scholarly journals An Abrasion Wear Model of Rotary Shear Comminution of Biomass Feedstock

2021 ◽  
Author(s):  
George Fenske ◽  
Oyelayo Ajayi
Keyword(s):  
Biomass Feedstock ◽  
Wear Model ◽  
Rotary Shear ◽  
Abrasion Wear

Abrasion wear behavior of a forged and unforged Fe-B alloy

2016 ◽  
Vol 58 (2) ◽  
pp. 127-132 ◽  
Author(s):  
Sude Ma ◽  
Jianjun Zhang ◽  
Shengqiang Ma
Keyword(s):  
Wear Behavior ◽  
Abrasion Wear

scholarly journals Simulation and Experimental Study on Wear of U-Shaped Rings of Power Connection Fittings under Strong Wind Environment

Materials ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 735
Author(s):  
Songchen Wang ◽  
Xianchen Yang ◽  
Xinmei Li ◽  
Cheng Chai ◽  
Gen Wang ◽  
...  
Keyword(s):  
Abrasive Wear ◽  
Adhesive Wear ◽  
Surface Hardness ◽  
Wear Depth ◽  
Strong Wind ◽  
Wear Model ◽  
Wind Environment ◽  
Simulation Results ◽  
Oxidation Wear ◽  
Good Agreement

The objective of this study was to investigate the wear characteristics of the U-shaped rings of power connection fittings, and to construct a wear failure prediction model of U-shaped rings in strong wind environments. First, the wear evolution and failure mechanism of U-shaped rings with different wear loads were studied by using a swinging wear tester. Then, based on the Archard wear model, the U-shaped ring wear was dynamically simulated in ABAQUS, via the Umeshmotion subroutine. The results indicated that the wear load has an important effect on the wear of the U-shaped ring. As the wear load increases, the surface hardness decreases, while plastic deformation layers increase. Furthermore, the wear mechanism transforms from adhesive wear, slight abrasive wear, and slight oxidation wear, to serious adhesive wear, abrasive wear, and oxidation wear with the increase of wear load. As plastic flow progresses, the dislocation density in ferrite increases, leading to dislocation plugs and cementite fractures. The simulation results of wear depth were in good agreement with the test value of, with an error of 1.56%.

scholarly journals Mapping and Analysis of Biomass Supply Chains in Andalusia and the Republic of Ireland

2020 ◽  
Vol 12 (11) ◽  
pp. 4595
Author(s):  
Jennifer Attard ◽  
Helena McMahon ◽  
Pat Doody ◽  
Johan Belfrage ◽  
Catriona Clark ◽  
...  
Keyword(s):  
Critical Role ◽  
Value Chains ◽  
Biomass Feedstock ◽  
Mapping Model ◽  
Biomass Feedstocks ◽  
Biomass Resource ◽  
Wet Weight ◽  
The Republic ◽  
Biomass Availability ◽  
Feedstock Availability

The bioeconomy can play a critical role in helping countries to find alternative sustainable sources of products and energy. Countries with diverse terrestrial and marine ecosystems will see diverging feedstock opportunities to develop these new value chains. Understanding the sources, composition, and regional availability of these biomass feedstocks is an essential first step in developing new sustainable bio-based value chains. In this paper, an assessment and analysis of regional biomass availability was conducted in the diverse regions of Andalusia and Ireland using a bioresource mapping model. The model provides regional stakeholders with a first glance at the regional opportunities with regards to feedstock availability and an estimate of the transportation costs associated with moving the feedstock to a different modelled location/region for the envisioned biorefinery plant. The analysis found that there were more than 30 million tonnes of (wet weight) biomass arisings from Ireland (84,000 km2) with only around 4.8 million tonnes from the Andalusian region (87,000 km2). The study found that Cork in Ireland stood out as the main contributor of biomass feedstock in the Irish region, with animal manures making the largest contribution. Meanwhile, the areas of Almería, Jaén, and Córdoba were the main contributors of biomass in the Andalusia region, with olive residues identified as the most abundant biomass resource. This analysis also found that, while considerable feedstock divergence existed within the regions, the mapping model could act as an effective tool for collecting and interpreting the regional data on a transnational basis.

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