Search results for "020901 industrial engineering & automation"

showing 10 items of 724 documents

Experimental and numerical assessment of subsurface plastic deformation induced by OFHC copper machining

2015

Strain distributions in the machined surface and subsurface of OFHC copper workpieces were determined experimentally and through numerical simulations. An experimental setup, comprising a double frame camera and a pulsed laser, was developed to measure the displacement fields using the digital image correlation (DIC) technique; strain distributions were then calculated. A numerical orthogonal cutting model was also developed and applied in order to predict such distributions. Comparison between simulated and measured results enabled an understanding of the fundamental mechanisms of plastic deformation of the machined surface of OFHC copper.; International audience; Strain distributions in t…

Pulsed laser[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]0209 industrial biotechnologyDigital image correlationMaterials sciencechemistry.chemical_element02 engineering and technologyIndustrial and Manufacturing EngineeringDisplacement (vector)020901 industrial engineering & automationMécanique: Génie mécanique [Sciences de l'ingénieur]Finite Element Method (FEM)0203 mechanical engineeringMachiningComposite materialMechanical EngineeringMetallurgyNumerical assessmentMachiningCopperDeformation[SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]020303 mechanical engineering & transportsMachined surfacechemistryDeformation (engineering)
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Introducing a novel mesh following technique for approximation-free robotic tool path trajectories

2017

Abstract Modern tools for designing and manufacturing of large components with complex geometries allow more flexible production with reduced cycle times. This is achieved through a combination of traditional subtractive approaches and new additive manufacturing processes. The problem of generating optimum tool-paths to perform specific actions (e.g. part manufacturing or inspection) on curved surface samples, through numerical control machinery or robotic manipulators, will be increasingly encountered. Part variability often precludes using original design CAD data directly for toolpath generation (especially for composite materials), instead surface mapping software is often used to gener…

QA750209 industrial biotechnologyEngineeringComputational MechanicsMesh following techniqueCAD02 engineering and technologyTool path generationTriangular meshescomputer.software_genreNDT020901 industrial engineering & automationSoftwarelcsh:TA1740202 electrical engineering electronic engineering information engineeringComputer Aided DesignEngineering (miscellaneous)SimulationCommercial softwareSubtractive colorbusiness.industry020207 software engineeringRoboticsRoboticslcsh:Engineering designComputer Graphics and Computer-Aided DesignHuman-Computer InteractionComputational MathematicsModeling and SimulationComputer-aided manufacturingNumerical controlArtificial intelligencebusinessAlgorithmcomputerJournal of Computational Design and Engineering
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Quadratically Tight Relations for Randomized Query Complexity

2020

In this work we investigate the problem of quadratically tightly approximating the randomized query complexity of Boolean functions R(f). The certificate complexity C(f) is such a complexity measure for the zero-error randomized query complexity R0(f): C(f) ≤R0(f) ≤C(f)2. In the first part of the paper we introduce a new complexity measure, expectational certificate complexity EC(f), which is also a quadratically tight bound on R0(f): EC(f) ≤R0(f) = O(EC(f)2). For R(f), we prove that EC2/3 ≤R(f). We then prove that EC(f) ≤C(f) ≤EC(f)2 and show that there is a quadratic separation between the two, thus EC(f) gives a tighter upper bound for R0(f). The measure is also related to the fractional…

Quadratic growth[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]0209 industrial biotechnology0102 computer and information sciences02 engineering and technologyMeasure (mathematics)Upper and lower bounds01 natural sciencesACM: F.: Theory of ComputationSquare (algebra)Computation Theory & MathematicsTheoretical Computer ScienceCombinatoricsQuadratic equation020901 industrial engineering & automationComputational Theory and Mathematics010201 computation theory & mathematicsTheory of computationInformation complexity[INFO]Computer Science [cs]0102 Applied Mathematics 0802 Computation Theory and Mathematics 0805 Distributed ComputingCommunication complexityBoolean functionComputingMilieux_MISCELLANEOUSMathematics
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Numerical Simulation of Friction Stir Welding by Natural Element Methods

2008

In this work we address the problem of numerically simulating the Friction Stir Welding process. Due to the special characteristics of this welding method (i.e., high speed of the rotating pin, very large deformations, etc.) finite element methods (FEM) encounter several difficulties. While Lagrangian simulations suffer from mesh distortion, Eulerian or Arbitrary Lagrangian Eulerian (ALE) ones still have difficulties due to the treatment of convective terms, the treatment of the advancing pin, and many others. Meshless methods somewhat alleviate these problems, allowing for an updated Lagrangian framework in the simulation. Accuracy is not affected by mesh distortion (and hence the name mes…

Regularized meshless method0209 industrial biotechnologyMaterials scienceMechanical engineering010103 numerical & computational mathematicsWelding02 engineering and technology01 natural scienceslaw.invention[SPI.MAT]Engineering Sciences [physics]/Materialssymbols.namesakeFSW Meshless020901 industrial engineering & automation0203 mechanical engineeringlawMeshfree methodsFriction stir weldingGeneral Materials Science0101 mathematicsSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMaterial point methodComputer simulationbusiness.industryEulerian pathStructural engineering[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]Finite element method020303 mechanical engineering & transportssymbolsbusiness
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Integrated Production and Predictive Maintenance Planning based on Prognostic Information

2019

International audience; This paper address the problem of scheduling production and maintenance operation in predictive maintenance context. It proposes a contribution in the decision making phase of the prognostic and health management framework. Theprognostics and decision processes are merged and an ant colony optimization approach for finding the sequence of decisions that optimizes the benefits of a production system is developed. A case study on a single machine composed of several components where machine can have several usage profiles. The results show thatour approach surpasses classical condition based maintenance policy.

