Physical Design Research Articles

Design and fabrication of a novel microswitch made in LTCC-PDMS technology applicable to micro total analysis systems

AbstractThe physical design and implementation of an LTCC on–off microswitch device is demonstrated. One model was used to describe microchannel fluidic behavior, especially those with rectangular cross-section, routinely used in microfluidic devices. Another model to describe PDMS microbridge deformation was applied, allowing for estimating the elastic stiffness of several manufactured membranes. From this approach, microswitch design was conducted regarding the simulation results associated with both models, aiming at miniaturization. Applying LTCC-PDMS fabrication methodology, the fluidic devices were manufactured as established by theoretical design and an experimental setup was proposed in order to evaluate system performance. Experimental investigations indicate that a weight of 120 g was necessary to reduce the water flow rate of the normally open LTCC-PDMS microswitch from 0.42 mL/min to 50 μL/min when submitted to a controllable pressure-driven system. The leakage observed when testing the fabricated microswitches regards the rough way in which the PDMS membrane was attached to the LTCC body. However, experimental results suggest that the novel microswitch can operate satisfactorily regarding micro total analysis applications.

Superior performance in double-diffused MOSFET by multi-trench gate structure: physical investigation and design

The Double-diffused Metal-Oxide-Semiconductor (D-MOSFET) is the first Power MOSFET structure to be widely used across an extensive range of power levels. This article describes a physical investigation and design of D-MOSFET construction with superior performance. We introduce a groundbreaking exploration into the design of trench gates within U-shaped double-diffused MOSFETs (UDMOSFETs), focusing on Baliga’s figure of merit (BFOM). The findings provide valuable insights for advancing power semiconductor devices, underscoring the importance of trench gate technology in optimizing device performance. The BFOM reaches its peak when the doping concentration of the drift region (NDrift) is 6 × 1016 cm−3 with an indication of almost 40% improvement in MTG-UDMOSFET (M = 4) compared to C-UDMOSFET. Furthermore, within the optimum values of NDrift, length of the drift region, and depth of trench gate, the on-resistance in MTG-UDMOSFET (M = 4) experiences a 46% reduction compared to the conventional structure.

Quantitative measurement of urban spatial vitality by integrating physical built environment and subjective perception dimensions

Urban space vitality is a critical indicator for supporting rational urban spatial planning and updating and formulating sustainable development strategies. However, in many areas (e.g., aging urban areas), there is often a mismatch between the conditions of the physical built environment and its spatial attractiveness. Traditional methods based on physical space design theory often fail to accurately measure the spatial vitality of these areas. Street view images directly reflect the actual construction situation and effectively compensate for the lack of visual, subjective, perception dimension information. This study proposes a novel method that integrates objective and subjective dimensions to measure urban vitality, which is captured by incorporating spatial data of points of interest, building outlines, road networks, and street view images. Then, taking mobile phone signaling data as a source of ground truth validation, we choose Nanjing as a case study to demonstrate that our multidimensional fusion method exhibits higher explanatory power and better alignment with actual conditions by comparing it against single-dimensional methods. The results underscore the importance of integrating subjective and perceptual dimensions in measurements of urban vitality. We believe that the localized samples of the subjective perception survey will further enhance the accuracy and generalizability of this method in the future.

Critical therapeutic landscape design elements for cognitive impairments in the Royal Talbot rehabilitation centre

PurposeTherapeutic landscapes can be beneficial for patients recovering from cognitive and behavioural impairments. The therapeutic garden in the Royal Talbot rehabilitation centre (RTRC) located in Kew, Melbourne is a precedent for its nature design outdoor spaces and horticultural therapy (HT) program for patients with cognitive impairments due to brain and spinal cord injuries. There have been no studies into the physical design of the RTRC therapeutic garden.Design/methodology/approachThis case study unveils the critical design themes, and dominant physical elements of the RTRC therapeutic garden through site observation and analysis over the course of two months, a semi-structured interview with a key staff, and graphical representations using integrated photography and collaborative digital tools of AutoCAD and Adobe Photoshop.FindingsSeven critical design themes are identified for the RTRC garden: (1) space layout and organization, (2) physical and visual access, (3) pathway and facility, (4) multisensory vegetation, (5) amenity, wayfinding and seasonal interest, (6) cognitive stimulation, (7) utility and HT. Qualitative and quantitative data analysed in visual and descriptive format reveal multisensory vegetation, amenity, wayfinding and seasonal interest, and utility and HT are the top three most pivotal critical design themes in the RTRC therapeutic garden.Research limitations/implicationsThe findings of this case study can be used to impart knowledge about the design of therapeutic landscape settings for cognitive impairments to design professionals and the public.Originality/valueThere is no case study has been conducted for this precedent of therapeutic garden in the Royal Talbot rehabilitation centre that targets for cognitive impairment patients. With the increasing awareness in medical and healthcare environments, this case study would help to inject mutual understanding, generate knowledge and design awareness among design professionals and public, and to cultivate more good quality healthcare settings.

