Good Design Research Articles

Analysis of air-to-water converter frame using ANSYS simulation

According to projections made by the Indonesian Institute of Sciences (LIPI), by 2040 every region along Java's northern coast—from Banten to Surabaya and Iswara—will be an urban area vulnerable to water scarcity. As a result, more careful consideration is required. Since air is an endless supply, turning it into water is one way to address the clean water shortage. A good design's structure is one of its essential components. This is because the device's structure must sustain both the renewable energy source and the complete system. By utilizing ANSYS Workbench and theoretical calculations to analyze the maximum stress results, the research aims to ascertain whether the machine frame is safe for usage. In this investigation, the ANSYS 2021 R1 software was used to apply the finite element method to ASTM A36 material under vertical loading. The air-to-water converter mechanism is still safe after simulations were run on its shaft and frame. This is demonstrated by the biggest maximum stress on the shaft (6.2194 MPa) from the ANSYS numerical simulation and the largest maximum stress (0.349 MPa) on the frame, both of which are still below the allowable stress. Furthermore, a 0.9694 difference in safety factor was found between theoretical calculations and shaft simulation, and a 0.1573 difference was found for the frame. The safety factor acquired from the shaft was 1.6043, while the safety factor gained from the frame was 1.6073

Informing healthy urban policy making through quantitative health impact appraisal – a co-designed approach

Abstract Quantitative health impact appraisal for land use development is currently challenging. We show how a co-designed process between urban decision makers and academics can help to improve ways of deriving evidence for creating healthier cities. The Health Appraisal of Urban Systems (HAUS) economic valuation model was developed with local partners to inform a strategic framework for a UK urban regeneration site. HAUS is a comparative risk assessment model which allows the user to understand mechanisms for change through applying an impact-pathway approach to quantify changes in health. It is informed by systematic reviews of epidemiology and societal costs of 85 individual health end-points. Scenarios combined a range of characteristics including air and noise pollution, green space, crime, walkability, food environment and transport. Health outcomes include morbidity and mortality impacts. Results show the value of a holistic approach to comparing health risks in designing urban living. By monetising outcomes, practitioners were able to understand the relative magnitude of risk within a specific area and compare alternate urban development scenarios. Compared to an unmanaged development, the Strategic Framework can mitigate health risks by improving safety and quality of the public realm and add health benefits by encouraging activity and active commuting. Flood risks are managed, and green infrastructure improved and extended. These benefits extend to communities outside the site boundaries. Over 25 years, the PV benefits are £60 - 80 million in averted health costs. Strategic planning for urban areas can unlock the potential of the public realm to tackle health inequalities and mitigate serious risks to public health. Timely access to quantitative information on health can help inform understanding of unhealthy environments, strengthen arguments for good design, reinforce capacity of planning teams and so improve the quality of urban developments. Speakers/Panelists Odile Mekel NRW Centre for Health, Bochum, Germany

Energy Transition Policy of the Mexican Electricity Sector: A Representation in Terms of the Theory of Change

Energy transition in the electricity sector is central to limiting global warming to 1.5 °C. Countries around the world rely on official planning documents, such as strategies, special programs, and action plans, to guide these efforts. However, there are few systematic approaches and tools that can help policy makers determine comprehensiveness, coherence, consistency, and coordination when designing these planning documents. This represents a risk to meet energy transition and climate change goals if the relationships of policies and actions included in these documents are not addressed properly. To this end, this paper proposes an approach to model hierarchical relationships using the theory of change, while causal relationships are allocated using policy makers’ experience (yet can also be exogenously allocated using other models). As a case study, this work investigates Mexico’s energy transition policy of the electricity sector over the 2013–2018 period. The results show that Mexico’s official planning documents lack a good design since most policies and actions are not articulated in the right sequence and privilege clean centralized and distributed generation and energy efficiency, while others related to the modernization of electrical grids and climate and environmental policies are barely included.

Ensemble Docking as a Tool for the Rational Design of Peptidomimetic Staphylococcus aureus Sortase A Inhibitors.

