Results 21 to 30 of about 2,843,453 (292)

A review of micro-powder injection moulding as a microfabrication technique [PDF]

open access: yes, 2011
Micro-powder injection moulding (µPIM) is a fast-developing micro-manufacturing technique for the production of metal and ceramic components. Shape complexity, dimensional accuracy, replication fidelity, material variety combined with high- volume ...
Alcock, Jeffrey R.   +3 more
core   +1 more source

Electrical conductivity and physical changes of functionalized carbon nanotube/graphite/stainless steel (SS316L)/polypropylene composites immersed in an acidic solution [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2018
Chemical functionalization of carbon nanotubes (CNTs) and graphite (G) was performed to improve their adhesion to a metal powder (SS316L) and a polypropylene (PP) matrix.
Hendra Suherman   +4 more
doaj   +1 more source

On the Study of Mechanical Properties of Aluminum/Nano-Alumina Composites Produced via Powder Injection Molding [PDF]

open access: yesMechanics of Advanced Composite Structures, 2016
Powder Injection Molding (PIM) is a precision manufacturing process used for production of advanced composites. Mixing of polymeric binder with metal powders, molding of feedstock, de-binding of brown parts and sintering of green samples are four main ...
Hassan Abdoos   +2 more
doaj   +1 more source

Modeling of stress-deformed conditions of heavy loaded elements of new equipment of metal injection molding technologies

open access: yesMetalurgija, 2021
For the production of Metal Injection Molding (MIM) with the technology of long profiles, a pressing device and a multi-roll mill of a new design are proposed.
S. Mashekov   +4 more
doaj  

Research on and Application of Feature Recognition and Intelligent Retrieval Method for Multi-Component Alloy Powder Injection Molding Gear Based on Partition Templates

open access: yesMetals
The forming process of multi-alloy gears by metal powder injection molding is tedious, and the current design process mainly depends on the experience of designers, which seriously affects the product development cycle and forming quality.
Yan Kong   +3 more
doaj   +1 more source

Rheological Characterization of Powder Mixture Including a Space Holder and Its Application to Metal Injection Molding

open access: yesMetals, 2017
Metal injection molding (MIM) with the space holder technique is becoming one of the important fabrication methods for a net-shape production of micro-sized, porous, complex-shaped metal parts.
Sang June Park   +4 more
doaj   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

open access: yesAdvanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas   +6 more
wiley   +1 more source

Effect of Processing Route on the Microstructure and Mechanical Properties of Hot Work Tool Steel [PDF]

open access: yesMaterials Research, 2017
Powder metallurgy is a growing sector in industrial production, as it offers outstanding energy, cost and material savings in comparison with established processing routes such as casting.
Robert Besler   +4 more
doaj   +1 more source

Low cost 3D printing of metals using filled polymer pellets

open access: yesHardwareX, 2022
Nowadays, additive manufacturing of metallic materials is most often carried out using expensive and complex tools that leave the user with limited control and no possibility of modification.
Vincent Martin   +10 more
doaj   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

open access: yesAdvanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee   +6 more
wiley   +1 more source

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