Cellular Automata Approach to Aircraft Corrosion Pit Growth
نویسندگان
چکیده
Corrosion is one of the degrading mechanisms that greatly affect the structural integrity of aerospace components. Corrosion begins with small imperfections in the given material referred to as “pits”. Over time, and with exposure to the environment and loading stresses, these pits grow into structural cracks. These cracks, under further exposure to elements and stress, will eventually lead to material failure. To better understand how corrosion growth process takes place in materials, research is being conducted to simulate corrosion pit growth process using computational intelligence methods. The objective of this study is to develop a discrete dynamic model using cellular automata to simulate the pitting corrosion growth process in aircraft materials, and see how it affects the structural integrity.
منابع مشابه
Cellular Automata Approach to Corrosion and Passivity Phenomena
Our research on employing the cellular automata methodology to corrosion and passivation phenomena is reviewed. Examples of a peculiar pit development are found and presented. The diffusion rate in the corroding medium is argued and shown in the simulation results to affect mainly the characteristic length scale for the corrosion process. New data for the pitting corrosion development on a plan...
متن کاملProbability Approach for Prediction of Pitting Corrosion Fatigue Life of Custom 450 Steel
In this study, the pitting type of corrosion growth characteristics, fatigue crack initiation and propagation behavior; axial fatigue tests were carried out on precipitation hardened martensitic Custom 450 steel in the air and 3.5wt% NaCl solution. Using the ratio of the depth to the half-width of the pits; (a/c)= 1.5±0.2 the corrosion pit depth growth law was obtained as a function of stress a...
متن کاملA Cellular Learning Automata (CLA) Approach to Job Shop Scheduling Problem
Job shop scheduling problem (JSSP), as one of the NP-Hard combinatorial optimization problems, has attracted the attention of many researchers during the last four decades. The overall purpose regarding this problem is to minimize maximum completion time of jobs, known as makespan. This paper addresses an approach to evolving Cellular Learning Automata (CLA) in order to enable it to solve the J...
متن کاملUrban Growth Modeling using Integrated Cellular Automata and Gravitational Search Algorithm (Case Study: Shiraz City, Iran)
Cities are growing and encountering many changes over time due to population growth and migration. Identification and detection of these changes play important roles in urban management and sustainable development. Urban growth models are divided into two main categories: first cellular models which are further divided into experimental, dynamic, and integrated models and second vector models. ...
متن کاملEnergy Efficient Novel Design of Static Random Access Memory Memory Cell in Quantum-dot Cellular Automata Approach
This paper introduces a peculiar approach of designing Static Random Access Memory (SRAM) memory cell in Quantum-dot Cellular Automata (QCA) technique. The proposed design consists of one 3-input MG, one 5-input MG in addition to a (2×1) Multiplexer block utilizing the loop-based approach. The simulation results reveals the excellence of the proposed design. The proposed SRAM cell achieves 16% ...
متن کامل