Sortase A (SrtA) of Staphylococcus aureus has long been shown to be a relevant molecular target for antibacterial development. Moreover, the designed SrtA inhibitors act via the antivirulence mechanism, potentially causing less evolutional pressure and reduced antimicrobial resistance. However, no marketed drugs or even drug candidates have been reported until recently, despite numerous efforts in the field. SrtA has been shown to be a tough target for rational structure-based drug design (SBDD), which hampers the regular development of small-molecule inhibitors using the available arsenal of drug discovery tools. Recently, several oligopeptides resembling the sorting sequence LPxTG (Leu-Pro-Any-Thr-Gly) of the native substrates of SrtA were reported to be active in the micromolar range. Despite the good experimental design of those works, their molecular modeling parts are still not convincing enough to be used as a basis for a rational modification of peptidic inhibitors. In this work, we propose to use the ensemble docking approach, in which the relevant SrtA conformations are extracted from the molecular dynamics simulation of the LPRDA (Leu-Pro-Arg-Asp-Ala)-SrtA complex, to effectively represent the most significant and diverse target conformations. The developed protocol is shown to describe the known experimental data well and then is applied to a series of new peptidomimetic molecules resembling the active oligopeptide structures reported previously in order to prioritize structures from this work for further synthesis and activity testing. The proposed approach is compared to existing alternatives, and further directions for its development are outlined.

Optimization of reduction gear in anchor winch based on modal analysis

In order to achieve more scientific design of the reduction gear and reduce material waste, pre-stressed modal analysis method was combined with multi-objective optimization algorithm to optimize the structure of the reduction gear basic body. The model was simplified and parameterized and the maximum stress and equivalent stiffness under different parameter size combinations were obtained through finite element analysis. Separately, genetic clustering method, neural network method, and Kriging method were used to construct the response surface function. Through error verification and comparison, it was found that the Kriging method was more suitable for the gear model. In the design of variable extremum search, multi-objective genetic algorithm and sequential quadratic programming were compared and analyzed. The results show that the mass of the gear can be reduced by 39.9 %, while the maximum stress remains unchanged, the equivalent stiffness is not reduced, and a good optimization design effect is achieved.

Analysis and optimization of the dynamic response characteristics of aircraft cargo rack

In order to effectively achieve the optimization design of the aircraft cargo rack, based on finite element modal simulation, the structure was redesigned and analyzed using two schemes of surrogate model size optimization and topology optimization, ensuring the strength requirements while improving the natural frequency and reducing the weight. According to the modal shape of vibration, additional bridge structures were added at the weak points to improve the dynamic stiffness of the structure. According to the optimization design requirements, the response surface function was constructed, and the particle swarm optimization algorithm was applied in the size optimization and surrogate model solution. A multi-objective optimization model was established for flexibility and low-order natural frequencies, and topology optimization was carried out in HyperWorks. The structural dynamic modification of the topology optimization model was performed using the modal strain energy analysis method. The research results show that both optimization methods can achieve good lightweight design. The static performance of the optimized structure is stable, and the overall modal frequency is improved.

Integrated design and procurement strategy to achieve efficient performance in design and build government project

Design and procurement integration strategies in construction projects play an important role and have an impact on the overall project cycle. Integrated design and procurement will increase productivity and reduce waste. This research aims to provide a guide to good design and procurement integration strategies in Design and Build (DB) projects in government projects. This research uses qualitative and quantitative methods in the form of a schematic literature review followed by a Focus Group Discussion (FGD) with the Delphi method to formulate integrated design and procurement that improve project performance. In-depth interviews were conducted with 90 respondents to explore the implementation of the design and procurement strategy on the project used as a case study. The results of this research are recommendations for an integrated design and procurement strategy which can be used as a Standard Operating Procedure (SOP) in DB projects on government projects so that it can provide added value from the start of the project being designed through tenders. This research can be utilized by project stakeholders, academics and anyone who will develop project performance through the integrated design and procurement in the long term.

Bionic Optimization Design and Fatigue Life Prediction of a Honeycomb-Structured Wheel Hub.

