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A solid-shell model of hard-magnetic soft materials

Submitted by Fan Xu on

Hard-magnetic soft materials (HMSMs) consisting of an elastomer matrix filled with high remnant magnetic particles can exhibit flexible programmability and rapid shape changing under non-contact activation, showing promising potential applications in soft robotics, biomedical devices and flexible electronics. Precise predictions of large deformations of hard-magnetic soft materials would be a key for relevant applications.

Ph.D. position at the Technion – Israel Institute of Technology

Submitted by Mahmood Jabareen on

The research is concerned with modeling of electroactive soft materials. Preference will be given to candidates with background in nonlinear finite element methods and constitutive modeling.

If you are interested, please send an email to me at: cvjmah [at] technion.ac.il with a single PDF file containing your CV, grades, names of two references, and a brief description of how your experience and background meet the requirements for this position.

Hydrogen embrittlement susceptibility of additively manufactured 316L stainless steel: Influence of post-processing, printing direction, temperature and pre-straining

Submitted by Emilio Martíne… on




Dear iMechanicians,

Let me bring your attention what I believe is the most comprehensive study in the area of hydrogen embrittlement of additively manufactured materials. You can find all details here:

G. Álvarez, Z. Harris, K. Wada, C. Rodríguez, E. Martínez-Pañeda.
Hydrogen embrittlement susceptibility of additively manufactured Stainless Steel 316L: influence of postprocessing, printing direction, temperature and pre-straining. Additive Manufacturing 78, 103834 (2023)

Deep-learning model using a small dataset

Submitted by Mirkhalaf on

One the main challenges of developing data-driven models is the data-hungry nature of Artificial Neural Networks (ANNs). In our recent paper, we introduced a data augmentation approach to expand a small original dataset without conducting extra expensive high-fidelity simulations. We then used the original and augmented datasets for developing ANN models for non-linear path dependent composites. The obtained results showed the great impact of the data augmentation approach on the accuracy of the data-driven models.

Applied Mechanics Division Student Competition

Submitted by Executive Comm… on

The ASME AMD Division sponsors the Applied Mechanics Division Student Competition in Track 7 and Track 12, generously funded by the Haythornthwaite Foundation. Full-time students working on a project, thesis, or dissertation that is at a readiness for presentation at IMECE are encouraged to apply. 

Postdoc position at the University of Oxford on phase field modelling of corrosion fatigue

Submitted by Emilio Martíne… on

Dear iMechanicians,

Let me bring to your attention the following postdoc position in my lab at the University of Oxford:

https://eng.ox.ac.uk/jobs/job-detail/?vacancyID=171348

I am looking for an enthusiastic postdoc to conduct finite element simulations to predict corrosion fatigue. The closing date is March 22.

Prof Emilio Martinez-Paneda

University of Oxford

Ph.D. Opportunity in Aerospace and Mechanical Engineering at University of Oklahoma

Submitted by Yijie Jiang on

Organization: School of Aerospace and Mechanical Engineering, University of Oklahoma

Norman, Oklahoma, USA

Start date: Summer or Fall 2024

Descriptions:

Our research group has two projects for Ph.D. students.