Search results for "modelling."

showing 10 items of 1269 documents

Generative Design for Additively Manufactured Textiles in Orthopaedic Applications

2021

AbstractThe aim of this work is to implement a new process for the design and production of orthopaedic devices to realize entirely by Additive Manufacturing (AM). In particular, a generative algorithm for parametric modelling of flexible structures to use in orthopaedic devices has been developed. The developed modelling algorithm has been applied to a case study based on the design and production of a customized elbow orthosis made by Selective Laser Sintering. The results obtained have demonstrated that the developed algorithm overcomes many drawbacks typical of traditional CAD modelling approaches. FEM simulations have been also performed to validate the design of the orthosis. The new …

0209 industrial biotechnologyEngineering drawingElbow orthosiComputer scienceProcess (engineering)Additive ManufacturingGenerative algorithmsCADAdditively manufactured textile02 engineering and technology01 natural sciences0104 chemical scienceslaw.invention010404 medicinal & biomolecular chemistrySelective laser sintering020901 industrial engineering & automationlawParametric modellingCAD modellingElbow orthosisGenerative DesignSettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialeParametric cadFem simulations
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Towards criteria for sustainable process selection: On the modelling of pure subtractive versus additive/subtractive integrated manufacturing approac…

2017

Additive Manufacturing (AM) processes can be counted among the disruptive technologies that are capable of transforming conventional manufacturing routes. The ability to create complex geometries, the reduction in material scraps during manufacturing, and the light-weighting due to the think-additive redesign of the components represent the main points of strength of AM. However, for some applications (such as the production of metal components for the automotive and aerospace industries), the surface finishing and dimensional/geometrical part tolerancing that can be achieved via AM processes might not be adequate to satisfy the imposed product specifications, and finish machining operation…

0209 industrial biotechnologyEngineeringAdditive manufacturing; CNC machining; Metal component; Modelling; Sustainable manufacturing; Renewable Energy Sustainability and the Environment; 2300; Strategy and Management; 1409; Tourism Leisure and Hospitality Management; Industrial and Manufacturing EngineeringAdditive manufacturingProcess (engineering)Strategy and ManagementSustainable manufacturingAutomotive industryContext (language use)02 engineering and technology010501 environmental sciencesMetal component01 natural sciencesModellingIndustrial and Manufacturing EngineeringTourismCNC machining020901 industrial engineering & automationMachiningComputer-integrated manufacturingAdvanced manufacturingRenewable Energy1409Settore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneSustainable manufacturing Modelling Additive manufacturing CNC machining Metal component0105 earth and related environmental sciencesGeneral Environmental ScienceProduct design specificationSustainability and the Environment2300Renewable Energy Sustainability and the Environmentbusiness.industryLeisure and Hospitality ManagementBuilding and ConstructionManufacturing engineeringNumerical controlbusinessJournal of Cleaner Production
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Neural modelling of friction material cold performance

2008

The complex and highly non-linear phenomena involved during braking are primarily caused by friction materials’ characteristics. The final friction materials' characteristics are determined by their compositions, manufacturing, and the brake's operating conditions. Analytical models of friction materials' behaviour are difficult, even impossible, to obtain for the case of different brakes' operating conditions. That is why, in this paper, all relevant influences on the friction materials' cold performance have been integrated by means of artificial neural networks. The influences of 26 input parameters, defined by the friction materials' composition (18 ingredients), manufacturing (five pa…

0209 industrial biotechnologyEngineeringArtificial neural networkBar (music)business.industryMechanical EngineeringAerospace Engineering02 engineering and technology020303 mechanical engineering & transports020901 industrial engineering & automationneural modelling friction material cold performance0203 mechanical engineeringControl theoryBrakeRange (statistics)businessSimulationProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
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Opportunities for the Use of Business Data Analysis Technologies

2016

Abstract The paper analyses the business data analysis technologies, provides their classification and considers relevant terminology. The feasibility of business data analysis technologies handling big data sources is overviewed. The paper shows the results of examination of the online big data source analytics technologies, data mining and predictive modelling technologies and their trends.