The wheel hub is an important component of the wheel, and a good hub design can significantly improve vehicle handling, stability, and braking performance, ensuring safe driving. This article optimized the hub structure through morphological aspects, where reducing the hub weight contributed to enhanced fuel efficiency and overall vehicle performance. By referencing honeycombed structures, a bionic hub design is numerically simulated using finite element analysis and response surface optimization. The results showed that under the optimization of the response surface analytical model, the maximum stress of the optimized bionic hub was 109.34 MPa, compared to 119.77 MPa for the standard hub, representing an 8.7% reduction in maximum stress. The standard hub weighs 34.02 kg, while the optimized hub weight was reduced to 29.89 kg, a decrease of 12.13%. A fatigue analysis on the optimized hub indicated that at a stress of 109.34 MPa, the minimum load cycles were 4.217 × 105 at the connection point with the half-shaft, meeting the fatigue life requirements for commercial vehicle hubs outlined in the national standard GB/T 5334-2021.

Building and testing of a robotic intervention framework to enhancing the social engagement of children with autism spectrum disorder

Purpose Humanoid robot intervention programmes for children with autism spectrum disorder (ASD) are being developed rapidly. This study aimed to develop and test a robotic intervention framework for children with ASD to ensure best practice. Methods In Phase I of this study, an initial framework was built based on a scoping review. This review aimed to identify the core elements conducive to effective robotic intervention programmes for children with ASD. In Phase II, the content of the initial framework was verified using a case study approach in a real-life setting. Results The robotic intervention framework, which comprised three domains, was built and tested. The three domains were robot-, child-, and programme-related factors. Elements within each domain were identified and verified in real-life contexts. Conclusions The proposed framework will enhance evidence-based practice in robotic intervention programmes. However, further clinical testing is warranted to enhance the efficacy and validity of this framework. A good programme design incorporating all essential elements for effective intervention will ensure the success of the training programme for children with ASD.

Analysis of Software Patterns to resolve Design Problems

A reproducible solution to a frequently occurring problem in software design was described as a software pattern, also known as a design pattern. It was a tested method for resolving kinds of software design issues that had been classified and identified by several years of experience and best practices. The key to making safe and accessible software was good software design. There were different types of design problems. Solving those problems was very important to produce good and efficient software. There were some tools, techniques, and patterns to solve these problems. Software design knowledge could be effectively captured and communicated using design patterns. Within a particular context of software design, a software design pattern was a standardized, repeatable solution to a frequently occurring problem. The patterns were effective for software design on several levels. In this paper, we identified the major design problems. Then we have analyzed those problems and present design patterns to develop an effective software design.

Darwinian Philosophy as Optimization Method for Design High Reflection Mirror Include New Merit Function

In this paper we proposes the philosophy of the Darwinian selection as synthesis method called Genetic algorithm ( GA ), and include new merit function with simple form then its uses in other works for designing one of the kinds of multilayer optical filters called high reflection mirror. Here we intend to investigate solutions for many practical problems. This work appears designed high reflection mirror that have good performance with reduction the number of layers, which can enable one to controlling the errors effect of the thickness layers on the final product, where in this work we can yield such a solution in a very shorter time by controlling the length of the chromosome and optimal genetic operators . Result shows that the construction of multilayer high reflection mirror using in this approach can be considered as a master stone for design another type of filters with most complicated performance, and it is difficult designing in other approach The experiment results demonstrate that our approach is a powerful technique. It is enable to locate the global optimum optimal automatically with high confidence without need for a good starting design.

Aligning residential acoustic design guidance with the health evidence: a new proposal for the UK

BS 8233 is a British Standard widely used for its residential design guidance. The current version specifies guidelines for internal sound levels within dwellings with partially open or closed windows. However, the epidemiological evidence on the health effects of environmental noise is largely expressed in terms of external sound levels. We propose a change to a two-step approach. First the external sound levels are used as the primary design driver for good environmental acoustic design, to align with the noise and health evidence. Good environmental acoustic design is a process that can minimise external sound impact through appropriate measures such as site layout, building orientation, massing, landscaping, and noise barriers. The impact of environmental sound is quantified in terms of its health effect (DALYs) and monetary social cost (GBP) to define categories of adverse effect that can help inform decision-making. Once external levels are minimised through good environmental acoustic design, the building envelope can provide mitigation to achieve a good internal environmental quality. The proposed approach moves away from prescribing fixed internal targets in all cases. Instead, it considers ventilation needs for indoor air quality and provisions for mitigating overheating risks holistically alongside internal acoustic conditions.

