Innovative Design Research Articles

Topology optimization designed twisted conformal cooling channel for additive-manufactured hot-stamping tool

Hot stamping is a manufacturing process that can be used to produce complex-shaped parts with high mechanical properties. In this process, the part quality and the production rate are strongly influenced by the efficiency of the cooling system within the tool. Improving the efficiency of the cooling system is therefore a key factor in reducing production time and costs. Traditional cooling systems for hot stamping tools often rely on simple drilled channels, limiting their potential for optimization. But recent improvements in additive manufacturing of steel have made it possible to design and produce cooling channels of more complex shapes and therefore allow the use of innovative design approaches such as topology optimization. This paper proposes a new rational method for optimum design of cooling system for additively manufactured hot stamping tools. The proposed new methodology is based on fluid-thermal topology optimization (TO). A low-fidelity model using the Stokes-Darcy equations is used to simulate fluid flow in the cooling channels. The objective function and constraints are designed to minimize the maximum temperature of the tool surface (cooling efficiency) with limited pressure drop of the cooling system. Advanced computations techniques including parallel computation, stabilization techniques, adaptive mesh and iterative solvers are used to ensure the computation performance. The procedure developed is first tested on a simple example to check the consistency of the results obtained. Then, to demonstrate the contribution of our work to the field under study, the procedure developed is used to optimize the design of the cooling system for an industrial hot stamping punch to be additively manufactured. The obtained optimum design is compared with standard drilled channels design and the deign with shell and core technology (with insert). These comparisons clearly shows that the optimal design combined with additive manufacturing can reduce quenching time by 37 % compared to conventional drilled straight channels, with very similar pressure drop and very similar load-bearing capacity. This research offers significant potential for improving efficiency and reducing costs in hot stamping and other manufacturing processes.

Digital Restoration and Innovative Design of Ancient Books Based on CAD and Big Data Technology

Digital Restoration and Innovative Design of Ancient Books Based on CAD and Big Data Technology

Porous N, P co-doping Ti3C2Tx MXene for high-performance capacitive deionization

The emerging energy-saving and environmentally friendly capacitive deionization (CDI) technology has attracted more and more attention. However, it remains a great challenge to develop CDI electrode materials with excellent comprehensive properties. Herein, the porous N, P co-doping Ti3C2Tx MXene (N, P-Ti3C2Tx) was prepared successfully by combining simple flocculation with an annealing process. Benefitting from the synergistic effect of the combination of porous structure and co-doping of N and P heteroatoms, the N, P-Ti3C2Tx exhibits substantial specific surface area, which provides more surface bounding active sites for electrochemical reactions, thus assisting to boost the CDI performance. As a result, the N, P-Ti3C2Tx exhibited an admirable salt (Na+) adsorption capacity of 53.3 mg g−1 and exceptional recycling property. Impressively, the N, P-Ti3C2Tx also exhibited superior desalination performance of Pb2+, characterized by an exceptionally high desalination capacity of up to 168.2 mg g−1 at 1.2 V, and the corresponding desalination rate reached 0.047 mg g−1 s−1. Additionally, the deionization mechanism involved was elucidated through a series of characterizations. This work will furnish an effective avenue for the innovative design of MXene-based electrode materials toward high-performance CDI.

Prediction of building cooling load: an innovative design for GA-SVM and IG-SVM system for the estimation of hourly precision and computational fluctuation range

ABSTRACT Anticipating the loads that buildings will bear is a crucial strategy in the pursuit of energy efficiency and the reduction of emissions. In this paper, we introduce an interactive and comprehensive joint prediction model, specifically crafted to elevate the precision of forecasts related to building loads. The resultant Genetic Algorithm-Support Vector Machine (GA-SVM) prediction model is put into action to provide hourly predictions of cooling loads for buildings. In scenarios where the prediction of building cooling load (BCL) fluctuations becomes imperative, especially in the face of extreme weather conditions, the information granulation (IG) method is employed. The findings of this validation process unveil significant improvements. The coefficient of variation of root mean square error (CV-RMSE) and mean absolute percentage error (MAPE) for the GA-SVM model are reduced by 58.85% and 68.04%, respectively, when compared to the conventional SVM model. Furthermore, in a comparative analysis against three widely utilized prediction models, the SVM model demonstrates a reduction in CV-RMSE and MAPE ranging from 2.04% to 68.04%. The application of the joint prediction model showcases impressive results, with R 2 values ranging from 97.27% to 99.68%, MAPE ranging from 2.59% to 2.84%, and CV-RMSE ranging from only 0.0249 to 0.0319.

