This page has only limited features, please log in for full access.
One of the main challenges for the implementation of artificial intelligence (AI) in agriculture includes the low replicability and the corresponding difficulty in systematic data gathering, as no two fields are exactly alike. Therefore, the comparison of several pilot experiments in different fields, weather conditions and farming techniques enhances the collective knowledge. Thus, this work provides a summary of the most recent research activities in the form of research projects implemented and validated by the authors in several European countries, with the objective of presenting the already achieved results, the current investigations and the still open technical challenges. As an overall conclusion, it can be mentioned that even though in their primary stages in some cases, AI technologies improve decision support at farm level, monitoring conditions and optimizing production to allow farmers to apply the optimal number of inputs for each crop, thereby boosting yields and reducing water use and greenhouse gas emissions. Future extensions of this work will include new concepts based on autonomous and intelligent robots for plant and soil sample retrieval, and effective livestock management.
Maria Linaza; Jorge Posada; Jürgen Bund; Peter Eisert; Marco Quartulli; Jürgen Döllner; Alain Pagani; Igor G. Olaizola; Andre Barriguinha; Theocharis Moysiadis; Laurent Lucat. Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture. Agronomy 2021, 11, 1227 .
AMA StyleMaria Linaza, Jorge Posada, Jürgen Bund, Peter Eisert, Marco Quartulli, Jürgen Döllner, Alain Pagani, Igor G. Olaizola, Andre Barriguinha, Theocharis Moysiadis, Laurent Lucat. Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture. Agronomy. 2021; 11 (6):1227.
Chicago/Turabian StyleMaria Linaza; Jorge Posada; Jürgen Bund; Peter Eisert; Marco Quartulli; Jürgen Döllner; Alain Pagani; Igor G. Olaizola; Andre Barriguinha; Theocharis Moysiadis; Laurent Lucat. 2021. "Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture." Agronomy 11, no. 6: 1227.
In the context of generation of lubrication flows, gear pumps are widely used, with gerotor-type pumps being specially popular, given their low cost, high compactness, and reliability. The design process of gerotor pumps requires the simulation of the fluid dynamics phenomena that characterize the fluid displacement by the pump. Designers and researchers mainly rely on these methods: (i) computational fluid dynamics (CFD) and (ii) lumped parameter models. CFD methods are accurate in predicting the behavior of the pump, at the expense of large computing resources and time. On the other hand, Lumped Parameter models are fast and they do not require CFD software, at the expense of diminished accuracy. Usually, Lumped Parameter fluid simulation is mounted on specialized black-box visual programming platforms. The resulting pressures and flow rates are then fed to the design software. In response to the current status, this manuscript reports a virtual prototype to be used in the context of a Digital Twin tool. Our approach: (1) integrates pump design, fast approximate simulation, and result visualization processes, (2) does not require an external numerical solver platforms for the approximate model, (3) allows for the fast simulation of gerotor performance using sensor data to feed the simulation model, and (4) compares simulated data vs. imported gerotor operational data. Our results show good agreement between our prediction and CFD-based simulations of the actual pump. Future work is required in predicting rotor micro-movements and cavitation effects, as well as further integration of the physical pump with the software tool.
Juan Pareja-Corcho; Aitor Moreno; Bruno Simoes; Asier Pedrera-Busselo; Ekain San-Jose; Oscar Ruiz-Salguero; Jorge Posada. A Virtual Prototype for Fast Design and Visualization of Gerotor Pumps. Applied Sciences 2021, 11, 1190 .
AMA StyleJuan Pareja-Corcho, Aitor Moreno, Bruno Simoes, Asier Pedrera-Busselo, Ekain San-Jose, Oscar Ruiz-Salguero, Jorge Posada. A Virtual Prototype for Fast Design and Visualization of Gerotor Pumps. Applied Sciences. 2021; 11 (3):1190.
Chicago/Turabian StyleJuan Pareja-Corcho; Aitor Moreno; Bruno Simoes; Asier Pedrera-Busselo; Ekain San-Jose; Oscar Ruiz-Salguero; Jorge Posada. 2021. "A Virtual Prototype for Fast Design and Visualization of Gerotor Pumps." Applied Sciences 11, no. 3: 1190.
