
Wesley Rodrigues de Oliveira
Linhas de Pesquisa
- • Robótica colaborativa
- • Integração de sistemas de automação da manufatura
Publicações (21)
A DFX Attribution Method Applied to Integrated Product Development within the Aerospace Domain
Copriva, Rogerio Greco , de Oliveira, Wesley Rodrigues , Trabasso, Luís Gonzaga
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© 2024, Departamento de Ciencia e Tecnologia Aeroespacial. All rights reserved.The aerospace industry continually seeks to optimize product development processes to remain competitive. Design for Excellence (DFX) plays a crucial role in meeting customer expectations while aligning with organizational capabilities. However, the diversity of DFX technological areas and methods can make it challenging for companies to select the appropriate ones for each project. Successful DFX application, ensuring projects stay within scope, time, cost, and quality constraints without overburdening the development process, often depends on the engineering team’s experience and the project phase. This work maps DFX technological areas to address the decision-making problem of selecting the most suitable ones for various projects. The objective is to evaluate, from the engineering team’s perspective, whether a general approach can guide project managers in selecting key DFX areas, considering a typical aerospace organization’s project portfolio and specific project phase characteristics. Starting with a literature review of DFX in aerospace, the research includes a survey along with senior product development engineers. Quantitative results are gathered using the Likert scale and analyzed through the analytic hierarchy process (AHP). The paper presents a method to guide the initial selection of DFX areas, aiding project managers and engineers in designing complex products.
Comparative Evaluation of Sensitivity Analysis Methods Applied to Distributed Photovoltaic Systems
Da Silva Kothe, Angelo Jeronimo , De Leles Ferreira Filho, Anesio , Domingues, Elder Geraldo , De Oliveira, Wesley Rodrigues , Togo, Henrique
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© 2024 IEEE.The use of statistical techniques, such as stochastic processes, Monte Carlo simulations and analysis of variance (ANOVA), has been widely used in power system analysis and are essential tools for developing studies and models with high methodological rigor. Sensitivity analysis, on the other hand, is widely recognized for its importance in robust modeling and uncertainty assessment, and although it is receiving increasing attention, it is still underused. For this reason, this study aims to compare sensitivity analysis methods in the context of power systems, assessing their effectiveness. To this end, a methodology that determines the technical impacts of the insertion of photovoltaic distributed generation on a feeder was adapted to evaluate the effects of inverter, system and location factors on average voltage violations. The results show the superiority of the global sensitivity analysis, which, by using Monte Carlo simulations, associates uncertainties in the inputs with the outputs, revealing previously unknown correlations or confirming existing ones, such as the well-known influence of inverters' reactive power on bus voltages and its potential application in voltage control.
A Safety-Oriented Motion Cueing Algorithm for a Serial Robotic Flight Simulator Using a Predictive Neural Network Reference Governor
Da C. Matheus, Aline , De Oliveira, Wesley R. , Villani, Emilia
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© 2024 IEEE.High fidelity flight simulators use motion platforms to reproduce the feeling of motion from a real flight. While most of the published works for both aircraft and vehicle simulators are related to parallel motion platforms, this work approaches the problem of designing the motion cueing algorithm of a flight simulator based on a serial manipulator. The simulator presents a large cockpit with an embedded visual system and dimensions that resemble those of an aircraft flight deck. Motion cueing in this context should be able to minimize false cues while ensuring safe operation, coping not only with the dynamic and kinematic constraints of the robot but also avoiding crash events that might happen between the cockpit and the serial arm. While there have been several contributions regarding classical filtering, tuning optimization, and model-based predictive control approaches to cope with constraints of parallel platforms, they result in the inefficient utilization of the robot workspace or even the inability to handle collisions of the cockpit with the robot. This work presents a novel motion cueing algorithm for a serial robotic flight simulator, which focuses on ensuring safety regarding the physical boundaries of the cockpit while enhancing motion fidelity. The approach is based on a hybrid model-based predictor that uses a neural network to infer workspace collisions in real-time (including crash events of the cockpit with the robotic arm), releasing a non-linear deterministic control action that acts as a feedforward reference governor. Simulation and experimental results evince improved workspace usage while ensuring safe operation.
Study of a Condition Monitoring Method Based on the Concept of Complex Fuzzy Sets
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© 2024 IEEE.This paper presents an application of the Complex Fuzzy Set (CFS) concept to the adaptation of an automated condition monitoring method (CMM). It is founded on the previous work from Ramot, which introduced the core aspects of the CFS and defined a related technique for measuring the similarity between two signals. The technique is adapted to the important problem of predicting the health of a system or machine. Some analyses based on synthetic signals are performed to theoretically support main aspects of the method. Other results focus on the use of synthetic signals from a robot model to monitor robot joint degradation, showing the potential of the CMM for different industrial applications that could benefit from a soft online condition monitoring approach.
3D scanning method for robotized inspection of industrial sealed parts
da Silva Santos, Kleber Roberto , de Oliveira, Wesley Rodrigues , Villani, Emília , Dttmann, Augusto
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© 2023 Elsevier B.V.This work presents a novel approach for 3D scanning inspection of industrial sealed parts based on data fusion from a 2D-laser beam sensor and the motion pattern of a robotic arm. The method provides as output the 3D geometrical shape and volume of the inspected part in order to allow for automatic compliance check according to process requirements. The solution is implemented and tested in sealed riveted fasteners, which are common in the automotive and aerospace industry. The effectiveness and robustness of the method is evaluated through the comparison of the obtained results with those from a 3D laser scanner system. The evaluation campaign was performed in a noisy environment (i.e., without illumination and temperature control), representative of an industrial shop floor. Statistical analyses show the system can perform geometry prediction with an overall error of 0.340 mm and is able to reject non-compliant sealed structures with a reliability of 96.6%, confirming that the proposed method is suitable to modern collaborative robotized aerospace and automotive assembly cells.