Development of a Novel Codesign Method for Use in Early-Stage High-Performance Craft Design

The performance requirements of modern vessels have increased significantly over time, introducing unique challenges in design and analysis. Driven by competition, such as in the case of racing craft, new high performance vessels require design spaces that push the envelope of hydrodynamic technology. This optimization knowledge resides in the experience of racing experts and hasn’t yet been translated into a naval architecture taxonomy. This paper seeks to bridge the knowledge gap between experienced race manufacturers and naval architects, and in doing so, delineate a design methodology. Modeling risk as a function of vessel speed, as well as coupling the design of the control system in conjunction with its physical design embodiment, allows the overall system to reach a greater point of optimality than what can be accomplished by traditional iterative design processes alone. The approach will be demonstrated utilizing the design of a University of Michigan student-led undergraduate high-speed, electric boat competition team design. The team’s goal is to develop a vessel that has a top speed of 135 mph. The paper will discuss how the team used marine design methodologies integrated with a novel codesign method to create the design that is currently under construction for professional racing use by the team.

Examining the intersection of carceral space and well‐being: Correctional officers' perspectives on old and new prison design

AbstractIn the current study, we explored the prison design and infrastructural changes that Canadian correctional officers consider to be essential in the construction of a new provincial correctional institution intended to replace Her Majesty's Penitentiary (HMP) in the Canadian province of Newfoundland and Labrador. Analyzing 28 semi‐structured interviews conducted with correctional officers employed at HMP, we found the poor working conditions within HMP are, at least in part, related to the physical design of the prison, including inadequate lighting, poor air quality and temperature, high sound levels, and other spatial limitations. Building on the prison design literature, findings suggest that while prison design requires attention to physical security at the forefront, there are ways to improve the space, recognizing how an uncomfortable workplace and living conditions also pose a potential threat to the well‐being and safety of correctional officers and people who are incarcerated.

Application of Simulation-Based Metrics to Improve the Daylight Performance of a Secondary School, An Approach for Green Building Designers and Architects

Visual comfort affects the quality of classrooms as well as student learning. A practice-oriented approach discovers how the gap between academic research and its application in building design can be addressed. Nevertheless, the physical characteristics design of daylighting systems, including window sizes, shapes, dimensions, and materials, are considered fundamental challenges for their practicability. In this study, the physical characteristics design of daylighting systems, including window sizes, shapes, dimensions, and materials, are considered in a designed sample school, and the daylight metrics were analyzed to achieve more trustworthy and applicable daylighting systems. Grasshopper (Honeybee-Ladybug), as a parametric control method, was applied to simulate the daylighting quality for various educational spaces in a secondary school in Sanandaj City, based on average ‘Daylight Factor’, ‘Daylight Autonomy’, ‘Useful Daylight Illuminance’, and ‘Annual Sunlight Exposure’. These metrics were examined to discover the relationship between window size and positions on visual comfort. The results indicate daylighting assessments are a solid approach to revising the architectural design mistakes at the primary designing phase. Architects and other building designers or energy consumption assessors can apply the design improvement process to present more sufficient and successful architectural details. This is a fundamental step toward the implementation of green buildings.

The Generation of Equal-Intensity and Multi-Focus Optical Vortices by a Composite Spiral Zone Plate

We propose a new vortex lens for producing multiple focused coaxial vortices with approximately equal intensities along the optical axis, termed equal-intensity multi-focus composite spiral zone plates (EMCSZPs). In this typical methodology, two concentric conventional spiral zone plates (SZPs) of different focal lengths were composited together and the alternate transparent and opaque zones were arranged with specific m-bonacci sequence. Based on the Fresnel–Kirchhoff diffraction theory, the focusing properties of the EMCSZPs were calculated in detail and the corresponding demonstration experiment was been carried out to verify our proposal. The investigations indicate that the EMCSZPs indeed exhibit superior performance, which accords well with our physical design. In addition, the topological charges (TCs) of the multi-focus vortices can be flexibly selected and controlled by optimizing the parameters of the zone plates. These findings which were demonstrated by the performed experiment may open new avenues towards improving the performance of biomedical imaging, quantum computation and optical manipulation.