In the context of CAD CAM CAE (Computer-Aided Design, Manufacturing and Engineering) and Additive Manufacturing, the computation of level sets of closed 2-manifold triangular meshes (mesh slicing) is relevant for the generation of 3D printing patterns. Current slicing methods rely on the assumption that the function used to compute the level sets satisfies strong Morse conditions, rendering incorrect results when such a function is not a Morse one. To overcome this limitation, this manuscript presents an algorithm for the computation of mesh level sets under the presence of non-Morse degeneracies. To accomplish this, our method defines weak-Morse conditions, and presents a characterization of the possible types of degeneracies. This classification relies on the position of vertices, edges and faces in the neighborhood outside of the slicing plane. Finally, our algorithm produces oriented 1-manifold contours. Each contour orientation defines whether it belongs to a hole or to an external border. This definition is central for Additive Manufacturing purposes. We set up tests encompassing all known non-Morse degeneracies. Our algorithm successfully processes every generated case. Ongoing work addresses (a) a theoretical proof of completeness for our algorithm, (b) implementation of interval trees to improve the algorithm efficiency and, (c) integration into an Additive Manufacturing framework for industry applications.
Daniel Mejia-Parra; Oscar Ruiz-Salguero; Carlos Cadavid; Aitor Moreno; Jorge Posada. Level Sets of Weak-Morse Functions for Triangular Mesh Slicing. Mathematics 2020, 8, 1624 .
AMA StyleDaniel Mejia-Parra, Oscar Ruiz-Salguero, Carlos Cadavid, Aitor Moreno, Jorge Posada. Level Sets of Weak-Morse Functions for Triangular Mesh Slicing. Mathematics. 2020; 8 (9):1624.
Chicago/Turabian StyleDaniel Mejia-Parra; Oscar Ruiz-Salguero; Carlos Cadavid; Aitor Moreno; Jorge Posada. 2020. "Level Sets of Weak-Morse Functions for Triangular Mesh Slicing." Mathematics 8, no. 9: 1624.
Feature Recognition (FR) in Computer-aided Design (CAD) models is central for Design and Manufacturing. FR is a problem whose computational burden is intractable (NP-hard), given that its underlying task is the detection of graph isomorphism. Until now, compromises have been reached by only using FACE-based geometric information of prismatic CAD models to prune the search domain. Responding to such shortcomings, this manuscript presents an interactive FR method that more aggressively prunes the search space with reconfigurable geometric tests. Unlike previous approaches, our reconfigurable FR addresses curved EDGEs and FACEs. This reconfigurable approach allows enforcing arbitrary confluent topologic and geometric filters, thus handling an expanded scope. The test sequence is itself a graph (i.e., not a linear or total-order sequence). Unlike the existing methods that are FACE-based, the present one permits combinations of topologies whose dimensions are two (SHELL or FACE), one (LOOP or EDGE), or 0 (VERTEX). This system has been implemented in an industrial environment, using icon graphs for the interactive rule configuration. The industrial instancing allows industry based customization and itis faster when compared to topology-based feature recognition. Future work is required in improving the robustness of search conditions, treating the problem of interacting or nested features, and improving the graphic input interface.
Juan Pareja-Corcho; Oscar Betancur-Acosta; Jorge Posada; Antonio Tammaro; Oscar Ruiz-Salguero; Carlos Cadavid. Reconfigurable 3D CAD Feature Recognition Supporting Confluent n-Dimensional Topologies and Geometric Filters for Prismatic and Curved Models. Mathematics 2020, 8, 1356 .
AMA StyleJuan Pareja-Corcho, Oscar Betancur-Acosta, Jorge Posada, Antonio Tammaro, Oscar Ruiz-Salguero, Carlos Cadavid. Reconfigurable 3D CAD Feature Recognition Supporting Confluent n-Dimensional Topologies and Geometric Filters for Prismatic and Curved Models. Mathematics. 2020; 8 (8):1356.
Chicago/Turabian StyleJuan Pareja-Corcho; Oscar Betancur-Acosta; Jorge Posada; Antonio Tammaro; Oscar Ruiz-Salguero; Carlos Cadavid. 2020. "Reconfigurable 3D CAD Feature Recognition Supporting Confluent n-Dimensional Topologies and Geometric Filters for Prismatic and Curved Models." Mathematics 8, no. 8: 1356.
