183 research outputs found
Effects of Composition and Solid Solution Strengthening on the Compression Strength of Iron-Based Hardfacing Alloys
Three iron-based hardfacing alloys were fabricated to have a tungsten strengthened matrix with varying compositions of 10-15, 20, and 30 wt% tungsten/chrome boride content. The fourth sample was fabricated to have a molybdenum solid solution strengthened matrix with 10-15 wt% W/Cr Boride content. This project focuses on the compressive strength of iron-based hardfacing alloys. Preliminary compression tests with Scoperta iron-based hardfacing alloys showed a need for sample dimension reduction due to compressive loads that could not be met by a 50 kN maximum capacity mechanical testing system. The preliminary tests showed compressive strengths exceeding 2340 MPa. Samples of the current alloys were electro discharge machined (EDM) to cylinders with 3 mm diameters and 2.41 mm heights. Hardened 440C stainless steel platens were used to compress the samples in a compression testing setup using a 50 kN capacity mechanical testing system. The molybdenum solid solution strengthened hardfacing alloy with 10-15 wt% W/Cr Boride content showed an average compressive strength of 4346 MPa, while the tungsten strengthened matrix with the same 10-15 wt% W/Cr Boride content showed an average compressive strength of 4107 MPa. The 20 wt% W/Cr Boride content alloy showed a compressive strength of 3378 MPa, and the 30 wt% W/Cr Boride content alloy showed an average compressive strength of 2713 MPa. Each of the data sets was statistically significantly different with a 95% confidence interval
Characterizing Speed Performance of Multi-Agent Reinforcement Learning
Multi-Agent Reinforcement Learning (MARL) has achieved significant success in
large-scale AI systems and big-data applications such as smart grids,
surveillance, etc. Existing advancements in MARL algorithms focus on improving
the rewards obtained by introducing various mechanisms for inter-agent
cooperation. However, these optimizations are usually compute- and
memory-intensive, thus leading to suboptimal speed performance in end-to-end
training time. In this work, we analyze the speed performance (i.e.,
latency-bounded throughput) as the key metric in MARL implementations.
Specifically, we first introduce a taxonomy of MARL algorithms from an
acceleration perspective categorized by (1) training scheme and (2)
communication method. Using our taxonomy, we identify three state-of-the-art
MARL algorithms - Multi-Agent Deep Deterministic Policy Gradient (MADDPG),
Target-oriented Multi-agent Communication and Cooperation (ToM2C), and
Networked Multi-Agent RL (NeurComm) - as target benchmark algorithms, and
provide a systematic analysis of their performance bottlenecks on a homogeneous
multi-core CPU platform. We justify the need for MARL latency-bounded
throughput to be a key performance metric in future literature while also
addressing opportunities for parallelization and acceleration
Chirped pulse Raman amplification in plasma: high gain measurements
High power short pulse lasers are usually based on chirped pulse amplification (CPA), where a frequency chirped and temporarily stretched ``seed'' pulse is amplified by a broad-bandwidth solid state medium, which is usually pumped by a monochromatic ``pump'' laser. Here, we demonstrate the feasibility of using chirped pulse Raman amplification (CPRA) as a means of amplifying short pulses in plasma. In this scheme, a short seed pulse is amplified by a stretched and chirped pump pulse through Raman backscattering in a plasma channel. Unlike conventional CPA, each spectral component of the seed is amplified at different longitudinal positions determined by the resonance of the seed, pump and plasma wave, which excites a density echelon that acts as a "chirped'" mirror and simultaneously backscatters and compresses the pump. Experimental evidence shows that it has potential as an ultra-broad bandwidth linear amplifier which dispenses with the need for large compressor gratings
Noise-related polarization dynamics for femto and picosecond pulses in normal dispersion fibers
We report how the complex intra-pulse polarization dynamics of coherent optical wavebreaking and incoherent Raman amplification processes in all-normal dispersion (ANDi) fibers vary for femto and picosecond pump pulses. Using high temporal resolution vector supercontinuum simulations, we identify deterministic polarization dynamics caused by wavebreaking and self-phase modulation for femtosecond pulses and quasi-chaotic polarization evolution driven by Raman amplification of quantum noise for picosecond pulses. In contrast to cross-phase modulation instability, the Raman-based polarization noise has no power threshold and is reduced by aligning the higher energy polarization component with the lower index axis of the fiber. The degree of polarization stability is quantified using new time domain parameters that build on the spectrally averaged degree of coherence used in supercontinuum research to quantify the output spectral stability. We show that the spectral coherence is intrinsically linked to polarization noise, and that the noise will occur in both polarization maintaining (PM) and non-PM fibers, spanning a broad range of pulse energies, durations, and fiber birefringence values. This analysis provides an in-depth understanding of the nonlinear polarization dynamics associated with coherent and incoherent propagation in ANDi fibers