Resonant cavity structural design of carbon-based intrinsic metamaterial absorbers for broadening the effective absorption bandwidth

The effective absorption bandwidth (EAB) of absorptive materials has always been a bottleneck limiting their applications. Particularly, the combination of macroscopic structural design and the loss functions at the microscopic level of materials provides an efficient solution to this issue. Herein, a novel approach was proposed, integrating macroscopic structural design with microscopic loss functions to broaden the effective absorption bandwidth (EAB) through designing an intrinsic metamaterial absorber composed of a uniform blend of carbon-based absorbing materials and polydimethylsiloxane. A key innovation lies in the dual cubic resonant cavity design, where the multiple dimensions of the resonant cavities enable the absorber to achieve effective impedance matching across a wide frequency range. Additionally, the generation of a bottom ring current induces a magnetic field, which enhances the metamaterial absorber’s capability for further attenuation of electromagnetic wave energy. These innovative designs enable traditional carbon-based absorbing materials to achieve exceptional absorption performance, with the EAB being 2.37 times that of the skin structure, addressing the narrow EAB issue of traditional carbon-based absorptive materials. Experimental results demonstrate that the prepared samples achieve an absorption rate of 90 % for electromagnetic waves in the frequency range of 5.74 to 18 GHz under normal incidence, consistent with the simulation results. This absorber boasts advantages of broadband, with an equivalent thickness of only 2.94 mm. Its structure is easy to manufacture, demonstrating certain potential applications, and providing valuable insights for the work of other researchers.

The Ethical Case for Decentralized Clinical Trials.

The recent pandemic spurred interest in innovative design for clinical trials. In particular, constraints on the public's ability to gather led to an increase in remote or decentralized clinical trials (DCTs). DCTs present an opportunity to extend the benefits of research to underserved populations, decrease burdens, increase access to trials, and fill knowledge gaps surrounding rare conditions, though they are not without their own unique challenges and risks. These risks are far from irremediable, and the advantages are significant enough to merit attention. There is a scientific and moral case to increase the use of DCTs beyond the context of public health emergencies.

First principle insight of CaBS[formula omitted] (B= Sn, Zr and Hf) chalcogenide perovskite as eco-friendly material for photovoltaics

Lead-free perovskite-type materials, renowned for their easy processing and tunable bandgaps, have emerged as a cost-effective alternative for fabricating high-efficiency tandem solar cells. Utilizing density functional theory (DFT) combined with the full-potential linearized augmented plane wave (FP-LAPW) method and the modified Becke-Johnson exchange potential (TB-mBJ), this study investigates the potential of CaBS3 (B = Zr, Hf, and Sn) compounds as promising absorbers for next-generation tandem applications. Our results demonstrate that CaBS3 compounds exhibit semiconducting properties with direct bandgaps. This study investigates the unique properties of CaBS3 perovskites, revealing their potential to enhance the efficiency of next-generation photovoltaic devices. Our findings demonstrate that CaZrS3 exhibits a remarkable Seebeck coefficient of up to 3200 μV/K, indicating superior p-type conduction and enhanced thermoelectric efficiency. Furthermore, the direct bandgaps and ambipolar conductive behavior of these materials position them as strong candidates for photovoltaic applications. Notably, a four-terminal tandem solar cell configuration comprising CaZrS3 and CaSnS3 achieves a peak conversion efficiency of 55.5% at an absorber thickness of 500 nm, surpassing the traditional Shockley-Queisser limit. These results underscore the promising capabilities of CaBS3 perovskites in advancing renewable energy technologies, paving the way for innovative designs in solar energy solutions.This investigation lends empirical credence to the optimization of tandem cell designs, thus catalyzing advancements in next-generation photovoltaic technologies.

Electro–Centrifugal Spinning of Core–Sheath Composite Yarns with Micro/Nano Structures for Self–Powered Sensing

In recent years, triboelectric nanogenerators (TENGs) have garnered extensive attention in the realm of self-powered sensors due to their capability to harness low-frequency mechanical energy. Among these, textile-based triboelectric nanogenerator stands out as a pivotal platform for wearable sensing. Nevertheless, conventional approaches, such as directly coating triboelectric materials on fabrics, often compromise the inherent properties. In this study, we utilized our self-developed electro-centrifugal spinning equipment to continuously fabricate core-sheath yarns with micro/nano structures, resulting in the development of pocket-shaped fabric-based (PF) TENGs. This innovative design preserves the original softness and breathability of the fabric while delivering substantial electrical output owing to its layered structure and extensive specific surface area. PF–TENGs can accurately detect electrical output signals from various motion states. This electro–centrifugal spinning technology offers new research directions and sensing application prospects for self-powered smart textile development.