Lattice-based workpieces contain patterned repetition of individuals of a basic topology (Schwarz, ortho-walls, gyroid, etc.) with each individual having distinct geometric grading. In the context of the design, analysis and manufacturing of lattice workpieces, the problem of rapidly assessing the mechanical behavior of large domains is relevant for pre-evaluation of designs. In this realm, two approaches can be identified: (1) numerical simulations which usually bring accuracy but limit the size of the domains that can be studied due to intractable data sizes, and (2) material homogenization strategies that sacrifice precision to favor efficiency and allow for simulations of large domains. Material homogenization synthesizes diluted material properties in a lattice, according to the volume occupancy factor of such a lattice. Preliminary publications show that material homogenization is reasonable in predicting displacements, but is not in predicting stresses (highly sensitive to local geometry). As a response to such shortcomings, this paper presents a methodology that systematically uses design of experiments (DOE) to produce simple mathematical expressions (meta-models) that relate the stress–strain behavior of the lattice domain and the displacements of the homogeneous domain. The implementation in this paper estimates the von Mises stress in large Schwarz primitive lattice domains under compressive loads. The results of our experiments show that (1) material homogenization can efficiently and accurately approximate the displacements field, even in complex lattice domains, and (2) material homogenization and DOE can produce rough estimations of the von Mises stress in large domains (more than 100 cells). The errors in the von Mises stress estimations reach 42 % for domains of up to 24 cells. This result means that coarse stress–strain estimations may be possible in lattice domains by combining DOE and homogenized material properties. This option is not suitable for precise stress prediction in sensitive contexts wherein high accuracy is needed. Future work is required to refine the meta-models to improve the accuracies of the estimations.
Diego Montoya-Zapata; Diego A. Acosta; Camilo Cortés; Juan Pareja-Corcho; Aitor Moreno; Jorge Posada; Oscar Ruiz-Salguero. Approximation of the Mechanical Response of Large Lattice Domains Using Homogenization and Design of Experiments. Applied Sciences 2020, 10, 3858 .
AMA StyleDiego Montoya-Zapata, Diego A. Acosta, Camilo Cortés, Juan Pareja-Corcho, Aitor Moreno, Jorge Posada, Oscar Ruiz-Salguero. Approximation of the Mechanical Response of Large Lattice Domains Using Homogenization and Design of Experiments. Applied Sciences. 2020; 10 (11):3858.
Chicago/Turabian StyleDiego Montoya-Zapata; Diego A. Acosta; Camilo Cortés; Juan Pareja-Corcho; Aitor Moreno; Jorge Posada; Oscar Ruiz-Salguero. 2020. "Approximation of the Mechanical Response of Large Lattice Domains Using Homogenization and Design of Experiments." Applied Sciences 10, no. 11: 3858.
The goal of this study is to measure the effectiveness of a career development system implemented at a research and technology organization at satisfying the context requirements of a decree issued by the Basque Country government. Through in-depth surveying of 80 R&D professionals over the five years, the authors aimed to determine whether a career development system, when it is linked to context requirements and researchers’ contributions, could offer researchers feedback about their career aims and increase their job satisfaction. During the five years of the study, the researchers’ capacity to meet career requirements improved by 20%, and job satisfaction, although it declined at first, increased substantially in the last two years, reaching a historic high for the employee satisfaction survey.
Edurne Loyarte-López; Igor García-Olaizola; Jorge Posada; Iñaki Azúa; Julián Flórez. Sustainable career development for R&D professionals: Applying a career development system in Basque country. International Journal of Innovation Studies 2020, 4, 40 -50.
AMA StyleEdurne Loyarte-López, Igor García-Olaizola, Jorge Posada, Iñaki Azúa, Julián Flórez. Sustainable career development for R&D professionals: Applying a career development system in Basque country. International Journal of Innovation Studies. 2020; 4 (2):40-50.
Chicago/Turabian StyleEdurne Loyarte-López; Igor García-Olaizola; Jorge Posada; Iñaki Azúa; Julián Flórez. 2020. "Sustainable career development for R&D professionals: Applying a career development system in Basque country." International Journal of Innovation Studies 4, no. 2: 40-50.
In flexible manufacturing systems, fast feedback from simulation solutions is required for effective tool path planning and parameter optimization. In the particular sub-domain of laser heating/cutting of thin rectangular plates, current state-of-the-art methods include frequency-domain (spectral) analytic solutions that greatly reduce the required computational time in comparison to industry standard finite element based approaches. However, these spectral solutions have not been presented previously in terms of Fourier methods and Fast Fourier Transform (FFT) implementations. This manuscript presents four different schemes that translate the problem of laser heating of rectangular plates into equivalent FFT problems. The presented schemes make use of the FFT algorithm to reduce the computational time complexity of the problem from O ( M 2 N 2 ) to O ( M N log ( M N ) ) (with M × N being the discretization size of the plate). The test results show that the implemented schemes outperform previous non-FFT approaches both in CPU and GPU hardware, resulting in 100 × faster runs. Future work addresses thermal/stress analysis, non-rectangular geometries and non-linear interactions (such as material melting/ablation, convection and radiation heat transfer).
