首页|Minimum mass-entransy dissipation profile for one-way isothermal diffusive mass-transfer process with mass-resistance and mass-leakage

Minimum mass-entransy dissipation profile for one-way isothermal diffusive mass-transfer process with mass-resistance and mass-leakage

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As a new concept,mass-entransy is one of the twins in the core of entransy theory.It can describe mass-transfer ability for mass-transfer processes(MTPes),just as thermal-entransy for describing heat-transfer ability.Accordingly,mass-entransy dissipation can be utilized to evaluate the loss of mass-transfer ability.Minimum mass-entransy dissipation(MMED)is utilized to optimize one-way isothermal diffusive MTPes with mass-leakage and mass-transfer law(g ∝ Δ(c),where c means concentration).For a given net amount of mass-transferred key components at the low-concentration side,optimality-condition for the MMED of isothermal diffusive MTPes is obtained by using the averaged-optimization-method.Effects of the amount of mass-transferred and mass-leakage on optimal results are analyzed,and the obtained optimization profiles are compared with those for MTP profiles of constant-concentration-difference(c1-c2=const)and constant-concentration-ratio(c1/c2=const).The product of square of key-component-concentration(KCC)difference between high-and low-concentration sides and inert component concentration at high-concentration side for the MMED of the MTP with no mass-leakage is a constant,and the optimal relationship of the KCCs between high-and low-concentration sides with mass-leakage is significantly different from the former.When mass-leakage is relatively small,the MTP with c1-c2=const strategy is superior to that with c1/c2=const strategy,and the latter is superior to the former with an increase in mass-leakage.A combination of mass-entransy concept,finite-time thermodynamics,and averaged-optimization-method is a meaningful tool for optimizing MTPes.

diffusive mass-transfer-lawmass-leakageone-way isothermal mass-transferminimum mass-entransy dissipationfinite-time thermodynamicsaveraged-optimization-method

CHEN LinGen、XIA ShaoJun

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Institute of Thermal Science and Power Engineering,Wuhan Institute of Technology,Wuhan 430205,China

School of Mechanical & Electrical Engineering,Wuhan Institute of Technology,Wuhan 430205,China

School of Power Engineering,Naval University of Engineering,Wuhan 430033,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of China

5217131751976235

2024

中国科学:技术科学(英文版)
中国科学院

中国科学:技术科学(英文版)

CSTPCDEI
影响因子:1.056
ISSN:1674-7321
年,卷(期):2024.67(8)
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