Remaining UsefulLife0209 industrial biotechnology021103 operations researchHealth management systemOperations researchComputer scienceCondition-based maintenanceAnt colony optimization algorithms[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]0211 other engineering and technologiesScheduling (production processes)02 engineering and technologyPredictive maintenanceAnt Colony Optimization[SPI.AUTO]Engineering Sciences [physics]/Automatic020901 industrial engineering & automationPrognostic InformationProduction and Maintenance SchedulingPrognosticsIntegrated productionDecision processPredic-tive Maintenance
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Subsequent Keyframe Generation for Visual Servoing

2021

International audience; In this paper, we study the problem of autonomous and reliable positioning of a camera w.r.t. an object when only this latter is known but not the rest of the scene. We propose to combine the advantages and efficiency of a visual servoing scheme and the generalization ability of a generative adversarial network. The paper describes how to efficiently create a synthetic dataset in order to train a network that predicts an intermediate visual keyframe between two images. Subsequent predictions are used as visual features to autonomously converge towards the desired pose even for large displacements. We show that the proposed method can be used without any prior knowled…

Rest (physics)Service robot0209 industrial biotechnologyComputer sciencebusiness.industryGeneralization[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technologyObject (computer science)Visual servoingAutomationVisualization[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020901 industrial engineering & automationRobustness (computer science)[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionArtificial intelligencebusiness
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Process parameters influence in additive manufacturing

2016

Additive manufacturing is a rapidly expanding technology. It allows the creation of very complex 3D objects by adding layers of material, in spite of the traditional production systems based on the removal of material. The development of additive technology has produced initially a generation of additive manufacturing techniques restricted to industrial applications, but their extraordinary degree of innovation has allowed the spreading of household systems. Nowadays, the most common domestic systems produce 3D parts through a fused deposition modeling process. Such systems have low productivity and make, usually, objects with no high accuracy and with unreliable mechanical properties. Thes…

Reverse engineering0209 industrial biotechnologyComputer scienceAdditive manufacturingmedia_common.quotation_subjectPoint cloud3D printingCAD02 engineering and technologycomputer.software_genrelaw.inventionSet (abstract data type)020901 industrial engineering & automation0203 mechanical engineeringlawQuality (business)Process engineeringReverse engineeringmedia_commonFused deposition modelingbusiness.industryProcess parameterProcess (computing)3D printing020303 mechanical engineering & transportsbusinesscomputer
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A new design approach for customised medical devices realized by additive manufacturing

2020

AbstractThe aim of this work is the design of a new customised elbow orthosis completely realized by Additive Manufacturing and the development of generative algorithms for parametric modelling and creation of 3D patterns to be adapted to the CAD model. This work describes a method to perfect the design of a custom elbow orthosis. A reverse engineering approach has been used to digitalize the patient’s arm and the subsequent CAD modelling of the structure of the custom elbow orthosis has been performed. In particular, two algorithms have been implemented for the creation of 3D patterns and Voronoi tessellations. Subsequently, FEM analyses have been carried out to validate the design. Finall…

Reverse engineering0209 industrial biotechnologyEngineering drawingbusiness.industryComputer scienceCAD02 engineering and technology021001 nanoscience & nanotechnologycomputer.software_genreIndustrial and Manufacturing EngineeringTorsion springFinite element method020901 industrial engineering & automationSoftwareIndustrial designModeling and Simulation0210 nano-technologyVoronoi diagramEngineering design processbusinessSettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialecomputerAdditive manufacturing Computer aided design Generative design Reverse engineering Elbow orthosis
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Selecting the best risk measure in multiobjective cash management

2018

Risk analysis0209 industrial biotechnology021103 operations researchActuarial scienceComputer scienceStrategy and ManagementRisk measure0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchComputer Science Applications020901 industrial engineering & automationManagement of Technology and InnovationGoal programmingBusiness and International ManagementCash managementInternational Transactions in Operational Research
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Analysis of the Relationship between Energy Absorbing Components and Vehicle Crash Response

2016

Risk0209 industrial biotechnologyComputer science02 engineering and technologyPollutionAutomotive engineeringIndustrial and Manufacturing EngineeringAutomotive Engineering; Safety Risk Reliability and Quality; Pollution; Industrial and Manufacturing Engineering020901 industrial engineering & automationEnergy absorbingReliability and QualityAutomotive Engineering0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSafetyMotor vehicle crash
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