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The deep drawing of an aluminum alloy used in the packaging industry for the beverage can manufacturing process is investigated. In this work, the effective constitutive behavior is based on a crystal plasticity model in combination with a non-linear Hashin-Shtrikman type homogenization scheme in which a reference stiffness controls the stress and strain fluctuations. The simulation results are compared to experiments in terms of deep drawing earing profiles, texture evolution, and localization.

Mikromechanik --- homogenization --- Homogenisierung --- sheet metal forming --- Multiskalen --- Blechumformungmicromechanics --- multiscale --- Kristallplastizität --- crystal plasticity

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With the advent of disruptive digital technologies, companies are facing unprecedented challenges and opportunities. Advanced manufacturing systems are of paramount importance in making key enabling technologies and new products more competitive, affordable, and accessible, as well as for fostering their economic and social impact. The manufacturing industry also serves as an innovator for sustainability since automation coupled with advanced manufacturing technologies have helped manufacturing practices transition into the circular economy. To that end, this Special Issue of the journal Applied Sciences, devoted to the broad field of Smart Sustainable Manufacturing Systems, explores recent research into the concepts, methods, tools, and applications for smart sustainable manufacturing, in order to advance and promote the development of modern and intelligent manufacturing systems. In light of the above, this Special Issue is a collection of the latest research on relevant topics and addresses the current challenging issues associated with the introduction of smart sustainable manufacturing systems. Various topics have been addressed in this Special Issue, which focuses on the design of sustainable production systems and factories; industrial big data analytics and cyberphysical systems; intelligent maintenance approaches and technologies for increased operating life of production systems; zero-defect manufacturing strategies, tools and methods towards online production management; and connected smart factories.

n/a --- sensitivity analysis --- customized demand --- dynamic supply chain design --- additive manufacturing --- sensor function --- deteriorating systems --- big data --- connected smart factories --- operations management --- kernel density estimation --- development --- efficiency --- hybrid laminate --- managerial commitment --- productivity benefits --- particle map --- pace --- car-sharing --- particle defect management --- case study --- quality --- semiconductor manufacturing process --- open innovation --- circular economy --- remanufacturing --- sustainability evaluation --- multi-usable cloud service platform --- knowledge-based engineering --- sustainable manufacturing --- Dempster–Shafer evidence theory --- Transport Sustainability Index --- Industry 4.0 --- knowledge management --- collective intelligence --- analytic hierarchy process --- TPM --- flexibility --- manufacturing process innovation --- data collection and analytics --- smart factory --- intelligent machining --- computer-aided innovation --- implementation --- improvement --- piezoceramic compound --- sheet metal forming --- production planning --- impact detection --- maintenance --- Dempster-Shafer evidence theory

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Machine learning (ML) technologies are emerging in Mechanical Engineering, driven by the increasing availability of datasets, coupled with the exponential growth in computer performance. In fact, there has been a growing interest in evaluating the capabilities of ML algorithms to approach topics related to metal forming processes, such as: Classification, detection and prediction of forming defects; Material parameters identification; Material modelling; Process classification and selection; Process design and optimization. The purpose of this Special Issue is to disseminate state-of-the-art ML applications in metal forming processes, covering 10 papers about the abovementioned and related topics.

Technology: general issues --- History of engineering & technology --- Mining technology & engineering --- 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 --- n/a

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The miniaturization of industrial products is a global trend. Metal forming technology is not only suitable for mass production and excellent in productivity and cost reduction, but it is also a key processing method that is essential for products that utilize advantage of the mechanical and functional properties of metals. However, it is not easy to realize the processing even if the conventional metal forming technology is directly scaled down. This is because the characteristics of materials, processing methods, die and tools, etc., vary greatly with miniaturization. In metal micro forming technology, the size effect of major issues for micro forming have also been clarified academically. New processing methods for metal micro forming have also been developed by introducing new special processing techniques, and it is a new wave of innovation toward high precision, high degree of processing, and high flexibility. To date, several special issues and books have been published on micro-forming technology. This book contains 11 of the latest research results on metal micro forming technology. The editor believes that it will be very useful for understanding the state-of-the-art of metal micro forming technology and for understanding future trends.

laser impact liquid flexible embossing --- microforming --- 3-D large area micro arrays --- liquid shock wave --- high strain rate forming --- numerical simulation --- carbon nanotubes --- feedstock --- homogeneity --- metallic powders --- micro hot embossing --- shaping --- plasma printing --- micro-texturing --- screen printing --- low-temperature plasma nitriding --- selective anisotropic nitrogen embedding --- selective hardening --- sand blasting --- AISI316 --- micro-meshing punch array --- copper plates --- resistance heating system --- surface modification --- free surface roughness evolution --- compression --- thin sheet metal --- micro metal forming --- ultrasonic --- orbital forming --- micro-tubes --- micro-tube drawing --- micro-hydroforming --- laser assisted --- severe plastic deformation --- micro-tube testing --- dieless drawing --- SUS304 stainless steel wires --- oxide layer --- finite element simulation --- surface texturing --- sheet metal forming --- in-situ observation --- micro-dimple --- lubricant --- microtube --- hydroforming --- T-shape bulging --- tube materials --- friction --- tube length --- micro hydroformability --- process window --- FE analysis --- microstructure --- size effects --- deformation characterization --- micro-rolling --- wire --- n/a

