fundamental curves on geometric orifice and coaptation areas of polymeric heart valves. Journal of the Mechanical Behavior of Biomedical Materials. 2020; 112 ():104039.
Chicago/Turabian StyleUtku Gulbulak; Atila Ertas; Turgut Batuhan Baturalp; Tehya Pavelka. 2020. "The effect of fundamental curves on geometric orifice and coaptation areas of polymeric heart valves." Journal of the Mechanical Behavior of Biomedical Materials 112, no. : 104039.
The development of adsorptive natural gas storage tanks for vehicles requires the synthesis of many technologies. The design for an effective Adsorbed Natural Gas (ANG) tank requires that the tank be filled isothermally within a five-minute charge time. The heat generated within the activated carbon is on the order of 150 MJ/m3 of storage volume. The tank can be effectively buffered using Phase Change Material (PCM) to absorb the heat. The effective design of these tanks requires knowledge of the thermal properties of activated carbon with adsorbed methane. This paper discusses experimental measurements of the thermal conductivity of activated carbon with adsorbed methane. It was found that within the tank the thermal conductivity remains almost constant within the temperature and pressure ranges that ANG tanks will operate.
Atila Ertas; Christopher T. R. Boyce; Utku Gulbulak. Experimental Measurement of Bulk Thermal Conductivity of Activated Carbon with Adsorbed Natural Gas for ANG Energy Storage Tank Design Application. Energies 2020, 13, 682 .
AMA StyleAtila Ertas, Christopher T. R. Boyce, Utku Gulbulak. Experimental Measurement of Bulk Thermal Conductivity of Activated Carbon with Adsorbed Natural Gas for ANG Energy Storage Tank Design Application. Energies. 2020; 13 (3):682.
Chicago/Turabian StyleAtila Ertas; Christopher T. R. Boyce; Utku Gulbulak. 2020. "Experimental Measurement of Bulk Thermal Conductivity of Activated Carbon with Adsorbed Natural Gas for ANG Energy Storage Tank Design Application." Energies 13, no. 3: 682.
Almost ten percent of the American population have heart diseases. Since the number of available heart donors is not promising, left ventricular assist devices are implemented as bridge therapies. Development of the assist devices benefits from both in-vivo animal and in-vitro mock circulation studies. Representation of the heart is a crucial part of the mock circulation setups. Recently, a beating left ventricular simulator with latex rubber and helically oriented McKibben actuators has been proposed. The simulator was able to mimic heart wall motion, however, flow rate was reported to be limited to 2 liters per minute. This study offers a finite element driven design domain identification to identify the combination of wall thickness, number of actuators, and the orientation angle that results in better deformation. A nonlinear finite element model of the simulator was developed and validated. Design domain was constructed with 150 finite element models, each with varying wall thickness and number of actuators with varying orientation angles. Results showed that the combination of 4 mm wall thickness and 8 actuators with 90 degrees orientation performed best in the design domain.
Utku Gulbulak; Atila Ertas. Finite Element Driven Design Domain Identification of a Beating Left Ventricular Simulator. Bioengineering 2019, 6, 83 .
AMA StyleUtku Gulbulak, Atila Ertas. Finite Element Driven Design Domain Identification of a Beating Left Ventricular Simulator. Bioengineering. 2019; 6 (3):83.
Chicago/Turabian StyleUtku Gulbulak; Atila Ertas. 2019. "Finite Element Driven Design Domain Identification of a Beating Left Ventricular Simulator." Bioengineering 6, no. 3: 83.