Search results for " impianti"

showing 10 items of 778 documents

Flashing light emitting diodes (LEDs) induce proteins, polyunsaturated fatty acids and pigments in three microalgae

2020

As the periodic emission of light pulses by light emitting diodes (LEDs) is known to stimulate growth or induce high value biocompounds in microalgae, this flashing light regime was tested on growth and biochemical composition of the microalgae Nannochloropsis gaditana, Koliella antarctica and Tetraselmis chui. At low flashing light frequencies (e.g., 5 and 50 Hz, Duty cycle = 0.05), a strain-dependent growth inhibition and an accumulation of protein, polyunsaturated fatty acids, chlorophyll or carotenoids (lutein, β-carotene, violaxanthin and neoxanthin) was observed. In addition, a 4-day application of low-frequency flashing light to concentrated cultures increased productivities of eicos…

0106 biological sciences0301 basic medicinePigmentsLuteinBio Process EngineeringTotal lipidsSettore ING-IND/25 - Impianti ChimiciBioengineering01 natural sciencesApplied Microbiology and Biotechnology03 medical and health scienceschemistry.chemical_compoundPigment:Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Plantefysiologi: 492 [VDP]NeoxanthinPulsed lightChlorophytaVDP::Teknologi: 500::Bioteknologi: 590010608 biotechnologyVDP::Technology: 500::Biotechnology: 590MicroalgaeFood scienceBiomassCarotenoidVLAGchemistry.chemical_classificationDuty cycleDuty cycle Pigments PUFA Pulsed light Total lipidsFatty Acidsfood and beveragesGeneral Medicine:Matematikk og Naturvitenskap: 400::Basale biofag: 470::Molekylærbiologi: 473 [VDP]Flashing030104 developmental biologychemistryChlorophyllvisual_artvisual_art.visual_art_mediumFatty Acids Unsaturated:Teknologi: 500::Bioteknologi: 590 [VDP]StramenopilesPUFABiotechnologyPolyunsaturated fatty acidViolaxanthin
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Reducing waste and ecological impacts through a sustainable and efficient management of perishable food based on the Monte Carlo simulation

2019

Abstract In today’s competitive global market it is mandatory to improve warehousing operations integrating economic, environmental and social aspects. The recent advancement in monitoring technologies can greatly improve the performance of the food supply chain reducing product loss. In particular, in the perishable food supply chain, initially inventory operations are critical because they manage the material flows in very variable conditions. The deterioration level of the products as well as the market demand are the main factors that can influence warehouse strategy. This research aims to consider the application of sustainability principles in the context of warehouse storage, evaluat…

0106 biological sciencesTraceabilityComputer scienceSupply chainGeneral Decision SciencesContext (language use)010501 environmental sciences010603 evolutionary biology01 natural sciencesWarehouse managementSupply and demandSettore ING-IND/17 - Impianti Industriali MeccaniciMonte Carlo simulationEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEcologyEcological impacts Food waste reduction Monte Carlo simulation Shelf life model Sustainability Warehouse managementEnvironmental economicsEcological impactWarehouseProduct (business)SustainabilitySustainabilityShelf life modelCarbon footprintEcological impacts; Food waste reduction; Monte Carlo simulation; Shelf life model; Sustainability; Warehouse managementFood waste reductionEcological Indicators
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Transition to turbulence in serpentine pipes

2017

Abstract The geometry considered in the present work (serpentine pipe) is a sequence of U-bends of alternate curvature. It is characterized by pipe diameter, d = 2a and bend diameter, D = 2c. The repeated curvature inversion forces the secondary flow pattern, typical of all flows in curved ducts, to switch between two mirror-like configurations. This causes (i) pressure drop and heat or mass transfer characteristics much different from those occurring either in a straight pipe or in a constant-curvature pipe, and (ii) an early loss of stability of the base steady-state flow. In the present work, four values of the curvature δ = a/c (0.2, 0.3, 0.4 and 0.5) were considered. For each value of …

