Crack Behavior of Fe-Based Coating by Plasma Cladding

2011 ◽  
Vol 109 ◽  
pp. 145-149
Author(s):  
Jun Bo Liu ◽  
Li Mei Wang ◽  
Bao Xin Huang
Keyword(s):  
Surface State ◽  
Processing Parameter ◽  
Orthogonal Comparison ◽  
Crack Behavior ◽  
Plasma Cladding ◽  
State Processing

On the base of orthogonal comparison tests, influences of many kinds of factors on plasma cladding crack sensibility were studied. The results indicate that substrate and its surface state, processing parameter and components of plasma cladding coating have great effects on crack sensibility of plasma cladding coating. Through changing these factors, it is possible to reduce cracks and expand ranges of applications of this technology.

Methods of essential variables determination for the Earth’s surface state assessing

2018 ◽  
Vol 24 (4) ◽  
pp. 26-40 ◽  
Author(s):  
B.Ya. YAILYMOV ◽  
◽  
M.S. LAVRENIUK ◽  
A.Yu. SHELESTOV ◽  
A.V. KOLOTII ◽  
...  
Keyword(s):  
Surface State

Resonances in the photoemission cross section of a surface state: Results for Ag(111)

1987 ◽  
Vol 35 (8) ◽  
pp. 3728-3733 ◽  
Author(s):  
T. C. Hsieh ◽  
P. John ◽  
T. Miller ◽  
T.-C. Chiang
Keyword(s):  
Cross Section ◽  
Surface State

scholarly journals Warpage Optimisation Using Recycled Polycar-bonates (PC) on Front Panel Housing

Materials ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1416
Author(s):  
Nur Aisyah Miza Ahmad Tamizi ◽  
Shayfull Zamree Abd Rahim ◽  
Abdellah El-hadj Abdellah ◽  
Mohd Mustafa Al Bakri Abdullah ◽  
Marcin Nabiałek ◽  
...  
Keyword(s):  
Simulation Analysis ◽  
Processing Parameters ◽  
Front Panel ◽  
Processing Parameter ◽  
Mechanical Recycling ◽  
Great Opportunity ◽  
Average Value ◽  
Optimal Processing ◽  
Materials Used ◽  
Optimisation Methods

Many studies have been done using recycled waste materials to minimise environmental problems. It is a great opportunity to explore mechanical recycling and the use of recycled and virgin blend as a material to produce new products with minimum defects. In this study, appropriate processing parameters were considered to mould the front panel housing part using R0% (virgin), R30% (30% virgin: 70% recycled), R40% (40% virgin: 60% recycled) and R50% (50% virgin: 50% recycled) of Polycarbonate (PC). The manufacturing ability and quality during preliminary stage can be predicted through simulation analysis using Autodesk Moldflow Insight 2012 software. The recommended processing parameters and values of warpage in x and y directions can also be obtained using this software. No value of warpage was obtained from simulation studies for x direction on the front panel housing. Therefore, this study only focused on reducing the warpage in the y direction. Response Surface Methodology (RSM) and Genetic Algorithm (GA) optimisation methods were used to find the optimal processing parameters. As the results, the optimal ratio of recycled PC material was found to be R30%, followed by R40% and R50% materials using RSM and GA methods as compared to the average value of warpage on the moulded part using R0%. The most influential processing parameter that contributed to warpage defect was packing pressure for all materials used in this study.

scholarly journals DEEPGENTM—A Novel Variant Calling Assay for Low Frequency Variants

Genes ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 507
Author(s):  
Bernd Timo Hermann ◽  
Sebastian Pfeil ◽  
Nicole Groenke ◽  
Samuel Schaible ◽  
Robert Kunze ◽  
...  
Keyword(s):  
Cancer Detection ◽  
Genetic Variants ◽  
Liquid Biopsy ◽  
Hot Spot ◽  
Treatment Success ◽  
Low Frequency ◽  
Variant Calling ◽  
Subsequent Treatment ◽  
Precision Oncology ◽  
Orthogonal Comparison

Detection of genetic variants in clinically relevant genomic hot-spot regions has become a promising application of next-generation sequencing technology in precision oncology. Effective personalized diagnostics requires the detection of variants with often very low frequencies. This can be achieved by targeted, short-read sequencing that provides high sequencing depths. However, rare genetic variants can contain crucial information for early cancer detection and subsequent treatment success, an inevitable level of background noise usually limits the accuracy of low frequency variant calling assays. To address this challenge, we developed DEEPGENTM, a variant calling assay intended for the detection of low frequency variants within liquid biopsy samples. We processed reference samples with validated mutations of known frequencies (0%–0.5%) to determine DEEPGENTM’s performance and minimal input requirements. Our findings confirm DEEPGENTM’s effectiveness in discriminating between signal and noise down to 0.09% variant allele frequency and an LOD(90) at 0.18%. A superior sensitivity was also confirmed by orthogonal comparison to a commercially available liquid biopsy-based assay for cancer detection.

scholarly journals Magnetic order and surface state gap in (Sb0.95Cr0.05)2 Te3

2021 ◽  
Vol 103 (6) ◽  
Author(s):  
T. K. Dalui ◽  
P. K. Ghose ◽  
S. Majumdar ◽  
S. K. Mahatha ◽  
F. Diekmann ◽  
...  
Keyword(s):  
Surface State ◽  
Magnetic Order
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