High-Performance Measurements for Programming and Controlling Maintenance of Surface Characteristics: Operational Systems in Use on Italian Motorways

2009 ◽  
pp. 305-305-22 ◽  
Author(s):  
G Camomilla ◽  
M Malgarini ◽  
G Peroni
Keyword(s):  
High Performance ◽  
Surface Characteristics ◽  
Performance Measurements ◽  
Operational Systems

Solution to Inverse Problem of Manufacturing by Surface Modification With Controllable Surface Integrity Correlated to Performance: A Case Study of Thermally Sprayed Coatings for Wear Performance

2017 ◽  
Vol 139 (6) ◽  
Author(s):  
X. P. Zhu ◽  
P. C. Du ◽  
Y. Meng ◽  
M. K. Lei ◽  
D. M. Guo
Keyword(s):  
Inverse Problem ◽  
Surface Modification ◽  
Surface Integrity ◽  
High Performance ◽  
Surface Characteristics ◽  
Spray Angle ◽  
Functional Surface ◽  
Machining Processes ◽  
Wear Performance ◽  
Surface Features

Inverse problem of manufacturing is studied under a framework of high performance manufacturing of components with functional surface layer, where controllable generation of surface integrity is emphasized due to its pivotal role determining final performance. Surface modification techniques capable of controlling surface integrity are utilized to verify such a framework of manufacturing, by which the surface integrity desired for a high performance can be more effectively achieved as reducing the material and geometry constraints of manufacturing otherwise unobtainable during conventional machining processes. Here, thermal spraying of WC–Ni coatings is employed to coat stainless steel components for water-lubricated wear applications, on which a strategy for direct problem from process to performance is implemented with surface integrity adjustable through spray angle and inert N2 shielding. Subsequently, multiple surface integrity parameters can be evaluated to identify the major ones responsible for wear performance by elucidating the wear mechanism, involving surface features (coating porosity and WC phase retention) and surface characteristics (microhardness, elastic modulus, and toughness). The surface features predominantly determine tribological behaviors of coatings in combination with the surface characteristics that are intrinsically associated with the surface features. Consequently, the spray process with improved N2 shielding is designed according to the desired surface integrity parameters for higher wear resistance. It is demonstrated that the correlations from processes to performance could be fully understood and established via controllable surface integrity, facilitating solution to inverse problem of manufacturing, i.e., realization of a material and geometry integrated manufacturing.

scholarly journals JAliEn: the new ALICE high-performance and high-scalability Grid framework

2019 ◽  
Vol 214 ◽  
pp. 03037
Author(s):  
M. Martinez Pedreira ◽  
C. Grigoras ◽  
V. Yurchenko
Keyword(s):  
Data Processing ◽  
High Performance ◽  
Data Access ◽  
Performance Measurements ◽  
Alice Experiment ◽  
Grid Middleware ◽  
Software Upgrades ◽  
Order Of Magnitude ◽  
And Performance ◽  
And Storage

The ALICE experiment will undergo extensive hardware and software upgrades for the LHC Run3. This translates in significant increase of the CPU and storage resources required for data processing, and at the same time the data access rates will grow linearly with the amount of resources. JAliEn (Java ALICE Environment) is the new Grid middleware designed to scale-out horizontally to fulfil the computing needs of the upgrade, and at the same time to modernize all parts of the distributed system software. This paper will present the architecture of the JAliEn framework, the technologies used and performance measurements. This work will also describe the next generation solution that will replace our main database backend, the AliEn File Catalogue. The catalogue is an integral part of the system, containing the metadata of all files written to the distributed Grid storage and also provides powerful search and data manipulation tools. As for JAliEn, the focus has been put onto horizontal scalability, with the aim to handle near exascale data volumes and order of magnitude more workload than the currently used Grid middleware. Lastly, this contribution will present how JAliEn manages the increased complexity of the tasks associated with the new ALICE data processing and analysis framework (ALFA) and multi-core environments.

