Design Concept Research Articles

Evaluation of different evaluation methods for selection of a conceptual design

Designing plays an important part in the production of an artifact, as it is the mental creation before the product becomes a reality. It also plays an interesting engineering activity that affects almost all areas of human life and uses the laws and insights of science. After the various design concepts have been successfully carried out, the evaluation stage becomes crucial in the selection of the best solution. A thorough study of the literature suggests that not too many works have been done on evaluating different evaluation methods in selecting a concept. The objective of this study was to evaluate four design concept evaluation methods for selecting a car hitch. The study found that for a robust selection of solutions, Verein Deutscher Ingenieure (VDI) guidelines and Technical Economic Evaluations were more appropriate to be used.

Design and construction of small-scaled variable modular installation (SVMI) in the context of Chinese street renewal (CSR) : A case study of the "Jingzhang Box" (JZB) service installation in Beijing

China's urban areas are entering an era of stock renewal, where street renewal is receiving policy attention and practical project implementation. However, the challenges posed by spatial constraints and insufficient functional activities on the streets have led to street renewal failing to meet public demands. Small Variable Modular Installations (SVMI) possess a high degree of adaptability to constrained spaces and a flexible capacity to shape diverse functions, making them a targeted strategy in theory to address the challenges of street renewal. Nevertheless, there is a research gap in the context of Chinese street renewal (CSR) concerning the design, and construction of SVMI: an insufficient exploration of combined variable and modular technology solutions and practical construction techniques and methods. In response to this research gap, this study focuses on the "Jing-Zhang Box" (JZB) service installation in Beijing, providing specific analysis of its design concept, design technical points, application functions, spatial structure and connection methods, construction methods, and construction outcomes. This study aims to provide specific supplementation to the research on SVMI design and construction in the context of CSR and to offer theoretical and engineering foundations for the future design and practical construction of SVMI in various scenarios.

Effect of Platform Configurations and Environmental Conditions on the Performance of Floating Solar Photovoltaic Structures

The growth and development of floating solar photovoltaic (FPV) power plants is a prominent topic within renewable energy technology. One reason contributing to this desired technology design concept is the possibility of land acquisition issues, whereas the usage of the ocean provides a greater technical alternative area. The objective of the research is to present an innovative design for a floating structure, focusing on investigating and comparing the seakeeping performance of several hull configurations: catamaran, trimaran, quadrimaran and pentamaran. The final computational simulation results indicate a linear negative trend in the motion response graphs, particularly in specific significant response values for heave (Global Z), roll (Global RX), and pitch (Global RY), as the hull configuration increases.

Heterostructure Engineering Enables MoSe2 with Superior Alkali-Ion Storage

Molybdenum diselenide (MoSe2) is a promising anode for alkali-ion storage due to its intrinsic advantages. However, MoSe2 still encounters the issues of structural instability and poor rate performance caused by drastic volume change and sluggish reaction kinetics. Reasonable design of electrode structure is crucial for achieving superior electrochemical performance. Herein, a novel hierarchical structure coupled with 1D/1D subunits is elaborately designed and constructed, in which the MoSe2/CoSe2 heterostructure is the “trunk” and the N-doped carbon nanotubes are the “branches” (MoSe2/CoSe2/NCNTs). Benefiting from the properties endowed by unique configurations, MoSe2/CoSe2/NCNTs electrodes manifest faster reaction kinetics and better structure durability. Evaluated as an anode for LIBs and SIBs, MoSe2/CoSe2/NCNTs deliver high reversible capacity, superior rate capability (452 at 10 A g−1 in LIBs and 296 at 10 A g−1 in SIBs), and prominent cycle life (553 after 2000 cycles at 5 A g−1 in LIBs and 310 after 2000 cycles at 5 A g−1 in SIBs). Such design conception can also provide guidance for the development of other high-performance electrodes.

