articles+ search results

E-textiles, modular rapid prototyping toolkit, E-textile Bonder, Textile Prototyping Lab, adhesive bonding technology, and General Works

We present a novel E-textiles toolkit that can be used in the rapid prototyping of electronic textiles during the research and evaluation phase. The modular, Arduino-compatible toolkit incorporates various sensors and control and communication modules. The needs of fashion professionals have been considered during the conception of the toolkit, which was developed in close cooperation with partners from textile research institutes, the textile industry, art schools and design. After the initial manual prototyping, the toolkit modules can be directly transferred to reliable industrial integration using advanced machinery. To achieve this, we developed the E-textile Bonder, a machine capable of mechanically and electrically connecting modules to textiles with integrated conductors. This paper gives an overview of the toolkit as well as the design considerations discussed and implemented during the cooperation with textile industry stakeholders. Furthermore, the integration process with the E-Textile Bonder is described, and its advantages over other technologies are discussed.

laser forming, rapid prototyping, self-folding origami, metal bending, Technology, Electrical engineering. Electronics. Nuclear engineering, and TK1-9971

Lasers can be used to bend 2D metal sheets into complex 3D objects in a process called ‘laser forming.’ Laser forming bends metal sheets by locally heating the sheets to generate plastic strains and is an established metal bending technology in the shipbuilding industry. Recent studies have investigated the laser forming of thin metal parts as a complementary rapid prototyping technology to metal 3D printing. This review discusses the laser forming process, beginning with the mechanisms before covering various design considerations. Laser forming for the rapid manufacturing of metal parts is then reviewed, including the recent advances in process planning, before highlighting promising future research directions.

k-nearest neighbor, classification, kNN prototyping, Human Activity Recognition (HAR), performance, Electronic computers. Computer science, and QA75.5-76.95

The kNN machine learning method is widely used as a classifier in Human Activity Recognition (HAR) systems. Although the kNN algorithm works similarly both online and in offline mode, the use of all training instances is much more critical online than offline due to time and memory restrictions in the online mode. Some methods propose decreasing the high computational costs of kNN by focusing, e.g., on approximate kNN solutions such as the ones relying on Locality-Sensitive Hashing (LSH). However, embedded kNN implementations also need to address the target device’s memory constraints, especially as the use of online classification needs to cope with those constraints to be practical. This paper discusses online approaches to reduce the number of training instances stored in the kNN search space. To address practical implementations of HAR systems using kNN, this paper presents simple, energy/computationally efficient, and real-time feasible schemes to maintain at runtime a maximum number of training instances stored by kNN. The proposed schemes include policies for substituting the training instances, maintaining the search space to a maximum size. Experiments in the context of HAR datasets show the efficiency of our best schemes.

digital transformation, e-government, service prototyping, Information technology, and T58.5-58.64

Digital Transformation is under constant evolution. Organizations that were not already created in the digital environment need to digitalize their services. The process used to do so may involve not only elements of technology, but also social, political and organizational aspects. While there is no holistic method to implement digital transformation, organizations learn from successful cases in order to build their own way to implement digital transformation. This paper presents the process through which a physically delivered service provided by the Brazilian federal government was transformed into a digital service. This was performed with a prototyping approach made of six steps: diagnose the service, analyze the service, identify the requirements, and elaborate, verify, and validate the prototype. To perform the digitalization, an automation tool was used, and there was constant interaction with the service provider. This article offers a detailed process to implement digitalization by means of prototyping, which can be used by other organizations to make services digital.

CO2 laser, rapid prototyping, microneedle, multicellular tumor spheroids, microwells, hanging drops, Biology (General), and QH301-705.5

CO2 laser manufacturing has served as an enabling and reliable tool for rapid and cost-effective microfabrication over the past few decades. While a wide range of industrial and biological applications have been studied, the choice of materials fabricated across various laser parameters and systems is often confounded by their complex combinations. We herein presented a unified procedure performed using percussion CO2 laser drilling with a range of laser parameters, substrate materials and various generated microstructures, enabling a variety of downstream tissue/cellular-based applications. Emphasis is placed on delineating the laser drilling effect on different biocompatible materials and proof-of-concept utilities. First, a polydimethylsiloxane (PDMS) microneedle (MN) array mold is fabricated to generate dissolvable polyvinylpyrrolidone/polyvinyl alcohol (PVP/PVA) MNs for transdermal drug delivery. Second, polystyrene (PS) microwells are optimized in a compact array for the formation of size-controlled multicellular tumor spheroids (MCTSs). Third, coverglass is perforated to form a microaperture that can be used to trap/position cells/spheroids. Fourth, the creation of through-holes in PS is validated as an accessible method to create channels that facilitate medium exchange in hanging drop arrays and as a conducive tool for the growth and drug screenings of MCTSs.