Development of Disabled-Friendly Tourism Infrastructure: Providing Accessibility for All Tourists

This research aims to assess the level of accessibility of tourism infrastructure for people with disabilities and analyze the challenges faced in its development. Qualitative research method was employed with descriptive analysis of data from sources such as the Central Statistics Agency (BPS), World Tourism Organization (UNWTO), and previous studies. The findings indicate that tourism infrastructure is still far from adequate in meeting the needs of tourists with disabilities. Lack of regulations, budget constraints, and insufficient staff training are the primary challenges. As a solution, the Development Model of Disability-Friendly Tourism Infrastructure is recommended, including physical design considerations for accessibility, staff training, and provision of easily accessible information. Collaboration among government, tourism industry, and civil society is crucial in creating a more inclusive tourism environment.

Digitalisation of engineering design education: structured freedom, flipped engagement, hybridity, and transparency

ABSTRACT This paper contributes to current discussions of digital teaching and technology within the field of engineering design education. We enter this dialogue by analysing a hybrid digital learning design for a 15-ECTS engineering design course. The course design pedagogically integrates principles from networked learning research, Problem-Based learning (PBL), as well as established pedagogical traditions. Specifically, we analyse and discuss the case based on four pedagogical principles underpinning the course: structured freedom, flipped engagement, hybridity, and transparency. The purpose of our discussions is to understand and contribute knowledge of digitalising engineering design education. Specifically, our pedagogical approach to hybrid and digital modes of learning rethink and expand the integration of digital technologies in physical design studios in a PBL context by employing networked learning principles. Following this, we draw out interesting contributions that have emerged and use the discussions to feed into the ongoing research on digitalising engineering design education.

A domain knowledge-informed design space exploration methodology for mechanical layout design

Layout designs have a large number of design variables and various physical constraints. Conventional design exploration approaches are time-consuming and may require human intervention. A unique feature about physical layout designs is the availability of domain knowledge, which can be utilised to speed up the design process. In this paper, we propose a generative deep learning-based design space exploration (DSE) methodology that is capable of learning design constraints in the layout design without explicit supervision. Moreover, it can incorporate domain knowledge in the generated layouts, thereby speeding up the design process. This is realised by constructing a layout generation variational autoencoder (LGVAE) model, which uses a latent space as an interface to generate the layouts. By training the LGVAE model, significantly lower-dimensional representations can be learned compared to the original dimensionality of the design space. Therefore, the number of design variables is greatly reduced. We showcase the performance of the proposed DSE approach by solving the heat source layout design problem encountered in thermal management of chips. Experiments demonstrate that the LGVAE model is capable of generating compressed latent representations that capture the characteristics of the input samples, which makes the DSE cost-effective.

Floorplanning with Edge-aware Graph Attention Network and Hindsight Experience Replay

In this article, we focus on chip floorplanning, which aims to determine the location and orientation of circuit macros simultaneously, so the chip area and wirelength are minimized. As the highest level of abstraction in hierarchical physical design, floorplanning bridges the gap between the system-level design and the physical synthesis, whose quality directly influences downstream placement and routing. To tackle chip floorplanning, we propose an end-to-end reinforcement learning (RL) methodology with a hindsight experience replay technique. An edge-aware graph attention network (EAGAT) is developed to effectively encode the macro and connection features of the netlist graph. Moreover, we build a hierarchical decoder architecture mainly consisting of transformer and attention pointer mechanism to output floorplan actions. Since the RL agent automatically extracts knowledge about the solution space, the previously learned policy can be quickly transferred to optimize new unseen netlists. Experimental results demonstrate that, compared with state-of-the-art floorplanners, the proposed end-to-end methodology significantly optimizes area and wirelength on public GSRC and MCNC benchmarks.

Resilience framework for urban water supply systems planning

ABSTRACT As the concept of resilience is becoming a criterion in planning, water utilities are seeking support and practical guidance to enhance their conventional risk-based planning processes. This paper presents a resilience framework for urban water supply systems planning during the transition towards integrated water resources management. Based on a synthesis of literature across engineering, ecological and social sciences, resilient system performance is defined using crossings of fail-safe and safe-fail thresholds as key indicators. System performance curves conceptually illustrate the capabilities withstanding, absorptive, restorative, adaptive, transformative, and anticipative (WARATA), during sudden and gradual disruptions. Sustainability goals are explicitly considered in the resilience framework, and the role of transformative and anticipative capabilities to facilitate transitions is discussed. Specifically, the desirability of physical design and predicted community consequences from performance impact and collapse can be used in resilience management to prioritize between fail-safe and safe-fail system capacities. Finally, key considerations for operationalizing the framework are summarized, including how issues related to social justice can be addressed when simulating performance and deriving metrics. While this paper focuses on urban water supply, the framework could be applied to other service-providing infrastructure where resilience-based planning supported by quantitative evidence is required to inform investments.