Alternative application of availability and deliverability studies to reduce the energy sectors’ carbon emissions

The objective of the paper is to present the advantages of utilising reliability, availability and maintainability (RAM) studies as a decision-making tool for the deployment of carbon capture and storage (CCS), by providing detailed and quantifiable CCS rates of the analysed design concept. The study used methodology to predict carbon capture rates with high confidence for several compression and dehydration train design concepts. This allowed the operator to make decisions on the most cost-efficient design, while having a confident understanding of the design-specific carbon capture potentials. The most favourable CCS concept was combined with the existing liquefied natural gas plant RAM model and production profile for a detailed analysis of remaining daily carbon dioxide (CO2) venting rates as a result of potential CCS outages. The RAM models are based on generic and proven reliability data and include a level of detail that ensures a very reliable prediction of exact carbon capture rates. Besides analysing and comparing the design concept results as system availability, the CCS concept was analysed for its carbon capture deliverability. This provided the operator with a high confidence of average as well as monthly CO2 capture and venting rates for selected CO2 production profiles. The application of RAM for CCS and other energy sustainability projects has proven to be a powerful tool, allowing operators to make informed decisions towards achieving net-zero efficiency. Providing operators with an accurate and long-term prediction of their carbon footprint, when analysed in combination with their energy portfolio.

The influence of industrial designers and developmental technologists on design-driven innovation and related mechanisms

ABSTRACT Design-driven innovation (DDI) is a concept that promotes product innovation by giving new meaning to existing products. However, there are divergent views on who starts the DDI process and what kinds of activities are carried out within it. Therefore, this study analyzed four cases that succeeded in de-maturing the Japanese electric fan market to confirm whether there are differences in DDI processes, outcomes of new products, and post-launch spillover effects on new businesses between DDI originating from industrial designers (IDs) and that originating from developmental technologists (DTs). This study also aimed to elucidate the mechanisms by which these differences may arise. Our results showed that the difference in the way of thinking caused by the different knowledge and skills possessed by IDs and DTs affects the selection of core design concepts and product architecture. This was a fundamental factor that caused differences in DDI processes, the outcomes of new products, and the ripple effect on new businesses.

Frequency-extended inverse design of transmission-type linear-to-circular polarization control metasurface based on deep learning

Due to the parameter range limitations of the training dataset, traditional inverse prediction network models can only predict structure parameters of the metasurface within a limited frequency range. When the given design targets exceed the prediction range of network models, the predicted results will not match the actual results. This paper proposes a frequency-extended inverse design method (FEIDM) based on deep learning to address the problem. The method can automatically collect the required data and train the network model based on the center working frequency of the design targets, thereby achieving accurate prediction of metasurface structural parameters and effectively reducing labor and computational costs. Taking the transmission-type linear-to-circular polarization control metasurface as an example, the unit cell of the metasurface is first established in the paper. The structural parameters and corresponding electromagnetic parameters are collected without changing the unit size of the metasurface, and an initial inverse prediction network model (IIPNM) is constructed. The research results indicate that its predictable center working frequency range is 3–5.5 GHz. Using the design concept proposed in this paper, a program is constructed, it can automatically achieve data collection, target extraction, network model training, and prediction. Four given design targets are predicted. Among them, the center working frequencies of the three design targets are outside the initial predictable range. The predicted results meet the requirements of the given target, verifying the effectiveness of the proposed scheme. Finally, a set of parameters is selected to fabricate, and the experimental results are consistent with the simulation results. The research results can provide a reference for the efficient prediction of metasurface structural parameters over a wide frequency band.

RuiXue Multi-Hall-Human machine collaboration in reciprocal structures

This article centers on the RuiXue Multi-Hall architectural design project in Chengdu, China, with a specific focus on a comprehensive workflow framework that integrates reciprocal geometric design and digital construction methods, primarily within the context of shell structures. The research expands on the concepts of structural design, adjustments of performance parameters, and the optimization of free-form shells. In addition, it outlines the spatial design approach for the shell structure. The study delves into reciprocal geometric design for the existing shell structure, establishing a library of reciprocal geometric shapes suitable for architectural design. The primary focus is on the application of these shapes to the shell structure, optimizing parameters for several grids within the library, and comparing various design schemes. Furthermore, the article discusses digital construction methods for the existing shell space and reciprocal structure, with a specific emphasis on the material performance of timber components. This discussion includes reciprocal timber structures and 3D-printed roofs for shell surfaces, all guided by a geometric control system to facilitate an interactive design and construction process. This research on reciprocal geometric design and digital construction methods for shell structures holds dual significance. It not only traces the historical development of reciprocal structures but also explores innovative construction methods using digital technology. The establishment of a comprehensive framework for reciprocal geometric design-construction is expected to catalyze innovative breakthroughs in future architectural design, spanning aspects such as space, form, materials, and structure.