The TOFOR Neutron Spectrometer For High-Performance Measurements of D Plasma Fuel Ion Properties

2008 ◽  
Author(s):  
M. Gatu Johnson ◽  
L. Giacomelli ◽  
A. Hjalmarsson ◽  
M. Weiszflog ◽  
E. Andersson Sundén ◽  
...  
Keyword(s):  
High Performance ◽  
Performance Measurements ◽  
Neutron Spectrometer

scholarly journals Kemari: A Portable High Performance Fortran System for Distributed Memory Parallel Processors

1997 ◽  
Vol 6 (1) ◽  
pp. 41-58 ◽  
Author(s):  
T. Kamachi ◽  
A. MÜller ◽  
R. RÜhl ◽  
Y. Seo ◽  
K. Suehiro ◽  
...  
Keyword(s):  
Message Passing ◽  
High Performance ◽  
Message Passing Interface ◽  
Data Distribution ◽  
Programming Environment ◽  
Performance Measurements ◽  
High Performance Fortran ◽  
Additional Control ◽  
Compilation Process ◽  
Structured Problems

We have developed a compilation system which extends High Performance Fortran (HPF) in various aspects. We support the parallelization of well-structured problems with loop distribution and alignment directives similar to HPF's data distribution directives. Such directives give both additional control to the user and simplify the compilation process. For the support of unstructured problems, we provide directives for dynamic data distribution through user-defined mappings. The compiler also allows integration of message-passing interface (MPI) primitives. The system is part of a complete programming environment which also comprises a parallel debugger and a performance monitor and analyzer. After an overview of the compiler, we describe the language extensions and related compilation mechanisms in detail. Performance measurements demonstrate the compiler's applicability to a variety of application classes.

Parallel CFD-DEM for Fluid-Particle Systems

Volume 3 ◽  
2004 ◽  
Author(s):  
Xiang Zhao ◽  
Jun Wang ◽  
Sijun Zhang
Keyword(s):  
Parallel Algorithm ◽  
High Performance ◽  
Particle Systems ◽  
Solid Particles ◽  
Fluid Particle ◽  
Particle Flow ◽  
Performance Measurements ◽  
Discrete Flow ◽  
Computational Fluid Dynamics Cfd ◽  
Computationally Intensive

This paper presents numerical methods and parallel algorithms for modeling the fluid-particle flow in gas fluidization of multi-sized particles. This work involves combined Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) to describe continuum flow of fluids and discrete flow of solid particles, respectively. Such simulations are extremely computationally intensive. To meet the challenge and produce high-performance, state-of-the-art computational tools capable of simulating the industrial fluid-particle systems, the parallel computing techniques are used with special emphasis of domain decomposition, dynamic load balancing and parallel algorithm. A study of the implementation of a parallel algorithm is also presented, together with performance measurements on PC cluster machines. The results obtained validate not only the parallel algorithm, but also the potential role of such computer systems in industrial fluid-particle flow simulations.

scholarly journals Effect of shell structure of Ti-immobilized metal ion affinity chromatography core-shell magnetic particles for phosphopeptide enrichment

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Anna Laura Capriotti ◽  
Michela Antonelli ◽  
Diego Antonioli ◽  
Chiara Cavaliere ◽  
Riccardo Chiarcos ◽  
...  
Keyword(s):  
Metal Ion ◽  
High Performance ◽  
Magnetic Particles ◽  
Iminodiacetic Acid ◽  
Surface Characteristics ◽  
Magnetic Core ◽  
Material Surface ◽  
Water Contact ◽  
Grand Average ◽  
Phosphorylated Peptides

Abstract Magnetic materials in sample preparation for shotgun phosphoproteomics offer several advantages over conventional systems, as the enrichment can be achieved directly in solution, but they still suffer from some drawbacks, due to limited stability and selectivity, which is supposed to be affected by the hydrophilicity of the polymeric supports used for cation immobilization. The paper describes the development of an improved magnetic material with increased stability, thanks to a two-step covering of the magnetic core, for the enrichment of phosphopeptides in biological samples. Four materials were prepared featuring a polymeric shell with tunable hydrophilicity, obtained by “grafting from” polymerization of glycidyl methacrylate with 0–8.3% of polyethylene glycol methacrylate (PEGMA), the latter used to modulate the hydrophilicity of the material surface. Finally, the materials were functionalized with iminodiacetic acid for Ti4+ ion immobilization. The materials were analyzed for their composition by a combination of CHN elemental analysis and thermogravimetric analysis, also hyphenated to gas chromatography and mass spectrometric detection. Surface characteristics were evaluated by water contact angle measurements, scanning electron microscopy and energy dispersive X-ray spectrometry. These materials were applied to the enrichment of phosphopeptides from yeast protein digests. Peptides were identified by proteomics techniques using nano-high performance liquid chromatography coupled to mass spectrometry and bioinformatics. Qualitatively the peptides identified by the four systems were comparable, with 1606–1693 phosphopeptide identifications and a selectivity of 47–54% for all materials. The physico-chemical features of the identified peptides were also the same for the four materials. In particular, the grand average of hydropathy index values indicated that the enriched phosphopeptides were hydrophilic (ca. 90%), and only some co-enriched non-phosphorylated peptides were hydrophobic (21–28%), regardless of the material used for enrichment. Peptides had a pI ≤ 7, which indicated a well-known bias for acidic peptides binding, attributed to the interaction with the metal center itself. The results indicated that the enrichment of phosphopeptides and the co-enrichment of non-phosphorylated peptides is mainly driven by interactions with Ti4+ and does not depend on the amount of PEGMA chains in the polymer shell.