Bridging the gap: a multidisciplinary approach to integrated care solutions for the aging population

AbstractThis study addresses the challenges of the ageing population, focusing on enhancing the life of caregivers and the elderly. It proposes a multifaceted solution that allows dependents to live close to their carers, enabling oversight without a need for constant presence. The paper employs empirical studies to ensure a deep understanding of caregiving, capturing the breadth and depth of challenges. Presenting a novel design solution, Hygge, combines physical and system design with technology integration. This prioritises accessibility, cost, maintenance, and adaptability for diverse needs.

Preliminary study of the multi—physics design for the support structure of LEM—X space mission

In this modern space exploration era, the lunar site offers new opportunities such as the deployment of an X—ray observatory capable of observing half of the sky simultaneously, but also may allowing access to the entire solid angle by exploiting the rotation of the moon around its own axis.The Lunar Electromagnetic Monitor in X—rays (LEM—X) is an All Sky Monitor for the X—ray band (2–50 keV) based on the concept of coded aperture camera. The basic element is the camera of the Wide Field Monitor and the concept is to realize a ”dome” composed of N identical modules that observe different directions, thus covering an overall simultaneous field of view of 2π in the sky. In this paper, we describe the preliminary study of a support structure for that camera, the design solutions adopted for the most important thermo—mechanical drivers, which have been elaborated and used for the demonstration of compliance to the system requirements with the environment. In particular, we reported some different thermal and mechanical scenario of this preliminary structure and the optimization of critical components with innovative and accurate fem analysis.

METAL: Methodology for liquid metal fast reactor core economic design and fuel loading pattern optimization

The design of Liquid Metal-cooled Fast Reactor (LMFR) cores encompass two levels of design. The first is the physical core design, which is concerned with the design of the fuel assembly geometry in the context of a full core. The second is the fuel loading design, which is an in-core fuel management problem concerned with the design of fuel enrichment and core loading pattern. In this paper, an optimized fuel design search is developed to improve core loading patterns. As part of the implementation, the multiphysics simulation suite LUPINE has been enhanced to allow for fuel shuffles and an in-core fuel management optimization methodology has been added with the objective of reducing the fuel cost. The design methodology is referred to as Methodology for Economical opTimization of Applied LMFR (METAL), and this methodology is demonstrated using the popular Super Power Reactor Innovative Small Modular (SPRISM) sodium-cooled fast reactor (SFR) as a reference core. One challenge currently facing the deployment of LMFRs is the availability of TRansUranium (TRU) and high assay low enriched uranium (HALEU) driver fuel. The two forms of fuel are expensive and not widely available, which poses a challenge on the startup of LMFR cores. To address the availability of driver fuel, and to lower fuel costs, low enriched uranium (LEU) blankets are investigated as replacements to the natural uranium or depleted uranium blankets typically used. The advantage of this solution is the wide availability of LEU and its ability to lower the amount of TRU or HALEU driver fuel needed. The design objectives, constraints, and optimization algorithm for a SFR are identified. Then, METAL is applied to design a SFR core fueled by TRU driver fuel assemblies and LEU blanket assemblies. To demonstrate the advantage of introducing LEU blankets, METAL is also used to design another SFR core following the same objectives and constraints, but using naturally enriched blankets. By comparing the two cores, it was found that the introduction of LEU blankets results in a ∼28% reduction in the driver fuel mass requirements. Upon development of a levelized fuel cycle cost (LFCC) model, the 28% reduction in driver fuel mass corresponds to a 10% decrease in the LFCC. Additional advantages of using LEU blankets include reducing the core conversion ratio (CR), and improving the assembly radial power peaking factor (RPPF), which enhances the safety and non-proliferation performances of the SFR core.

