Search results for "manufacturing"

showing 10 items of 2299 documents

A physical-based constitutive model for surface integrity prediction in machining of OFHC copper

2017

International audience; Due to the rising interest in predicting machined surface integrity and sustainability, various models for metal cutting simulation have been developed. However, their accuracy depends deeply on the physical description of the machining process. This study aims to develop an orthogonal cutting model for surface integrity prediction, which includes a physical-based constitutive model of Oxygen Free High Conductivity (OFHC) copper. This constitutive model incorporates the effects of the state of stress and microstructure on the work material behavior, as well as a dislocation density-based model for surface integrity prediction. The coefficients of the constitutive mod…

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]0209 industrial biotechnologyWork (thermodynamics)Materials scienceMatériaux [Sciences de l'ingénieur][ SPI.MECA ] Engineering Sciences [physics]/Mechanics [physics.med-ph]Constitutive equation[ SPI.MAT ] Engineering Sciences [physics]/Materials02 engineering and technologyIndustrial and Manufacturing Engineering[SPI.MAT]Engineering Sciences [physics]/MaterialsStress (mechanics)modelling020901 industrial engineering & automationMécanique: Génie mécanique [Sciences de l'ingénieur]MachiningResidual stress[SPI.MECA.MEMA]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of materials [physics.class-ph]Mécanique: Mécanique des matériaux [Sciences de l'ingénieur]business.industryMécanique [Sciences de l'ingénieur]OHFC copperMetals and AlloysStructural engineeringConstitutive model[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]021001 nanoscience & nanotechnologysurface integrityFinite element methodComputer Science Applications[SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]Modeling and Simulation[ SPI.MECA.MEMA ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of materials [physics.class-ph]Ceramics and Compositesorthogonal cuttingDislocation0210 nano-technologybusinessSurface integrity
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Microstructure impact on high temperature corrosion behavior of AISI 316L stainless steel additively manufactured by Selective Laser Melting (AM-SLM)

2019

International audience; Additive Manufacturing by Selective Laser Melting (AM-SLM) is a near-net shape method producing dense and geometrically complex materials from micrometric powders. This process involves complete melting and very high cooling rates who induce a refinement of microstructure, improving the mechanical properties of the material [1,2]. However, the impact of these new microstructures on real functioning properties, like for instance the high temperature durability, needs to be studied. In this purpose, AISI 316L is considered in this work. Samples elaborated by AM-SLM and by conventional metallurgy were oxidized under laboratory air at 900°C for periods up to 3000h. The r…

[CHIM.INOR] Chemical Sciences/Inorganic chemistry[CHIM.MATE] Chemical Sciences/Material chemistryHigh temperature oxidation316LAdditive Manufacturingmicrostructure[CHIM.MATE]Chemical Sciences/Material chemistry[CHIM.INOR]Chemical Sciences/Inorganic chemistry
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Additive manufacturing, new elaboration technique of metallic materials : impact of the microstructure on high temperature durability of AISI 316L st…

2021

Additive Manufacturing (AM) processes are able to elaborate, in a single step, metallic parts with very complex geometry, as close as possible to their final dimensions, based on 3D CAD model. Despite a very large number of studies on AM parameters, very few studies report on the high temperature behavior of the metallic materials produced by these processes. This thesis work evaluates the impact of the Selective Laser Melting (SLM) process on the high temperature durability of the austenitic stainless steel AISI 316L, commercial grade widely used in the industry. For this purpose, the reactivity of SLM samples was studied in different conditions (atmosphere, temperature, isothermal or cycl…

[CHIM.MATE] Chemical Sciences/Material chemistryHigh temperature oxidationFabrication additiveAdditive ManufacturingOxydation haute températureMicrostructureAisi 316lSlm
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A Neural Network Meta-Model and its Application for Manufacturing

