Forming Processes of Modern Metallic Materials |
Autore | Trzepiecinski Tomasz |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (258 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
electromagnetically assisted forming
springback control numerical simulation modified 9Cr-2W steel B content phase transformation texture heat treatment coefficient of friction deep drawing draw bead material properties sheet metal forming surface properties drawbead FEM friction numerical modeling mechanical engineering stamping process bending under tension friction testing strip drawing tribology tandem skew rolling seamless tube magnesium alloy deformation behavior high strength steel asymmetric rolling aluminum alloy planar anisotropy mechanical properties microstructures truncated cone incremental sheet forming SPIF bending under tension test BUT aircraft industry aluminium alloy friction stir spot welding single-lap joints bending force prediction hot strip rolling (HSR) comparative assessment machine learning regression electromagnetic forming finite element method flexible-die forming flow-forming metal forming plastic working solid granular medium forming spinning warm forming |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557470403321 |
Trzepiecinski Tomasz
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Recent Advances and Applications of Machine Learning in Metal Forming Processes |
Autore | Prates Pedro |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (210 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology Mining technology & engineering |
Soggetto non controllato |
sheet metal forming
uncertainty analysis metamodeling machine learning hot rolling strip edge defects intelligent recognition convolutional neural networks deep-drawing kriging metamodeling multi-objective optimization FE (Finite Element) AutoForm robust analysis defect prediction mechanical properties prediction high-dimensional data feature selection maximum information coefficient complex network clustering ring rolling process energy estimation metal forming thermo-mechanical FEM analysis artificial neural network aluminum alloy mechanical property UTS topological optimization artificial neural networks (ANN) machine learning (ML) press-brake bending air-bending three-point bending test sheet metal buckling instability oil canning artificial intelligence convolution neural network hot rolled strip steel defect classification generative adversarial network attention mechanism deep learning mechanical constitutive model finite element analysis plasticity parameter identification full-field measurements |
ISBN | 3-0365-5772-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910637782503321 |
Prates Pedro
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019) |
Autore | Rubio Eva M |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (533 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
Bayesian inference
control chart dynamic methodology hidden Markov chain occupational accident risk assessment risk control risk management Fused Deposition Modeling roughness Polylactic Acid print orientation angle build angle titanium alloys sustainable lubrication cryogenic lubrication MQL OD grinding CBN dressing rotary dresser wear CVD diamond additive manufacturing 3D printing fused filament fabrication flexural properties fatigue PLA cements ballast waste cornubianite mechanical properties Spain joining forming sheet–tube connections experimentation modelling and simulation quality enhancement process parameters design optimization calibration artifact kinematic support dimensional metrology machine tool length measurement rapid prototyping efficiency printing time experimental model prepeg carbon fiber Raman spectroscopy AWJM waterjet CFRP kerf taper surface quality metal forming bi-metallic cylinders compression finite elements microscopy cold expansion mandrel cold-forming swaging shipbuilding LARG paradigm supply chain coordinate metrology confocal microscopy measurement calibration traceability uncertainty quality assessment digital image correlation indentation process incremental forming finite element method material flow AWJM (Abrasive waterjet machining) CFRTP (Carbon fiber-reinforced thermoplastics) RSM (response surface methodology) ANOVA (Analysis of variance) C/TPU (carbon/polyurethane) image processing position control accuracy micromachines position compensation inverse conical perspective micromanufacturing manufacturing systems mechatronics FDM bimodulus materials standards finite element analysis (FEA) ABS anisotropy infill density layer orientation ASTM D638–14:2014 ISO 527–2:2012 grounding electrodes in two-layered soils step and touch potentials step potentials upper bound orthoses prostheses fused deposition modeling laminated object manufacturing selective laser sintering laser tracker Monte Carlo method verification green manufacturing sustainability metrics cleaner product life cycle material removal processes hybrid components light alloys magnesium aluminum drilling dry machining cold compressed air lubrication and cooling systems arithmetical mean roughness Ra average maximum height Rz repair and maintenance operations fused deposition modelling composites polymer injection moulding polyamide metal matrix composite Al-SiC microstructure machining cooling compressed air thrust force energy material removed rate PEEK-GF30 multi-response optimization sustainable manufacturing metrology industry 4.0 modeling and simulation quality in manufacturing technological and industrial heritage |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Special Issue of the Manufacturing Engineering Society 2019 |
Record Nr. | UNINA-9910557406303321 |
Rubio Eva M
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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