Circumferentially Non-Uniform Flow in the Rear Stage of a Multistage Compressor

2015 ◽  
Author(s):  
Simon Stummann ◽  
Peter Jeschke ◽  
Timo Metzler
Keyword(s):  
High Performance ◽  
Uniform Flow ◽  
Performance Measurements ◽  
Wake Interference ◽  
Unsteady Wake ◽  
Numerical Effort ◽  
Wake Interaction ◽  
Compressor Performance ◽  
Multistage Compressor ◽  
Main Effects

Full annulus midspan URANS simulations are performed to examine wake interaction for rows with different blade counts. The amount of non-uniform flow is studied particularly in the rear stages of a 3.5 stage compressor with a different blade count at all rows. A high-performance cluster was used for the required full annulus URANS simulations. Due to the high numerical effort, three representative operating points are investigated in quasi-3D. The simulations are performed at a midspan stream tube which take into consideration the contracting duct of the compressor. The results indicate two main effects: wake-wake interference and wake-airfoil interaction. Both effects are related to the particular clocking position, which affect each other accordingly. At the aerodynamic design point, non-uniform flow at the rear stage has a significant impact. Intensified unsteady wake-airfoil interaction near the surge line causes circumferential unequal flow separation. Close to choke, the shock strength depends on the Mach number, hence jet and wake inflow affects different losses. The frequently used assumption of periodic flow disregards the deviations shown. Based on the numerical results, the accuracy of performance measurements is presented. Non-uniform flow causes inaccuracy of more than one percentage point for stage and compressor performance measurements, which is more than commonly requested. In summary, interaction of rows with dissimilar blade count leads to non-uniform flow in rear stages that needs to be considered in performance measurements.

Correlation of Process Parameters to Surface Integrity Responsible for Wear Resistance of HVOF Sprayed WC-Ni Coatings

2017 ◽  
Author(s):  
X. P. Zhu ◽  
P. C. Du ◽  
Y. Meng ◽  
M. K. Lei ◽  
D. M. Guo
Keyword(s):  
Fracture Toughness ◽  
Stainless Steel ◽  
Wear Resistance ◽  
Elastic Modulus ◽  
Process Parameters ◽  
Surface Integrity ◽  
High Performance ◽  
Surface Characteristics ◽  
Wear Performance ◽  
Final Performance

Surface integrity of high performance components has a profound influence on the final performance. Therefore, surface integrity is a key point for realizing high performance manufacturing by which manufacture processes and parameters can be pre-selected according to a required functional performance of components, i.e., solving inverse problem of manufacturing, as long as correlations could be established respectively for between processes and surface integrity, and between surface integrity and performance. However, in practice it is still difficult in correlating processes to performance through surface integrity, due to the material and geometry constraints hindering achievability of a desired surface integrity during conventional manufacturing as well as the complex influence of multiple surface integrity parameters on a final performance. In this study, thermally sprayed WC-10Ni coatings onto stainless steel using high velocity oxy-fuel (HVOF) spraying process are investigated to identify the surface integrity predominantly determining the water-lubricated wear performance of coated steel, and then to correlate it to process parameters. The controllable surface integrity facilitates identifying responsible surface integrity parameters for a required high performance, and subsequently deriving necessary process parameters for achieving the desired responsible surface integrity. Specifically, HVOF process parameters are adjusted by changing the oxygen-to-fuel (O/F) ratio to control thermal and mechanical processing loads, i.e. temperature of heated in-flight spraying powders and impact velocity of the molten splats onto stainless steel to form the coatings. Surface features including porosity and phase structure, and surface characteristics including hardness, elastic modulus, and fracture toughness were studied with respect to the wear performance. The porosity and WC phase composition of coatings are identified responsible for the wear performance, as two essential surface integrity parameters that in turn greatly affect the surface characteristics including coating hardness, elastic modulus and fracture toughness. Consequently, the process parameter O/F is feasibly correlated to wear resistance through the responsible surface integrity parameters, as elucidating the coating formation mechanism of influence of particle velocity and temperature on the coating porosity and WC decomposition.

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