Search results for "MATERIA"

showing 10 items of 33501 documents

Industry 4.0 Technologies for Manufacturing Sustainability: A Systematic Review and Future Research Directions

2021

Recent developments in manufacturing processes and automation have led to the new industrial revolution termed “Industry 4.0”. Industry 4.0 can be considered as a broad domain which includes: data management, manufacturing competitiveness, production processes and efficiency. The term Industry 4.0 includes a variety of key enabling technologies i.e., cyber physical systems, Internet of Things, artificial intelligence, big data analytics and digital twins which can be considered as the major contributors to automated and digital manufacturing environments. Sustainability can be considered as the core of business strategy which is highlighted in the United Nations (UN) Sustainability 2030 age…

0209 industrial biotechnologyEngineeringTechnologyIndustry 4.0QH301-705.5QC1-999Big dataInternet of Things02 engineering and technology020901 industrial engineering & automationSustainable businessSettore ING-IND/17 - Impianti Industriali Meccanici0502 economics and businessGeneral Materials Sciencesmart manufacturingCloud manufacturingBiology (General)InstrumentationQD1-999cloud manufacturingFluid Flow and Transfer Processesbusiness.industryProcess Chemistry and TechnologyTPhysics05 social sciencesGeneral EngineeringCyber-physical systemartificial intelligenceIndustry 4.0sustainabilityEngineering (General). Civil engineering (General)sustainable manufacturingComputer Science ApplicationsEngineering managementmanufacturingChemistrySustainabilityStrategic managementDigital manufacturingInternet of ThingTA1-2040business050203 business & managementApplied Sciences
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On the Heuristic Procedure to Determine Processing Parameters in Additive Manufacturing Based on Materials Extrusion

2020

We present a heuristic procedure for determining key processing parameters (PPs) in materials-extrusion-based additive manufacturing processes. The concept relies on a design-of-experiment approach and consists of eleven &ldquo

0209 industrial biotechnologyFDMPolymers and PlasticsComputer sciencemedia_common.quotation_subjectdesign of experiment3D printingmaterials extrusion02 engineering and technologyRaw materialArticlelcsh:QD241-441020901 industrial engineering & automationlcsh:Organic chemistryCalibration:NATURAL SCIENCES:Physics [Research Subject Categories]Quality (business)Layer (object-oriented design)Process engineeringmedia_commonbusiness.industryDesign of experimentsprocess parametersGeneral Chemistry3D printing021001 nanoscience & nanotechnologyKey (cryptography)Extrusion0210 nano-technologybusinessoptimizationPolymers
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Process mechanics in Friction Stir Extrusion of magnesium alloys chips through experiments and numerical simulation

2017

Abstract Friction Stir Extrusion (FSE) is a novel process designed to directly recycle machining chips. An experimental campaign was carried out on AZ31 milling chips using variations in extrusion ratio, force and tool rotation rate. The process mechanics were studied and correlated to the material flow, which was elucidated through use of a copper marker. A 3D, Lagrangian, thermo-mechanically coupled dedicated numerical model was set up and validated through temperature measurements. The combination of experimental and numerical results permitted to reconstruct the complex 3D material flow induced by tool rotation and plunge into the extrusion billet chamber.

0209 industrial biotechnologyFEMMaterials scienceComputer simulationStrategy and ManagementProcess (computing)Mechanical engineering02 engineering and technologyMechanicsFriction Stir ExtrusionManagement Science and Operations Research021001 nanoscience & nanotechnologyRotationTemperature measurementFinite element methodIndustrial and Manufacturing EngineeringMaterial flowStrategy and Management1409 Tourism Leisure and Hospitality Management020901 industrial engineering & automationMachiningExtrusionRecycling0210 nano-technologySettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMagnesium alloy
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Surface and mechanical characterization of stationary shoulder friction stir welded lap joints: experimental and numerical approach

2020

Friction Stir Welding (FSW) is one of the most used solid-state welding processes in the aeronautical, aerospace, ground transportation and naval fields. Stationary Shoulder Friction Stir Welding (SSFSW) is a recently introduced variant of the process allowing lower heat input into the joints, with beneficial effects in terms of joint mechanical properties, microstructure and top surface finish. In the paper, lap joints produced by SSFSW and made out of AA6082-T6 aluminum alloy sheets have been analyzed with the aim to investigate the effect of the stationary shoulder on the lap joints surface, metallurgical, and mechanical properties. The lap joints produced by SSFSW have been compared to …