2015

International audience; Manufacturing generates a vast amount of data both from operations and simulation. Extracting appropriate information from this data can provide insights to increase a manufacturer's competitive advantage through improved sustainability, productivity, and flexibility of their operations. Manufacturers, as well as other industries, have successfully applied a promising statistical learning technique, called neural networks (NNs), to extract meaningful information from large data sets, so called big data. However, the application of NN to manufacturing problems remains limited because it involves the specialized skills of a data scientist. This paper introduces an appr…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]0209 industrial biotechnology[SPI] Engineering Sciences [physics]Computer scienceneural networkBig dataContext (language use)02 engineering and technologycomputer.software_genreMachine learningCompetitive advantageData modeling[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][SPI]Engineering Sciences [physics]020901 industrial engineering & automationPMML0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]data analyticsArtificial neural networkbusiness.industrymeta-modelMetamodelingmanufacturingAnalyticsSustainabilityPredictive Model Markup LanguageData analysis020201 artificial intelligence & image processingData miningArtificial intelligencebusinesscomputer
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Conception basée sur les origamis pour l'impression 4D de structures déployables

2020

Deployable structures can be deformed between the different configurations through predetermined mechanisms, showing the great potential in many engineering applications. However, their exquisite and intricate mechanisms also bring a great difficulty to the design of its structure. With the growing 4D printing efforts, its self-transforming characteristics under external stimuli provide new possibilities for deploying complex and challenging driving structures. Furthermore, origami-based engineering has provided tremendous technical support for structural conversion, especially from 2D to 3D states, leading to many design studies based on origami-inspired deployable structures. However, the…

[SPI.OTHER]Engineering Sciences [physics]/OtherOrigami-Based designMatériaux intelligentsStructure déployableFabrication additive[SPI.OTHER] Engineering Sciences [physics]/OtherAdditive manufacturingConception des produits[PHYS.MECA.GEME] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]Smart materials[PHYS.MECA.GEME]Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]4D PrintingConception à base d'origamiImpression 4DProduct designDeployable structure
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Alkaline pretreatment to enhance one-stage CH4 and two-stage H2/CH4 production from sunflower stalks: Mass, energy and economical balances

2015

Abstract Biological production of second generation biofuels such as biohydrogen (H2) or methane (CH4) represents a promising alternative to fossils fuels. Alkaline pretreatments of lignocellulosic biomass are known to enhance the accessibility and the bioconversion of hollocelluloses during anaerobic digestion and dark fermentation processes. In the present study, four different configurations were investigated: one-stage CH4 continuous and two-stage H2 batch/CH4 continuous process with and without alkaline pretreatment of sunflower stalks (55 °C, 24 h, 4 g NaOH/100 g TS). The results showed that two stage H2/CH4 (150 ± 3.5 mL CH4 g−1 VS) did not improve methane yields compared to one stag…

anaerobic digestionWaste managementChemistryBioconversionGeneral Chemical Engineeringmethane[SDV]Life Sciences [q-bio]biohydrogenBiomassLignocellulosic biomassGeneral ChemistryDark fermentationPulp and paper industry7. Clean energyIndustrial and Manufacturing EngineeringAnaerobic digestiondark fermentation13. Climate actionBiofuelDigestateEnvironmental ChemistryBiohydrogenta219lignocellulosic biomassenergy assessment
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Development and pilot-scale validation of a fuzzy-logic control system for optimization of methane production in fixed-bed reactors

2018

International audience; The objective of this study was to develop an advanced control system for optimizing the performance of fixed-bed anaerobic reactors. The controller aimed at maximizing the bio-methane production whilst controlling the volatile fatty acids content in the effluent. For this purpose, a fuzzy-logic controller was developed, tuned and validated in an anaerobic fixed-bed reactor at pilot scale (350 L) treating raw winery wastewater. The results showed that the controller was able to adequately optimize the process performance, maximizing the methane production in terms of methane flow rate, resulting in an average methane yield of about 0.29 LCH4 g−1 COD. On the other han…

anaerobic digestionfixed-bed reactor[SDV]Life Sciences [q-bio]0208 environmental biotechnologybio-methane02 engineering and technologyIndustrial and Manufacturing EngineeringMethanechemistry.chemical_compound020401 chemical engineeringControl theoryProduction (economics)0204 chemical engineeringProcess engineeringEffluentbusiness.industryProcess (computing)Optimal controlwinery wastewater6. Clean water020801 environmental engineeringComputer Science Applicationsfuzzy-logic controlchemistryWastewaterControl and Systems EngineeringModeling and SimulationControl system[SDE]Environmental SciencesEnvironmental sciencebusinessoptimization
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Protein and glycerol contents affect physico-chemical properties of soy protein isolate-based edible films