Deciphering the evolution of metaverse - A techno-functional perspective in digital marketing

The metaverse has disrupted the traditional marketing practices and it has potential to transform entire world of marketing activities with thrilling immersive experiences. This study provides an analysis of evolving field of metaverse marketing in the context of information systems using state of the art bibliometric and scientometric tools coupled with machine learning algorithms. Utilizing 257 documents from Scopus database that published between 1996 and 2024, this research maps and unveils the development of metaverse marketing from its inception and the role of information systems in its evolution. The analysis of literature resulted in five main emerging themes of the role of information systems in metaverse marketing research as User Experience, Customer engagement, Convergence of metaverse Technology, Design of virtual goods & experience and Global Social Interaction. The major sub-themes of the study are User Behaviors and Preferences, Branding on virtual environment, Virtual reality, Virtual wearables and Virtual Socialization. This study also reveals the emerging trends and gaps in literature that pave the ways for future research expansion in the information systems and metaverse marketing. Few of the important future research areas identified are understanding user experience, design of immersive customer engagement strategies, customer virtual presence and Security & privacy concerns of the users on metaverse platform.

Half the price, twice the gain: How to simultaneously decrease animal numbers and increase precision with good experimental design.

Animal research often involves experiments in which the effect of several factors on a particular outcome is of scientific interest. Many researchers approach such experiments by varying just one factor at a time. As a consequence, they design and analyze the experiments based on a pairwise comparison between two groups. However, this approach uses unreasonably large numbers of animals and leads to severe limitations in terms of the research questions that can be answered. Factorial designs and analyses offer a more efficient way to perform and assess experiments with multiple factors of interest. We will illustrate the basic principles behind these designs, discussing a simple example with only two factors before suggesting how to design and analyze more complex experiments involving larger numbers of factors based on multiway analysis of variance.

Stop Fooling Yourself! (Diagnosing and Treating Confirmation Bias).

Confirmation bias (CB) is a cognitive bias that allows us to fool ourselves by selectively filtering data and distorting analyses to support favored beliefs or hypotheses. In this article, I will briefly review some classic experiments from cognitive psychology that illustrate what a powerful, pernicious, and insidious force CB is. I will then discuss how to recognize CB in our own thinking and behavior and describe specific elements of good experimental design that can mitigate its effects. These elements-such as randomization and blinding-are conceptually straightforward but often difficult in practice and therefore not as widely implemented as they should be.

디자인이 연구개발 성과에 미치는 영향 및 성공 사례 분석

The Technology Readiness Level (TRL), which is a research and development stage, is an indicator of the maturity of technology and is used to judge the progress of research and technology. As the TRL stage increases, the development is completed and the level of commercialization is nearing completion. During this process, design intervention is acting as an essential element in commercialization and technology transfer, unlike in the past. In particular, the definition of design concepts and detailed design elements must be made at the prototyping stage of TRL stage 3, which is very advantageous for future technology commercialization. Accordingly, we analyzed the impact and success factors of design by reviewing major domestic and international cases that achieved results through design in various research and development fields (6T) and research purposes. In addition, we investigated the contribution of design through interviews with experts in the field of advanced industrial technology (IT, ET, etc.) using the Good Design evaluation index. In particular, we specified the role of design applicable to each TRL stage based on the design process and presented specific methods such as the definition of design specifications. In conclusion, we have once again confirmed that recognizing the need for designers' active participation in R&D projects and establishing a convergence process centered on commercialization through design convergence are very important factors in creating R&D results.

