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research

Implementation of Abaqus user subroutines and plugin for thermal analysis of powder-bed electron-beam-melting additive manufacturing process

Submitted by Jinxiong Zhou on
research
additive manufacturing simulation

Electron beam melting (EBM) is a metal powder bed fusion additive manufacturing (AM) technology that is widely used for making three-dimensional (3D) objects by adding materials layer by layer. EBM is a very complex thermal process which involves several physical phenomena such as moving heat source, material state change, and material deposition. Conventionally, these phenomena are implemented using in-house codes or embedding some user subroutines in commonly used commercial software packages, like Abaqus, which generally requires considerable expertise.

Energy absorption mechanisms of nanoscopic multilayer structures under ballistic impact loading

Submitted by Nuwan Dewapriya on
research
Ultrahigh Strain Rates
Adiabatic Shock Heating
Shock Wave Propagation
Shock Hugoniot
Spallation
molecular dynamics

 

Our latest article on the ballistic performance of polymer/metal nanostructures is freely available for 50 days from today: https://authors.elsevier.com/a/1cy9c3In-urcWx

Global Composites Experts Webinar by Dr. R. Byron Pipes

Submitted by Wenbin Yu on
research
Global composites experts webinars

cdmHUB invites you to attend the Global Composites Experts Webinar Series. 

Title: Rheology of Carbon Fiber Thermoplastic Polymer Composites

Speaker: Dr.  R. Byron Pipes

Time: 4/22, 11AM-12PM EST.

Please go to https://www.purdue.edu/cmsc/events/2020-webinars/ to register for this webinar.

Atomic-Scale Investigation on the Mechanical Behavior of Ultrathin Multilayers Under Shock Loading

Submitted by Nuwan Dewapriya on
research
Ballistic Impact Response
Ultrahigh Strain Rates
Adiabatic Shock Heating
Shock Wave Propagation
Shock Hugoniot
Spallation
Ballistic Limit Velocity
molecular dynamics
DFT

Recent advances in microprojectile impact tests have opened a new route to explore the behaviors of nanomaterials under extreme dynamic conditions. For example, impact tests have revealed that the specific penetration energies of ultrathin polymer films are remarkably high compared to the energies of conventional protective materials. The current experimental techniques are, however, unable to elucidate some of the complex atomistic mechanisms associated with the penetration process, which can only be realized through atomistic simulations.

A Review of Damage, Void Evolution, and Fatigue Life Prediction Models

Submitted by Cemal Basaran on
research
void growth
void growth and coalescence
Entropy; Damage; Plasticity; Fatigue; Fracture; Failure; Structural Health;

Our new review article [open acess] on damage, void evolution, and fatigue life prediction models. We tried to include everything done in the last 20 years. My apologies if we missed your work.
Metals | Free Full-Text | A Review of Damage, Void Evolution, and Fatigue Life Prediction Models (mdpi.com)

https://lnkd.in/dH9UtcC

Pendulum tuned mass dampers and tuned mass dampers: Analogy and optimum parameters for various combinations of response and excitation parameters

Submitted by Payam Soltani on
research
pendulum absorbers
Tuned mass dampers
vibration control
optimisation
equal peak method

 

Link to the paper

Abstract:

On the Effect of Shear Loading Rate on Contact Area Shrinking in Adhesive Soft Contacts

Submitted by Antonio Papangelo on
research
Adhesion and fracture; adhesion; contact mechanics; friction

Adhesion and, its interplay with friction, is central in several engineering applications involving soft contacts. Recently, there has been an incredible push towards a better understanding on how the apparent contact area evolves when a shear load is applied to an adhesive soft contact, both experimentally and theoretically. Although soft materials are well-known to exhibit rate-dependent properties, there is still a lack of understanding in how the loading rate could affect the contact area shrinking.

A micromechanics-based deep learning model for short fiber composites

Submitted by Mirkhalaf on
research
deep learning
micromechanics
short fiber composites

If you are curious about application of machine learning techniques in mechanics problems, our latest paper is probably interesting for you. In this paper, we are proposing a micromechanics-based artificial neural networks model for short fiber composites. You can find the paper here: https://www.sciencedirect.com/science/article/pii/S1359836821001281 

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