Acoustically Enhanced Triboelectric Stethoscope for Ultrasensitive Cardiac Sounds Sensing and Disease Diagnosis.

Electronic stethoscope used to detect cardiac sounds that contains essential clinical information is a primary tool for diagnosis of various cardiac disorders. However, the linear electro-mechanical constitutive relation makes conventional piezoelectric sensors rather ineffective to detect low-intensity, low-frequency heart acoustic signal without the assistance of complex filtering and amplification circuits. Herein, we find that triboelectric sensor features superior advantages over piezoelectric one for micro-quantity sensing originated from the fast saturated constitutive characteristic. As a result, the triboelectric sensor shows ultrahigh sensitivity (1215mV/Pa) than the piezoelectric counterpart (21mV/Pa) in the sound pressure range of 50 - 80dB under the same testing condition. By designing a trumpet-shaped auscultatory cavity with a power function cross-section to achieve acoustic energy converging and impedance matching, triboelectric stethoscope delivers 36dB signal-to-noise ratio for human test (2.3 times of that for piezoelectric one). Further combining with machine learning, five cardiac states can be diagnosed at 97% accuracy. In general, the triboelectric sensor is distinctly unique in basic mechanism, provides a novel design concept for sensing micromechanical quantities, and presents significant potential for application in cardiac sounds sensing and disease diagnosis. This article is protected by copyright. All rights reserved.

Optimization of Aircraft Fuel Systems Considering Fluid Dynamics Principles

The fuel system is the lifeline of any aircraft, pivotal for its operation and future advancements. This study delves into aircraft fuel system design methodologies, aiming to streamline development processes. Through optimization and matrix methods like the morphological matrix, Saab Aerospace pioneer’s conceptual designs. These methods automate development and deepen our understanding of how top-level requirements impact engineering details. Quantifying matrices opens doors to design optimization and probabilistic design. Furthermore, a systematic approach to simulation modeling minimizes development time, leveraging parallel development and collaborative engineering. With stakeholder expectations in mind, experience gleaned from projects like the Gripen fuel system shapes an overarching process for future endeavors. This journey promises to reshape aircraft fuel system design, ensuring each drop of fuel propels us towards boundless horizons. Key Words: Aerospace engineering, Fuel system, Optimization techniques, Matrix methods, Simulation models, Conceptual design, System integration, Aircraft performance, Fuel tank configurations, Operational flexibility, Gripen Fuel, DSM- Design Structure Matrix

PARTS—A 2D Self-Reconfigurable Programmable Mechanical Structure

PARTS—A 2D Self-Reconfigurable Programmable Mechanical Structure

Anticancer Therapy with Proteolysis-targeting Chimeras [PROTACs] Targeting Towards the Tumor-microenvironment: Development, Current State and Prospects

Abstract: Targeted protein degradation is a rapidly expanding area that offers hope for novel approaches to combat drug resistance. The creation of heterobifunctional proteolysis-targeting chimeras [PROTACs], a new group of pharmaceutical compounds, has made TPD a useful method for completely getting rid of harmful proteins using regular small-molecule inhibitors. A big plus is that PROTACs can target multi-domain proteins that cannot be broken down. This is the case, particularly for proteins lacking a conserved interaction surface for small-molecule ligands [SMIs] and featuring smooth surfaces. Poor oral bioavailability and pharmacokinetic [PK] and ADMET [absorption, distribution, metabolism, excretion, and toxicity] characteristics are among the long-term issues with traditional PROTACs. Their larger size and more complex structure set them apart from other smallmolecule inhibitors, which is why they are so effective. Clinical studies have been conducted on a plethora of PROTAC compounds in the past 20 years, all with the goal of inducing the degradation of targets relevant to cancer. In this article, we closely examine the major developments and recent advancements in PROTAC technology. We seek to summarize and fully assess PROTAC-based targeted protein degradation studies on "undruggable" targets. Discussing their molecular structure, action mechanism, design concepts, development benefits, and obstacles will help to illustrate the significance of developing highly successful PROTAC-based techniques in treating many illnesses, including cancer treatment resistance.