Development and optimization of dual-objective PVT modules for a smart residential building using inclined fins

According to the sustainable development strategy, air-based photovoltaic-thermal (PVT) modules integrated with smart buildings are an effective and environmentally safe option for producing electricity and heating purposes to overcome the problem of scarcity and environmental pollution resulting from fossil fuels. Despite the importance of PVT modules, this technology has not achieved the required diffusion rates compared to other solar energy technologies due to its low overall efficiency. Therefore, the present study aims to develop the design of a heat transfer system integrated with PVT modules. To achieve this goal, the design of a heat transfer system was developed by adding 45° inclined fins integrated with the cooling channel to generate swirling movement near the back surface of PVT modules and increase the heat transfer area. To illustrate the best location for installing 45° inclined fins that achieve the highest performance improvement of PVT modules, we suggested two positions for installing 45° inclined fins and compared them with the dual-objective classical PVT modules (DO-CPVT) without fins. The first case is dual-objective PVT modules with top-inclined fins (DO-PVT&TIF). The second case is the dual-objective PVT modules with bottom-inclined fins (DO-PVT&BIF). The results presented that, dual-objective PVT modules with top-inclined fins (DO-PVT&TIF) represent a good design that achieves the highest performance. The improvement in thermal efficiency, electricity generation, overall energy efficiency, total exergy efficiency, and sustainability index for using DO-PVT&TIF modules reached 231 %, 11.5 %, 133.8 %, 19.3 %, and 4.3 %, respectively compared to classical DO-CPVT.

A Design Proposal Using Coherently Radiating Periodic Structures (CORPSs) for 2-D Phased Arrays of Limited Scanning

New configurations of 2-D phased arrays are proposed in this paper for reducing the number of phase shifters. This design methodology is based on the use of a novel coherently radiating periodic structures (CORPSs) block for 2-D phased arrays. Two new antenna systems for 2-D phased arrays are studied and analyzed utilizing the CORPSs blocks of four inputs and nine outputs. These CORPSs feeding blocks are applied in a smart way to feed the planar antenna arrays by generating the required phase plane and reducing the number of control ports. Interesting results are provided based on the experimental measurements and full-wave simulations. These results illustrate a great reduction of the active devices (phase shifters), providing a good design compromise in terms of the scanning range and side lobe level performance. Furthermore, the provided results illustrate a maximum reduction capability in the number of phase shifters of 81%, considering a scanning range of ±30° in azimuth and ±30° in elevation. A raised cosine distribution is applied to reach side lobe levels of −19 dB for ±18° and −17 dB for ±30° in elevation. These benefits could be of interest to designers of phased antenna systems.

Synthesis of novel selenium nanohybrid for biotechnology and risk assessment of multi-drug resistance bacteria

Relatively recently, the significance of nanomaterials in several domains like materials science, chemistry, and biology has increased dramatically. Selenium is a vital trace element of enormous importance involved in electronics, sensors, catalysis, optics, and biological applications. The study's objective was to synthesize an enterocin conjugate with selenium nanoparticles to form a nanohybrid system that may increase the bioactivity of enterocin and overcome these hurdles. The nanohybrid system was characterized using the use of UV–vis, FTIR, XRD, EDX, TEM, Zeta potential and SEM. This system was used to health one risk assessment multi-drug resistance bacteria. The designed nanohybrid system showed high ability to growth inhibition of all these bacteria. As a result, the nanohybrid showed strong antibacterial activity against MDR bacteria using several accepted techniques. The biocidal effects of nanohybrid on tested bacteria was investigated using SEM. Upon examination, the results revealed damage, blebs, fusion, clumping, and uneven distribution in the cell wall of the tested bacteria, ultimately leading to cell death. The results showed that the system is good engineering design to kill bacteria. In addition, compared with bacteriocin alone, the nanohybrid showed promising antioxidant activity in vitro.

User-Centered Design in the Face of Limited User Access

Time with users is a precious commodity that has become increasingly difficult to come by, making it difficult to always employ traditional user study methods. Such methods also run into challenges in sensitive industries, where it is not always possible to openly engage with end-users. These barriers jeopardize good design, and limited user access seeds temptation to bypass user engagement altogether. The primary goal of this work is to share techniques and lessons learned for successful user engagement in the face of limited access to end-users. Three methods are presented here, usage of subject matter experts (SMEs), analogous use cases, and surrogate users, along with key successes and challenges for each. The lessons, limitations, and suggestions presented here reflect work performed across multiple projects over the past several years, where we have utilized combinations of these techniques for conducting user-centered design in the absence of regular direct user engagement.