Origami as a philosophical thought and innovative design technique to enhance the formal aesthetics of architectural facades

Origami as a philosophical thought and innovative design technique to enhance the formal aesthetics of architectural facades

A composite structure device: vibration control and energy harvesting of tool system in aviation thin-walled parts milling process

Abstract The intense vibration generated by the high-speed milling cutter in the processing process not only seriously affects the surface roughness but also may damage important components of the machine tool, resulting in significant economic losses. Therefore, a composite structure of piezoelectric energy-collector (PEC) and nonlinear energy sink (NES) is innovatively constructed by combining theoretical research and numerical analysis to achieve more efficient vibration suppression and energy recovery in milling. Using the Hamilton principle, the electromechanical model of the composite structure is developed. Then, based on the Galerkin truncation to discretized displacement functions, we solve the amplitude-frequency response of the tool structure by using the harmonic balance method. The validity analysis of the proposed method can be verified by rigorous comparison with the results of the Runge-Kutta method. A novel NES-PEC composite structure presented in this work shows excellent vibration suppression capability in the milling process. More importantly, the structure also enables self-powered sensing of the tool system, significantly reducing dependence on external power sources. This innovative design substantially improves the stability and reliability of milling processes and opens up new ways to optimize the energy efficiency of tool systems. In summary, this paper’s modeling and solving methods, vibration reduction techniques, and energy harvesting strategies have laid a solid foundation for applying a high-speed milling cutter system. More relevant literature on applying vibration suppression and energy harvesting devices in milling must be reviewed. This paper fills in the research gap and provides a valuable reference for future tool systems design and optimization.

Dual-Functional SnO2-CNT-PANI||PP||SnO2 Separator for Enhanced Lithium-Sulfur Battery Stability and Capacity

Lithium-sulfur batteries (LSBs) provide high capacity and energy density for advanced energy storage but encounter performance and safety issues due to lithium polysulfides (LiPSs) dissolution and dendrite formation. This study introduces a dual-functional SnO2-CNT-PANI||PP||SnO2 separator (DF-SNCPS) aimed at improving the stability and safety of LSBs. The separator includes a SnO2-CNT-PANI layer on the sulfur cathode side for enhanced electrical conductivity and polysulfide adsorption and a SnO2 nanoparticle (nano-SnO2) layer on the lithium anode side to regulate lithium-ion concentration and inhibit dendrite growth. Density functional theory (DFT) and the phase field method have verified the relevant material's catalytic performance and dendrite suppression ability. These methods have provided a comprehensive understanding of the underlying mechanisms, providing auxiliary explanations for their role in catalyzing polysulfide conversion and suppressing lithium dendrite growth. This innovative design mitigates the shuttle effect and enhances cyclic stability and sulfur utilization, achieving a notable cyclic performance with a capacity retention of 0.05% per cycle over 800 cycles at 1C. The synergistic effects of the modified separator present a viable pathway for LSB commercialization.

Research on design method of lattice turbine disk based on topology optimization

Abstract As a typical structure of an aero-engine, turbine disk has been used in high-temperature and high-speed environments for a long time, and its mass accounts for a large proportion. Therefore, its lightweight design is urgent. With the development of an aero-engine towards a high thrust-to-weight ratio, the turbine speed continues to increase, and the single-stage load continues to increase, which makes the design of the turbine disk face more problems and challenges. The uniform material turbine disk structure has made it difficult to meet its comprehensive performance requirements. To address this issue, this paper proposes a lattice turbine disk design idea, changing the uniform organization pursued by traditional design and achieving optimal performance through the integration of design innovation and manufacturing process innovation. This paper takes the turbine disk as the research object to establish a lattice turbine disk design method. By using the topology optimization method based on progressive optimization, the cell configuration can be obtained. After that, combined with the structural characteristics of the turbine disk, the design of the dot matrix auxiliary plate disk is realized. Finally, taking a turbine disk as an example, this paper carried out the optimization design of the turbine disk and obtained the lattice disk with better performance, which verified the feasibility of the method.