Polymer chain dynamics in epoxy based composites as investigated by broadband dielectric spectroscopy
Epoxy networks of the diglycidyl ether of bisphenol A (DGEBA) were prepared using 3,3ā²- and 4,4ā²-diaminodiphenyl sulfone isomer crosslinkers. Secondary relaxations and the glass transitions of resultant networks were probed using broadband dielectric spectroscopy (BDS). A sub-TgĪ³ relaxation peak for both networks shifts to higher frequencies (f) with increasing temperature in Arrhenius fashion, both processes having the same activation energy and being assigned to phenyl ring flipping in DGEBA chains. A Ī² relaxation is assigned to local motions of dipoles that were created during crosslinking reactions. 4,4ā²-based networks exhibited higher Tg relative to 3,3ā²-based networks as per dynamic mechanical as well as BDS analyses. The VogelāFulcherāTammannāHesse equation fitted well to relaxation time vs. temperature data and comparison of Vogel temperatures suggests lower free volume per mass for the 3,3ā²-based network. The KramersāKrƶnig transformation was used to directly calculate dc-free Éā³ vs. f data from experimental Éā² vs. f data. Distribution of relaxation times (DRT) curves are bi-modal for the 3,3ā²-crosslinked resin suggesting large-scale microstructural heterogeneity as opposed to homogeneity for the 4,4ā²-based network whose DRT consists of a single peak.U.S. Office of Naval Research, Award N00014-07-1-1057 and fellowship support from the Department of Education Graduate Assistance in Areas of National Need Award P200A090066. Qatar University's Center for Advanced Materials' Start-Up grant
Hepatitis B vaccination induces mucosal antibody responses in the female genital tract, indicating potential mechanisms of protection against infection
Vaccines against hepatitis B virus confer effective protection. ELISA was developed to test for specific antibodies in female genital tract secretions. Anti-HBs IgG and IgA were detected in the cervico-vaginal secretions of women following Hepatitis B vaccination, indicating a potential genital tract role for neutralising antibodies against sexually transmitted HBV
The SCAPA LWFA beamline
The Scottish Centre for the Application of Plasma based Accelerators situated at the University of Strathclyde in Glasgow, UK, is coming online. It comprises three radiation shielded concrete bunkers housing a total of seven beamlines and interaction chambers, each driven by one of a pair of high power Ti sapphire laser systems a 350 TW and a 40 TW
Prevailing Arguments and Types of Conclusions of Parent\u2013Child Argumentation
This chapter examines the types of arguments used most often by parents and children and the different types of conclusions of their argumentative discussions. The conceptual tool adopted for the analysis is based on the integration of the pragma-dialectical ideal model of a critical discussion (van Eemeren & Grootendorst, 2004) with the Argumentum Model of Topics (Rigotti & Greco Morasso, 2019). The integration of these two tools of analysis permits to reconstruct the inferential configuration of the arguments used by parents and children and to identify the types of conclusions of their argumentative discussions. Exemplary argumentative sequences that bring to light the results obtained through the qualitative analysis of a larger corpus of argumentative discussions between parents and children are presented and discussed
Gamma-ray production from resonant betatron oscillations of accelerated electrons in a plasma wake
The laser-plasma wakefield accelerator is a novel ultra-compact particle accelerator. A very intense laser pulse focused onto plasma can excites plasma density waves. Electrons surfing these waves can be accelerated to very high energies with unprecedented accelerating gradients in excess of 1 GV/cm. While accelerating, electrons undergo transverse betatron oscillations and emit synchrotron-like x-ray radiation into a narrow on-axis cone, which is enhanced when electrons interact with the electromagnetic field of the laser. In this case, the laser can resonantly drive the electron motion, lading to direct laser acceleration. This occurs when the betatron frequency matches the Doppler down-shifted frequency of the laser. As a consequence, the number of photons emitted is strongly enhanced and the critical photon energy is increases to 100ās of ke
Agency culture, constitutional provisions and entrepreneurship: a cross-country analysis
Substantial and systematic cross-country variation in entrepreneurship rates has been found in vari- ous studies. We attempt to explain such differences focusing on the interaction between institutional factors and population psychological characteristics. Constitutional provisions supporting economic freedom are our measure of the institutional context, whereas we proxy psychological characteristics with a countryās endowment of agency culture. We apply an IV-GMM treatment to deal with endoge- 20 neity to a data set comprising 86 countries over the period 2004ā2013, and we control for de facto vari- ables and other factors that are likely to influence entrepreneurship. Our results demonstrate that agency culture is indeed an important predictor of entrepreneurship and that this effect is moderated
by constitutional provisions supporting economic freedom. In particular, the impact of agency culture
on entrepreneurship becomes stronger as a country expands the constitutional protection of eco- 25 nomic rights
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