Video Analysis of Physical Education Teaching and Design of Intelligent Assistant Teaching System: Based on Motion Recognition and Optimization Algorithm

Nowadays, science and technology has rapidly increasing due to the specific requirements of education. The main aim of this technique is to enhance the physical education activities and helps sports man to finest teaching facilities of these activities. Moreover, the body changes with sports activities based on Deep Learning (DL) frameworks and classifier technology are examined to promote the practical application. Therefore, this paper Deep Reinforcement Learning based Chimp optimization (DRLbCO) algorithm was developed to improve the teaching efficiency of physical education system through the intelligent computer aided assessment models. Also, this model improving the performance, enhancing coaching effectiveness, and gaining competitive advantages in sports. Consequently, the proposed system is based on DL based image detection model DRL, which can analyse and provides proper actions in teaching students and enhance the ability of motion analysis in sports video training quality. Moreover, the DL model is integrated with optimization algorithm to optimize the performance. This could involve reinforcement learning, and other classifiers such as Support Vector Machine (SVM). Based on this provides feedback to students and teachers during physical education classes. The developed model is significantly enhances the physical education teaching student action in virtual sports instruction. Overall intention of the video assessment system of the sports training performance in analyzed.

Multi-Objective Design of a Horizontal Flow Subsurface Wetland

An artificial wetland is used to treat gray, waste, storm or industrial water. This is an engineering system that uses natural functions of vegetation, soil and organisms to provide secondary treatment to gray water. In the physical design of each artificial wetland, there are various action factors that must meet certain characteristics so that the level of gray-water pollution is reduced. In this sense, several design methodologies have been developed and reported in the literature, but some are customized designs and often do not meet the required decontamination objectives. This challenge increases as the complexity of the task in its structure also increases. Particularly in this work, a multi-objective evolutionary algorithm is used to optimize the physical design of a horizontal flow subsurface wetland (HFSW) for gray-water treatment. The study aims to achieve two objectives: first, to minimize the physical volume, and second, to maximize the contaminant removal efficiency. The defined objective functions depend on six design variables called hydraulic retention time, width, length, water depth inside the wetland, substrate depth and slope. Three constraint functions are also defined: removal efficiency greater than 95%, physical volume below 500 m3 and compliance with a length–width ratio is 3:1, varying the population size and number of generations equal to 200, 400, and 600. The set of solutions according to the number of generations as well as the Pareto front corresponds to the best solution that complies with the constraints of the problem of oversizing the HFSW, and the Pareto front shows the interaction between the objectives and their behavior, reflecting the problem’s nature as minimization–maximization.

Physical activity, exercise habits and health-related quality of life in maintenance hemodialysis patients: a multicenter cross-sectional study

BackgroundAlthough exercise has the potential to yield numerous benefits for maintenance hemodialysis patients, the relationship between physical activity, exercise habits, and health-related quality of life (HRQOL) has not been thoroughly investigated. This study aimed to characterize the physical activity, exercise habits, and HRQOL of maintenance hemodialysis patients while examining the associations between these factors.MethodsA convenience sampling was used to recruit 827 patients from 74 dialysis units in China. The structured questionnaire included sociodemographics, the International Physical Activity Questionnaire, exercise habits, and the Kidney Disease Quality of Life Short Form 1.3. An independent samples t-test, multivariable logistic regression analysis, and multivariable linear regression analysis were used.ResultsThe physical activity levels of 69% of participants were found to be below the recommendation of the World Health Organization. Despite 62.4% of participants reporting regular exercise, 73.8% reported light exercise intensity, and 92.6% engaged in walking or jogging. Participants’ HRQOL was higher in the low-intensity exercise group compared with the moderate-to-hard-intensity exercise group. Moderate-to-high physical activity was associated with better HRQOL in 13 of the 19 domains and regular exercise was linked to higher HRQOL in four of the 19 domains.ConclusionsThis study identified a low level of physical activity, light exercise intensity, and walking as the primary exercise type among the participants. A significant correlation was found between higher physical activity levels, regular exercise, and better HRQOL for maintenance hemodialysis patients. It is advisable to implement strategies to enhance physical activity levels and design exercise programs for maintenance hemodialysis patients based on their real-world physical activity levels and exercise habits.Graphical abstract

Exploration on Service Design of Integrated Online and Offline for the Food Nearing Its Expiration Date from the Perspective of Opposing Food Waste

Combining online digital application systems with offline physical design is currently a relatively complete service design system. In view of the increasingly prominent problem of waste caused by the food nearing its expiration date at present, the application of a combination of online and offline design methods can provide users and businesses with a comfortable user experience and commercial value. This paper investigated the consumers' consumption view of the food nearing its expiration date, understood their attitude and consumption motivation, conducted user log and behavior insight research on convenience store consumers, explored service design opportunities and experience contacts, and reconstructed a systematic and rational service system that combines online and offline services, from food production, sales to recycling and reuse. Give full play to the advantages of offline entity and online transparency and openness, and saving from the source of food, and maximize the promotion of sales and recycling of the food nearing its expiration date. It provides consumers with a comfortable user experience and ensuring the maximization of the interests of the food industry in order to save food.