Results 61 to 70 of about 22,481 (283)

Modelling and Simulation of Sheet Metal Forming Processes

open access: yes, 2019
Numerical simulation of sheet metal forming processes has become an indispensable tool for the design of components and their forming process, in industries ranging from the automotive, to the aeronautics, packing and household appliances [...
Marta C. Oliveira   +3 more
core   +1 more source

Towards the digital model of tool lifecycle management in sheet metal forming

open access: yes, 2023
Sheet metal forming is a critical process in the manufacturing industry, which involves shaping sheet metal into desired configurations and structures.
Majstorovic, Vidosav   +5 more
core   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

open access: yesAdvanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle   +7 more
wiley   +1 more source

Direct Metal Deposition of Graphene–Ti28Nb35.4Zr Matrix Composites With Enhanced Mechanical, Corrosion, and Biocompatibility Properties for Bone Implants

open access: yesAdvanced Engineering Materials, EarlyView.
Graphene nanoplatelet (0.1 wt.%) reinforcement significantly enhances the performance of β Ti‐28Nb‐35.4Zr alloy. Grain refinement, reduced water contact angle, and improved surface characteristics promote osteoblast adhesion and complete surface coverage after 7 days.
Khurram Munir   +5 more
wiley   +1 more source

Cathodic Cage Plasma Deposition of Nanostructured Cu–Fe–Se Coatings on Poly(methyl Methacrylate)

open access: yesAdvanced Engineering Materials, EarlyView.
Nanostructured Cu–Fe–Se coatings are deposited on PMMA by a modified cathodic cage plasma process, enabling low‐temperature deposition on polymer substrates. A transition from discontinuous to compact morphology is observed with temperature, with optimal properties at 200°C, where improved CuFeSe2‐type bonding, lowest sheet resistance, and favorable ...
V. S. S. Sobrinho   +8 more
wiley   +1 more source

Numerical investigation of an orbital forming process to join dissimilar materials with local material accumulation

open access: yesJournal of Advanced Joining Processes
Increasing demands for lightweight design and functional integration in modern production technology require innovative manufacturing processes. Multi-material systems offer a high potential to face these challenges by reducing weight while maintaining ...
A. Harms   +4 more
doaj   +1 more source

Manufacturing of hybrid gears by incremental sheet-bulk metal forming

open access: yesProcedia Manufacturing, 2019
Abstract The weight of automotive components has to be reduced and additionally a higher integration of functions is aspired. In the case of geared components, the incremental sheet-bulk metal forming technology enables the manufacturing of load- and weight-adapted functional parts.
S. Wernicke, S. Gies, A.E. Tekkaya
openaire   +1 more source

Geometric Modelling of Sheet Metal Stampings [PDF]

open access: yes, 1980
A technique has been developed for the assessment of the magnitude and direction of the principal finite strains from measurements made on a deformed pair of lines.
Chu, Wai-Kwok Edmund
core  

Encyclopedia of 2D β′‐In2Se3 Growth Using Chemical Vapor Deposition: The Effects of Synthesis Parameters Onto Material Quality

open access: yesAdvanced Engineering Materials, EarlyView.
A distinct semi‐confined inner‐tube chemical vapor deposition geometry enables reproducible, large‐area growth of phase‐pure 2D β′‐In2Se3 from InI + Se precursors. Engineering local vapor transport and optimizing precursor delivery and temperature–time conditions yield uniform continuous films.
Dasun P. W. Guruge   +8 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

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