Cutting-Edge Developments in Computational and Experimental Mechanics

A special issue of Applied Mechanics (ISSN 2673-3161).

Deadline for manuscript submissions: 20 December 2025 | Viewed by 409

Special Issue Editors


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Guest Editor
Thermofluids Division, School of Mechanical, Industrial and Aeronautical Engineering, University of the Witwatersrand, Braamfontein, Johannesburg 2000, South Africa
Interests: heat transfer; CFD; multi-phase flow; nanofluids
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Guest Editor
Applied Mechanics Division, School of Mechanical, Industrial and Aeronautical Engineering, University of the Witwatersrand, Braamfontein, Johannesburg 2000, South Africa
Interests: vibration; acoustics & ultrasound; guided wave ultrasound for NDE & SHM; piezoelectric transducers
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The field of applied mechanics has witnessed significant advancements in recent years, driven by the integration of computational simulations, experimental techniques, and machine learning-based optimization. With the increasing complexity of engineering problems, novel approaches that combine theoretical foundations with real-world applications would enhance the accuracy, efficiency, and predictive capabilities of mechanics-related research.

This Special Issue aims to highlight state-of-the-art research in computational and experimental mechanics, addressing emerging challenges in structural mechanics, fluid–structure interaction, solid mechanics, and thermomechanical systems. We therefore welcome contributions that propose new methodologies, validate numerical models via experimentation, or apply advanced computational tools to real-world applications.

This Special Issue seeks to:

  1. Advance Computational Techniques: Explore novel numerical methods, including finite element analysis (FEA), boundary element methods (BEM), and mesh-free methods.
  2. Enhance Experimental Validation: Highlight innovative experimental techniques that enable the validation of computational models, including digital image correlation, laser Doppler vibrometry, and non-destructive testing.
  3. Integrate Data-Driven Approaches: Investigate the role of artificial intelligence (AI), machine learning (ML), and optimization techniques in solving applied mechanics problems.
  4. Explore Multi-Scale and Multi-Physics Interactions: Address the challenges associated with coupled mechanical systems, including fluid–structure interaction (FSI), thermomechanics, and biomechanics.
  5. Promote Sustainable Engineering Solutions: Encourage research that contributes to energy-efficient designs, lightweight structures, and environmentally friendly materials.
  6. Facilitate Interdisciplinary Collaboration: Provide a platform for researchers across disciplines such as mechanical engineering, materials science, aerospace engineering, and biomedical engineering to exchange knowledge.

Prof. Dr. Mohsen Sharifpur
Dr. Philip Loveday
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Mechanics is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • computational mechanics and numerical methods
  • finite element analysis (FEA) and mesh-free methods
  • experimental mechanics and validation techniques
  • fluid–structure interaction and multiphysics modeling
  • machine learning and AI in mechanics
  • structural mechanics, dynamics and vibration analysis
  • biomechanics and soft tissue mechanics
  • optimization in engineering design
  • thermomechanical and energy systems
  • materials characterization and failure mechanics
  • robotics and mechatronics

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Published Papers (1 paper)

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Research

25 pages, 5884 KB  
Article
Influence of Post-Curing Time and Print Orientation on the Mechanical Behavior of Photosensitive Resins in mSLA 3D Printing
by Geraldo Cesar Rosario de Oliveira, Vania Aparecida Rosario de Oliveira, Carla Carvalho Pinto, Luis Felipe Barbosa Marques, Tuane Stefania Reis dos Santos, Antonio dos Reis de Faria Neto, Carlos Alexis Alvarado Silva, Marcelo Sampaio Martins, Fernando de Azevedo Silva and Erick Siqueira Guidi
Appl. Mech. 2025, 6(3), 71; https://doi.org/10.3390/applmech6030071 - 11 Sep 2025
Viewed by 95
Abstract
This study investigates the mechanical behavior of water-washable photosensitive resins used in masked stereolithography (mSLA) 3D printing, evaluating the effect of post-curing time (0, 5, 10, 30, and 60 min) and printing orientation (Flat [XY], Vertical [Z], and On-edge [XZ]) on the material [...] Read more.
This study investigates the mechanical behavior of water-washable photosensitive resins used in masked stereolithography (mSLA) 3D printing, evaluating the effect of post-curing time (0, 5, 10, 30, and 60 min) and printing orientation (Flat [XY], Vertical [Z], and On-edge [XZ]) on the material characteristics. Specimens were manufactured according to ISO 527-2 type 1B and ISO 178 standards for tensile and bending tests, respectively. A Matlab algorithm was developed to automate the processing of experimental data. This tool enabled the extraction of parameters to fit distinct mathematical models for the elastic (linear) and nonlinear (polynomial) regimes, allowing the material response to be characterized at different curing times and print orientations. These models were implemented in Ansys Workbench for comparison with experimental results. The results show that increasing the post-curing time from 0 to 60 min raises the elastic modulus from 964.5 to 1892.4 MPa in the Flat [XY] orientation and from 774 to 1661.2 MPa in the Vertical [Z] orientation for tensile testing. In bending testing, the Flat [XY] orientation presented the best mechanical properties, while the Vertical [Z] and On-edge [XZ] orientations showed similar behavior. The numerical simulations adequately reproduced the experimental results, validating the developed constitutive models. Finally, a stress–strain correlation model is presented that enables estimation for any post-curing time between 0 and 60 min. This study provides essential data for optimizing 3D printing processes and developing structural applications with photopolymer resins. Full article
(This article belongs to the Special Issue Cutting-Edge Developments in Computational and Experimental Mechanics)
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