Voltage balancing for active power filter using dual-frequency multicarrier modulation with balanced H-bridge control

In this paper, a switching control method integrated with voltage balancing feature is presented to manage operation of single-phase 5-level cascaded H-bridge (CHB) inverter as parallel-connected active power filter (PAPF), and at the same time maintain its voltage balance. CHB inverters are always preferred for PAPF due to their dominating features of modularity, flexibility and least components count. However, inherent voltage unbalance issues of CHB inverter which is due particularly to unequal switching operation across its individual H-bridge module have always been the most troublesome when handling CHB inverter. For consistent voltage balance across each H-bridge module, proportional-integral (PI) controller for voltage balancing control and multicarrier sinusoidal pulse-width modulation (MCSPWM) for switching control have commonly been integrated together. However, these conventional approaches do not directly address the issue of unequal switching. Hence, in this work, effort is performed to allow each individual H-bridge module to operate with balance switching pattern, by evenly distributing the PWM switching signal to them. Design concept of the proposed method is modeled in MATLAB-Simulink platform. To critically assess its effectiveness, comparative analysis involving two types of highly nonlinear rectifier loads and distorted grid is performed. The presented simulation findings confirmed effectiveness of the proposed method in maintaining voltage balance of the 5-level CHB inverter when mitigating harmonics under adverse grid.

Electronic Properties of W’ Twin Walls in Ferroelastic BiVO4

AbstractTopological defects in ferroic materials can exhibit intrinsic properties that differ from the bulk. Here， structural and electronic variations of non‐prominent (W’) ferroelastic twin domain walls are investigated in BiVO4, a widely investigated photocatalytic material. Using aberration‐corrected scanning transmission electron microscopy (STEM), a kink configuration of the sharp ferroelastic twin wall with an altered electronic structure is revealed. Nanoscale conductivity measurements by conductive atomic force microscopy (c‐AFM) show higher conductivity at twin walls compared to non‐conductive bulk domains. Electronic structure investigation by electron energy loss spectroscopy (EELS) shows a higher density of oxygen vacancies and possible polaron accumulation at the wall. These findings reveal the electronic properties of BiVO4 domain walls, which are interesting for nanoscale‐engineered catalytic concepts of BiVO4 and materials design for photochemistry‐relevant applications.

Single Molecular Nanomedicines Based on Macrocyclic Carrier-Drug Conjugates for Concentration-Independent Encapsulation and Precise Activation of Drugs.

Nanomedicines often rely on noncovalent self-assembly and encapsulation for drug loading and delivery. However, challenges such as reproducibility issues due to the multicomponent nature, off-target activation caused by premature drug release, and complex pharmacokinetics arising from assembly dissociation have hindered their clinical translation. In this study, we introduce an innovative design concept termed single molecular nanomedicine (SMNM) based on macrocyclic carrier-drug conjugates. Through the covalent linkage of two chemotherapy drugs to a hypoxia-cleavable macrocyclic carrier, azocalix[4]arene, we obtained two self-included complexes to serve as SMNMs. The intramolecular inclusion feature of the SMNMs has not only demonstrated comprehensive shielding and protection for the drugs but also effectively prevented off-target drug leakage, thereby significantly reducing their side effects and enhancing their antitumor therapeutic efficacy. Additionally, the attributes of being a single component and molecularly dispersed confer advantages such as ease of preparation and good reproducibility for SMNMs, which is desirable for clinical applications.

Compact off-axis reflective optical system design combining freeform mirror and freeform detector

Minimizing system size and weight without sacrificing the desired imaging performance is a crucial and challenging goal in the design of off-axis optical systems. In this paper, we propose a design concept that combines freeform mirror and freeform detector to achieve more compact off-axis optical systems. Initially, by applying nodal aberration theory, the optimal focal surface shape for off-axis systems is demonstrated to be an off-axis paraboloid or even a freeform surface, rather than the commonly assumed spherical shape. Subsequently, we show the ability of the design concept to reduce off-axis system volume through a design example of a fast and wide-field off-axis three-mirror system. Results indicate that, under the same design parameters and imaging quality, the design with a freeform detector is 80% smaller than that with a flat detector in terms of volume. Finally, the bending capability of the freeform detector presented in this paper is ensured through finite element analysis, and its surface accuracy is achievable based on the current precision level of curved detector fabrication. The proposed design concept holds promise for application in planetary science, where the imaging performance of the instrument is highly required and the size and weight are strictly limited.