Daniel Mejia-Parra; Ander Arbelaiz; Oscar Ruiz-Salguero; Juan Lalinde-Pulido; Aitor Moreno; Jorge Posada. Fast Simulation of Laser Heating Processes on Thin Metal Plates with FFT Using CPU/GPU Hardware. Applied Sciences 2020, 10, 3281 .
AMA StyleDaniel Mejia-Parra, Ander Arbelaiz, Oscar Ruiz-Salguero, Juan Lalinde-Pulido, Aitor Moreno, Jorge Posada. Fast Simulation of Laser Heating Processes on Thin Metal Plates with FFT Using CPU/GPU Hardware. Applied Sciences. 2020; 10 (9):3281.
Chicago/Turabian StyleDaniel Mejia-Parra; Ander Arbelaiz; Oscar Ruiz-Salguero; Juan Lalinde-Pulido; Aitor Moreno; Jorge Posada. 2020. "Fast Simulation of Laser Heating Processes on Thin Metal Plates with FFT Using CPU/GPU Hardware." Applied Sciences 10, no. 9: 3281.
Overview: Performance measurement systems are a fundamental concern for R&D managers and executives. The main challenge is ensuring that R&D managers can match organizational key performance indicators with researchers’ interests. This article details a new approach to measuring the fuzzy parameter of researchers’ performance. It presents a case study on the implementation of a rating system in a research technology organization and reports the results the system achieved, including researcher satisfaction. We describe which researcher skills were selected for rating, the evaluation criteria developed, and the data collection system that supported the rating process. The rating system was developed to be objective and acceptable to researchers, and to support achievement of desired corporate results. We present lessons learned from implementation over four years.
Edurne Loyarte-López; Igor García-Olaizola; Jorge Posada; Iñaki Azúa; Julián Flórez-Esnal. Enhancing Researchers’ Performance by Building Commitment to Organizational Results. Research-Technology Management 2020, 63, 46 -54.
AMA StyleEdurne Loyarte-López, Igor García-Olaizola, Jorge Posada, Iñaki Azúa, Julián Flórez-Esnal. Enhancing Researchers’ Performance by Building Commitment to Organizational Results. Research-Technology Management. 2020; 63 (2):46-54.
Chicago/Turabian StyleEdurne Loyarte-López; Igor García-Olaizola; Jorge Posada; Iñaki Azúa; Julián Flórez-Esnal. 2020. "Enhancing Researchers’ Performance by Building Commitment to Organizational Results." Research-Technology Management 63, no. 2: 46-54.
Se diseñó un protocolo para la percepción del riesgo laboral con enfasis preventivo en accidentes y enfermedades laborales para las empresas del sector metalmecánico de la ciudad de Barranquilla, ubicado al norte de Colombia. La investigación es de tipo no experimental, descriptiva y transversal; para este estudio se utilizó, un cuestionario integrado por 74 ítems, divididos en 3 apartados: datos demográficos, conocimiento en prevención de riesgos laborales y la identificación de los factores de riesgos. Para validar el instrumento se utilizó el Alfa Cronbach el cual alcanzó un valor de 0.95. Los principales hallazgos nos indican que, los trabajadores presentan un nivel bajo en prevención de accidentes y enfermedades laborales. Se evidencia falta de intervención del gobierno y pocos recursos de los empleadores para cumplir con la normatividad vigente.
Irlena Ahumada-Villafañe; Jose Palacio-Angulo; Jorge Posada-Lopez; Ivan Dario Orjuela. Percepción del riesgo laboral en trabajadores operativos del sector metalmecánico. IPSA Scientia, revista científica multidisciplinaria 2019, 4, 49 -59.
AMA StyleIrlena Ahumada-Villafañe, Jose Palacio-Angulo, Jorge Posada-Lopez, Ivan Dario Orjuela. Percepción del riesgo laboral en trabajadores operativos del sector metalmecánico. IPSA Scientia, revista científica multidisciplinaria. 2019; 4 (1):49-59.
Chicago/Turabian StyleIrlena Ahumada-Villafañe; Jose Palacio-Angulo; Jorge Posada-Lopez; Ivan Dario Orjuela. 2019. "Percepción del riesgo laboral en trabajadores operativos del sector metalmecánico." IPSA Scientia, revista científica multidisciplinaria 4, no. 1: 49-59.