0209 industrial biotechnologyEngineeringHF5001-6182Big dataonline analytical processing02 engineering and technologyAnalytics platformsbusiness intelligenceTerminologyBusiness data020901 industrial engineering & automationBusiness analytics0502 economics and businessanalytics platformsBusinessHB71-74business.industryManagement scienceOnline analytical processing05 social sciencesbusiness analyticsdata miningpredictive modelling.Data scienceEconomics as a scienceAnalyticsBusiness intelligencebusinesspredictive modelling050203 business & managementPredictive modelling
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Assessment of material models through simple machining tests

2008

The accuracy of the results obtained from FEM simulation of machining operations depends on the accuracy of input data. Among these, the flow stress data of the workpiece are extremely important together with the friction along the tool-chip interface. In this study, an identification procedure for the determination of material parameters that are used for the FEM simulation of machining processes is proposed. The procedure is based on the coupling of a numerical identification procedure and Arbitrarian Lagrangian Eulerian (ALE) Finite Element simulations of turning operations. An experimental campaign was developed in order to calibrate the model and to validate the procedure. The basic id…

0209 industrial biotechnologyEngineeringInterface (computing)Mechanical engineeringComputational intelligence02 engineering and technologymaterial modelsFlow stressFinite Element Simulation[SPI]Engineering Sciences [physics]020901 industrial engineering & automation0203 mechanical engineeringMachiningmodelling of machiningGeneral Materials ScienceSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMaterial modellingInverse ApproachCouplingbusiness.industryProcess (computing)MachiningFinite element methodIdentification (information)020303 mechanical engineering & transportsbusinessInternational Journal of Material Forming
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Modelling and Simulation of Machining Processes and Operations

2008

This chapter provides the state-of-the-art knowledge engineering and modelling techniques applied in manufacturing/machining and overviews future trends observed at a global scale. Modelling methods for machining processes and operations are classified. The chapter also highlights the multiple tasks of modelling and simulation in modern machining/manufacturing systems. The most popular techniques of numerical simulation including finite difference method and finite element method (FEM) related to mechanical and thermal problems arising in machining processes are described. Practical examples of FE models of various metal cutting operations and their importance in modern manufacturing are pr…

0209 industrial biotechnologyEngineeringMaterials scienceComputer simulationbusiness.industryScale (chemistry)Knowledge engineeringFinite difference methodMechanical engineering02 engineering and technologyFinite element method020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringMachiningModelling methodsFe modelbusiness
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Industry 4.0: smart test bench for shipbuilding industry

2020

AbstractIndustry 4.0 promises to increase the efficiency of production plants and the quality of the final product. Consequently, companies that implement advanced solutions in production systems will have a competitive advantage in the future. The principles of Industry 4.0 can also be applied to shipyards to transform them into “smart shipyards” (Shipyard 4.0). The aim of this research is to implement an interactive approach by Internet of Things on a closed power-loop test bench equipped with sophisticated sensors that is specifically designed to test high-power thrusters before they are installed on high-speed crafts, which are used in passenger transport. The preliminary results of the…

0209 industrial biotechnologyEngineeringTest benchIndustry 4.0media_common.quotation_subject02 engineering and technologyShipyardPropulsionCompetitive advantageExperimental testsIndustrial and Manufacturing Engineering020901 industrial engineering & automation0502 economics and businessSettore ING-IND/17 - Impianti Industriali MeccaniciQuality (business)Settore ING-IND/15 - Disegno E Metodi Dell'Ingegneria Industrialemedia_commonbusiness.industry05 social sciencesIndustry 4.0Manufacturing engineeringInternet of Things (IoT)ShipbuildingModeling and SimulationTest benchCAD modellingThe Internetbusiness050203 business & management
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Design of a modular Autonomous Underwater Vehicle for archaeological investigations

