Firstly, we introduced the development of cloth simulation in recent years. Based on physical model of cloth simulation, we established the simulation system with a simplified mass-spring model. The computational efficiency is increased with this model. A modified implicit method was proposed in this paper. This method produces plausible animation, and it is easy to be realized with a stable and good real-time performance. The paper adopted AABB (Axis-Aligned Bounding Boxes) bounding volume approach for the detection of cloth collision, it obtains an excellent real-time effect of cloth simulation.

In this paper, the flexibility of the cross axis and furcated frame of high speed rapier loom was considered through the change of the two components’ material. Corresponding neutral documents were generated in ANSYS, then with the ANSYS-ADAMS co-simulation, those neutral documents were imported into ADAMS. The motion curves of sword belt were received. Through the map analysis and comparison, the relationship of changing the two components’ material and the motion curves of sword belt were found. The simulation results show that, in consideration of the flexible components, rational selection of the component material can greatly reduce the impact on Spatial four bar linkage weft insertion mechanism, thereby enhance the quality of the fabric.

Cloud computing is a novel paradigm capable of rationalizing the use of computational resources by means of outsourcing and virtualization. Elasticity is one of the most attractive features of cloud computing. Elastic clouds are able to adapt to workload changes by provisioning and de-provisioning resources in an autonomic manner, such that at each point in time the available resources match the current demand as closely as possible. However, elasticity adds complexity, which makes quantitative analysis of cloud performance and power consumption difficult. Such analysis is required to evaluate and quantify the cost-benefit of a strategy portfolio and the quantitative runtime performance and power consumption experienced by cloud-users. In this study, we present a comprehensive analytical approach to performance and power consumption analysis of elastic clouds. Several metrics are defined and evaluated: expected task completion time, power consumption rate, and task rejection rate under different load conditions, elasticity intensities, and error intensities. To validate the proposed approach, we obtain experimental data through a real-world cloud and conduct a confidence interval analysis. The analysis results suggest the perfect coverage of theoretical results by corresponding experimental confidence intervals. 4368 K.-Y. GUO ET AL.up/out as long as the workload is high, and scaling back in/down when possible, which potentially brings energy saving and operational cost reduction. Elasticity is one of the essential characteristics of scalable cloud, which distinguish the cloud paradigm from traditional computing systems such as gird and cluster computing. However, elasticity is not always welcomed because it also leads to nonnegligible performance degradations caused by lack of available computing resources when facing bursty/high workload and extra operational cost needed by up-scaling/down-scaling activities.Another notable feature influencing performance and power consumption of elastic cloud is machine error. Such errors are caused by accidental storage unavailability, component malfunction, software bug, software aging, storage space fragmentation accumulation, memory leak, extra-longresponse message, connection failure, message loss, wrong input sequence, external intrusion, and so on. Errors are a major reason causing performance and availability degradation in cloud computing systems. Such degradation could be further amplified because of the fact that elastic cloud usually maintains a subset of active machines rather than put all machines online. Such reduced number of active machines are obviously more susceptible to machine errors than those of non-elastic clouds where all machines are kept active.Errors occur at different levels, and not all errors especially hardware and platform-related errors can be detected and repaired by operating system-level (OS-level) detectors. The complexity of error hierarchy and the fact that lower-level hardware/platform errors are more rare than higherlevel software/tas...

A butt welding-brazing joint of 5A06 aluminum alloy and DP1180 ultrahigh-strength steel was carried out by using plasma arc welding (PAW) with Al-Si welding wire. Interface characteristics, formation mechanism and mechanical properties of the joint were investigated. The results showed that the dissimilar joint contained bond zone, weld zone and Al/steel interface zone. During PAW, the inter-diffusion of Fe and Al and the interfacial reaction occurred, and the double-layer structure intemtallics (IMCs) composed of Fe4Al13 layer and Fe2Al5 layer were produced in the interface zone. The thickness and morphology of both IMC layers depended on different positions in the interface zone. The Fe2Al5 layer thickness decreased obviously and its morphology changed from continuous layer to discontinuous layer with the decrease of welding heat input. The average tensile strength of the joint was 88 MPa and the joint fractured at the Al/steel interface zone with the highest hardness (524 HV). The interface zone IMCs were the main factor of affecting the mechanical properties of aluminum alloy and ultrahigh-strength steel PAW joint.

ordinary carbon steel hardness and life is difficult to achieve blanking dies and drawing dies requirements. In the surfacing alloy steel and alloy steel base can improve the surface hardness and durability of the mold. To reduce the use of electric arc welding carbide decomposition and burn in the shielding gas . Welding mold base structure to meet the requirements of the welding . Mold heat treatment after welding specifications and hardness to meet the processing requirements and use of strength requirements. Welding process design mold substrate heating requirements and the requirements of the solder layer thickness and the thickness between layers allocation.