0209 industrial biotechnologyFEMMaterials scienceStationary ShoulderFriction Stir Welding02 engineering and technologyWeldingSurface finishStrain rateMicrostructureIndentation hardnesslaw.inventionFriction Stir Welding Stationary Shoulder FEM Roughness Microstructure020303 mechanical engineering & transports020901 industrial engineering & automationLap joint0203 mechanical engineeringlawFriction stir weldingGeneral Materials ScienceComposite materialRoughneJoint (geology)Settore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMicrostructure
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Influence of friction stir processing conditions on the manufacturing of Al-Mg-Zn-Cu alloy/boron carbide surface composite

2018

Abstract Surface metal matrix composites were synthesized via friction stir processing (FSP) on the surface of aluminium alloy 7075 (AA 7075) sheets by incorporating B4C particles (B4CP). The influence of tool rotational speeds, powder particle sizes, and change in tool travel direction between FSP passes on particle distribution and resulting properties were studied in detail. Change in tool travel direction, decreased tool rotation speed and fine B4C particles enhanced B4CP distribution and wear properties thereof. Wear resistance of composites were doubled on account of the B4CP distribution and resultant several strengthening mechanisms.

0209 industrial biotechnologyFriction stir processingMaterials scienceAlloyComposite number02 engineering and technologyBoron carbideengineering.materialIndustrial and Manufacturing EngineeringFriction stir processingchemistry.chemical_compound020901 industrial engineering & automationWearAluminium alloyAluminiumBoron carbideComposite materialSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneStrengthening mechanisms of materialsMetals and AlloysRotational speed021001 nanoscience & nanotechnologyComputer Science ApplicationsMetal matrix compositechemistryModeling and Simulationvisual_artCeramics and Compositesvisual_art.visual_art_mediumengineeringParticleMaterials processing0210 nano-technology
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Enhancement of mechanical properties of FSWed AA7075 lap joints through in-situ fabrication of MMC

2017

Abstract Friction Stir Processing (FSP) has been demonstrated feasible to create local Metal Matrix Composites (MMCs) in light alloys matrix. In this research, local MMCs were produced contextually to the weld using Friction Stir Welding (FSW). SiC particles were added to AA7075 lap joints by creating a proper groove on the top surface of the bottom sheet. Different welds were produced with increasing number of tool passes. The effect of the multiple passes was investigated through shear tests, macro and micro observations, average grain size and microhardness measurements. The welded joints were compared to a reference weld produced with no reinforcements. It was found that poor mixing bet…

0209 industrial biotechnologyFriction stir processingMaterials scienceStrategy and ManagementFriction Stir WeldingLap joint02 engineering and technologyWeldingManagement Science and Operations ResearchIndentation hardnessIndustrial and Manufacturing EngineeringAA7075law.invention020901 industrial engineering & automationlawFriction stir weldingComposite materialSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneGroove (music)Metallurgy021001 nanoscience & nanotechnologyGrain sizeStrategy and Management1409 Tourism Leisure and Hospitality ManagementShear (sheet metal)Lap jointMetal Matrix Composite0210 nano-technologyJournal of Manufacturing Processes
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Image Enhancement Algorithm for Optical Microstructural Characterization of Shape Memory TiNi Friction Stir Processed

2017

Abstract A key topic regarding TiNi alloys concerns the possibility to attain junctions that preserve the shape memory properties of material. Experimental tests, previously performed on TiNi sheet friction stir processed, have highlighted the need to develop an appropriate image analysis method to quantify the various phases percentages present in the characteristics zones of Friction Stir Welding process. A proper Image Processing procedure has been performed in order to quantify the amount of the martensitic phase and to detect its morphology modification along to the processed region. Particularly each micrographic image, firstly, has been denoised using the 2D Wavelet transform techniq…

0209 industrial biotechnologyFriction stir processingMaterials scienceWavelet transformImage processing02 engineering and technologyGeneral MedicineShape-memory alloyImage enhancement shape memory alloy friction stir processingHaar wavelet020901 industrial engineering & automationWavelet0202 electrical engineering electronic engineering information engineeringFriction stir welding020201 artificial intelligence & image processingAdaptive histogram equalizationAlgorithmProcedia Engineering
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Optimization of Vehicle-to-Vehicle Frontal Crash Model Based on Measured Data Using Genetic Algorithm

