Exploitation of shape memory alloy actuator using resistance feedback control and its development

The relationship between phase transformation and electric re sistivity of Ti-42.6Ni-7Cu SMA was investigated. In the isothermal tensile tests, stress—strain curve shows large hysteresis and nonlinearity, whereas the resistivity—strain curve can be fitted by linearity. The resistivity of SMAs can be determined from the volume fractions of the martensitic and austenitic phas es. This characteristics leads to that the resistance of the SMAs is used as a parameter of strain of SMAs. A SMA actuator using resistance feedback control system was proposed, which can control and retain positioning at any positions without using sensor devices, and the deviation of position of this system was less than 3 μm.     

DEVELOPMENT OF REALISTIC QUALITY LOSS FUNCTIONS FOR INDUSTRIAL APPLICATIONS

1. Introduction A manufactured item usually has some characteristics, which are required to have some values for the proper functioning of the item. These characteristics are referred to as quality characteristics and the ideal value for each quality characteristic is called a target value. Usually, a range of values containing the target value are specified for each quality characteristic of the item, within which the item is classified as non-defective. Otherwise, the item is defective. A s…     

DESIGNING THE OPTIMUM CONFIGURATIONS OF CIRCULAR AND SPHERICAL PRODUCT SPECIFICATIONS FOR MULTIPLE QUALITY CHARACTERISTICS

1. Introduction The problem of determining an optimal tolerance is equivalent to the problem of determining optimal specification limits, since the term tolerance refers to the distance between its lower and upper specification limits. Functional performance and economic considerations are the two primary factors affecting the design of tolerances. A tighttolerance usually implies high manufacturing cost due to additional manufacturing operations, slow processing rates, additional care on part…     

A MARKOVIAN APPROACH TO DETERMINING PROCESS MEANS WITH DUAL QUALITY CHARACTERISTICS

This paper studies a production system where products are produced continuously and whose specification limits are specified for screening inspection. In this paper, we consider dual quality characteristics and different costs associated with each quality characteristic that falls below a lower specification limit or above an upper specification limit. Due to these different costs, the expected total profit will greatly depend on the process parameters, especially a process mean. This paper develops a Markovian-based model for determining the optimum process means with the consideration of dual quality characteristics in a single-stage system. The proposed model is then illustrated through a numerical example and sensitivity analysis is performed to validate the model. The results showed that the optimum process mean for both quality characteristics have a significant effect on the performance of the system. Since the literature survey shows that dealing with multi-quality characteristics is extremely limited, the proposed model, coupled with the Markovian approach, provides a unique contribution to this field.     

Effect of Cu seed on the synthesis and characterization of FeCo alloy nano-particles by using polyol method

Fine metal particles with uniform shape,narrow size distribution and high purity are increasingly needed for specific uses in high tech industrial application.We report the direct chemical synthesis of FeCo alloy particles using the mixture of FeCl2·4H2O,Co(Ac) 2·4H2O(Ac:acetate) and NaOH in ethylene glycol,and then obtained FeCo alloy particles better dispersed by adding the polyvinylpyrrolidone(PVP) and also the size could be controlled by adding copper.The prepared nano-particles were characterized using FESEM,XRD and VSM.The mean diameter of these particles was varied in the range of submicrometer to nanometer with metal-ion concentration.FeCo particles showed the typical soft magnetic properties.     

Everett and the Born rule

During the last 10 years or so, derivations of the Born rule based on decision theory have been proposed and developed, and it is claimed that these are valid in the context of the Everett interpretation. This claim is critically assessed and it is shown that one of its key assumptions is a natural consequence of the principles underlying the Copenhagen interpretation, but constitutes a major additional postulate in an Everettian context. It is further argued that the Born rule, in common with any interpretation that relates outcome likelihood to the expansion coefficients connecting the wavefunction with the eigenfunctions of the measurement operator, is incompatible with the purely unitary evolution assumed in the Everett interpretation.     

模糊可靠性理论在机构运动可靠性分析中的应用

讨论了机构运动模糊可靠性分析的普通方法,给出了将模糊可靠性问题转化为一般所指的可靠性问题,分析了机构运动的模糊可靠性的方法,最后说明了以上方法在曲柄滑块机构可靠性分析中的应用.     

Genome-wide association study identifies FCGR2A as a susceptibility locus for Kawasaki disease

Kawasaki disease is a systemic vasculitis of unknown etiology, with clinical observations suggesting a substantial genetic contribution to disease susceptibility. We conducted a genome-wide association study and replication analysis in 2,173 individuals with Kawasaki disease and 9,383 controls from five independent sample collections. Two loci exceeded the formal threshold for genome-wide significance. The first locus is a functional polymorphism in the IgG receptor gene FCGR2A (encoding an H131R substitution) (rs1801274; P = 7.35 × 10(-11), odds ratio (OR) = 1.32), with the A allele (coding for histadine) conferring elevated disease risk. The second locus is at 19q13, (P = 2.51 × 10(-9), OR = 1.42 for the rs2233152 SNP near MIA and RAB4B; P = 1.68 × 10(-12), OR = 1.52 for rs28493229 in ITPKC), which confirms previous findings(1). The involvement of the FCGR2A locus may have implications for understanding immune activation in Kawasaki disease pathogenesis and the mechanism of response to intravenous immunoglobulin, the only proven therapy for this disease.