مشخصات پژوهش

خانه /Predicting the structural ...
عنوان
Predicting the structural parameters of integrally skinned porous membranes
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چکیده
The objectiveofthisstudyistoproposeanovelapproachforpredictingthestructuralparametersof integrallyskinnedporousmembranesusinggaspermeationdata.Itisintendedtoovercomethe limitation oftheconventionalgaspermeationtesting(GPT)method,sincethelattermethodseemsto suffer fromseveralconceptualdrawbacks.Inparticular,acomparisonismadebetweenthetheoretical calculation andtheexperimentaldatatoshowthesuperiorityofthenewlyproposedmodel.Thenew model isamodification ofWakaoetal.0s model,inwhich,unliketheconventionalGPTmethod,the contribution oftheslip flow isconsidered.AlthoughWakaoetal.0s modelwasfoundsuperiortothe conventionalGPTmethod,themodel fitting totheexperimentaldatawasnotcompletelysatisfactory.It waslikelythattheslip flow,althoughitseffectcannotbeneglected,isnotfullydeveloped.Therefore,a factor ? is introducedtoshowtheextentofthecontributionoftheslip flowmechanismtothetotalgas permeation rate.Asaresult,thenewmethodcanovercometheshortcomingsoftheconventionalGPT method bymanifestingthefollowingadvantages:(i)itcancovertheentirerangeof J versus P diagram, (ii) itcanspecifythecontributionoftheindividualmechanismsinvolvedinthetotalgaspermeationand (iii) unliketheconventionalGPTmethod,itisnotlimitedbyanyconstraintsorconditionsofdata acquisition.Insummary,themodelcanpredictporesizeandeffectiveporosity,andalsosimulatethe experimental J versus P trends withsufficient accuracy(within 2% overthepressurerangestudied)for all typesofmembranes,i.e.NF,UF,MF,MDandmembranecontactors.Inviewofthisfact,theproposed model issimplertoapplythanRangarajanetal.0s modelandmoreaccuratethantheconventionalGPT method.
پژوهشگران سیدعبداللطیف هاشمی فرد (نفر اول)، احمد فائوزی اسماعیل (نفر دوم)، T. Matsuura (نفر سوم)، نیدال هلال (نفر چهارم)