Search results for "Mach"

showing 10 items of 3360 documents

Identification and control design for path tracking of hydraulic loader crane

2017

The controlled operation of hydraulic machines with multiple degrees of freedom is challenging due to complex nonlinear dynamics of cylinder actuators, in addition to multibody dynamics like in the case of hydraulic manipulators. This paper addresses the system identification and control design for path tracking of a standard hydraulic loader crane. The kinematics of the crane is solved for operation in the vertical plane and generation of trajectories for the tool tip to be followed. A frequency response measurements and analysis have been done for dynamics modeling of both hydraulic cylinders actuating main boom and jib. The static dead-zone type input non-linearity has been identified an…

0209 industrial biotechnologyEngineeringbusiness.industrySystem identificationControl engineering02 engineering and technologyKinematicsMultibody systemlaw.inventionLoaderHydraulic cylinder020901 industrial engineering & automation020401 chemical engineeringlawControl theoryCartesian coordinate system0204 chemical engineeringHydraulic machineryActuatorbusiness2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)
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Advanced Machining Processes

2017

This chapter provides comprehensive knowledge regarding both well-established achievements in manufacturing and new trends in improving machining processes, taking into account physical, design and technological aspects. The background of machining advancements is outlined, including all components of the machining system and typical machining operations such as turning, milling and drilling and different construction materials. In particular, this short survey covers such machining techniques as high-speed machining/cutting (HSM/HSC), hard part machining, dry and near-dry machining (MQL), high-performance machining (HPM), multitasking/complete machining, and assisted and hybrid machining. …

0209 industrial biotechnologyEngineeringbusiness.product_categorybusiness.industryMechanical engineering02 engineering and technologySurface finish021001 nanoscience & nanotechnologyManufacturing engineeringMachine toolMachining system020901 industrial engineering & automationMachiningHuman multitaskingTool wear0210 nano-technologybusinessSurface integrity
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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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Online fitted policy iteration based on extreme learning machines

2016

Reinforcement learning (RL) is a learning paradigm that can be useful in a wide variety of real-world applications. However, its applicability to complex problems remains problematic due to different causes. Particularly important among these are the high quantity of data required by the agent to learn useful policies and the poor scalability to high-dimensional problems due to the use of local approximators. This paper presents a novel RL algorithm, called online fitted policy iteration (OFPI), that steps forward in both directions. OFPI is based on a semi-batch scheme that increases the convergence speed by reusing data and enables the use of global approximators by reformulating the valu…

0209 industrial biotechnologyInformation Systems and ManagementRadial basis function networkArtificial neural networkComputer sciencebusiness.industryStability (learning theory)02 engineering and technologyMachine learningcomputer.software_genreManagement Information Systems020901 industrial engineering & automationArtificial IntelligenceBellman equation0202 electrical engineering electronic engineering information engineeringBenchmark (computing)Reinforcement learning020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerSoftwareExtreme learning machineKnowledge-Based Systems
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A comparative assessment of energy demand and life cycle costs for additive- and subtractive-based manufacturing approaches

2020

Abstract The applicability domain of Additive Manufacturing (AM) processes, apart from technological and quality results, relies on environmental and cost performance. These aspects still need to be better understood. To this aim, comparative analyses with conventional manufacturing routes are needed. In this paper, empirical cost and energy requirement models are suggested to assess subtractive- (machining) and additive- (Electron Beam Melting) based manufacturing approaches for the production of Ti-6Al-4V components. A life-cycle perspective is adopted, and all the steps from the input material production to the post-AM processing operations and the use phase are included. The analyses ha…

0209 industrial biotechnologyMaterials scienceAdditive manufacturingCostStrategy and Managementmedia_common.quotation_subjectSustainable manufacturing02 engineering and technologyManagement Science and Operations ResearchRaw materialIndustrial and Manufacturing EngineeringAdditive manufacturing; Cost; Decision support chart; Energy demand; Machining; Sustainable manufacturing020901 industrial engineering & automationMachiningDecision support chartComponent (UML)Production (economics)Quality (business)Process engineeringSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazionemedia_commonEnergy demandSubtractive colorEnergy demandbusiness.industry021001 nanoscience & nanotechnologyMachining0210 nano-technologybusinessApplicability domain
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The application of the random balance method in laser machining of metals

2008

International audience; Features peculiar to laser technology offer some advantages over more traditional processes, but, like all processes, it has its limitations. This article studies the limitations of laser machining of metals, and quantifies, through an experimental design method, the influence of operating parameters on productivity and on the quality of the machined surface. Three study materials were used: an aluminium alloy, stainless steel and a titanium alloy. An initial reading of the results indicates that productivity depends mainly on the frequency of the laser pulse and that the aluminium alloy behaves differently from the other two. The quality of the machined surface, jud…

0209 industrial biotechnologyMaterials scienceAlloy[ PHYS.COND.CM-MS ] Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]Mechanical engineering02 engineering and technologySurface finishengineering.materialIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationMachininglawAluminium alloySurface roughnessMetallurgyMetals and Alloys[CHIM.MATE]Chemical Sciences/Material chemistry021001 nanoscience & nanotechnologyLaserMachiningExperimental designComputer Science ApplicationsPulse (physics)Random balance methodMetalsModeling and Simulationvisual_artNd:YAG laser[ CHIM.MATE ] Chemical Sciences/Material chemistryCeramics and Compositesvisual_art.visual_art_mediumengineering[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]Nd:YAG laser0210 nano-technology
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Comparison of electropolishing behaviours of TSC, ALM and cast 316L stainless steel in H 3 PO 4 /H 2 SO 4