sport equipment, prototyping, 3D printing, digital image correlation, mechanical properties, winter sports, and General Works

The optimization of sport equipment parts requires considerable time and high costs due to the high complexity of the development process. For this reason, we have developed a novel approach to decrease the cost and time for the optimization of the design, which consists of producing a first prototype by 3D printing, applying the forces that normally acts during the sport activity using a test bench, and then measuring the local deformations using 3D digital image correlation (DIC). The design parameters are then modified by topological optimization and then DIC is performed again on the new 3D-printed modified part. The DIC analysis of 3D-printed parts has shown a good agreement with that of the injection-molded ones. The deformation measured with DIC are also well correlated with those provided by finite element method (FEM) analysis, and therefore DIC analysis proves to be a powerful tool to validate FEM models.

outdoor mobile augmented reality, iterative prototyping, user experience, user interface, game mechanics, collaborative urban designing, Technology, and Science

This research presents results from a study developing a smartphone app, UrbanCoBuilder, in which citizens can collaboratively create designs for urban environments usingaugmented reality technology and game mechanics. Eight prototypes were developed to refineselected design criteria, including tracking strategies, design elements, user experience and theinterface with game mechanics. The prototypes were developed through an iterative design processwith assessments and incremental improvements. The tracking was especially challenging andusing multiple bitonal markers combined with the smartphone’s gyroscope sensor to average theuser position was identified as the most suitable strategy. Still, portability and stability linked totracking need to be improved. Design elements, here building blocks with urban functions textures,were realistic enough to be recognizable and easy to understand for the users. Future studies willfocus on usability tests with larger user groups.

silicon photonics, silicon-on-insulator, waveguides, modulators, mid-infrared, silicon nitride, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, and QD1-999

The field of silicon photonics has experienced widespread adoption in the datacoms industry over the past decade, with a plethora of other applications emerging more recently such as light detection and ranging (LIDAR), sensing, quantum photonics, programmable photonics and artificial intelligence. As a result of this, many commercial complementary metal oxide semiconductor (CMOS) foundries have developed open access silicon photonics process lines, enabling the mass production of silicon photonics systems. On the other side of the spectrum, several research labs, typically within universities, have opened up their facilities for small scale prototyping, commonly exploiting e-beam lithography for wafer patterning. Within this ecosystem, there remains a challenge for early stage researchers to progress their novel and innovate designs from the research lab to the commercial foundries because of the lack of compatibility of the processing technologies (e-beam lithography is not an industry tool). The CORNERSTONE rapid-prototyping capability bridges this gap between research and industry by providing a rapid prototyping fabrication line based on deep-UV lithography to enable seamless scaling up of production volumes, whilst also retaining the ability for device level innovation, crucial for researchers, by offering flexibility in its process flows. This review article presents a summary of the current CORNERSTONE capabilities and an outlook for the future.

LED Counter Beam Light (CBL), freeform-surfaced secondary lens design, tunnel lighting, CIE 88:2004 regulation, and Technology

An LED Counter Beam Light (CBL) with a free surface secondary lens is proposed to enhance the safety and efficiency of tunnels. The secondary lens was designed and produced to be mounted on a 50 W white-light LED array to generate the targeted counter beam pattern, in order to meet the standards for enhanced tunnel road lighting of the CIE (Commission Internationale de l’Eclairage)—CIE 88:2004—in a trial tunnel lighting scheme. Through the simulation of a road tunnel in Northern Taiwan using the LiteStar four-dimensional software, it was shown that the proposed LED light can serve as a qualifying CBL to generate an average road tunnel surface luminance (Lav) of 182.76 cd/m2, which is better than the 138 cd/m2 that commercial High-Pressure Sodium (HPS) tunnel lights can provide and the 181 cd/m2 minimum stipulated in the CIE 88:2004 regulations. The results also show that the proposed LED light accomplishes a contrast revealing coefficient qc of 1.03, which is above the minimum regulatory level of 0.6 for a qualified CBL, as well as a luminance uniformity Uo of 0.89 (regulatory minimum, 0.4), longitudinal luminance uniformity UL of 0.99 (regulatory minimum, 0.6), and glare factor TI (threshold increment) of 7.24% (regulatory minimum, 15%). In order to test the feasibility of the LED CBL for future commercialization, the proposed LED CBL was prototyped and measured; the results demonstrate that an average road surface luminance (Lav) of 184.5 cd/m2, intensity of the luminance uniformity Uo of 0.7, intensity of the longitudinal luminance uniformity UL of 0.94, glare factor of 7.04%, and contrast revealing coefficient qc of 1.38 can be achieved, which are all above the levels required by the CIE 88:2004 regulations.

