Results 81 to 90 of about 925,106 (268)

Surface integrity and process simulation in abrasive flow machining [PDF]

, 2022
S.608-619Trends like lightweight construction and functional integration lead to more and more complex workpieces. Often, these workpieces have to be finished after machining. Especially inner contours are difficult to finish.
Uhlmann, E., Roßkamp, S.
core  

Study on high efficient lapping of calcium fluoride crystal with fixed abrasive pad

Jin'gangshi yu moliao moju gongcheng, 2019
The high efficiency lapping of calcium fluoride crystal is the prerequisite of its ultra-precision polishing. Two kinds of abrasives, single crystal diamond and agglomerated diamond were chosen to prepare the fixed abrasive pad (FAP).
SHEN Gongming, GU Qunfei, WANG Kerong, TANG Chao, NIU Fengli, ZHU Yongwei   +5 more
doaj  

Effect of voltage on electrochemical mechanical polishing (ECMP) of 4H–SiC with fixed abrasives

Journal of Materials Research and Technology
This study employs the fixed agglomerated diamond abrasive pad (FADAP) to enhance the processing efficiency and surface quality of 4H–SiC. The effects of voltage on real-time current density, interface resistance, material removal rate (MRR), and surface
Pengfei Wu, Dongdong Zhao, Ning Liu, Chao Tang, Jun Li, Yongwei Zhu   +5 more
doaj   +1 more source

Alternating Shear Force of Respiration Regulates Cell Interactions of Fibroblasts and Macrophages to Promote Soft Tissue Integration of Chest Wall Polyetheretherketone Implants

Advanced Science, EarlyView.
Given that PEEK chest wall implants induce shear force at the soft tissue‐implant interface due to respiratory motion in the early in vivo post‐implantation stage. We confirmed that this mechanical stimulus triggers the PIEZO1/ITGB1/YAP1 signalling axis in L929 and the STAT6/p‐STAT6 pathway in RAW264.7, which in turn mediates adhesion and migration of ...
Rou Huang, Yangfan Huo, Jin Liu, Sida Liu, Minghai Ma, Hao Guo, Yuanquan Zhang, Xing Li, Xiao Liang, Jiawei Xiu, Ying Sun, Lijun Huang, Xiaolong Yan, Weiwei Wu, Lei Wang   +14 more
wiley   +1 more source

A study of the wear process related to twin-screw extruders [PDF]

, 1996
Extruders are used in a wide range of process industries and high reliability is essential if cost effective manufacturing is to be maintained. A critical part of twin-screw extruders is the barrel that must withstand many different wear and corrosion ...
Grigoroudis, K.
core  

Investigation of Semi-Fixed Abrasive Plate Wear Characteristics [PDF]

, 2010
In order to reduce or eliminate the surface defects caused by abrasive grains and improve the efficiency of ultra-precision processing, the technique of semi-fixed machining has been proposed for machining advanced ceramics.
Zhi Wei Wang, Qian Fa Deng, Ping Zhao, Ju Long Yuan, Wei Hang, Bing Hai Lv   +5 more
core   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Abrasive peeling of pumpkin [PDF]

, 2007
This paper presents new abrasive peeling methods for the pumpkin. The design of two innovative peeling devices, called abrasive pads and abrasive disks, are aimed at evenly peeling the varieties of pumpkin with uneven surfaces (i.e.
Emadi, Bagher, Yarlagadda, Prasad K., Kosse, Vladis   +2 more
core   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

新しいCMP用固定砥粒形ポリシングパッドの開発研究 [PDF]

, 2009
Anew fixed abrasive-type Polishing Pad for CMP of semiconductor device oxide layer like as lLD and STI is examined. The new type polishing pad is composed two thin layers which are a Ceria fixed abrasive and polymer layer, arranged in a line ...
榊原, 晋, 土肥, 俊郎, 富永, 茂
core   +1 more source