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"Multi-objective optimization of a direct contact membrane distillation" by Jingjing Liu, Wenye Lin et al.

Improving the performance of direct contact membrane distillation (DCMD) for liquid desiccant regeneration has attracted increasing attention. This paper presents multi-objective optimization of a DCMD regenerator to maximize its regeneration capacity (RC) and thermal efficiency (TE) simultaneously when treating a 25–30 wt.% lithium chloride desiccant solution. The key parameters, including initial feed concentration, feed and distillate inlet temperatures and volumetric flow rate were optimized using two methods (i.e. non-dominated sorting genetic algorithm (NSGA-Ⅱ) based method and a fuzzy clustering and weighted cumulative probability distribution (FC-WCPD) technique). The first method obtained an optimal Pareto front, in which the RC and TE were in the ranges of 0.77–0.91 wt.% and 12.2%–13.3%, respectively. The feed and distillate inlet temperatures showed a conflicting effect on enhancing the two objectives, while the initial feed concentration and volumetric flow rate wer ....

Fuzzy Clustering , Genetic Algorithm , Iquid Desiccant Regeneration , Membrane Distillation , Multi Objective Optimization ,

Forex Robots: Automate Your Trading - Practice Ea Included!

[center] [img]https://i120.fastpic.org/big/2022/1007/aa/9ab06790007e9a005ffa0909817be9aa.jpeg[/img] [/center] [center][b]Forex Robots: Automate Your Trading - Practice Ea Included![/b] Last updated 9/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 4.59 GB | Durat. ....

Expert Properties , Automate Your Trading , Automated Forex Trading Systems , Strategy Tester , Historical Data , Forward Tests , Demo Tests , Real Tests , Algorithmic Trading , Stability Criteria , Genetic Algorithm , Optimization Results , Recovery Factor , Optimize Forex Robots , Forex Robot , Expert Advisor , Forex Robots , Expert Advisors , Forex Robotsperform Forward Tests , Forex Robotsoptimize Robotsrun Demo Tests , Algorithmic Trading Systemsapply , Systemsexport Optimization Results , Automated Trading , Optimization Tips , Surface Visual , Course Students ,

State of Charge Estimation in Lithium-ion Batteries

A new paper in the journal Energies has investigated different methods for estimating state of charge in lithium-ion batteries, a key technology in applications such as electric vehicles. The research has been conducted by scientists from Brazil. ....

Reginald Davey , Reginald Daveysep , Skyla Baily , Soc Estimation , Lithium Ion Batteries Based , Multiple Linear Regression , Particle Swarm , Image Credit , Soc Model , Battery Soc , Generalized Linear , Differential Evolution , Particle Swarm Optimization , Genetic Algorithm , Capacity Curve , Particle Swarm Optimization Energies ,

Controlling the concrete manufacturing process increases the strength by 30%

Controlling the concrete manufacturing process increases the strength by 30%
sciencex.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from sciencex.com Daily Mail and Mail on Sunday newspapers.

Kazem Reza Kashyzadeh , Propagation Neural Network , Reza Kashyzadeh , Concrete Compressive Strength Using , Back Propagation Neural Network Optimized , Genetic Algorithm , Response Surface Analysis Considering , Curing Conditions ,

"Optimised Behaviour of Load-Bearing Tensegrities" by James K. Roth

Tensegrities are pin-jointed frameworks consisting of discontinuous compressive struts held within a tensioned cable net. Existing in a state of self-equilibrium, tensegrity structures can be found in vary-ing states of rigidity dependent on the initial pretension existing within the cables. The current state of tensegrity understanding appears comprehensive, and yet, tensegrities appear to be relegated to a class of architectural sculpture, due to the complexity associated with understanding their behaviour. This com-plexity is often attributed to the lack of application for tensegrity structures within the built environment. For this reason, this thesis aims to examine the effect of compressive loading on tensegrities, and how different pretensions, geometries and materials aid in resisting this applied loading.
A review was conducted to determine a current understanding of load bearing tensegrity structures. Through conducting this review, it was found that stiffness and load bea ....

Genetic Algorithm , Ompressive Load ,