2015

MARTA (MARine Tool for Archaeology) is a modular AUV (Autonomous Underwater Vehicle) designed and developed by the University of Florence in the framework of the ARROWS (ARchaeological RObot systems for the World's Seas) FP7 European project. The ARROWS project challenge is to provide the underwater archaeologists with technological tools for cost affordable campaigns: i.e. ARROWS adapts and develops low cost AUV technologies to significantly reduce the cost of archaeological operations, covering the full extent of an archaeological campaign (underwater mapping, diagnosis and cleaning tasks). The tools and methodologies developed within ARROWS comply with the "Annex" of the 2001 UNESCO Conv…

0209 industrial biotechnologyEngineeringUnderwater acoustic positioning systemContext (archaeology)02 engineering and technologyUnderwater roboticsImage-based modelling and 3D reconstruction020901 industrial engineering & automationAutonomous Underwater Vehicle0202 electrical engineering electronic engineering information engineeringMarine Robotics14. Life underwaterUnderwaterAutonomous Underwater Vehicles; Marine Robotics; Underwater Robotics; Underwater Cultural HeritageSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniArchaeological Object RecognitionMarine RoboticSettore INF/01 - Informaticabusiness.industryiRobot Seaglider020208 electrical & electronic engineeringAutonomous Underwater VehiclesModular designArchaeologyIntervention AUVMulti-sensor data analysisRobotUnderwater Cultural HeritagebusinessUnderwater Robotics
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Using infrared thermography in order to compare laser and hybrid (laser plus MIG) welding processes

2009

International audience; In order to deepen the understanding of the differences between laser and laser-arc hybrid welding, comparisons were undertaken using thermography. The experiments were carried out for a T assembly of aluminium alloy plates. Modelling, based on the finite element method approach, was realized using IR temperature measurements and seam geometry. For a value of the power supply, depicted as a surface source in the hybrid case, agreement was found between simulated and measured temperatures. The arc power supply efficiency value is similar to the usually used value.

0209 industrial biotechnologyMaterials science02 engineering and technologyWelding7. Clean energyTemperature measurementlaw.inventionGas metal arc welding020901 industrial engineering & automationOptics0203 mechanical engineeringlawAluminium alloyElectrical and Electronic Engineeringbusiness.industryLaser beam welding[CHIM.MATE]Chemical Sciences/Material chemistryLaserAtomic and Molecular Physics and OpticsFinite element methodElectronic Optical and Magnetic Materials020303 mechanical engineering & transportsvisual_artThermal modelling[ CHIM.MATE ] Chemical Sciences/Material chemistryThermographyvisual_art.visual_art_mediumInfrared thermographyLaser weldingbusiness
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A macroscale FEM-based approach for selective laser sintering of thermoplastics

2017

A numerical approach to model the selective laser sintering (SLS) of polypropylene is proposed. A 3D thermal model was developed and thus enables the prediction of the temperature fields and the extension of the sintered area in the powder bed taking into account the phase change during multiple laser passes. Powder–liquid, liquid–solid and solid–liquid phase changes were modelled during the SLS and the subsequent cooling processes. Then, a 3D thermomechanically coupled model was set up based on the temperature results of the thermal model in order to predict the distortion of the produced parts after cooling down. Different pre-heating temperatures were considered, highlighting their…

0209 industrial biotechnologyMaterials scienceAdditive manufacturing02 engineering and technologyIndustrial and Manufacturing Engineeringlaw.inventionchemistry.chemical_compoundPhase change020901 industrial engineering & automationlawDistortionPhase (matter)Phase changeComposite materialPolypropyleneMechanical EngineeringComputer Science Applications1707 Computer Vision and Pattern Recognition021001 nanoscience & nanotechnologyLaserFinite element methodFinite element modellingComputer Science ApplicationsSelective laser sinteringSelective laser sinteringchemistryControl and Systems EngineeringPolypropylene0210 nano-technologySoftwareCooling downThe International Journal of Advanced Manufacturing Technology
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