In the context of lattice-based design and manufacturing, the problem of physical realization of density maps into lattices of a particular family is central. Density maps are prescribed by design optimization algorithms, which seek to fulfill structural demands on a workpiece, while saving material. These density maps cannot be directly manufactured since local graded densities cannot be achieved using the bulk solid material. Because of this reason, existing topology optimization approaches bias the local voxel relative density to either 0 (void) or 1 (filled). Additive manufacturing opens possibilities to produce graded density individuals belonging to different lattice families. However, voxel-level sampled boundary representations of the individuals produce rough and possibly disconnected shells. In response to this limitation, this article uses sub-voxel sampling (largely unexploited in the literature) to generate lattices of graded densities. This sub-voxel sampling eliminates the risk of shell disconnections and renders better surface continuity. The manuscript devises a function to produce Schwarz cells that materialize a given relative density. This article illustrates a correlation of continuity against stress concentration by simulating C 0 and C 1 inter-lattice continuity. The implemented algorithm produces implicit functions and thus lattice designs which are suitable for metal additive manufacturing and able to achieve the target material savings. The resulting workpieces, produced by outsource manufacturers, are presented. Additional work is required in the modeling of the mechanical response (stress/strain/deformation) and response of large lattice sets (with arbitrary geometry and topology) under working loads.
Diego Montoya-Zapata; Aitor Moreno; Juan Pareja-Corcho; Jorge Posada; Oscar Ruiz-Salguero. Density-Sensitive Implicit Functions Using Sub-Voxel Sampling in Additive Manufacturing. Metals 2019, 9, 1293 .
AMA StyleDiego Montoya-Zapata, Aitor Moreno, Juan Pareja-Corcho, Jorge Posada, Oscar Ruiz-Salguero. Density-Sensitive Implicit Functions Using Sub-Voxel Sampling in Additive Manufacturing. Metals. 2019; 9 (12):1293.
Chicago/Turabian StyleDiego Montoya-Zapata; Aitor Moreno; Juan Pareja-Corcho; Jorge Posada; Oscar Ruiz-Salguero. 2019. "Density-Sensitive Implicit Functions Using Sub-Voxel Sampling in Additive Manufacturing." Metals 9, no. 12: 1293.
The new advances of IIOT (Industrial Internet of Things), together with the progress in visual computing technologies, are being addressed by the research community with interesting approaches and results in the Industry 4.0 domain
Luis Norberto López de Lacalle; Jorge Posada; López De Lacalle. Special Issue on New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes. Applied Sciences 2019, 9, 4323 .
AMA StyleLuis Norberto López de Lacalle, Jorge Posada, López De Lacalle. Special Issue on New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes. Applied Sciences. 2019; 9 (20):4323.
Chicago/Turabian StyleLuis Norberto López de Lacalle; Jorge Posada; López De Lacalle. 2019. "Special Issue on New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes." Applied Sciences 9, no. 20: 4323.
In this article we propose an architecture for the inclusion and exploitation of semantic aspects in a CAD environment. Our schema focuses on the enhancement and improvement of a commercial (general purpose) CAD system on its Virtual Reality (VR) capabilities. There is a need in combining CAD and semantics in the new generation of computer assisted engineering systems. Usually semantic aspects in traditional CAD applications relay on the user’s tacit knowledge, a fact that slows the learning curve while the user is getting trained with a new tool, no matter if he is an expert in others. Moreover, current CAD programs offer a myriad of options to the designer, but their limited integration of the non geometric information (e.g. PDM systems), and in general the semantics of the design process, can still be improved for the current needs of the industry. We argue that the use of semantics could improve the workflow and capabilities of the software and would benefit a new user (non experienced one) in order to produce better results in shorter times. In this paper our main focus is the enhancement of the visualization and VR capabilities in generic CAD applications. Our semantic CAD framework uses ontology modeling as well as engineering standards in order to conceptualize and exploit the information contained in a CAD model. To show some benefits of our proposed schema, we present two cases in different engineering domains (plant design and Steel detailing design), where the inclusion of semantics empowers a VR experience.
Carlos Toro; Jorge Posada; Stefan Wundrak; André Stork. Improving Virtual Reality Applications in CAD through Semantics. International Journal of Virtual Reality 2019, 5, 39 -46.
AMA StyleCarlos Toro, Jorge Posada, Stefan Wundrak, André Stork. Improving Virtual Reality Applications in CAD through Semantics. International Journal of Virtual Reality. 2019; 5 (4):39-46.
Chicago/Turabian StyleCarlos Toro; Jorge Posada; Stefan Wundrak; André Stork. 2019. "Improving Virtual Reality Applications in CAD through Semantics." International Journal of Virtual Reality 5, no. 4: 39-46.
