The design process of thin-walled structural members is highly complex due to the possible occurrence multiple instabilities. This research therefore aimed develop machine learning algorithms predict buckling behaviour channel elements subjected axial compression or bending. Feed-forward multi-layer Artificial Neural Networks (ANNs) were trained, in which input variables comprised cross-sectional dimensions and thickness, presence/location intermediate stiffeners, element length. output data...

Due to the dynamic nature of food supply chain system, management could suffer because of, and be interrupted by, unforeseen events. Considering perishable fresh products their short life cycle, companies feel immense pressure adopt an efficient proactive risk system. The aspects within chains have been addressed in several studies. However, only a few studies focus on complex interactions between various types risks impacting functionality feedback effects, which can generate reliable This...

Background: This paper aims to critically examine the potential barriers implementation and adoption of Robotic Process Automation (RPA) in beef supply chain. The chain has been challenging due its complex processes, activities, management. industry relied heavily on human workforce past; however, RPA allows automating tasks that are repetitive strenuous nature enhance quality, safety security. There considerable as organisations have not focused trying eliminate them various reasons....

Sustainable beef production is a global challenge in present times. This research paper aims to investigate the financial risks and barriers adoption of robotic process automation (RPA), which has emerged as strategic catalyst for achieving sustainability sector. Beef manufacturers constantly strive achieve competitive advantage order gain enhanced productivity at low operational costs. There gap research, there lack knowledge about aspects, barriers, challenges influencing RPA supply chain....

Background: The dynamics of supply chain networks have changed due to increasing complexities. Global expansions and knowledge transfer in bring efficiency effectiveness companies. However, the probability complexity has also been seen increasing. barriers sustainable need be tackled an effective manner as they impact business operations. Therefore, it is essential eliminate reduce complexities, will facilitate process increase implementation practises networks. In previous research, four...

Previous studies have shown that composite fibre orientations can be optimised for specific load cases such as longitudinal or in-plane loading. However, the methodologies utilised in these cannot used general analysis of problems. In this research, an extra term is added to optimisation penalty function order consider transverse shear effect. This modified leads a new methodology whereby thickness laminated plate minimized by optimising different cases. Therefore, effect forces considered...

Lean thinking is a methodology employed initially by manufacturing organizations such as Toyota and New Balance that aims to increase customer value whilst also maintaining low level of waste. The tools techniques in the sector can be transferred other sectors significantly improve service or product, public Higher Education Institutions (HEI). In current education climate, due pandemic (SARS-CoV-2, COVID-19), majority HEIs have moved an online hybrid teaching learning environment. This has...

The rapid advancement of additive manufacturing (AM) technologies has provided new avenues for creating three-dimensional (3D) parts with intricate geometries. Fused Deposition Modeling (FDM) is a prominent technology in this domain, involving the layer-by-layer fabrication objects by extruding filament comprising blend polymer and metal powder. This study focuses on FDM process using Copper-Polylactic Acid (Cu-PLA) composite, which capitalizes advantageous properties copper (high electrical...

Background: Knowledge transfer has been an important aspect in supply chain systems; however, there are many factors that affect the impact of effectiveness. In previous studies, less attention given to process knowledge and therefore, this paper highlights significance processes. Enhanced networks have better performance when sharing is present, it identify eliminate any complexity improve Methods: A systematic review on literature conducted critically evaluate which transfer. Findings: The...

Abstract S500MC steel is a grade of high-strength low-alloy (HSLA) which widely used in the automotive industry and for agricultural machinery equipment. Considering properties this alloy, selection welding process parameters becomes essential to ensure that HSLA assemblies meet specific service requirements. In work, mechanical metallurgical produced by autogenous laser beam (LBW) automatic gas tungsten arc (GTAW) were compared. Tensile testing, metallography, hardness fractographic...

Previous studies have shown that composite fibre orientation angles can be optimised for specific load cases such as longitudinal or in-plane loading. However, the methodologies utilised in these cannot used general analysis of problems. This research presents a methodology whereby thickness laminated plates is minimised by optimising different cases. Therefore, effect transverse shear forces considered this study. Simulated annealing (SA), which type stochastic optimisation method, to...

Abstract Designing thin‐walled structural members is a complex process due to the possibility of multiple instabilities. This study aimed develop machine learning algorithms predict buckling behavior channel elements under axial compression or bending. The were trained using feed‐forward multi‐layer Artificial Neural Networks (ANNs), with input variables including cross‐sectional dimensions, thickness, presence and location intermediate stiffeners, element length. output data included...

One of the first 1D constitutive equations for shape memory alloys (SMA) was presented by Brinson; it became basis later works, typically. In Brinson's equation, several proposed functions are considered in order to simplify model and obtain equation SMA. a recent paper, Buravalla Khandelwal have shown certain anomalies tried present modified which unlike satisfies compatibility condition. However, their formulation, besides being lengthy, lacks clarity particular does not address proper...

In this research, primarily designing and manufacturing of Double Acting Pick Place robot (DAP) mechanism, along with its kinematic dynamic analysis aiming at elimination human force usage in contaminated industrial environment such as coating process shops is introduced analyzed. Simulations the robot’s movement control procedure via nonlinear adaptive-robust inverse controllers are applied order to overcome their uncertainties. The main function epoxy powder on “Hawel” gate valves...

Bending buckling behavior of single-walled carbon nanotubes (SWCNTs) is modeled by means finite element method (FEM) and the relations between critical bending curvature geometrical parameters are determined. Elastic modulus wall thickness chosen in a way that elastic shell theory capable predicting mechanical properties nanotubes. The effect initial internal stress state through investigated. Computed results very close to molecular dynamics simulation.

Current methods of estimating the behaviour marine composite structures under pressure due to slamming as a result high waves are based on trial and error or oversimplification.Normally these conditions non-linearities often neglected and, in order compensate, an overestimated safety factor is employed.These conservative approaches can heavier overdesigned structures.In this paper, new semi-empirical method proposed that overcomes some problems.This work involved use artificial neural...

While cold-formed steel (CFS) structural elements can offer significant advantages, such as lightweight, quick installation, and flexibility in cross sections, their complex design process has hindered wide applications common practice. To address this issue, paper aims to develop Machine Learning (ML) algorithms predict the buckling resistance of CFS channels with restrained flanges, widely used typical sheathed wall panels, provide practical tools for engineers. The effects cross-sectional...

This study presents novel research on the seismic behavior of self-centering reduced beam section (RBS) connections in steel structures. Unlike traditional moment frames that concentrate non-elastic deformations energy dissipation devices, innovative RBS utilize post-tensioning techniques to restore structure its pre-earthquake condition. By significantly reducing residual deformations, these offer a promising alternative for improving resilience. To validate effectiveness post-tensioned...

Ribbed cylindrical Glass Reinforced Plastic (GRP) tanks are currently designed using simplified theory the results of which then verified by extensive destructive testing. This approach is expensive and can only generate non-optimal design solutions. In addition, there often a high degree discrepancy between theoretical experimental necessitates use undesirably factors safety, in turn excessive material with concomitant increase cost, weight manufacturing time. The primary aim this...