Innovative Design and Fast Iterative Manufacturing of Micro-Turbojet Engines at Low Cost

The turbojet is the foundation of the gas turbine engine, which combines knowledge of fluid dynamics, thermodynamics, heat transfer, mechanical design, manufacturing, and jet propulsion. This paper describes in detail the inspiration source, design process, fluid dynamics analysis, manufacturing steps, ignition test method and test process of small jet engines. 3D modeling software SolidWorks was used for the preliminary modeling and fluid simulation was performed to optimize the design. Part of the model was produced by 3D resin printing technology, and the turbine engine model was driven by compressed air for no-load testing to verify the feasibility and structural stability of the resin model. Subsequently, some parts were printed with metal materials, combined with traditional machining techniques to complete production and assembly, and finally successfully carried out static ignition tests. The micro turbojet engine designed in this paper has successfully achieved static ignition test and demonstrated the feasibility of efficient development with limited resources and low manufacturing cost. This exploration proves the feasibility of rapid iteration technology route. The market prospect and manufacturing cost of micro turbojet are also analyzed.

Review Paper on Development of Mini Refrigerator

Abstract: This project focuses on the innovative development of a regenerative magnetic suspension system that uses permanent magnets to capture energy from the vibrations and movements of vehicles, aiming to improve energy efficiency and sustainability within the automotive sector. Unlike conventional suspension systems that dissipate energy as heat, this design utilizes highperformance neodymium magnets and wound copper coils to convert mechanical energy into electrical energy via electromagnetic induction as the vehicle moves across varying terrains. The energy recovered through this process can potentially power auxiliary vehicle systems such as sensors, lights, and infotainment units, thereby contributing to overall vehicle efficiency. Preliminary simulations and calculations indicate a substantial potential for energy recovery, positioning the system as a cost-effective and practical solution that can be integrated into existing vehicle architectures with minimal modifications. By leveraging readily available materials, this project addresses the challenges of energy waste in conventional suspensions while promoting sustainable practices. The research not only advances regenerative technologies within the automotive industry but also paves the way for future innovations in vehicle design and broader engineering applications

Exploring Factors that Affect the Performance of Financial Intermediaries in the Insurance Sector

This article evaluates the prominent factors affecting financial intermediaries’ performance in the insurance industry. It is widely accepted that the performance of financial intermediaries in the insurance industry contributes to both industrial expansion and an increase in the market value of financial service providers. Surprisingly, there is not much research on financial intermediaries’ ability to identify obstacles that hinder their effectiveness. This study thus sought to provide strategies for financial services providers, insurance conglomerates, and senior management to gain a broad understanding and thorough review of the important influential factors that should be considered to enhance the performance of financial intermediaries in the insurance sector. To investigate the factors that enhance the performance of financial intermediaries, a close-ended questionnaire was developed in which 300 responses were collected at a market conduct authority. A quantitative approach was judiciously selected to analyse the data and identify the relationship between several factors. Using logistic regression models, key socioeconomic characteristics impacting the performance of financial intermediaries were identified including organisation, gender, education, level of education, and experience. By examining the interplay of regulatory frameworks, market conditions, and managerial practices, the study identified key drivers and barriers to success in this industry. It is recommended that future researchers adopt the strategies to further explore the complexities surrounding hedge funds and collective investment schemes. The findings of the study may aid in the development of future innovative product designs for financial intermediaries in the insurance sector. Keywords: Financial Intermediaries, Financial Intermediation, Financial Sector, Financial Services Providers

Research on Integrated Optimization of Design Parameters and Process Simulation for Throughput Efficiency

This thesis presents a comprehensive approach to enhance the production throughput of aluminium bumper beams, a critical component in automotive manufacturing. Using CATIA, an innovative bumper beam design was developed, focusing on simplicity of design and manufacturability. The design parameters considered included material selection, cross-sectional area optimization, and welding techniques to ensure both performance and ease of manufacturing. Transitioning to Tecnomatix Plant Simulation, a virtual environment was constructed to simulate the bumper beam production process. The simulation incorporated the identified design parameters, process routes, layout considerations, and machine arrangements to optimize throughput without inflating costs. By leveraging advanced simulation techniques, the study aimed to identify the most efficient production strategies while maintaining design integrity and minimizing resource consumption. Through systematic scenarios experimentation and analysis, the research yielded insights into the complex relationship between design decisions and manufacturing processes. The results highlight the potential for significant throughput enhancements achievable through collaborative optimization of design and production parameters. The optimization was able to achieve an increase in throughput of about 12.64% of its initial throughput. Moreover, the study underscores the importance of holistic approaches integrating design engineering with manufacturing simulation to drive continuous improvement in industrial operations. This thesis contributes to advancing automotive manufacturing practices by offering a methodology for enhancing production efficiency while preserving product quality and cost-effectiveness. The findings provide valuable guidance for engineers and practitioners seeking to optimize manufacturing processes through the use of simulation and design parameters

