Engineering Commons^™

Bibliometric Analysis On Artificial Compressibility Method Based Cfd Simulations, Bhavna Hemraj Joshi Miss, Chandrakant R. Sonawane Dr, Priyambada Bada Praharaj Mrs, Anand Kumar Pandey Dr

Library Philosophy and Practice (e-journal)

This bibliometric analysis in this paper aims to study the quantitative progress done in the artificial compressibility (AC) method-based CFD simulation and analyze its potential in solving incompressible flow simulations in computational fluid dynamics smoothly. The sector of CFD is enhancing more and more maturely due to advancements in computing architecture, numerical methods, and simulation tools. There have been various attempts to solve the pressure-velocity coupling issue in the Navier-Stokes equation. The artificial compressibility method (ACM), as opposed to pressure-correction methods, solves the incompressible equation in a non-segregated manner. With the introduction of the ACM, the system of the equation …

Novel And Fast Peridynamic Models For Material Degradation And Failure, Siavash Jafarzadeh

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

Fracture is one of the main mechanisms of structural failure. Corroded surfaces with chemically-induced damage are, notably, potential sites for crack initiation and propagation in metals, which can lead to catastrophic failure of structures. Despite some progress in simulating fracture and damage using classical models, realistic prediction of complex damage progression and failure has been out of reach for many decades. Peridynamics (PD), a nonlocal theory introduced in 2000, opened up new avenues in modeling material degradation and failure. Existing numerical methods used to discretize PD equations, however, are quite expensive as the PD nonlocal interactions make them unaffordable for …

Artificial Intelligence-Driven Remaining Useful Life Prediction Of A Machinery-A Review, Dvij Barot, Honey Sharma, Mahika Yadav, Pooja Kamat

Library Philosophy and Practice (e-journal)

The Remaining Useful Life of a machine is very useful statistical information for the operator and manufacturer. It provides a very clear perspective to the user how long the machine can be operated and if any faults are detected how can they be prevented and ultimately increase the Remaining Useful Life. If the operators are aware of the forthcoming issues of the machine the downtime caused in the inspection, part delivery and eventually replacing parts is significantly reduced.

The paper presents a study on the remaining useful life of machinery as it is an emerging technique, starting from the year …

Utilizing Vr For Manufacturing Learning And Training, Jetrin Wichienwidhtaya

WWU Honors College Senior Projects

This paper looks into the world of virtual reality as seen from the manufacturing point of view, specifically inside manufacturing education. Virtual reality is growing within many industries including manufacturing and is a key piece in Industry 4.0. Every year, the capabilities of virtual reality grow as the resolution of screens progresses to the point where it can simulate near-perfect depictions of reality as processing power continues to grow. This opens a massive amount of potential into things like training. Especially in the current environment where learning virtually has become the norm, being able to have hands-on experience can help …

Gamification Of Icebreaking Activities For Mechanical Engineering Students Embarking On A Problem Based Learning Module, Kevin Delaney, Gerard Nagle, Mingzhu Chen

Conference papers

When they enter the workforce engineering graduates must be able to engage collaboratively with others to find solutions to complex engineering challenges. This involves a great deal more than simply solving technical problems traditionally taught in engineering school. The Mechanical Engineering Discipline in Technological University Dublin (TU Dublin) has helped students develop real-world engineering skills through a team based Problem Based Learning (PBL) module since 2005. This module, involving third year students, can be particularly challenging since participants can join the third year of the program from other programs or universities and many will not have known each other prior …