低浓度煤层气的提质利用对缓解国内天然气不足的现状具有重要意义,然而煤层气中存在的氮气杂质限制了该类资源的进一步应用,进行低浓度煤层气中CH4/N2混合物的分离至关重要。制备了两种具有弱极性超微孔的金属有机框架材料Sc-CPM-66A和I...低浓度煤层气的提质利用对缓解国内天然气不足的现状具有重要意义,然而煤层气中存在的氮气杂质限制了该类资源的进一步应用,进行低浓度煤层气中CH4/N2混合物的分离至关重要。制备了两种具有弱极性超微孔的金属有机框架材料Sc-CPM-66A和In-CPM-66A,研究材料从CH4/N2混合物中富集CH4的性能,利用PXRD、77 K N2吸附、TGA和FTIR光谱对材料的结构进行了表征。IAST选择性计算表明,In-CPM-66A和Sc-CPM-66A的CH4/N2选择性达到6.0。受益于材料表面存在的大量的甲基基团,两种材料对CH4的吸附热低于被报道的大部分材料,材料与甲烷分子之间弱的相互作用有利于吸附剂的脱附再生。穿透实验进一步表明,CPM-66A可以实现动态条件下CH4/N2混合物的分离,循环穿透实验显示该类材料具有良好的可重复性。展开更多
The idea of linear Diophantine fuzzy set(LDFS)theory with its control parameters is a strong model for machine learning and optimization under uncertainty.The activity times in the critical path method(CPM)representat...The idea of linear Diophantine fuzzy set(LDFS)theory with its control parameters is a strong model for machine learning and optimization under uncertainty.The activity times in the critical path method(CPM)representation procedures approach are initially static,but in the Project Evaluation and Review Technique(PERT)approach,they are probabilistic.This study proposes a novel way of project review and assessment methodology for a project network in a linear Diophantine fuzzy(LDF)environment.The LDF expected task time,LDF variance,LDF critical path,and LDF total expected time for determining the project network are all computed using LDF numbers as the time of each activity in the project network.The primary premise of the LDF-PERT approach is to address ambiguities in project network activity timesmore simply than other approaches such as conventional PERT,Fuzzy PERT,and so on.The LDF-PERT is an efficient approach to analyzing symmetries in fuzzy control systems to seek an optimal decision.We also present a new approach for locating LDF-CPM in a project network with uncertain and erroneous activity timings.When the available resources and activity times are imprecise and unpredictable,this strategy can help decision-makers make better judgments in a project.A comparison analysis of the proposed technique with the existing techniques has also been discussed.The suggested techniques are demonstrated with two suitable numerical examples.展开更多
文摘低浓度煤层气的提质利用对缓解国内天然气不足的现状具有重要意义,然而煤层气中存在的氮气杂质限制了该类资源的进一步应用,进行低浓度煤层气中CH4/N2混合物的分离至关重要。制备了两种具有弱极性超微孔的金属有机框架材料Sc-CPM-66A和In-CPM-66A,研究材料从CH4/N2混合物中富集CH4的性能,利用PXRD、77 K N2吸附、TGA和FTIR光谱对材料的结构进行了表征。IAST选择性计算表明,In-CPM-66A和Sc-CPM-66A的CH4/N2选择性达到6.0。受益于材料表面存在的大量的甲基基团,两种材料对CH4的吸附热低于被报道的大部分材料,材料与甲烷分子之间弱的相互作用有利于吸附剂的脱附再生。穿透实验进一步表明,CPM-66A可以实现动态条件下CH4/N2混合物的分离,循环穿透实验显示该类材料具有良好的可重复性。
基金supported by the Deanship of Scientific Research,Vice Presidency for Graduate Studies and Scientific Research,King Faisal University,Saudi Arabia[Grant No.GRANT3862].
文摘The idea of linear Diophantine fuzzy set(LDFS)theory with its control parameters is a strong model for machine learning and optimization under uncertainty.The activity times in the critical path method(CPM)representation procedures approach are initially static,but in the Project Evaluation and Review Technique(PERT)approach,they are probabilistic.This study proposes a novel way of project review and assessment methodology for a project network in a linear Diophantine fuzzy(LDF)environment.The LDF expected task time,LDF variance,LDF critical path,and LDF total expected time for determining the project network are all computed using LDF numbers as the time of each activity in the project network.The primary premise of the LDF-PERT approach is to address ambiguities in project network activity timesmore simply than other approaches such as conventional PERT,Fuzzy PERT,and so on.The LDF-PERT is an efficient approach to analyzing symmetries in fuzzy control systems to seek an optimal decision.We also present a new approach for locating LDF-CPM in a project network with uncertain and erroneous activity timings.When the available resources and activity times are imprecise and unpredictable,this strategy can help decision-makers make better judgments in a project.A comparison analysis of the proposed technique with the existing techniques has also been discussed.The suggested techniques are demonstrated with two suitable numerical examples.
