Results 91 to 100 of about 5,320,548 (290)

Prediction of Thread Rolling Tools Wear Resistance

Procedia Engineering, 2017
Abstract This article describes a method developed to predict the wear resistance of thread rolling tools, which is based on the assumptions of the energy theory of wear applicable to solids. Through experiments, the authors defined the energy intensity of wear for the 30CrNiMo8 steel at room temperature and at 400°C and 800°C.
O.S. Zhelezkov, S.A. Malakanov, V.V. Semashko   +2 more
openaire   +1 more source

Out‐of‐Plane Strain‐Decoupled Architecture for High‐Fill‐Factor Stretchable OLED Displays

Advanced Functional Materials, EarlyView.
A vertically decoupled multilayer SOLED architecture separates emissive pixel islands from deformable interconnects, allowing low‐modulus elastomeric layers to accommodate applied strain and suppress strain transfer to the OLED region. This design, combined with transparent hybrid encapsulation, enables a high fill factor (∼75%), stretchability ...
Young Hyun Son, Kyung Cheol Choi, Jeong Hyun Kwon   +2 more
wiley   +1 more source

Multi-Physics Monotone Score Transport for Unsupervised Domain Adaptation of Continuous Tool Wear Prediction

Sensors
Cross-material continuous tool wear prediction is difficult because a model must preserve the physical wear scale, not only align high-dimensional sensor features.
Enhao Cui, Runshan Hu, Weina Zhang, Zihan Fei, Chenyang Zhu   +4 more
doaj   +1 more source

Tool Wear Modeling in Drilling Process of AISI1020 and AISI8620 Using Genetic Programming [PDF]

International Journal of Advanced Design and Manufacturing Technology, 2017
In manufacturing industry, it has been acknowledged that tool wear prediction has an important role in higher quality of products and acceptable efficiency.
Vahid Zakeri Mehrabad, Vahid Pourmostaghimi   +1 more
doaj  

Lone‐Pair‐Induced Lattice Distortion in Lead‐Free Hybrid Perovskites for High‐Performance Nanogenerators

Advanced Functional Materials, EarlyView.
A lead‐free tin‐based hybrid perovskite is designed in which stereochemically active lone‐pair electrons on tin distort the crystal lattice and break its symmetry. Blended into a flexible polymer, the material converts pressure into electricity at milliwatt‐scale power density and continues working far below freezing, powering a commercial wristwatch ...
Majid Haji Bagheri, Asif Abdullah Khan, Md Fahim Al Fattah, Mahmoud Almadhoun, Shamaila Shahzadi, Aixi Pan, Md Soyaeb Hasan, Henry Wu, Arash Aghigh, Bhawna Bhawna, François Légaré, Vivek Maheshwari, Dayan Ban   +12 more
wiley   +1 more source

Thermodynamic modeling framework for prediction of tool wear and tool protection phenomena in machining

, 2021
Chemical, oxidational and diffusional interactions between the tool, chip and cutting environment are known tool wear mechanisms in machining. However, the interaction between tool, coating, workpiece, coolant and atmospheric oxygen can, under favorable ...
Bjerke, Axel,, Larsson, Henrik,, Norgren, Susanne,, Lenrick, Filip,, Bushlya, Volodymyr,, Lenrick, Filip, Bushlya, Volodymyr, Bjork, Thomas,, M'Saoubi, Rachid,, Hrechuk, Andrii, Norgren, Susanne, Markstrom, Andreas,, Hrechuk, Andrii,, Björk, Thomas, Larsson, Henrik, Markström, Andreas, M'Saoubi, Rachid, Bjerke, Axel, Lund University., Susanne Norgren, Andreas Markström, Thomas Björk, Filip Lenrick, Henrik Larsson, Andrii Hrechuk, Rachid M'Saoubi, Volodymyr Bushlya, Axel Bjerke   +27 more
core   +1 more source

Influence of Tool Wear and Workpiece Diameter on Surface Quality and Prediction of Surface Roughness in Turning

Metals
In turning, tool wear and cutting vibration are inevitable, which have great influence on surface quality. Analyzing the influence mechanism of tool wear and cutting vibration on surface quality is important to achieve the accurate prediction of surface ...
Chunxiao Li, Guoyong Zhao, Dong Ji, Guangteng Zhang, Limin Liu, Fandi Zeng, Zhihuan Zhao   +6 more
doaj   +1 more source

Stochastic Tool Wear Prediction for Sustainable Manufacturing

Procedia CIRP, 2016
AbstractTo provide scientific support for decision-making in critical applications such as maintenance scheduling and inventory management, tool wear monitoring and service life prediction are of significance to achieving sustainable manufacturing. Past research typically assumed time-invariant machining settings in modeling wear progression, hence is ...
Wang, Peng, Gao, Robert X.
openaire   +1 more source

Beyond Thin Film Limits—Superhard and Hydrogen‐Free Amorphous Carbon Coatings With Over 100 µm Thickness

Advanced Functional Materials, EarlyView.
For the first time, an extreme‐thick laser‐arc PVD ta‐C (DLC) coating exceeding 100 µm is demonstrated, opening up new possibilities for ultra‐high load bearing capacity. This superhard amorphous carbon architecture combines >50% sp3 bonding, robust adhesion and self‐supporting performance, shielding substrates from plastic flow under extreme contact ...
Martin Zawischa, Frank Kaulfuß, Stefan Makowski, Volker Weihnacht   +3 more
wiley   +1 more source

Cutting Tool Wear Minimization in Machining Operations: A Review

Lubricants
Cutting tool wear significantly influences machining performance, surface quality, and manufacturing cost. Proper minimization of cutting tool wear will result in enhanced life of the cutting tool, surface integrity, precision, and sustainability of the ...
Mohsen Soori
doaj   +1 more source