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This book derives from the Special Issue of the Manufacturing Engineering Society (MES) that was launched as a Special Issue of the journal Materials. The 48 contributions, published in this book, explore the evolution of traditional manufacturing models toward the new requirements of the Manufacturing Industry 4.0 and present cutting-edge advances in the field of Manufacturing Engineering focusing on additive manufacturing and 3D printing, advances and innovations in manufacturing processes, sustainable and green manufacturing, manufacturing systems (machines, equipment and tooling), metrology and quality in manufacturing, Industry 4.0, product lifecycle management (PLM) technologies, and production planning and risks.

ultrasonic metal welding --- finite element analysis --- temperature distribution --- strength of the joint in tension --- heat flux --- friction --- plastic deformation --- thermocouple --- WEDM --- deep learning --- deep neural networks --- Industry 4.0 --- crash boxes --- joining by forming --- resistance spot-welding --- crashworthiness --- UNS A92024 --- WC–Co --- wear mechanism --- tribology --- adhesion --- laser --- additive manufacturing --- laser beam machining --- laser polishing --- waviness --- roughness --- Inconel 718 --- Ti6Al4V alloy --- chip geometry --- dry machining --- parametric models --- turning --- UNS A92024-T3 --- corrosion --- surface integrity --- Ra --- residual stress --- functional performance --- ultimate tensile strength --- wear --- drilling --- machining --- dry drilling --- stack --- FML --- CFRP --- UNS A97075 --- stepped shaft --- cross wedge rolling --- plastic flow kinetic theories --- variable cone angle billets --- near-net forming --- gear manufacturing --- roughness model --- multitasking machines/multiprocess machines --- NEXAFS --- soft X-rays SXR --- SXR absorption spectroscopy --- respiratory movement --- lung tumor --- radiotherapy --- arduino --- cancer treatment --- linear accelerator --- ultrasonic molding --- microchannel --- thin-wall plate --- replicability --- polystyrene --- medical devices --- FDM --- PLA --- material color --- pigmentation --- extrusion temperature --- humidity --- micro-manufacturing --- manufacturing systems --- production planning --- polylactide (PLA) --- acrylonitrile butadiene styrene (ABS) --- tensile behaviour --- layer height --- infill density --- layer orientation --- cybernetics --- system dynamics --- production management --- maintenance management --- Viable System Model --- automotive industry --- hybrid components stack --- titanium --- magnesium --- repair and maintenance operations --- roughness average (Ra) --- ANOVA --- in-process measurement --- geometric accuracy --- grinding process --- tapered roller bearings --- single --- point --- incremental --- forming --- thermoplastics --- biocompatible --- temperature --- process --- parameters --- 3D printing --- correlation coefficients --- fused deposition modeling --- non-parametric tests --- surface roughness --- LMD --- laser metal deposition --- shielding gas --- argon --- helium --- melt pool temperature --- synthetic polymer --- bioprinting --- multi-material microextrusion --- bioink --- Selective Laser Melting --- thermo fluidic --- phase change --- consolidation --- Arbitrary Lagrangean–Eulerian Method --- metallic powder --- basalt fiber reinforced plastic (BFRP) --- delamination --- edge trimming --- tool wear --- scaffold --- PCL --- RepRap --- fused filament fabrication --- three-dimensional --- cell culture --- design --- topological optimization --- cost --- stock --- spare parts --- free-form filament fabrication (FFF) --- robot-assisted polishing --- force signal --- end point detection --- WAAM --- GMAW --- cold metal transfer --- hardness --- mechanical properties --- thermal input --- microstructure --- Synchrotron X-rays --- lithography --- curved substrate --- microstructures --- computed tomography --- surface extraction --- Canny algorithm --- Deriche algorithm --- carbon fiber reinforced polymer --- hole quality characteristics --- geometrical parameters --- roughness parameters --- taper --- heat affected zone --- product lifecycle management (PLM) --- manufacturing problem solving (MPS) --- fault diagnosis --- smart factory --- process failure mode and effect analysis (PFMEA) --- case-based reasoning (CBR) --- hole making --- surface texture --- contact measurement --- optical measurement --- delphi prospection --- education --- employment --- feature-based modeling --- inspection planning --- dimensional and geometrical specification --- process specification --- collaborative and integrated product-process development --- modeling --- laser processing --- simulation --- pyrometer --- aluminum --- brain --- rapid prototyping --- atlas --- rat --- magnetic resonance imaging --- educative model --- scaffolds --- porosity --- pore size --- multiobjective optimization --- priority dispatching rules --- simulation optimization --- job shop scheduling --- flexible manufacturing systems --- service-oriented manufacturing systems --- maintenance --- aircrat engine repair and overhaul (MRO) --- incremental forming --- FEM --- force prediction --- numerical model --- semi-analytical model --- specific energy --- welding distortion --- LSND (low stress no distortion) --- htTTT --- model validation --- Compression-After-Impact testing --- Compression-After-Impact strength --- carbon fiber reinforced plastics --- flat specimen --- AA7075 --- risk assessment --- dangerous substance --- Directive 89/391/EEC --- Directive 2012/18/EU --- ISO 45001:2018 standard --- emerging risk --- major accident --- manufacturing --- occupational accident --- risk management --- manufacturing industry --- bow-tie analysis --- pallet mover accidents --- accident analysis --- safety barriers --- sheet metal forming --- flanging --- hole-flanging --- incremental sheet forming --- Single Point Incremental Forming (SPIF) --- thickness distribution --- additive manufacturing and 3D printing --- advances and innovations in manufacturing processes --- sustainable and green manufacturing --- manufacturing systems: machines --- equipment and tooling --- metrology and quality in manufacturing --- product lifecycle management (PLM) technologies --- risks