79 research outputs found

    Multi-objective optimization for optimum tolerance synthesis with process and machine selection using a genetic algorithm

    Get PDF
    This paper presents a new approach to the tolerance synthesis of the component parts of assemblies by simultaneously optimizing three manufacturing parameters: manufacturing cost, including tolerance cost and quality loss cost; machining time; and machine overhead/idle time cost. A methodology has been developed using the Genetic Algorithm (GA) technique to solve this multi-objective optimization problem. The effectiveness of the proposed methodology has been demonstrated by solving a wheel mounting assembly problem consisting of five components, two subassemblies, two critical dimensions, two functional tolerances, and eight operations. Significant cost saving can be achieved by employing this methodology

    Study of e+eppˉe^+e^- \rightarrow p\bar{p} in the vicinity of ψ(3770)\psi(3770)

    Full text link
    Using 2917 pb1\rm{pb}^{-1} of data accumulated at 3.773~GeV\rm{GeV}, 44.5~pb1\rm{pb}^{-1} of data accumulated at 3.65~GeV\rm{GeV} and data accumulated during a ψ(3770)\psi(3770) line-shape scan with the BESIII detector, the reaction e+eppˉe^+e^-\rightarrow p\bar{p} is studied considering a possible interference between resonant and continuum amplitudes. The cross section of e+eψ(3770)ppˉe^+e^-\rightarrow\psi(3770)\rightarrow p\bar{p}, σ(e+eψ(3770)ppˉ)\sigma(e^+e^-\rightarrow\psi(3770)\rightarrow p\bar{p}), is found to have two solutions, determined to be (0.059±0.032±0.0120.059\pm0.032\pm0.012) pb with the phase angle ϕ=(255.8±37.9±4.8)\phi = (255.8\pm37.9\pm4.8)^\circ (<<0.11 pb at the 90% confidence level), or σ(e+eψ(3770)ppˉ)=(2.57±0.12±0.12\sigma(e^+e^-\rightarrow\psi(3770)\rightarrow p\bar{p}) = (2.57\pm0.12\pm0.12) pb with ϕ=(266.9±6.1±0.9)\phi = (266.9\pm6.1\pm0.9)^\circ both of which agree with a destructive interference. Using the obtained cross section of ψ(3770)ppˉ\psi(3770)\rightarrow p\bar{p}, the cross section of ppˉψ(3770)p\bar{p}\rightarrow \psi(3770), which is useful information for the future PANDA experiment, is estimated to be either (9.8±5.79.8\pm5.7) nb (<17.2<17.2 nb at 90% C.L.) or (425.6±42.9)(425.6\pm42.9) nb

    Ion beam induced luminescence of thin films

    No full text
    Precise control of ion range and ionisation rate makes ion beam induced luminescence (IBL) a useful analytical technique for studying thin films. Combinations of IBL and cathodo-luminescence (CL) offer complementary information. In the present studies of thin films of alumina produced by pulsed laser deposition (PLD), they reveal the alumina produced by pulsed laser deposition (PLD), they reveal the influence of PLD growth conditions. Strong sensitisation from the presence of a layer of copper nanoparticles, changes in nanoparticles following thermal treatments and a range of intrinsic defects in the layers were observed. For multilayer films the IBL was particularly useful in noting signals from the deeper layers. Some data were also recorded for sol–gel alumina films grown on silica or borosilicate glass. © 2012 Published by Elsevier Science B.V.We wish to thank EPSRC, and the Brite Euram contract BE 4427 (AMENIDAD) for financial support.Peer Reviewe
    corecore