2017

Abstract In recent decades, new manufacturing processes have been developed such as Thermal Spray Coating (TSC) and Additive Layer Manufacturing (ALM), which reduce or avoid machining of parts with complex geometries. This study aims to develop an Electropolishing (EP) process for TSC and ALM 316L Stainless Steel (SS). EP is an anodic dissolution process currently used in industry to reduce surface roughness and obtain a bright and smooth finish. The EP mechanism was studied, in a mixture of H3PO4 and H2SO4, for TSC, ALM and “cast” SS in order to determine the best conditions (time, temperature, potential). Special attention was paid to surface characterization by combining several techniqu…

0209 industrial biotechnologyMaterials scienceAtomic force microscopyMetallurgyGeneral Physics and Astronomy02 engineering and technologySurfaces and InterfacesGeneral ChemistrySurface finish021001 nanoscience & nanotechnologyCondensed Matter PhysicsSurfaces Coatings and FilmsCharacterization (materials science)Electropolishing020901 industrial engineering & automationThermal spray coatingMachiningSurface roughness[CHIM]Chemical SciencesAnodic dissolution0210 nano-technologyComputingMilieux_MISCELLANEOUS
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A numerical model for Wire integrity prediction in Friction Stir Extrusion of magnesium alloys

2017

Abstract A numerical model for the prediction of the wire quality produced by the novel direct machining chip recycling technique known as Friction Stir Extrusion (FSE) is presented. Wire microstructure and wire integrity have been predicted by embedding in the code the equations enabling the calculation of the Zener-Hollomon parameter as well as the W parameter of the Pivnik-Plata solid bonding criterion. The proposed model, developed for the AZ31 magnesium alloy using the commercial simulation package DEFORM, is 3D Lagrangian, thermo-mechanically coupled with visco-plastic material behavior. The model was first validated against experimental temperature measurements and then used to predi…

0209 industrial biotechnologyMaterials scienceCeramics and Composite02 engineering and technologyTemperature measurementIndustrial and Manufacturing EngineeringModeling and simulation020901 industrial engineering & automationMachiningRecyclingMagnesium alloyComposite materialSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneFEMMetallurgyMetals and AlloysComputer Science Applications1707 Computer Vision and Pattern RecognitionFriction Stir Extrusion021001 nanoscience & nanotechnologyMicrostructureChipFinite element methodComputer Science ApplicationsModeling and SimulationCeramics and CompositesExtrusion25060210 nano-technologyMagnesium alloy
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On the optimization of the cutting conditions for an improved corrosion resistance of OFHC copper

2018

International audience; Machining has a particular impact on the surface integrity and on corrosion resistance of components. In fact, material removal induces geometrical, mechanical and micro-structural modifications in the machined surface and sub-surface that alter the electrochemical behavior of the material, and so the aging process. In this study, oxygen free high conductivity copper (OFHC) has machined under orthogonal cutting conditions using uncoated cemented carbide tools. Then, the corrosion resistance in 0.1 M NaCl salt fog atmosphere of the machined samples is analyzed. Finally, the optimal cutting conditions, including the tool geometry, for an improved corrosion resistance a…

0209 industrial biotechnologyMaterials scienceMatériaux [Sciences de l'ingénieur]chemistry.chemical_element02 engineering and technology[SPI.MAT] Engineering Sciences [physics]/MaterialsElectrochemistryOxygenCorrosion[SPI.MAT]Engineering Sciences [physics]/Materials020901 industrial engineering & automationMécanique: Génie mécanique [Sciences de l'ingénieur]Machining[SPI.MECA.GEME] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]General Environmental Sciencecorrosion resistanceMetallurgyOFHC copper021001 nanoscience & nanotechnologysurface integrityCopper[SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]Machined surfacechemistryCemented carbideGeneral Earth and Planetary Sciencesorthogonal cutting0210 nano-technologySurface integritymachining
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Improving surface integrity of additively manufactured GP1 stainless steel by roller burnishing

2020

Abstract Additive manufacturing can rapidly fabricate the desired components by selectively melting and solidifying feedstock, rather than conventional subtractive machining. However, the difference between the two routes in terms of surface integrity of the final component is relevant. This paper presents a strategy to control the surface characteristics of additively manufactured stainless steel by roller burnishing. In particular, process parameters have been carefully selected to improve the surface integrity of the worked material. The quality of the surface has been analyzed in terms of roughness, hardness, microstructure and residual stresses. The overall product endurance under high…

0209 industrial biotechnologyMaterials scienceMechanical EngineeringMetallurgyFatigue testing02 engineering and technologySurface finishRoller burnishingRaw materialMicrostructureSurface integrity Additive manufacturing Roller burnishingIndustrial and Manufacturing Engineering020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringMachiningResidual stressSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneSurface integrityCIRP Annals
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