The present paper on the supported liquid membrane (SLM) deals with the general
principles and applications, followed by the uphill transportation characteristic of SLM. The …

Sustainable recycling of valuable metals from spent lithium-ion batteries (LIBs) may be
necessary to alleviate the depletion of strategic metal resources and potential risk of …

The growing application of radioactive materials in various industries, such as nuclear
power, oil and gas, and research labs, has led to an increase in the amount of radioactive …

It might be of practical significance to recover different metals from the already complicated
waste spent lithium-ion battery (LIB) stream by simplified recycling processes. This study is …

Owing to the exceptional mechanical properties of Ti-6Al-4V, it is widely utilized in numerous
critical mechanical parts for the uncompromised factor of safety. However, performing …

The hybrid optimization method of using evolutionary neural network (EvoNN) and NSGA-II
algorithms is applied in two case studies. The first optimization study is applied in a …

Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are
used in learning and modeling especially with the advent of big data related problems. This …

Genetic algorithms (GAs) are a helpful tool in optimization, simulation, modelling, design,
and prediction purposes in various domains of science including materials science …

This paper aims to model and predict the mechanical properties of acrylonitrile-butadiene-
styrene parts manufactured by fused deposition modelling. An L27 Taguchi array was used …

A new advanced algorithm is proposed for the process parameter optimization of machining
processes. This algorithm is inspired by the teaching-learning process, and it works on the …