020209 energyPrandtl number02 engineering and technologySerpentine pipeCondensed Matter PhysicCurvature01 natural sciences010305 fluids & plasmasPhysics::Fluid Dynamicssymbols.namesakeEngineering (all)Computational fluid dynamic0103 physical sciences0202 electrical engineering electronic engineering information engineeringSecondary flowSettore ING-IND/19 - Impianti NucleariPhysicsPressure dropTurbulenceGeneral EngineeringReynolds numberMechanicsCondensed Matter PhysicsSecondary flowTransition to turbulenceClassical mechanicsHeat fluxFlow conditioningsymbolsBifurcation
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Combined gasification-oxidation system for waste treatment with supercritical water: Lca and performance analysis

2020

In this study the environmental performance of a first-of-its-kind integrated process based on supercritical water gasification and oxidation (SCW-GcO), was evaluated using life cycle assessment (LCA). The process was applied to the treatment of carbon black and used oil as model wastes. Mass and energy balances were performed using Aspen Plus, and the environmental assessment was carried out through SimaPro. A “from cradle to grave” approach was chosen for the analysis, considering impact categories such as climate change, ozone depletion, human toxicity, particulate matter, land use, resource depletion, and other relevant indicators. The environmental profile of the SCW-GcO process was co…

020209 energySettore ING-IND/25 - Impianti ChimiciGeography Planning and DevelopmentEnergy balanceTJ807-83002 engineering and technologyManagement Monitoring Policy and Lawsupercritical waterTD194-195Renewable energy sourceslife cycle assessment0202 electrical engineering electronic engineering information engineeringEnvironmental impact assessmentGE1-350Life-cycle assessmentwaste treatmentsSettore ING-IND/11 - Fisica Tecnica AmbientaleWaste managementEnvironmental effects of industries and plantsRenewable Energy Sustainability and the EnvironmentLife cycle assessment Supercritical water Waste treatmentsParticulates021001 nanoscience & nanotechnologyResource depletionOzone depletionSupercritical fluidEnvironmental sciencesWaste treatmentEnvironmental science0210 nano-technologysupercritical water; life cycle assessment; waste treatments
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From lab to industry: Scaling up green geopolymeric mortars manufacturing towards circular economy

2021

Abstract Construction is nowadays considered an extremely energy intensive industry and one of the main sources of environmental pollution in the world. Therefore, the research and the development of novel energy-saving manufacturing processes and sustainable construction materials is more than ever urgent and challenging. This paper aims at identifying the industrial process for the production of novel geopolymers to be used as a greener substitute for cement, especially the Portland one, widely used for structural applications to significantly reduce the environmental impact of the construction industry. Here, the materials sustainability and the manufacturing process are improved by valo…

020209 energyStrategy and ManagementCircular economy Construction Economic analysis Geopolymeric mortars Industrial scale-up SustainabilitySettore ICAR/10 - Architettura TecnicaEnvironmental pollution02 engineering and technologyReuseRaw materialIndustrial and Manufacturing EngineeringCircular economy; Construction; Economic analysis; Geopolymeric mortars; Industrial scale-up; SustainabilitySettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringProcess engineering0505 lawGeneral Environmental ScienceRenewable Energy Sustainability and the Environmentbusiness.industryCircular economy05 social sciencesBuilding and ConstructionEnergy consumptionProduct (business)Sustainability050501 criminologyEnvironmental sciencebusinessEmbodied energy
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Consistent Clustering of Elements in Large Pairwise Comparison Matrices

2018

[EN] In multi-attribute decision making the number of decision elements under consideration may be huge, especially for complex, real-world problems. Typically these elements are clustered and then the clusters organized hierarchically to reduce the number of elements to be simultaneously handled. These decomposition methodologies are intended to bring the problem within the cognitive ability of decision makers. However, such methodologies have disadvantages, and it may happen that such a priori clustering is not clear, and/or the problem has previously been addressed without any grouping action. This is the situation for the case study we address, in which a panel of experts gives opinions…

