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Mar 30, 2026

The response of the composite circular diaphragms under thermo-mechanical stresses via bulge testing

Under thermo-mechanical stress via a bulge test (BT), composite circular diaphragms (CCD) exhibit temperature-dependent mechanical behavior, including changes in Young’s modulus, yield strength, and residual stress. The application of a differential pressure and temperature causes the membrane to deform, allowing researchers to characterize composite material properties, particularly for materials used in microelectromechanical sensors (MEMS) operating in harsh environments. This paper aims to explore how CCD made from basalt fiber reinforced polymer (BFRP) behaves under thermal and mechanical stress, particularly in various engineering and bioengineering sensor applications, using a technique known as the BT. To start, the diaphragm is pre-stressed and clamped between two plates. When applying differential pressure, it causes the diaphragm to deform. An analytical approach is developed for utilizing the BT to describe the thermo-mechanical properties of these diaphragms. This method is well-suited for examining how diaphragms behave mechanically in both elastic and plastic states. A finite element model (FEM) is extended to analyze the BT outcomes and look into how pre-stress influences the pressure testing, comparing results from the FEM with those derived from analytical calculations. The variations in thickness and material type are also taken into account to better understand how they affect the diaphragm’s mechanical behavior under stress. Additionally, this work considers how temperature impacts the material properties of the diaphragm, which is crucial for analyzing its thermo-mechanical response. The relative () for maximum deflection the analytical and numerical results is less than 0.3%. The simulations are done using ANSYS, MATLAB and its PDE toolbox to get the results.

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Jan 2, 2025

An enthalpy method for heat conduction in tube containing phase change material

We present an innovative enthalpy method for determining the thermal properties of phase change materials (PCM). The enthalpy-temperature relation in the “mushy” zone is modelled by means of a fifth order Obreshkov polynomial with continuous first and second order derivatives at the zone boundaries. The partial differential equation (PDE) for the conduction of heat is rewritten so that the enthalpy variable is not explicitly present, rendering the equation nonlinear. The thermal conductivity of the PCM is assumed to be temperature dependent and is modelled by a fifth order Obreshkov polynomial as well. The method has been applied to lauric acid, a standard prototype. The latent heat and the conductivity coefficient, being the model parameters, were retrieved by fitting the measurements obtained through a simple experimental procedure. Therefore, our proposal may be profitably used for the study of materials intended for heat-storage applications.

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Dec 12, 2024

Deep learning-based intraoperative guidance system for anatomical identification in laparoscopic surgery: A review

The power of Artificial Intelligence (AI) combined with the surgeons’ expertise leads to breakthroughs in surgical care, bringing new hope to patients. Utilizing deep learning-based computer vision techniques in surgical procedures will enhance the healthcare industry. Laparoscopic surgery holds excellent potential for computer vision due to the abundance of real-time laparoscopic recordings captured by digital cameras containing significant unexplored information. Furthermore, with computing power resources becoming increasingly accessible and Machine Learning methods expanding across various industries, the potential for AI in healthcare is vast. There are several objectives of AI’s contribution to laparoscopic surgery; one is an image guidance system to identify anatomical structures in real-time. However, few studies are concerned with intraoperative anatomy recognition in laparoscopic surgery. This study provides a comprehensive review of the current state-of-the-art semantic segmentation techniques, which can guide surgeons during laparoscopic procedures by identifying specific anatomical structures for dissection or avoiding hazardous areas. This review aims to enhance research in AI for surgery to guide innovations towards more successful experiments that can be applied in real-world clinical settings. This AI contribution could revolutionize the field of laparoscopic surgery and improve patient outcomes.

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Feb 27, 2024

Enhancing sustainable passenger experience through duty-free shopping at King Fahd Airport: A multimodal perspective

With the increasing significance of travel retail within the global tourism industry, understanding the effects of duty-free shopping experiences on traveler well-being and brand perceptions has become crucial for enhancing customer satisfaction and engagement. This study examines the relationships between duty-free shopping experiences, traveler well-being, and brand perceptions at King Fahd International Airport. Utilizing a quantitative research approach, data were collected from 412 passengers who had recently engaged with duty-free shops. The study incorporated four key experiential dimensions—pragmatic, sociability, hedonic, and usability experiences—alongside well-being, brand engagement, brand experience, and word-of-mouth (WOM) advocacy. The findings indicated positive associations between well-being and pragmatic, hedonic, and usability experiences. Moreover, well-being significantly influenced brand engagement and brand experience, but not WOM. Brand engagement was found to be a significant predictor of brand experience, while it had no significant effect on WOM. Additionally, WOM did not significantly influence brand experience. These insights contribute to a comprehensive understanding of the intricate interplay between shopping experiences, well-being, and brand-related outcomes, providing valuable guidance for airport retailers and marketers to optimize traveler satisfaction and engagement.

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Jun 6, 2024

Unveiling the consequences: How ignorance of laws and policies inhibits the social inclusion of persons with disabilities

Ignorance of laws and policies creates barriers to the social inclusion of persons with disabilities (PWDs), hindering their full participation in communal life and opportunities. The current study aims to analyze the social inclusion of PWDs in the context of ignorance of laws and policies and how it influences their overall social inclusion. To achieve the study objectives, data were collected from a sample of 488 PWDs, comprising 284 males and 204 females, in the selected six Union Councils (sub-administrative units) of District Malakand, Pakistan. Respondents were chosen through multistage stratified random sampling. In the univariate and multivariate level analyses, the chi-square test and Kendall’s Tau-b test statistics were used to test the relationship between ignorance of laws and policies and the social inclusion of PWDs. Gender and level of disability were used as control variables at the multivariate level. The results of Kendal Tb and chi-square significance values depicted a spurious relation among ignorance of laws and policies and social inclusion of PWDs while controlling respondent’s gender. The results highlighted that ignorance of laws and policies reduced social inclusion in male to a higher extent than female. Additionally, the social inclusion of PWDs with moderate disabilities is more significantly hampered by ignorance of laws and polices than those with severe disabilities.

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Aug 25, 2022

Reconstructing Abraham Maslow’s hierarchy of needs towards inclusive infrastructure development needs assessment

This article focuses on Maslow’s theory of hierarchy of needs, which has been criticized for lacking scientific evidence towards an effective municipal infrastructure management system. To ameliorate this, we contend that 21st-century management is not limited to the cardinal direction of motivation from the bottom hierarchy to the top hierarchy, as indicated by Maslow. We also argue that Maslow’s hierarchy of needs theory did not take cognizance of innovations and situational advancements embedded in societal dynamism. Our argument is located within the principles of the interpretive paradigm. This paradigm enables us to analyze the deficiencies inherent in Maslow’s hierarchy of needs within the 21st-century needs assessment perspective and re-establish the necessity for the novel motivation needs theory to cater for the changing world. In doing this, we engaged conceptual analysis as a method of analyzing or making sense of perceived complex concepts towards meaning-making. We conclude that an inclusive infrastructure needs assessment must be geared towards a reformed approach of people’s satisfaction, which informs the necessity to reconstruct Maslow’s hierarchy of needs theory. The needs satisfaction of the populace or community should be of prime importance, in addition to ensuring that people’s satisfaction is met towards enhancing and promoting socio-economic growth and development.

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