In the context of CAD, CAM, CAE, and reverse engineering, the problem of mesh parameterization is a central process. Mesh parameterization implies the computation of a bijective map ϕ from the original mesh M∈R3 to the planar domain ϕ(M)∈R2. The mapping may preserve angles, areas, or distances. Distance-preserving parameterizations (i.e., isometries) are obviously attractive. However, geodesic-based isometries present limitations when the mesh has concave or disconnected boundary (i.e., holes). Recent advances in computing geodesic maps using the heat equation in 2-manifolds motivate us to revisit mesh parameterization with geodesic maps. We devise a Poisson surface underlying, extending, and filling the holes of the mesh M. We compute a near-isometric mapping for quasi-developable meshes by using geodesic maps based on heat propagation. Our method: (1) Precomputes a set of temperature maps (heat kernels) on the mesh; (2) estimates the geodesic distances along the piecewise linear surface by using the temperature maps; and (3) uses multidimensional scaling (MDS) to acquire the 2D coordinates that minimize the difference between geodesic distances on M and Euclidean distances on R2. This novel heat-geodesic parameterization is successfully tested with several concave and/or punctured surfaces, obtaining bijective low-distortion parameterizations. Failures are registered in nonsegmented, highly nondevelopable meshes (such as seam meshes). These cases are the goal of future endeavors.
Daniel Mejia-Parra; Jairo R. Sánchez; Jorge Posada; Oscar Ruiz-Salguero; Carlos Cadavid. Quasi-Isometric Mesh Parameterization Using Heat-Based Geodesics and Poisson Surface Fills. Mathematics 2019, 7, 753 .
AMA StyleDaniel Mejia-Parra, Jairo R. Sánchez, Jorge Posada, Oscar Ruiz-Salguero, Carlos Cadavid. Quasi-Isometric Mesh Parameterization Using Heat-Based Geodesics and Poisson Surface Fills. Mathematics. 2019; 7 (8):753.
Chicago/Turabian StyleDaniel Mejia-Parra; Jairo R. Sánchez; Jorge Posada; Oscar Ruiz-Salguero; Carlos Cadavid. 2019. "Quasi-Isometric Mesh Parameterization Using Heat-Based Geodesics and Poisson Surface Fills." Mathematics 7, no. 8: 753.
In this paper, we discuss how Cross Reality (XR) and the Industrial Internet of Things (IIoT) can support assembly tasks in hybrid human-machine manufacturing lines. We describe a Cross Reality system, designed to improve efficiency and ergonomics in industrial environments that require manual assembly operations. Our objective is to reduce the high costs of authoring assembly manuals and to improve the process of skills transfer, in particular, in assembly tasks that include workers with disabilities. The automation of short-lived assembly tasks, i.e., manufacturing of limited batches of customized products, does not yield significant returns considering the automation effort necessary and the production time frame. In the design of our XR system, we discuss how aspects of content creation can be automated for short-lived tasks and how seamless interoperability between devices facilitates skills transfer in human-machine hybrid environments.
Bruno Simões; Raffaele De Amicis; Iñigo Barandiaran; Jorge Posada. Cross reality to enhance worker cognition in industrial assembly operations. The International Journal of Advanced Manufacturing Technology 2019, 105, 3965 -3978.
AMA StyleBruno Simões, Raffaele De Amicis, Iñigo Barandiaran, Jorge Posada. Cross reality to enhance worker cognition in industrial assembly operations. The International Journal of Advanced Manufacturing Technology. 2019; 105 (9):3965-3978.
Chicago/Turabian StyleBruno Simões; Raffaele De Amicis; Iñigo Barandiaran; Jorge Posada. 2019. "Cross reality to enhance worker cognition in industrial assembly operations." The International Journal of Advanced Manufacturing Technology 105, no. 9: 3965-3978.
In the context of Computer Simulation, the problem of heat transfer analysis of thin plate laser heating is relevant for downstream simulations of machining processes. Alternatives to address the problem include (i) numerical methods, which require unaffordable time and storage computing resources even for very small domains, (ii) analytical methods, which are less expensive but are limited to simple geometries, straight trajectories and do not account for material non-linearities or convective cooling. This manuscript presents a parallel efficient analytic method to determine, in a thin plate under convective cooling, the transient temperature field resulting from application of a laser spot following a curved trajectory. Convergence of both FEA (Finite Element Analysis) and the analytic approaches for a small planar plate is presented, estimating a maximum relative error for the analytic approach below 3.5% at the laser spot. Measured computing times evidence superior efficiency of the analytic approach w.r.t. FEA. A study case, with the analytic solution, for a large spatial and time domain (1m×1m and 12s history, respectively) is presented. This case is not tractable with FEA, where domains larger than 0.05m×0.05m and 2s require high amounts of computing time and storage.
Daniel Mejia-Parra; Aitor Moreno; Jorge Posada; Oscar Ruiz-Salguero; Iñigo Barandiaran; Juan Carlos Poza; Raúl Chopitea. Frequency-domain analytic method for efficient thermal simulation under curved trajectories laser heating. Mathematics and Computers in Simulation 2019, 166, 177 -192.
