scholarly journals Computer Aided Design to Produce High-Detail Models through Low Cost Digital Fabrication for the Conservation of Aerospace Heritage

2019 ◽  
Vol 9 (11) ◽  
pp. 2338 ◽  
Author(s):  
Jose Luis Saorín ◽  
Vicente Lopez-Chao ◽  
Jorge de la Torre-Cantero ◽  
Manuel Drago Díaz-Alemán

Aerospace heritage requires tools that allow its transfer and conservation beyond photographs and texts. The complexity of these engineering projects can be collected through digital graphic representation. Nevertheless, physical scale models provide additional information of high value when they involve full detailed information, for which the model in engineering was normally one more product of the manufacturing process, which entails a high cost. However, the standardization of digital fabrication allows the manufacture of high-detail models at low cost. For this reason, in this paper a case study of the graphic reengineering and planning stages for digital fabrication of a full-scale high-detail model (HDM) of the spatial instrument of the European Space Agency, named the Solar Orbiter mission Polarimetric and Helioseismic Imager (SO/PHI), is presented. After the analysis of this experience, seven stages of planning and graphic reengineering are proposed through collaborative work for the low cost digital manufacture of HDMs.

2020 ◽  
Vol 64 (5) ◽  
pp. 50405-1-50405-5
Author(s):  
Young-Woo Park ◽  
Myounggyu Noh

Abstract Recently, the three-dimensional (3D) printing technique has attracted much attention for creating objects of arbitrary shape and manufacturing. For the first time, in this work, we present the fabrication of an inkjet printed low-cost 3D temperature sensor on a 3D-shaped thermoplastic substrate suitable for packaging, flexible electronics, and other printed applications. The design, fabrication, and testing of a 3D printed temperature sensor are presented. The sensor pattern is designed using a computer-aided design program and fabricated by drop-on-demand inkjet printing using a magnetostrictive inkjet printhead at room temperature. The sensor pattern is printed using commercially available conductive silver nanoparticle ink. A moving speed of 90 mm/min is chosen to print the sensor pattern. The inkjet printed temperature sensor is demonstrated, and it is characterized by good electrical properties, exhibiting good sensitivity and linearity. The results indicate that 3D inkjet printing technology may have great potential for applications in sensor fabrication.


Author(s):  
Antor Mahamudul Hashan ◽  
Abdullah Haidari ◽  
Srishti Saha ◽  
Titas Paul

Due to the rapid development of technology, the use of numerically controlled machines in the industry is increasing. The main idea behind this paper is computer-aided design (CAD) based low-cost computer numerical control 2D drawing robot that can accurately draw complex circuits, diagrams, logos, etc. The system is created using open-source hardware and software, which makes it available at a low cost. The open-source LibreCAD application has been used for computer-aided design. Geometric data of a CAD model is converted to coordinate points using the python-based F-Engrave application. This system uses the Arduino UNO board as a signal generator of the universal g-code sender without compromising the performance. The proposed drawing robot is designed as a low-cost robot for educational purposes and aims to increase the student's interest in robotics and computer-aided design (CAD) skills to the next level. The drawing robot structure has been developed, and it meets the requirements of low cost with satisfactory experimental results.


Author(s):  
Aggelos Liapis ◽  
Evangelos Argyzoudis

The Concurrent Design Facility (CDF) of the European Space Agency (ESA) allows a team of experts from several disciplines to apply concurrent engineering for the design of future space missions. It facilitates faster and effective interaction of all disciplines involved, ensuring consistent and high-quality results. It is primarily used to assess the technical and financial feasibility of future space missions and new spacecraft concepts, though for some projects, the facilities and the data exchange model are used during later phases. This chapter focuses on the field of computer supported collaborative work (CSCW) and its supporting areas whose mission is to support interaction between people, using computers as the enabling technology. Its aim is to present the design and implementation framework of a semantically driven, collaborative working environment (CWE) that allows ESA’s CDF to be used by projects more extensively and effectively during project meetings, task forces, and reviews.


Author(s):  
Kazuhiro Muramatsu ◽  
Sonam Wangmo

Design education is important at technical universities and colleges. In general, real product design requires collaborative work. In this chapter, the authors discuss collaborative design education. An A360 cloud platform on Autodesk's 3D computer-aided design “AutoCAD” is adopted to illustrate a collaborative design activity implemented in the Engineering Graphics class offered at the College of Science and Technology, Royal University of Bhutan. By using A360 cloud, students can share a 3D model with group members. Based on feedback received, students can modify the initial model, share it, print, and discuss the modified object with members. This collaborative work allows students to create enhanced 3D design objects while engaged in discussions and interactions. The authors also discuss some difficulties encountered during the collaborative process and offer recommendations and future research ideas.


