Search results for "Manufacturing engineering"

showing 10 items of 1977 documents

Regenerative scheduling problem in engineer to order manufacturing: an economic assessment

2021

The dynamic production scheduling is a very complex process that may arise from the occurrence of unpredictable situations such as the arrival of new orders besides the ones already accepted. As a consequence, companies may often encounter several difficulties to make decisions about the new orders acceptance and sequencing along with the production of the existing ones. With this recognition, a mathematical programming model for the regenerative scheduling problem with deterministic processing times is formulated in the present paper to evaluate the economic advantage of accepting a new order in an engineer to order (ETO) manufacturing organization. The real case of an Italian ETO company …

0209 industrial biotechnologyJob shop schedulingProcess (engineering)Build to orderComputer scienceEconomic assessment; Engineer to order; Mathematical programming; SchedulingManufacturing organizationScheduling (production processes)02 engineering and technologyIndustrial engineeringIndustrial and Manufacturing Engineering020901 industrial engineering & automationEconomic assessmentArtificial IntelligenceOrder (exchange)Economic assessment Engineer to order Mathematical programming SchedulingSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringProduction (economics)020201 artificial intelligence & image processingSoftware
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Patented intelligence: Cloning human decision models for Industry 4.0

2018

Industry 4.0 is a trend related to smart factories, which are cyber-physical spaces populated and controlled by the collective intelligence for the autonomous and highly flexible manufacturing purposes. Artificial Intelligence (AI) embedded into various planning, production, and management processes in Industry 4.0 must take the initiative and responsibility for making necessary real-time decisions in many cases. In this paper, we suggest the Pi-Mind technology as a compromise between completely human-expert-driven decision-making and AI-driven decision-making. Pi-Mind enables capturing, cloning and patenting essential parameters of the decision models from a particular human expert making …

0209 industrial biotechnologyKnowledge managementIndustry 4.0Computer sciencecognitive modelsCompromisemedia_common.quotation_subjectpäätöksentekoCognitive computingRationality02 engineering and technologyIndustrial and Manufacturing Engineeringcyber-physical system020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringontologyindustry 4.0preferencevalue systemmedia_commonta113cloneta214Cloning (programming)business.industryCollective intelligencecollective intelligencedecision-makingPi-Mindsmart decisiontietämysjärjestelmätpatented intelligenceHardware and ArchitectureControl and Systems Engineeringteollisuusautomaatioälytekniikkavalmistustekniikka020201 artificial intelligence & image processingjoukkoälyHuman cloningbusinessDecision modelSoftwareJournal of Manufacturing Systems
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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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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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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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Influence of processing parameters and initial temper on Friction Stir Extrusion of 2050 aluminum alloy

2017

Abstract Friction Stir Extrusion is an innovative production technology that enables direct wire production via consolidation and extrusion of metal chips or solid billets. During the process, a rotating die is plunged into a cylindrical chamber containing the material to be extruded. The stirring action of the tool produces plastic flow in the extrusion chamber, densifying and heating the charge so that finally, fully dense rods are extruded. Experiments have been carried out in order to investigate the influence of process parameters and initial temper of the base material on the process variables and on the extrudates’ mechanical properties.

0209 industrial biotechnologyMaterials scienceConsolidation (soil)Strategy and ManagementMetallurgyAlloychemistry.chemical_elementFriction Stir Extrusion FSE Recycling Aluminum alloys 205002 engineering and technologyManagement Science and Operations ResearchPlasticityengineering.material021001 nanoscience & nanotechnologyIndustrial and Manufacturing EngineeringRod020901 industrial engineering & automationchemistryAluminiumengineeringExtrusionComposite material0210 nano-technologySettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneJournal of Manufacturing Processes
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In-process control strategies for friction stir welding of AZ31 sheets with non-uniform thickness

2017

Two different in-process control strategies were developed and compared with the aim to produce AZ31 magnesium alloy joints by friction stir welding on sheet blanks with a non-uniform thickness. To this purpose, sheets with dip or hump zones were welded by either changing the rotational speed or the tool plunging in order to keep constant the value of the vertical force occurring during the welding stage of the process. The influence of the main process parameters on the tool force, the micro- and macromechanical properties, and the joints microstructures in the dip and hump zones were analyzed. The results showed that using the rotational speed change-based approach, the hump zones are sub…

0209 industrial biotechnologyMaterials scienceFriction stir welding02 engineering and technologyWeldingRotationIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationlawTailor welded blankFriction stir weldingComposite materialMagnesium alloyJoint (geology)Settore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMechanical EngineeringMetallurgyRotational speedComputer Science Applications1707 Computer Vision and Pattern Recognition021001 nanoscience & nanotechnologyMicrostructureGrain sizeComputer Science ApplicationsControl and Systems Engineering0210 nano-technologyMagnesium alloySoftware
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Assessing the influence of fieldshaper material on magnetic pulse welded interface of Al/Cu joints

2019

Abstract Fieldshaper (FS) is a widely used component in magnetic pulse forming and welding to improve the efficiency of the process. It enables to increase the magnetic pressure experienced by the workpieces during forming and welding. Recent developments in this subject focuses to increase the life time of the fieldshaper and to improve the efficiency by introducing shape optimized designs. In this study, we compare the efficiency of four fieldshapers made of Cuprofor, Siclanic, CuBe2 and Steel. The main focus is given to the effect of material properties while the same geometry was considered for those four fieldshapers. The same welding conditions (discharge voltage of 6kV and air gap of…

0209 industrial biotechnologyMaterials scienceMagnetic pulse weldingdissimilar joints02 engineering and technologyWeldingInterfaceKinetic energyIndustrial and Manufacturing EngineeringVortexlaw.invention020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringFieldshaperArtificial IntelligencelawMagnetic pressureComposite materialPorosityAir gap (plumbing)Material propertiesVoltage
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Considerations Regarding the Industrial Implementation of Incremental Forming Process

2019

Incremental forming is a promising manufacturing process which allow the user to obtain sheet metal parts, in a flexible manner, without the use of a die. However, the industry is still reluctant to apply the process on an industrial scale. Several drawbacks of the process which hinder its industrial implementation are reviewed in the paper. Among them, the low accuracy of the parts and the low productivity of the process are considered. The lack of dedicated technological equipment and specific CAM software tools are also seen as major drawbacks. Moreover, the lack of any analytical tools to predict the plastic behaviour of the processed part and to predict the moment when it loses its int…

0209 industrial biotechnologyMaterials scienceMechanical EngineeringForming processes020207 software engineering02 engineering and technologyCondensed Matter PhysicsFuzzy logicManufacturing engineering020901 industrial engineering & automationMechanics of Materials0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceProductivityMaterials Science Forum
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