biomechanical design, ankle-foot prosthesis, experimental validation, Technology, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Engineering (General). Civil engineering (General), TA1-2040, Microscopy, QH201-278.5, Descriptive and experimental mechanics, and QC120-168.85

Powered ankle-foot prostheses for walking often have limitations in the range of motion and in push-off power, if compared to a lower limb of a healthy person. A new design of a powered ankle-foot prosthesis is proposed to obtain a wide range of motion and an adequate power for a push-off step. The design methodology for this prosthesis has three points. In the first one, a dimensionless kinematic model of the lower limb in the sagittal plane is built, through an experimental campaign with healthy subjects, to calculate the angles of lower limb during the gait. In the second point a multibody inverse dynamic model of the lower limb is constructed to calculate the foot-ground contact force, its point of application and the ankle torque too, entering as input data the calculated angles of the lower limb in the previous point. The third point requires, as input of the inverse dynamic model, the first dimensioning data of the ankle-foot prosthesis to obtain the load acting on the components of the prosthesis and the angle torque of the actuator during the gait cycle. Finally, an iteration cycle begins with the inverse dynamic model modifying the ankle torque and angle until these quantities during the gait are as close as possible to the physiological quantities. After the mechanical design and the construction of the prototype of the prosthesis, an experimental methodology was used for preliminary validation of the design. The preliminary tests in the laboratory on the prototype alone show that the range of motion of the ankle angle during the gait is close to a healthy person’s: 27.6° vs. 29°. The pushing force of the distal area of the prototype is 1.000 N, instead of 1.600 N, because a budget reduction forced us to choose components for the prototype with lower performance.

laser powder bed fusion, additive manufacturing, process parameters, pressing sintering, functional prototypes, carbon alloy, Production capacity. Manufacturing capacity, and T58.7-58.8

Laser powder bed fusion (LPBF) additive manufacturing technology was used to produce functional prototypes of powder metallurgy (PM) components from high carbon content, iron-based water-atomized powders. The melt pool modeling and design of experiment approaches were combined in order to determine the LPBF operation window allowing to print parts with components similar to the PM in terms of density, microstructure and mechanical properties. The size, morphology and distribution of processing-induced pores were evaluated using computed tomography, while a microstructure analysis was carried out using X-ray diffraction and scanning electron microscopy, and the mechanical properties were evaluated using tensile and unnotched Charpy testing. It was demonstrated that LPBF technology could effectively be used for the just-in-time manufacture of high-fidelity functional prototypes of PM parts from iron-based powders.

magnetoelectric sensor, magnetoelectric antenna, software-defined radio (SDR), electromagnetic modulation, energy harvesting, Electronics, and TK7800-8360

This article describes the development of a radio frequency (RF) platform for electromagnetically modulated signals that makes use of a software-defined radio (SDR) to receive information from a novel magnetoelectric (ME) antenna capable of sensing low-frequency magnetic fields with ultra-low magnitudes. The platform is employed as part of research and development to utilize miniaturized ME antennas and integrated circuits for neural recording with wireless implantable devices. To prototype the reception of electromagnetically modulated signals from a sensor, a versatile Universal Software Radio Peripheral (USRP) and the GNU Radio toolkit are utilized to enable real-time signal processing under varying operating conditions. Furthermore, it is demonstrated how a radio frequency signal transmitted from the SDR can be captured by the ME antenna for wireless energy harvesting.

rapid tooling, rapid prototyping, 3d printing, 3d printed molds, fiber-reinforced polymers (frps), biomedical devices, articular splints, computer-aided design (cad), Technology, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Engineering (General). Civil engineering (General), TA1-2040, Microscopy, QH201-278.5, Descriptive and experimental mechanics, and QC120-168.85