Neuroplasticity Meets Artificial Intelligence: A Hippocampus-Inspired Approach to the Stability–Plasticity Dilemma

The stability–plasticity dilemma remains a critical challenge in developing artificial intelligence (AI) systems capable of continuous learning. This perspective paper presents a novel approach by drawing inspiration from the mammalian hippocampus–cortex system. We elucidate how this biological system’s ability to balance rapid learning with long-term memory retention can inspire novel AI architectures. Our analysis focuses on key mechanisms, including complementary learning systems and memory consolidation, with emphasis on recent discoveries about sharp-wave ripples and barrages of action potentials. We propose innovative AI designs incorporating dual learning rates, offline consolidation, and dynamic plasticity modulation. This interdisciplinary approach offers a framework for more adaptive AI systems while providing insights into biological learning. We present testable predictions and discuss potential implementations and implications of these biologically inspired principles. By bridging neuroscience and AI, our perspective aims to catalyze advancements in both fields, potentially revolutionizing AI capabilities while deepening our understanding of neural processes.

Synthesis and Optimization of Foam Copper-Based CoMnOx@Co3O4/CF Catalyst: Achieving Efficient Catalytic Oxidation of Paraxylene.

This study successfully developed a foam copper (CF)-based CoMnOx@Co3O4/CF composite catalyst, achieving efficient thermal catalytic oxidation of paraxylene through multifactor optimization of synthesis conditions. At a Co:Mn molar ratio of 2:1 and a calcination temperature of 450 °C, the catalyst exhibited outstanding catalytic performance, with a T90 temperature as low as 246 °C, significantly lower than that of catalysts synthesized under other conditions. Additionally, BET, XPS, Raman, EPR, and H2-TPR test results indicate that the catalyst possesses a high specific surface area, abundant oxygen vacancies, a distribution of multivalent Co and Mn species, and a lower hydrogen reduction temperature, all of which contribute to the high catalytic activity of CoMnOx@Co3O4/CF. Furthermore, in situ DRIFTS confirmed that the oxidation of paraxylene on CoMnOx@Co3O4/CF follows the Mars-Van Krevelen (MvK) mechanism. The proposed reaction pathway begins with the oxidation of the methyl group on paraxylene, followed by the opening of the benzene ring and further oxidation to CO2 and H2O. The innovative structural design and excellent catalytic performance of this catalyst provide new insights and solutions for the industrial treatment of VOCs.

Mascot Design of Zara and Vano as a Marketing Strategy for Zabava Labs

The development of online games is in line with advances in computer and network technology, including Web3 which includes the use of Blockchain, smart contracts and decentralization. One company operating in this field is Zabava Labs, located in Singapore, with their flagship product, Sentinel Haven. Although Zabava Labs is active on social media, especially Instagram, the visual image of their feed does not represent the company effectively, which results in low audience engagement and interest. This research aims to design a character mascot that is attractive to young gamers in Indonesia to improve the image and interaction of Zabava Labs on social media. The designed mascot is expected to be able to build the company brand by providing a lasting impression, facilitating effective communication with the audience, and increasing brand recognition in the market. Through a creative and innovative design approach, this mascot will become a visual element that is not only attractive, but also reflects a strong and memorable brand.

Innovative Anode Design to Enhance Both Volumetric and Gravimetric Energy Densities of LiCoO2||Graphite Pouch Cells

AbstractThe ratio of the anode (negative electrode) and cathode (positive electrode) areal capacities (N/P ratio), is an important parameter for Lithium‐ion batteries. Considering the manufacturing tolerance and battery safety, almost all of the batteries keep the N/P ratio > 1. Deviating from this ratio can lead to lithium precipitation on the anode surface, which poses significant risks. Here, by using a gradient structured graphite (Gr) anode, a new design concept is proposed that the N/P ratio could be less than 1, which can effectively achieve higher energy density without sacrificing the battery safety. This is achieved by incorporating a small quantity of silver (Ag) nanoparticles into the bottom layer of the anode (Gr‐Agx), which effectively modulates the concentration polarization of lithium ions along the thickness of the electrode. Moreover, the volumetric energy density of 4 Ah LiCoO2||Gr‐Ag0.5 (N/P = 0.8) pouch cell increases by 14.5% compared with LiCoO2||Gr (N/P = 1.1). Furthermore, the universal applicability and efficacy of the N/P < 1 design paradigm in LiFePO4||Gr cells are validated.