2017

In this paper, a mathematical model for vehicle-to-vehicle frontal crash is developed. The experimental data are taken from the National Highway Traffic Safety Administration. To model the crash scenario, the two vehicles are represented by two masses moving in opposite directions. The front structures of the vehicles are modeled by Kelvin elements, consisting of springs and dampers in parallel, and estimated as piecewise linear functions of displacements and velocities, respectively. To estimate and optimize the model parameters, a genetic algorithm approach is proposed. Finally, it is observed that the developed model can accurately reproduce the real kinematic results from the crash test…

0209 industrial biotechnologyGeneral Computer ScienceComputer scienceCrash02 engineering and technologyVehicle-to-vehicleDamperComputer Science::RoboticsEngineering (all)020901 industrial engineering & automation0203 mechanical engineeringControl theoryparameters estimationGenetic algorithmgenetic algorithmGeneral Materials ScienceSimulationvehicle-to-vehicle crashComputer Science (all)ModelingGeneral EngineeringCrash test020303 mechanical engineering & transportsMaterials Science (all)lcsh:Electrical engineering. Electronics. Nuclear engineeringgenetic algorithm; Modeling; parameters estimation; vehicle-to-vehicle crash; Computer Science (all); Materials Science (all); Engineering (all)lcsh:TK1-9971IEEE Access
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Flow Control of Fluid in Pipelines Using PID Controller

2019

In this paper, a PID controller is utilized in order to control the flow rate of the heavy oil in pipelines by controlling the vibration in a motor pump. A torsional actuator is placed on the motor pump in order to control the vibration on a motor and consequently controlling the flow rates in pipelines. The necessary conditions for the asymptotic stability of the proposed controller are validated by implementing the Lyapunov stability theorem. The theoretical concepts are validated utilizing numerical simulations and analysis, which proves the effectiveness of the PID controller in the control of flow rates in pipelines.

0209 industrial biotechnologyGeneral Computer ScienceComputer sciencePID controllercontrol engineeringfeedback02 engineering and technology01 natural sciencesFeedback010305 fluids & plasmas020901 industrial engineering & automationExponential stabilityControl theoryFluid flow controlPID control0103 physical sciencesGeneral Materials Science/dk/atira/pure/subjectarea/asjc/1700VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Lyapunov stabilityControl engineeringComputingGeneral EngineeringTorsion (mechanics)Volumetric flow ratePipeline transportVibrationFlow control (fluid)lcsh:Electrical engineering. Electronics. Nuclear engineeringActuator/dk/atira/pure/core/subjects/computinglcsh:TK1-9971Computer Science(all)Numerical stabilityIEEE Access
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Health Indicator for Low-Speed Axial Bearings Using Variational Autoencoders

2020

This paper proposes a method for calculating a health indicator (HI) for low-speed axial rolling element bearing (REB) health assessment by utilizing the latent representation obtained by variational inference using Variational Autoencoders (VAEs), trained on each speed reference in the dataset. Further, versatility is added by conditioning on the speed, extending the VAE to a conditional VAE (CVAE), thereby incorporating all speeds in a single model. Within the framework, the coefficients of autoregressive (AR) models are used as features. The dimensionality reduction inherent in the proposed method lowers the need of expert knowledge to design good condition indicators. Moreover, the sugg…

0209 industrial biotechnologyGeneral Computer Sciencegenerative modelsComputer sciencecondition monitoring02 engineering and technologyLatent variableunsupervised learningFault detection and isolationBearing fault detection020901 industrial engineering & automationVDP::Teknologi: 500::Maskinfag: 5700202 electrical engineering electronic engineering information engineeringGeneral Materials Sciencevariational autoencoderconditional variational autoencoderbusiness.industryDimensionality reduction020208 electrical & electronic engineeringGeneral EngineeringPattern recognitionData pointAutoregressive modelRolling-element bearingFalse alarmArtificial intelligencelcsh:Electrical engineering. Electronics. Nuclear engineeringbusinesslcsh:TK1-9971IEEE Access
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