Advances in additive manufacturing technologies and composite materials are starting to be combined into synergic procedures that may impact the biomedical field by helping to achieve personalized and high-performance solutions for low-resource settings. In this article, we illustrate the benefits of 3D-printed rapid molds, upon which composite fibers can be laminated in a direct and resource-efficient way, for the personalized development of articular splints. The rapid mold concept presented in this work allows for a flexible lamination and curing process, even compatible with autoclaves. We demonstrate the procedure by completely developing an autoclave-cured carbon fiber−epoxy composite ankle immobilizing, supporting, or protecting splint. These medical devices may support patients in their recovery of articular injuries and for promoting a more personalized medical care employing high-performance materials, whose mechanical response is analyzed and compared to that of commercial devices. In fact, this personalization is fundamental for enhanced ergonomics, comfort during rehabilitation, and overall aesthetics. The proposed design and manufacturing strategies may support the low-cost and user-centered development of a wide set of biomedical devices and help to delocalize the supply chain for involving local populations in the development of medical technology.

autonomous vehicles, self-driving cars, artificial intelligence, deep learning, cloud computing, edge computing, Chemical technology, and TP1-1185

Self-driving cars and autonomous vehicles are revolutionizing the automotive sector, shaping the future of mobility altogether. Although the integration of novel technologies such as Artificial Intelligence (AI) and Cloud/Edge computing provides golden opportunities to improve autonomous driving applications, there is the need to modernize accordingly the whole prototyping and deployment cycle of AI components. This paper proposes a novel framework for developing so-called AI Inference Engines for autonomous driving applications based on deep learning modules, where training tasks are deployed elastically over both Cloud and Edge resources, with the purpose of reducing the required network bandwidth, as well as mitigating privacy issues. Based on our proposed data driven V-Model, we introduce a simple yet elegant solution for the AI components development cycle, where prototyping takes place in the cloud according to the Software-in-the-Loop (SiL) paradigm, while deployment and evaluation on the target ECUs (Electronic Control Units) is performed as Hardware-in-the-Loop (HiL) testing. The effectiveness of the proposed framework is demonstrated using two real-world use-cases of AI inference engines for autonomous vehicles, that is environment perception and most probable path prediction.

Shape-changing interface, shape display, prototyping, tangible user interface, design tool, Technology, and Science

A shape-changing user interface is a type of interface that interacts with users by changing its physical form. Although researchers have been extensively studying shape-changing user interfaces, relevant research on its various design aspects—including tools and methods—remains limited. Prototyping shape-changing interfaces often requires sophisticated equipment and knowledge, which makes this sphere of design unwelcoming for designers with limited resources and technical knowledge (e.g., design students). In this study, we propose ClothSurface—a simple and low-cost prototyping tool to design for shape displays—and explore its use through a series of design sessions. The results reveal that ClothSurface can allow inexperienced designers to illustrate their ideas and to explore the design space of shape displays.

prototyping, digital model, physical model, smart building envelope, design process, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, and GE1-350

In this study, a design methodology based on prototyping is proposed. This design methodology is intended to enhance the functionality of the test, differentiating it from the prototyping that is being conducted in conventional architectural design projects. The objective of this study is to explore reference cases that enable designers to maximize the utilization of both digital models and physical models that have been currently used in architectural designs. Also, it is to explore the complementary roles and effects of digital models and physical models. Smart Building Envelopes (SBEs) are one of challenging topics in architectural design and requires innovative design process included tests and risk management. A conceptual prototyping-based model considering the topic is applied to the design studio (education environment in university). Designing SBEs is not difficult to conceive ideas, but it is impossible to “implement” using the conventional design method. Implementing SBEs requires to strengthen validities and improve responsibilities of ideas in the stages of architectural designs, with cutting-edge technologies and smart materials. The design methodology enables designers (represented by students) to apply materials and manufacturing methods using digital models (parametric design, simulation, BIM) and physical models, rather than representing vanity images that are considered simple science fiction.

censorship, digital humanities, information access, banned books, History of scholarship and learning. The humanities, and AZ20-999