Photorealistic Simulation Approach for Verification of an Aerial Digital Photogrammetry System
Ferreira, Caue O. , Silva, Cesar L. , Eguti, Carlos C.A. , Oliveira, Wesley R. , Villani, Emília
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© 2023 IEEE.In this work, a photorealistic virtual simulator is developed to simulate the flight dynamics of an unmanned aerial vehicle (UAV - quadcopter drone) with a camera embedded, whose photographing process can be also emulated to gather image and flight data that can be further used to point cloud generation and 3D reconstruction as in digital photogrammetry process. The system is intended to simulate the UAV-based digital photogrammetry of large structures (industrial structures, small buildings, residences). To accomplish this goal, the mathematical modeling of the dynamics of a commercial-of-the-shelf drone was developed and a flight controller was designed and verified in Matlab. Finally, the simulator is verified, generating a descriptive point cloud of an inspection mission that is virtually simulated. The 3D reconstruction of the object of analysis was properly performed in the photorealistic environment.
A Technology Demonstration and Design Approach to Predictive and Reliability Displays to Aircraft Manufacturing Processes
Garcia, Ivan , Gerbeth, Lukas , Villani, Emilia , Oliveira, Wesley , Mello, Joao
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© 2023 IEEE.This paper discusses an approach for implementing predictive and reliability displays in aircraft manufacturing processes. The aim is to support the operator to complete all operations with quality, safety, efficient resource utilization, and on schedule. This study presents the first step of the design process to assess different ways of conveying automation information to operators. The primary goal here is to propose a first iteration that aids in future display design iterations prior to behavioral studies. Additionally, this paper presents the design and testing of a representative test demonstrator for aircraft manufacturing processes, which will be used to evaluate the effectiveness of these displays. The authors used the Human Readiness Level (HLR) framework to design the test demonstrator, considering the specific needs and requirements of the aircraft manufacturing industry. The paper presents simulation and test demonstrator results and the collected feedback from participants. The findings suggest that the test demonstrator can be a valuable tool for improving the overall efficiency of the manufacturing process. The paper contributes to the body of knowledge on the use of advanced technologies in improving manufacturing processes by providing insights into the potential benefits and limitations of predictive and reliability displays and identifying areas for further research and development.
Clamping force model application on the aircraft structural assembly
de Mello, Joao Marcos Gomes , Trabasso, Luís Gonzaga , Silva, André Vinícius Santos , de Oliveira, Wesley Rodrigues
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© 2022, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.The aeronautic manufacturing industry has been seeking to enhance competitiveness and product quality by applying the Industry 4.0’s technologies. Particularly, on the roadmap of the digital twin era, a way to achieve a reduction in manufacturing time and thus production cost is to obtain prediction models of the main elementary assembly operations and functions within aircraft manufacturing process, such as the clamping force applied by the temporary fasteners on the aircraft’s structural parts. Besides being a mandatory operation, it affects multiple tasks along the product’s assembly lifecycle. This work focuses on the role of the clamping force in the assembly process, establishing its functional model by means of an experimental approach based upon resources used on a real shop floor of a major aircraft manufacturer. To evince the main requirements that the clamping force tools can achieve, this work employs the Taguchi Design method, design of experiments, and process capability analysis. The model resulted from the aforementioned methods and tools allows the assembly behavior prediction and thus the control of the manufacturing process, ultimately yielding a better geometry quality.
Gramian-constrained optimization process for the stiffness model identification of industrial manipulators
Oliveira, W. R. , Trabasso, L. G.
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© This work deals with the elastostatic identification of industrial manipulators. By reviewing the basics of the physical elastic properties of both links and joints in the framework of the lumped stiffness modeling techniques, the Gramian nature of the stiffness matrices has been found out adequate to do so. Then, a novel optimization method has been developed, which incorporates the Gramian matrix formulation along a non-linear optimization process, acting as an intrinsic constraint for the conservativeness of the elastostatic modeling. Numerical and experimental analyses evince the effectiveness of the proposed method, as the elastostatic models obtained by means of the proposed technique predict more than 93.7% of the compliance deviations of a real industrial robot. The proposed method is simple enough to be jointly applicable to the most recent elastostatic model reduction techniques.
Comparison of visual servoing technologies for robotized aerospace structural assembly and inspection
Santos, Kleber Roberto da Silva , Villani, Emília , de Oliveira, Wesley Rodrigues , Dttman, Augusto
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© 2021This work presents a novel approach for visual servoing of robotized aerospace manufacturing cells, based on the combined use of a camera and a 2D-beam scanner and a 1-D beam distance sensor attached to the end-effector of a collaborative robot. The proposed system can detect features associated with mechanical bounds over the aircraft structure, making possible the robot automatic online trajectory/path generation when the robot performs a target task over an aeronautical part. The effectiveness of this method is demonstrated by means of experimental evaluations carried out in unstructured environments without illumination and temperature control (simulating real shop floor conditions), evincing that the proposed approach is more robust. We also show that it is able to automatically generate and follow a target path with an accuracy of 0.40 mm and repeatability of 0.59 mm, which is roughly 2 times more accurate than the classical computer vision servoing used in the experiments. The proposed solution is suitable to applications in modern collaborative robotized aerospace assembly cells.
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