AMA StyleDaniel Mejia-Parra, Aitor Moreno, Jorge Posada, Oscar Ruiz-Salguero, Iñigo Barandiaran, Juan Carlos Poza, Raúl Chopitea. Frequency-domain analytic method for efficient thermal simulation under curved trajectories laser heating. Mathematics and Computers in Simulation. 2019; 166 ():177-192.
Chicago/Turabian StyleDaniel Mejia-Parra; Aitor Moreno; Jorge Posada; Oscar Ruiz-Salguero; Iñigo Barandiaran; Juan Carlos Poza; Raúl Chopitea. 2019. "Frequency-domain analytic method for efficient thermal simulation under curved trajectories laser heating." Mathematics and Computers in Simulation 166, no. : 177-192.
Industrial dimensional assessment presents instances in which early control is exerted among “warm” (approx. 600 ∘C) pieces. Early control saves resources, as defective processes are timely stopped and corrected. Existing literature is devoid of dimensional assessment on warm workpieces. In response to this absence, this manuscript presents the implementation and results of an optical system which performs in-line dimensional inspection of revolution warm workpieces singled out from the (forming) process. Our system can automatically measure, in less than 60 s, the circular runout of warm revolution workpieces. Such a delay would be 20 times longer if cool-downs were required. Off-line comparison of the runout of T-temperature workpieces (27 ∘C ≤ T ≤ 560 ∘C) shows a maximum difference of 0.1 mm with respect to standard CMM (Coordinate Measurement Machine) runout of cold workpieces (27 ∘C), for workpieces as long as 160 mm. Such a difference is acceptable for the forging process in which the system is deployed. The test results show no correlation between the temperature and the runout of the workpiece at such level of uncertainty. A prior-to-operation Analysis of Variance (ANOVA) test validates the repeatability and reproducibility (R&R) of our measurement system. In-line assessment of warm workpieces fills a gap in manufacturing processes where early detection of dimensional misfits compensates for the precision loss of the vision system. The integrated in-line system reduces the number of defective workpieces by 95 % .
Daniel Mejia-Parra; Jairo R. Sánchez; Oscar Ruiz-Salguero; Marcos Alonso; Alberto Izaguirre; Erik Gil; Jorge Palomar; Jorge Posada; Marcos Alonso. In-Line Dimensional Inspection of Warm-Die Forged Revolution Workpieces Using 3D Mesh Reconstruction. Applied Sciences 2019, 9, 1069 .
AMA StyleDaniel Mejia-Parra, Jairo R. Sánchez, Oscar Ruiz-Salguero, Marcos Alonso, Alberto Izaguirre, Erik Gil, Jorge Palomar, Jorge Posada, Marcos Alonso. In-Line Dimensional Inspection of Warm-Die Forged Revolution Workpieces Using 3D Mesh Reconstruction. Applied Sciences. 2019; 9 (6):1069.
Chicago/Turabian StyleDaniel Mejia-Parra; Jairo R. Sánchez; Oscar Ruiz-Salguero; Marcos Alonso; Alberto Izaguirre; Erik Gil; Jorge Palomar; Jorge Posada; Marcos Alonso. 2019. "In-Line Dimensional Inspection of Warm-Die Forged Revolution Workpieces Using 3D Mesh Reconstruction." Applied Sciences 9, no. 6: 1069.
Diego Montoya-Zapata; Diego A. Acosta; Oscar Ruiz-Salguero; Jorge Posada; David Sanchez-Londono. A General Meta-graph Strategy for Shape Evolution under Mechanical Stress. Cybernetics and Systems 2019, 50, 3 -24.
AMA StyleDiego Montoya-Zapata, Diego A. Acosta, Oscar Ruiz-Salguero, Jorge Posada, David Sanchez-Londono. A General Meta-graph Strategy for Shape Evolution under Mechanical Stress. Cybernetics and Systems. 2019; 50 (1):3-24.
Chicago/Turabian StyleDiego Montoya-Zapata; Diego A. Acosta; Oscar Ruiz-Salguero; Jorge Posada; David Sanchez-Londono. 2019. "A General Meta-graph Strategy for Shape Evolution under Mechanical Stress." Cybernetics and Systems 50, no. 1: 3-24.
A review was made on the most relevant documents on strategic epidemiology for occupational safety and health. The present article has as peculiarity to analyze qualitatively the scientific literature available in the databases Scielo, Redalyc and official Web pages, using as search words: epidemiology, industrial safety and occupational health. Relevant information was obtained related to the proposed objective, which is presented in 3 sections: the epidemiology of safety and health; concepts, measures and studies in epidemiology and present and future challenges.