“Banned Books Behind Bars” is a social justice project that aims to shed light on the complex problem of information access in prison and to explore potential prototypes for possible solutions to some of these obstacles, in particular access to books and printed information. The United States is home to five percent of the world’s population but a staggering twenty-five percent of the world’s total prisoners. For many incarcerated individuals, access to information is a struggle: censorship, book banning, and lack of adequate library facilities or collections are common. Over the course of conducting preliminary research, this project evolved through the research process of ideation. Through the participatory action research method, qualitative interviews with volunteers from banned books organizations helped to identify potential digital tools meant to aid in the fight against the First Amendment violations that incarcerated individuals face daily. Furthermore, the interviews clarified that the first step toward creating an impactful digital project involves converting various forms of unstructured data, including newspaper articles, prison censorship forms, and state published banned book lists, into structured data. Through this discovery, “Banned Books Behind Bars” became an endeavor to standardize practices of data aggregation amongst banned books organizations throughout the country. Gathering concrete data about the practice of banning books within prisons requires an elevated level of transparency. Incarcerated individuals, their families, and prison reform activists need a platform for reporting data on censorship practices, and, ultimately, for bringing awareness to the arbitrary application of censorship guidelines within the complex world of incarceration. The final prototype is a digital repository, created with Airtable software, which offers authoritative dataset consolidation for activists and organizations working to deliver books to prisoners.

biomass, closed pen, fish detection, fish counter, FPGA, hydroacoustic, Chemical technology, and TP1-1185

This paper presents a new compact single beam advanced echosounder system designed to estimate fish count in real time. The proposed device is a standalone system, which consists of a transducer, a processing unit, a keypad, and a display unit to show output. A fish counting algorithm was developed and implemented in the device. The device is capable of performing all the functions required for fish abundance estimation including target strength calculation, simultaneous echo integration, and echogram generation. During operation, the device analyzes ping data continuously and calculates various parameters in real time while simultaneously displaying the echogram and results on the screen. The device has been evaluated by technical verification in a lab and on-site experiments. The experimental results demonstrate that the proposed device is on par with a commercial echosounder and is capable of accurately estimating the fish abundance. The proposed device is beneficial for fish management.

Vehicle design, components selection, vehicle assembling, costs analysis, sustainability, and Technology

Hybrid vehicles currently represent a compromise between the maturity of conventional vehicles and the low consumption and attention to environmental issues of electric vehicles. This article analyzes the feasibility of a hybrid series vehicle where the heat engine is replaced by a micro gas turbine. In the continuous generation of electric current, it has numerous advantages compared to an internal combustion engine and the purpose of the article is to verify whether these advantages also apply to traction in a hybrid vehicle. The model will be a city car as problems in urban environments of pollution and optimization of consumption are more revealing. After defining performance requirements, the main components are sized and then selected from the catalog, paying attention in the search for a compromise between performance, space constraints, and costs. The Advisor software will then be used to simulate the configuration in both urban and suburban cycles, paying attention to performance, the state of charge of the battery, the operating points of the microturbine, the input and output energy for each element, and fuel consumption. Then, we analyze the level of pollutant emissions to verify that they are lower than the values set by European legislation, specifically the EURO 6 standard. Finally, the total life cycle costs of the car are analyzed as the sum of the purchase cost, operating costs, and maintenance costs to verify the competitiveness of the configuration in the current market. The car was then compared with the Toyota Yaris Hybrid in terms of performance, fuel consumption, emissions, and costs to highlight advantages and disadvantages.

risk assessment, decision support, fire behavior, modeling, analytics, Plant ecology, and QK900-989

Wildland fire managers are increasingly embracing risk management principles by being more anticipatory, proactive, and “engaging the fire before it starts”. This entails investing in pre-season, cross-boundary, strategic fire response planning with partners and stakeholders to build a shared understanding of wildfire risks and management opportunities. A key innovation in planning is the development of potential operational delineations (PODs), i.e., spatial management units whose boundaries are relevant to fire containment operations (e.g., roads, ridgetops, and fuel transitions), and within which potential fire consequences, suppression opportunities/challenges, and strategic response objectives can be analyzed to inform fire management decision making. As of the summer of 2020, PODs have been developed on more than forty landscapes encompassing National Forest System lands across the western USA, providing utility for planning, communication, mitigation prioritization, and incident response strategy development. Here, we review development of a decision support tool—a POD Atlas—intended to facilitate cross-boundary, collaborative strategic wildfire planning and management by providing high-resolution information on landscape conditions, values at risk, and fire management resource needs for individual PODs. With the atlas, users can rapidly access and assimilate multiple forms of pre-loaded data and analytics in a customizable manner. We prototyped and operationalized this tool in concert with, and for use by, fire managers on several National Forests in the Southern Rocky Mountains of the USA. We present examples, discuss real-world use cases, and highlight opportunities for continued decision support improvement.