2010

Abstract This study was conducted to determine the effect of both soy protein and glycerol contents on physico-chemical properties of soy protein isolate-based edible (SPI) films. The aim of this study was to better understand the influence of SPI and GLY contents on the behavior of the physico-chemical properties of soy protein isolate-based films. Films were casted from heated (70 °C for 20 min) alkaline (pH 10) aqueous solutions of SPI at 6, 7, 8, and 9 (w/w %), glycerol (50%, w/w, of SPI) and SPI at 7 (w/w %), glycerol (40, 60, 70 %, w/w of SPI). Water vapor permeability (WVP), was measured at 25 °C and for four different relative humidities (30–100%, 30–84%, 30–75%, 30–53%). Surface pr…

animal structuresAqueous solutionChemistryFlavourGeneral ChemistryIndustrial and Manufacturing EngineeringFood packagingchemistry.chemical_compoundDifferential scanning calorimetryGlycerolFood scienceWettingChemical compositionSoy proteinFood ScienceInnovative Food Science & Emerging Technologies
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The effects of biomass co-gasification and co-firing on the development of combustion dynamics

2018

Abstract Effects of wheat straw co-firing with gas (propane flame) and co-gasification/co-combustion with wood pellets on the development of thermo-chemical conversion of biomass pellets and on heat energy production were experimentally studied and analyzed with the aim to improve the gasification/combustion characteristics and the applicability of wheat straw as an alternative energy source for cleaner heat energy production. The results suggest that the wheat straw co-firing with propane provides an enhanced thermal decomposition of pellets with more complete combustion of volatiles increasing thus the heat output at thermo-chemical conversion of wheat straw and the produced heat energy p…

animal structuresMaterials science020209 energyPelletsBiomass02 engineering and technologyCombustionIndustrial and Manufacturing Engineeringlaw.inventionchemistry.chemical_compound020401 chemical engineeringlawBioenergyPropane0202 electrical engineering electronic engineering information engineering0204 chemical engineeringElectrical and Electronic EngineeringCivil and Structural EngineeringWaste managementbusiness.industryMechanical EngineeringFossil fuelfood and beveragesBuilding and ConstructionStrawPollutionIgnition systemGeneral EnergychemistrybusinessEnergy
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Bresaola made from Cinisara cattle: effect of muscle type and animal category on physicochemical and sensory traits

2020

The physicochemical characteristics and sensory traits of Cinisara bresaola were investigated, to explore a new commercial opportunity for autochthonous dairy cattle farms. Semimembranosus, Semitendinosus and Biceps brachii muscles, from adult cows (AC) and grazing (GB) or housed (HB) young bulls of Cinisara breed, were processed to made bresaola. Differences due to animal category and muscle type were observed. Bresaola from AC was richer in fat and volatile organic compounds. The bresaola from Semitendinosus showed higher colorimetric parameters, fat and, when from grazing animals, Warner-Bratzler shear force than those made from other muscles. In general, all bresaola were well appreciat…

análisis sensorialvolatile organic compoundSettore AGR/19 - Zootecnica SpecialeVeterinary medicineCinisara cattleGeneral Chemical EngineeringMuscle typeSensory systemlcsh:TX341-641raza CinisaraBiologyIndustrial and Manufacturing Engineeringsensory analysisSettore AGR/17 - Zootecnica Generale E Miglioramento Geneticovolatile organic compoundsDairy cattlecinisara breedlcsh:TP368-456compuestos orgánicos volátileSettore AGR/15 - Scienze E Tecnologie AlimentariGeneral Chemistrybresaolalcsh:Food processing and manufacturelcsh:Nutrition. Foods and food supplySettore AGR/16 - Microbiologia AgrariaFood ScienceCyTA - Journal of Food
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