Performance Study of Hot & Cold Mix Using Bitumen and Emulsion

This project work describes laboratory experiments and presents results for the cold-mix mixtures. Construction of highway involves huge performances of hot and cold-mix mix outlay of investment. A precise design may save considerable amount of investment, as well, a reliable performance of the in-service highway can be achieved. Two things are of major considerations in this regard - pavement design and the mix design. This project work emphasizes some of the new considerations involved in the concept of mix design. Though there are a few equipment used for estimation of stability of the bituminous mixes in the laboratory. the Marshall test is the most popular one, possibly due to its simplicity and low cost.

Women's perspectives on mHealth behavior change interventions for the management of overweight, obesity, or gestational diabetes: A qualitative meta-synthesis.

mHealth interventions play an increasingly important role in health behavior change for gestational diabetes or peripartum obesity management. This qualitative systematic review and meta-synthesis aims to explore women's perceptions of mHealth behavior change interventions for gestational diabetes and/or overweight/obesity management during pregnancy and the postpartum period. Cumulative Index of Nursing and Allied Health Literature (CINAHL), Cochrane, Excerpta Medica Database (EMBASE), Medical Literature Analysis and Retrieval System Online (MEDLINE), and Psychological Information Database (PsycINFO) databases were searched using a Sample, Phenomenon of Interest, Design, Evaluation and Research type (SPIDER) concept framework through to February 2024. Included studies were quality assessed using the Critical Appraisal Skills Programme checklist. Study findings were evaluated using reflexive thematic analysis and GRADE-Confidence in the Evidence from Reviews of Qualitative Research (CERQual) checklist. We identified 29 studies, representing 604 women's views from one upper middle-income and nine high-income countries. Two themes were generated: mHealth as a supportive tool; and mHealth as a personalizable tool. Women highlighted the importance of self-monitoring, information trustworthiness, peer support, motivational tools (goal setting, risk awareness, and problem solving) and convenience in achieving behavior change using mHealth technology. They suggest mHealth programs incorporate these elements to support user engagement and improved health outcomes. Understanding what women want as mHealth users is particularly important for effective interventions in gestational diabetes, weight management, and chronic disease prevention. Creating a better, more woman-centered experience by addressing central engagement issues should result in improved maternal health outcomes.

Fabrication and Characterization of Sustained-Release Eudragit RSPO Microsphere of Lornoxicam by Spray Drying Technique

Background: Lornoxicam is a potent non-steroidal anti-inflammatory drug (NSAID) with strong analgesic properties; however, its short half-life necessitates frequent administration for sustained efficacy. Objective: The objective of the present study was to identify critical formulation parameters affecting sustained release Eudragit RSPO microsphere of lornoxicam employing the concept of design of experiments Method: The lornoxicam-loaded microspheres were prepared using a spray drying technique by optimizing the drug:polymer ratio(X1) and inlet air temperature (X2) using a 32 full factorial design. The percentage drug entrapment (Y1), percentage yield (Y2) and cumulative percentage of the drug dissolved at 18 hr (Y3) were selected as dependent variables. Microspheres were evaluated for percentage drug entrapment, mean particle size, percentage yield, in vitro drug release study and scanning electron microscopy (SEM). Result: The optimized batch showed 84.51% drug release after 18 h with significantly higher drug entrapment and percentage yield. The optimization was further verified using overlay and desirability plots. The sustained release behavior of the drug from microspheres in GIT was displayed. The predicted and observed responses for the optimized formulation were in close agreement with the release profile of the drug. Conclusion: The sustained release microspheres of lornoxicam may prove to be an effective analgesic with excellent anti-inflammatory potential.

An analysis of the development path of ethnic villages under the protection of traditional Jiarong culture

Most of the villages in the north-west ethnic areas of Sichuan are located within a culturally rich zone. However, during the process of village modernization, the protection and inheritance of traditional culture are often overlooked. This study has investigated the construction techniques and spatial components of traditional villages in Lixian, Sichuan Province, from the perspective of cultural inheritance. It analyzes and synthesizes representative design language and proposes a design concept that combines spatial perspective and cultural inheritance to conduct research on design paths aimed at strengthening functional positioning, optimizing spatial layout, improving village style, and improving infrastructure. The objective is to establish a research path to maintain the village-style during post-disaster process reconstruction and village development, thus protecting the unique local architectural culture and achieving comprehensive village development. In addition, we explored issues such as the lack of architectural style and the lagging development of human settlements, aiming to promote rural revitalization and integrated urban-rural development in this area.