In the last several decades fluid power has been used extensively in diverse industries such as agriculture, construction, marine, offshore resource extraction, and even entertainment. With a vast and ever-increasing spectrum of potential applications, the design of efficient and leak-free components in fluid power systems has become essential. Previous experiments and studies have shown that t...

Machining operation optimization improves the quality of product, reduces cost, enhances overall efficiency by reducing human error, and enables consistent efficient operation. It is a vital decision-making process achieves best solution within constraints. reliance on machine-tool technicians handbooks to identify cutting parameters, as lack awareness optimal combination machining parameters l...

In the past decades, the microelectronic industry has been following the Moore’s law to improve the performance of integrated circuits (IC). However, it will probably be impossible to follow this law in the future due to physical limitations appearing with the miniaturization of the transistors below a certain threshold. In order to overcome this problem, new technologies have emerged, and amon...

....... An important problem in the realm of evolutionary multi-objective optimization (MOO) is that of finding all non-dominated fronts (NDFs). We specifically address the computational efficiency of the non-dominated sorting algorithm for finding the non-dominated fronts for the non-dominated sorting genetic algorithm II (NSGA-II) algorithm. We introduce the Limiting Index Sort (LIS) algorith...

Resilience is becoming a key concept for risk assessment and safety management of interdependent critical infrastructures (ICIs). This work proposes resilience enhancement framework ICIs. With reference to the accidental event, ex-ante ex-post solutions enhancing system are analysed included into hierarchical model strategies (RES). To provide specific ICIs, we integrate with predictive control...

Sulphuric acid (H2SO4) is one of the most produced chemicals in world. The critical step sulphuric production oxidation sulphur dioxide (SO2) to trioxide (SO3) which takes place a multi catalytic bed reactor. In this study, representative kinetic rate equation was rigorously selected develop mathematical model perform multi-objective optimization (MOO) objectives MOO were SO2 conversion, SO3 pr...

Fractional-order proportional-integral-derivative (FOPID) controllers are designed for load-frequency control (LFC) of two interconnected power systems. Conflicting time-domain design objectives are considered in a multi-objective optimization (MOO)-based design framework to design the gains and the fractional differ-integral orders of the FOPID controllers in the two areas. Here, we explore th...

Based on the square heat-generation body (HGB) with “arrow-shaped” high-thermal-conductivity channel (HTCC) model established in previous literature, we performed multi-objective optimization (MOO) maximum temperature difference (MTD) minimization and entropy-generation rate (EGR) as objectives for its performance. Pareto frontiers optimal set were obtained based NSGA-II. TOPSIS, LINMAP, Shanno...

While evolutionary computing inspired approaches to multi-objective optimization have many advantages over conventional approaches; they generally do not explicitly exploit directional/gradient information. This can be inefficient if the underlying objectives are reasonably smooth, and this may limit the application of such approaches to real-world problems. This paper develops a local framewor...

this paper presents a clear monograph on the optimization of thermal instability resistance of the fg (functionally graded) flat structures. for this aim, two fg flat structures, namely an fg beam and an fg circular plate, are considered. these structures are assumed to obey the first-order shear deformation theory, three-parameters power-law distribution of the constituents, and clamped bounda...