0209 industrial biotechnologyAHP0211 other engineering and technologiesAnalytic hierarchy process02 engineering and technologycomputer.software_genreWater distribution system (WDS)Pairwise comparisonMatrix (mathematics)020901 industrial engineering & automationSettore ING-IND/17 - Impianti Industriali MeccaniciDecomposition (computer science)Cluster (physics)Cluster analysisMathematics021103 operations researchApplied MathematicsManagement and operation of a WDSComputational MathematicsIdentification (information)Miller’s magic number sevenA priori and a posterioriPairwise comparisonData miningMiller's magic number sevenMATEMATICA APLICADAcomputerDecision-making
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OMiLAB: A Smart Innovation Environment for Digital Engineers

2020

This position paper introduces a Smart Innovation Environment for experimentation related to digital transformation projects, for the consolidation of a proposed "Digital Engineer" skill profile (with a business-oriented facet labelled as "Digital Innovator"). In the Internet of Things era, this profile implies the ability to perform both digital design and engineering activities, to semantically bridge multiple layers of abstraction and specificity - from business analysis down to cyber-physical engineering. In the paper's proposal, this integration is enabled by conceptual modelling methods and interoperable modelling tools, tailored to support the creation of Digital Twins for innovative…

0209 industrial biotechnologyComputer sciencebusiness.industryInteroperabilityDigital transformationCyber-physical system02 engineering and technologycyber-physical systemsBridge (nautical)Abstraction layeragile modelling method engineering020901 industrial engineering & automationdigital twin020204 information systemsSettore ING-IND/17 - Impianti Industriali MeccaniciBusiness analysis0202 electrical engineering electronic engineering information engineeringPosition paperOMiLAB; Digital Twin; Digital Engineer; Digital Innovator; Agile Modelling Method Engineering; Cyber-Physical Systemsomilabdigital innovatordigital engineerArchitectureSoftware engineeringbusiness
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Propulsion monitoring system for digitized ship management: Preliminary results from a case study

2020

Abstract The paradigm of Industry 4.0 a fundamental driver of innovation in marine industry, where the new digital era will see the development of smart cyber-ships equipped with advanced automation systems that will progressively evolve towards fully autonomous vessels. Although the journey towards such technological frontier has started, most companies operating in the maritime sector still appear un-prepared to face the future scenario. In the maritime sector, in fact, empirical models and oversimplified approaches are still largely employed for the management of fleet operations. There is thus the necessity of developing and providing operative models for digitized ship management, whic…

0209 industrial biotechnologyDecision support systemShip managementcontinuous engine monitoring systemsmart shipbusiness.industryDigital eraComputer scienceMonitoring systemContext (language use)02 engineering and technologyPropulsionIndustry 4.0AutomationGeneralLiterature_MISCELLANEOUSIndustrial and Manufacturing Engineering020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringRisk analysis (engineering)Artificial IntelligenceOrder (exchange)Settore ING-IND/17 - Impianti Industriali Meccanicibusiness
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A simulated annealing-based approach for the joint optimization of production/inventory and preventive maintenance policies

2017

Even if more reliable than the past, the performance of modern manufacturing systems is still affected by machine’s deteriorations and breakdowns. As a consequence, adequate maintenance programs must be implemented to adequately satisfy demands during manufacturing stops due to unexpected failures or preventive maintenance (PM) actions. Despite production and maintenance are closely related issues, their joint optimization has become an important research topic just during the last decade. Therefore, the present paper proposes a model for the combined optimization of production/inventory control and PM policies with the aim of minimizing the total expected cost per unit time. The model is f…

0209 industrial biotechnologyEngineeringService (systems architecture)0211 other engineering and technologies02 engineering and technologyPreventive maintenanceIndustrial and Manufacturing EngineeringContinuous production020901 industrial engineering & automationRobustness (computer science)Settore ING-IND/17 - Impianti Industriali MeccaniciProduction (economics)Settore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMonte Carlo simulationInventory control021103 operations researchbusiness.industryPlanned maintenanceMechanical EngineeringSimulated annealing algorithmJoint optimizationPreventive maintenanceComputer Science ApplicationsReliability engineeringBuffer stockControl and Systems EngineeringSimulated annealingbusinessSoftwareThe International Journal of Advanced Manufacturing Technology
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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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