• Video
  • 18-Jun-2012 12:18 EDT

A Study of PGM-Free Oxidation Catalyst YMnO3 for Diesel Exhaust Aftertreatment


Purchase Required to View Video

Short Preview Below

Manganese oxides show high catalytic activity for CO and HC oxidation without including platinum group metals (PGM). However, there are issues with both thermal stability and resistance to sulfur poisoning. We have studied perovskite-type YMnO3 (YMO) with the aim of simultaneously achieving both activity and durability. This paper describes the oxidation activity of PGM-free Ag/i-YMO, which is silver supported on improved-YMO (i-YMO). The Ag/i-YMO was obtained by the following two methods. First, Mn4+ ratio and specific surface area of YMO were increased by optimizing composition and preparation method. Second, the optimum amount of silver was supported on i-YMO. In model gas tests and engine bench tests, the Ag/i-YMO catalyst showed the same level of activity as that of the conventional Pt/?-Al2O3 (Pt = 3.0 g/L). In addition, there was no degradation with respect to either heat treatment (700°C, 90 h, air) or sulfur treatment (600°C to 200°C, total 60 h, 30 ppm SO2). X-ray photoelectron spectroscopy (XPS), X-ray absorption fine-structure spectroscopy (XAFS) and transmission electron microscope (TEM) analysis showed that the silver in Ag/i-YMO was not substituted into the i-YMO, and existed as metallic silver with a particle size of 3 nm to 80 nm on the i-YMO surface. First-principles calculation was performed for the bulk model to investigate the catalytic activity of the silver at the interface between these silver particles and the i-YMO. The results showed that the d-band center of this silver is close to that of PGM. The oxidation activity of Ag/i-YMO was mainly enhanced by this highly active silver.

Keita Ishizaki, Honda R&D Co., Ltd.

Purchase to View
Learn More
Technical Paper / Journal Article
TECH PPR 2012 CONG SP-2324
HTML for Linking to Page
Page URL
Rate It
No ratings yet

View More Video

Zero-dimensional, one-dimensional, and quasi-dimensional models for simulation of SI and CI engines with respect to: engine breathing and boosting; SI combustion and emissions; CI combustion and emissions; fundamentals of engine thermodynamics; thermal management; mechanical and lubrication systems; system level models for controls; system level models for vehicle fuel economy and emissions predictions. Presenter Fabio Bozza, Universita di Napoli
The Java language is now the most popular programming language for the creation of new software capabilities. Its popularity has resulted in signficant economies of scale, with Java adopted as the primary language of instructional within many university curriculums, an abundance of reusable Java software components and Java software development tools available both from commercial suppliers and as open source technology, a large pool of competent Java developers from which to recruit staff, and a general willingness by senior staff software engineers to invest the effort required to learn this new programming language and technology. This talk describes the special approaches recommended for the use of Java in safety-critical deployments. The talk surveys the current state of the draft JSR-302 Safety Critical Java Specification and describes related experiences with commercially available technologies based on the constraints of early JSR-302 design discussions.
Impact of driving patterns on fuel economy is significant in hybrid electric vehicles (HEVs). Driving patterns affect propulsion and braking power requirement of vehicles, and they play an essential role in HEV design and control optimization. Driving pattern conscious adaptive strategy can lead to further fuel economy improvement under real-world driving. This paper proposes a real-time driving pattern recognition algorithm for supervisory control under real-world conditions. The proposed algorithm uses reference real-world driving patterns parameterized from a set of representative driving cycles. The reference cycle set consists of five synthetic representative cycles following the real-world driving distance distribution in the US Midwestern region. Then, statistical approaches are used to develop pattern recognition algorithm. Driving patterns are characterized with four parameters evaluated from the driving cycle velocity profiles.
Edgewater Computer Systems Inc. product RTEdge Platform 1.2 is a software toolset supporting proof based engineering, implementation and deployment of software components, built using the RTEdge AADL Microkernel modeling subset. This is a small subset of the AADL component model and execution semantics, covering threads and thread-groups communicating solely through asynchronous event ports and through explicitly shared data ports. Threads behavior is expressed as state machines and dispatch run time semantics is encoded in a Run-time Executive, enforcing pre-emptive priority dispatch based on statically assigned event priorities, with ceiling priority protocol access to shared data. This simple AADL microkernel semantic core can support all dispatch policies, communication and synchronization mechanisms of a fully fledged AADL run time environment, permitting the systematic use of the RTEdge static analysis tools for AADL compliant software components.

Related Items

Technical Paper / Journal Article
Training / Education
Training / Education
Training / Education