Results 21 to 30 of about 2,407,907 (269)

Wear-adaptive optimization of in-process conditioning parameters during face plunge grinding of PcBN

open access: yesScientific Reports, 2022
Polycrystalline cubic boron nitride is a very hard material. Machining of this material is performed by grinding with diamond tools. Due to its high hardness, grinding tools are subjected to severe microscopic and macroscopic tool wear.
Berend Denkena   +2 more
doaj   +1 more source

Monitoring concept for structural integration of PZT-fiber arrays in metal sheets: a numerical and experimental study

open access: yesInternational Journal of Smart and Nano Materials, 2018
The technique joining by forming allows the structural integration of piezoceramic fibers into locally microstructured metal sheets without any elastic interlayers.
Welf-Guntram Drossel   +8 more
doaj   +1 more source

Punching of Ultra-High-Strength Spring Strips: Evolution of Cutting Edge Radius up to 1,000,000 Strokes for Three Punch Materials

open access: yesJournal of Manufacturing and Materials Processing, 2022
Punching of ultra-high-strength spring steel causes critical stresses in the tools. Pronounced wear and even spontaneous failure may occur. Wear of the punches influences the quality of the cutting surfaces of the blanked parts, which is predominantly ...
Sven Winter   +5 more
doaj   +1 more source

Design of a Flexible Skill-Based Process Control System Considering Process-Relevant Properties

open access: yesMachines
The Industry 4.0 research initiative strives to facilitate globally interconnected, flexible, and highly adaptable production systems. The use of skill-based control mechanisms such as OPC UA skills offers the prospect of a straightforward and flexible ...
Aleksandra Müller   +5 more
doaj   +1 more source

Detection and Identification of Nonlinear Contact Dynamics at Workpiece Clamping Positions

open access: yesJournal of Machine Engineering, 2023
All mechanical systems behave nonlinearly to a certain extent since there are always reasons for nonlinearities, such as friction and slip effects, in the actual structures.
Qi Feng   +3 more
doaj   +1 more source

Characterization of the Machine Behavior During Hollow Embossing Rolling of Metallic Bipolar Half Plates

open access: yesJournal of Machine Engineering, 2023
The hollow embossing rolling of thin-walled high precision components like metallic bipolar half plates is characterized by narrow process windows. Here, the knowledge of interaction between forming machine, roll and process is crucial for the process ...
Martin Wagner   +5 more
doaj   +1 more source

Investigation of the influence of multiple thermoforming processes on the properties of continuous fiber-reinforced thermoplastics to enable structural reuse

open access: yesSN Applied Sciences, 2023
Article highlights High potential was demonstrated for the new circular economy approach for thermoplastic composite materials. Secondary material with high mechanical properties can be obtained by reforming processes.
Justus von Freeden   +2 more
doaj   +1 more source

Adiabatic Blanking: Influence of Clearance, Impact Energy, and Velocity on the Blanked Surface

open access: yesJournal of Manufacturing and Materials Processing, 2021
In contrast to other cutting processes, adiabatic blanking typically features high blanking velocities (>3 m/s), which can lead to the formation of adiabatic shear bands in the blanking surface.
Sven Winter   +6 more
doaj   +1 more source

Promoting awareness of key resources for evidence-informed decision making in public health: An evaluation of a webinar series about knowledge translation methods and tools

open access: yesFrontiers in Public Health, 2016
The National Collaborating Centre for Methods and Tools (NCCMT) has developed several resources to support evidence-informed decision making – the process of distilling and disseminating best available evidence from research, context and experience – and
Jennifer eYost   +3 more
doaj   +1 more source

Monitoring of the Average Cutting Forces from Controller Signals using Artificial Neural Networks

open access: yesJournal of Machine Engineering, 2022
A new approach is presented to monitor the average cutting forces that are used for the calculation of the average cutting coefficients through neural networks using available controller signals. The cutting forces and the relevant controller signals are
Nevzat Bircan Bugdayci   +2 more
doaj   +1 more source

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