Energy efficiency is an important factor in the marine industry to help reduce manufacturing and operational costs as well impact on environment. In face of global competition cost-effectiveness, ship builders operators today require a major overhaul entire design, operation process achieve these goals. This paper highlights smart way forward 4.0 (i4) era from designing for better energy more intelligent ships through-life. The (i) draws parallels between processes, (ii) identifies key...

Foreseeing changes in the way companies manufacture products and provide services, future trends are emerging design manufacture. Together with growing internet applications technologies connected through cloud, a new Industrial Revolution, named "Industry 4.0", aims to integrate cyber-virtual cyber-physical systems aid smart manufacturing, as presented this paper. Connecting information physical machinery, paradigm relies on how effective fast connectivity achieved for Industry 4.0. A...

Accurately forecasting a battery’s remaining useful life (RUL) plays an important role in the prognostics and health management of rechargeable batteries. An effective forecast is reported using particle filter (PF), but it currently suffers from degeneracy impoverishment deficiencies RUL evaluations. In this paper, inheritance PF developed to predict lithium-ion battery for first time. A degradation model mapped onto problem genetic algorithm (GA) framework. Then, Lamarckian operator...

Following the first three industrial revolutions, Industry 4.0 (I4) aims at realizing mass customization a production cost. Currently, however, there is lack of smart analytics tools for achieving such goal. This paper investigates this issues and then develops predictive framework integrating cloud computing, big data analysis, business informatics, communication technologies, digital systems. Computational intelligence in form self-organizing map (SOM) used to manage relevant feeding...

Industry 4.0 aims at achieving mass customization a production cost. A key component to realizing this is accurate prediction of customer needs and wants, which however challenging issue due the lack smart analytics tools. This paper investigates in depth then develops predictive analytic framework for integrating cloud computing, big data analysis, business informatics, communication technologies, digital industrial systems. Computational intelligence form cluster k-means approach used...

MATLAB <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup> has built in five derivative-free optimizers (DFOs), including two direct search algorithms (simplex search, pattern search) and three heuristic (simulated annealing, particle swarm optimization, genetic algorithm), plus a few the official user repository, such as Powell's conjugate (PC) recommended by MathWorks . To help practicing engineer or scientist to choose DFO most suitable...

Today s factory involves more services and customisation. A paradigm shift is towards "Industry 4.0" (i4) aiming at realising mass customisation a production cost. However, there lack of tools for customer informatics. This paper addresses this issue develops predictive analytics framework integrating big data analysis business informatics, using Computational Intelligence (CI). In particular, fuzzy c-means used pattern recognition, as well managing relevant feeding potential needs wants...

The study of aluminothermic reduction in manganese compounds is a complex challenge preparing Al-Mn alloys. primary objective this was to ascertain the activation energy values for MnO and Mn3O4 oxides derived from alkaline batteries. melted aluminum found beverage cans utilized technique powder addition with mechanical agitation. kinetics reaction were studied under effects temperature (750, 800, 850 °C), degree agitation (200, 250, 300 rpm), initial concentration magnesium molten (1, 2, 3,...

The design of an aluminium melting furnace has faced two challenges: mathematical modelling and simulative optimization. This paper first uses fluid dynamics to model the process mathematically. Then, is utilized simulate a round shaped reverberatory for alloys. In order achieve highest thermal efficiency furnace, simulation are performed predict complex flow patterns, geometries, temperature profiles mixture-gas air through main chamber, as well tower attached furnace. results led...

The aluminum alloys corresponding to the 6000 series are mainly manufactured by mechanical forming processes. Their properties enhanced homogeneous distribution of intermetallic phases such as β-Al5FeSi or α-Alx (Fe, Mn) Si. By thermal homogenization treatment, compound changes its morphology from a needle type with monoclinic structure an acicular form known α-Al12(Fe, Mn)3Si fcc structure. In present study, samples 6063 alloy were subjected different temperatures (798, 823, and 848 K)...

Natural1 evolution strategy (NES) algorithms have seen a variety of successful applications recently, but still need to improve algorithmic convergence. To address this issue, we propose the use look-ahead scheme predictively estimate natural acceleration in algorithm. This estimation is assist convergence towards global optimum faster. The resultant algorithm termed "Look-Ahead Natural Evolutionary Strategy" (LANES) It tested against combination multiple benchmarks using number well-known...

In this study, using mixtures of pure Al, Si, Mn, and Fe powders, the α-Al9FeMnSi intermetallic compound was formed onto AISI 304L stainless steel samples by reactive sintering. The processing parameters were temperature (800, 850, 900 °C) applied pressure (15 20 MPa), a constant holding time 7200 s. paper, influence on microstructure, microhardness, wear resistance layers studied. Using X-ray diffraction (XRD), scanning electron microscopy (SEM), microhardness testing, wearing measurements...