This study develops a neural network based methodology for recognising Manufacturing Feature (MF) using the Boundary representation (B-rep) information. The methodology is capable of recognising both basic MF (including standard MF and non-standard MF) and interacting MF. Firstly, both the edges' convex concave attribute and the edges' position (whether an edge belongs to the inner edge loop or outer edge loop), which reflects the edges' characteristics and the relationship between the bottom profile and its adjacent faces, were analysed to define the input vector for the neural network. Based on this, a BP neural network with a single hidden layer which contains ten neurons was obtained. The basic MF is divided into four groups, and can be recognised easily using the neural network. For the interacting MFs, a basic MF is recognised firstly, the bottom profile for the interactive MF is updated, and the interactive MF can be recognised.
- Inderscience Publishers
- Recognising 2.5D manufacturing feature using neural network
Cut-Off Wall - Abandoned Mine Tailings Pond - Case Study
ProblemAt an abandoned mine in the Yukon Territory, mining for both Gold and Zinc took place until the mid 1950`s, with the processing of the ore taking place on the banks of an adjacent lake. Processing methods resulted in the creation of a large mine tailings pond that had high concentrations of iron, arsenic, zinc and lead. Spring runoff and summer rainfall then infiltrated through the pond resulting in contamination of the lake with heavy metals. The lake is a primary source of drinking water and the prevention...
Case study - Buoy-based temperature profiling in the Bavarian Lakes
In summertime a temperature stratification occurs in deep lakes – the surface water is warm, but deep down the water is cold. This has considerable influence on the nutrient balance and the biological habitat in these lakes. Due to generally higher air temperatures induced by the climate change, both change and have effects on the life conditions of the ecosystems in the lakes.Researchers use OTT buoys and the OTT net DL datalogger to study the long term effects of climate change on the Bavaraian lakes. Ba...
Two-dimension coupling model to simulate water flow, sediment transport and bed evolution
Catastrophic flood events worldwide have become increasingly more frequent and their dynamics mechanism has attracted much interest as how to predict them by numerical method. As the most common phenomenon occurs in the flowing process, entrainment and deposition can significantly influence flow mobility by increasing in mass and changing in flow character. In this paper, a two-dimension coupling model is presented to simulate water flow, sediment transport and bed evolution based on the shallow water assumption,...
High spatial resolution analysis of the distribution of sulfate reduction and sulfide oxidation in ...
Bottom hypoxia and consequential hydrogen sulfide (H2S) release from sediment in eutrophic estuaries is a major global environmental issue. We investigated dissolved oxygen, pH and H2S concentration profiles with microsensors and by sectioning sediment cores followed by colorimetric analysis. The results of these analyses were then compared with the physicochemical properties of the bottom water and sediment samples to determine their relationships with H2S production in sediment. High organic matter and fine...
Notable increases in nutrient concentrations in a shallow lake during seasonal ice growth
Nutrients may be eliminated from ice when liquid water is freezing, resulting in enhanced concentrations in the unfrozen water. The nutrients diluted from the ice may contribute to accumulated concentrations in sediment during winter and an increased risk of algae blooms during the following spring and summer. The objective of this study was to evaluate the influence of ice cover on nitrogen (N) and phosphorus (P) concentrations in the water and sediment of a shallow lake, through an examination of Ulansuhai...