Author(s):  
Diego Ordóñez ◽  
Carlos Dafonte ◽  
Bernardino Arcay ◽  
Minia Manteiga

A stellar spectrum is the finger-print identification of a particular star, the result of the radiation transport through its atmosphere. The physical conditions in the stellar atmosphere, its effective temperature, surface gravity, and the presence and abundance of chemical elements explain the observed features in the stellar spectra, such as the shape of the overall continuum and the presence and strength of particular lines and bands. The derivation of the atmospheric stellar parameters from a representative sample of stellar spectra collected by ground-based and spatial telescopes is essential when a realistic view of the Galaxy and its components is to be obtained. In the last decade, extensive astronomical surveys recording information of large portions of the sky have become a reality since the development of robotic or semi-automated telescopes. The Gaia satellite is one of the key missions of the European Space Agency (ESA) and its launch is planned for 2011. Gaia will carry out the so-called Galaxy Census by extracting precise information on the nature of its main constituents, including the spectra of objects (Wilkinson, 2005). Traditional methods for the extraction of the fundamental atmospheric stellar parameters (effective temperature (Teff), gravity (log G), metallicity ([Fe/H]), and abundance of alpha elements [a/Fe], elements integer multiples of the mass of the helium nucleus) are time-consuming and unapproachable for a massive survey involving 1 billion objects (about 1% of the Galaxy constituents) such as Gaia. This work presents the results of the authors’ study and shows the feasibility of an automated extraction of the previously mentioned stellar atmospheric parameters from near infrared spectra in the wavelength region of the Gaia Radial Velocity Spectrograph (RVS). The authors’ approach is based on a technique that has already been applied to problems of the non-linear parameterization of signals: artificial neural networks. It breaks ground in the consideration of transformed domains (Fourier and Wavelet Transforms) during the preprocessing stage of the spectral signals in order to select the frequency resolution that is best suited for each atmospheric parameter. The authors have also progressed in estimating the noise (SNR) that blurs the signal on the basis of its power spectrum and the application of noise-dependant algorithms of parameterization. This study has provided additional information that allows them to progress in the development of hybrid systems devoted to the automated classification of stellar spectra.


2019 ◽  
Vol 9 (1) ◽  
pp. 450-458
Author(s):  
Juho-Pekka Virtanen ◽  
Kim-Niklas Antin ◽  
Matti Kurkela ◽  
Hannu Hyyppä

AbstractBy combining additive manufacturing with 3D measurement techniques, tailored production work-flows that include the digitizing of existing components, computer-aided design, and tool-free manufacturing of the customized parts can be envisioned, potentially reducing the costs of mass customization. The introduction of affordable depth cameras has greatly increased the consumer availability of 3D measuring. We present the application of an affordable depth camera for the 3D digitizing of existing components, the utilization of the produced data in the design process, and finally, the production of the designed component with additive manufacturing. The capabilities of the affordable depth camera system are evaluated by comparing it with photogrammetric 3D reconstruction, revealing issues in smaller geometric details and sharp edges.


Author(s):  
Robert E. Wendrich

Current and ongoing research and experimentations in the creation, design and build of low-cost, high-value prototypes for novel and unconventional interaction devices (IxD) in combination with cyber-physical system (CPS) (i.e. hybrid design tools (HDT), blended spaces) tangible user interfaces (TUI) and use of sensor technology lead to a variety of novel interaction modalities, experiences and possibilities. In line with this research, we propose a first prototype Human Sensor Selection Tool (HSST) as a preliminary guide and guidelines for design and engineering domains. The HSST is based on and inspired by the ‘five human senses’ [1], a plethora in human body signals (e.g. proprioceptive, vestibular) and gestures (e.g. facial expression, (e-)motions) that could be integrated, translated, transformed, adapted or mimicked to enhance and enrich the interaction modalities with for example computer-aided design (CAD), computer-aided technologies (CAx), and effectively affective CPS.


2017 ◽  
Vol 23 (6) ◽  
pp. 1020-1031 ◽  
Author(s):  
Miguel Fernandez-Vicente ◽  
Ana Escario Chust ◽  
Andres Conejero

Purpose The purpose of this paper is to describe a novel design workflow for the digital fabrication of custom-made orthoses (CMIO). It is intended to provide an easier process for clinical practitioners and orthotic technicians alike. It further functions to reduce the dependency of the operators’ abilities and skills. Design/methodology/approach The technical assessment covers low-cost three-dimensional (3D) scanning, free computer-aided design (CAD) software, and desktop 3D printing and acetone vapour finishing. To analyse its viability, a cost comparison was carried out between the proposed workflow and the traditional CMIO manufacture method. Findings The results show that the proposed workflow is a technically feasible and cost-effective solution to improve upon the traditional process of design and manufacture of custom-made static trapeziometacarpal (TMC) orthoses. Further studies are needed for ensuring a clinically feasible approach and for estimating the efficacy of the method for the recovery process in patients. Social implications The feasibility of the process increases the impact of the study, as the great accessibility to this type of 3D printers makes the digital fabrication method easier to be adopted by operators. Originality/value Although some research has been conducted on digital fabrication of CMIO, few studies have investigated the use of desktop 3D printing in any systematic way. This study provides a first step in the exploration of a new design workflow using low-cost digital fabrication tools combined with non-manual finishing.


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