Jose Palacio-Angulo; Irlena Ahumada-Villafañe; Ivan Dario Orjuela; Jorge Posada-Lopez. Towards a strategic epidemiology of occupational safety and health. IPSA Scientia, revista científica multidisciplinaria 2018, 3, 30 -37.
AMA StyleJose Palacio-Angulo, Irlena Ahumada-Villafañe, Ivan Dario Orjuela, Jorge Posada-Lopez. Towards a strategic epidemiology of occupational safety and health. IPSA Scientia, revista científica multidisciplinaria. 2018; 3 (1):30-37.
Chicago/Turabian StyleJose Palacio-Angulo; Irlena Ahumada-Villafañe; Ivan Dario Orjuela; Jorge Posada-Lopez. 2018. "Towards a strategic epidemiology of occupational safety and health." IPSA Scientia, revista científica multidisciplinaria 3, no. 1: 30-37.
Nowadays there is a clear trend for improving productivity and efficiency in the Industrial sector by integrating new advanced ICT technologies that are re-shaping the industrial production paradigms, as in the Industry 4.0 initiative. This new trend does not only affect production lines and machines but also operators. Markets demanding efficiency and flexibility would not be possible excluding the human-factor. Putting the operators in the centre of this new paradigm is mandatory for its success. The operators need to be empowered by giving them new tools and solutions for improving their decision-making processes. In this paper we show how Visual Computing technologies can play a key role in this empowering process, being therefore essential in the realization of the Operator 4.0 vision.
Álvaro Segura; Helen V. Diez; Iñigo Barandiaran; Ander Arbelaiz; Hugo Álvarez; Bruno Simões; Jorge Posada; Alejandro García-Alonso; Ramón Ugarte. Visual computing technologies to support the Operator 4.0. Computers & Industrial Engineering 2018, 139, 105550 .
AMA StyleÁlvaro Segura, Helen V. Diez, Iñigo Barandiaran, Ander Arbelaiz, Hugo Álvarez, Bruno Simões, Jorge Posada, Alejandro García-Alonso, Ramón Ugarte. Visual computing technologies to support the Operator 4.0. Computers & Industrial Engineering. 2018; 139 ():105550.
Chicago/Turabian StyleÁlvaro Segura; Helen V. Diez; Iñigo Barandiaran; Ander Arbelaiz; Hugo Álvarez; Bruno Simões; Jorge Posada; Alejandro García-Alonso; Ramón Ugarte. 2018. "Visual computing technologies to support the Operator 4.0." Computers & Industrial Engineering 139, no. : 105550.
Interactive multi-beam laser machining simulation is crucial in the context of tool path planning and optimization of laser machining parameters. Current simulation approaches for heat transfer analysis (1) rely on numerical Finite Element methods (or any of its variants), non-suitable for interactive applications; and (2) require the multiple laser beams to be completely synchronized in trajectories, parameters and time frames. To overcome this limitation, this manuscript presents an algorithm for interactive simulation of the transient temperature field on the sheet metal. Contrary to standard numerical methods, our algorithm is based on an analytic solution in the frequency domain, allowing arbitrary time/space discretizations without loss of precision and non-monotonic retrieval of the temperature history. In addition, the method allows complete asynchronous laser beams with independent trajectories, parameters and time frames. Our implementation in a GPU device allows simulations at interactive rates even for a large amount of simultaneous laser beams. The presented method is already integrated into an interactive simulation environment for sheet cutting. Ongoing work addresses thermal stress coupling and laser ablation.
Daniel Mejia-Parra; Diego Montoya-Zapata; Ander Arbelaiz; Aitor Moreno; Jorge Posada; Oscar Ruiz-Salguero. Fast Analytic Simulation for Multi-Laser Heating of Sheet Metal in GPU. Materials 2018, 11, 2078 .
AMA StyleDaniel Mejia-Parra, Diego Montoya-Zapata, Ander Arbelaiz, Aitor Moreno, Jorge Posada, Oscar Ruiz-Salguero. Fast Analytic Simulation for Multi-Laser Heating of Sheet Metal in GPU. Materials. 2018; 11 (11):2078.
Chicago/Turabian StyleDaniel Mejia-Parra; Diego Montoya-Zapata; Ander Arbelaiz; Aitor Moreno; Jorge Posada; Oscar Ruiz-Salguero. 2018. "Fast Analytic Simulation for Multi-Laser Heating of Sheet Metal in GPU." Materials 11, no. 11: 2078.