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Editorial

Numerical and Experimental Advances in Innovative Manufacturing Processes

by
Ricardo J. Alves de Sousa
1,* and
Mehdi Safari
2
1
TEMA—Centre for Mechanical Technology and Automation, Department of Mechanical Engineering, University of Aveiro, Campus de Santiago, 3810-193 Aveiro, Portugal
2
Department of Mechanical Engineering, Arak University of Technology, Arak 38181-8411, Iran
*
Author to whom correspondence should be addressed.
Metals 2021, 11(8), 1273; https://doi.org/10.3390/met11081273
Submission received: 8 July 2021 / Revised: 24 July 2021 / Accepted: 5 August 2021 / Published: 12 August 2021

1. Introduction

The severe competition in an international market pushes manufacturing companies to continuously improve current processes in the quest to minimize errors, reduce waste and speed up the entire idea-to-product cycle, while maintaining low costs. In addition, product development times are shorter and sometimes highly customized according to clients’ needs, therefore demanding great adaptivity from manufacturing plants.
In this sense, besides improving current manufacturing techniques, it is imperative to search for new manufacturing techniques emphasizing an increase in the accuracy and quality of manufactured products, along with a reduction in production costs. Particularly within the scope of the various forms of processing metallic materials, these techniques must encompass additive, subtractive, joining or shape-changing techniques that have become the drivers for numerous new research lines.
Numerical and experimental methods have continuously improved to provide a better analysis and understanding of several of these innovative manufacturing processes, studying their advantages and drawbacks compared to more classical methods.
This publication encloses a set of contributions on topics that include studies ranging from laser forming to casting, and from grinding to tube drawing.

2. Contributions

The aforementioned topics could be addressed in several published manuscripts. Grain refinement, which may confer greater formability for a wide range of metallic materials due to twist extrusion, was numerically analysed by Joudaki et al. [1] and Yalcinkaya et al. [2]. Improved PCBN (Polycrystalline Cubic Boron Nitride) tools for milling operations were discussed and experimented on by Wang et al. [3], giving an important contribution to the field of the machining of hard materials. In [4], phenomenological anisotropic yield functions, which are still the most cost-effective way to predict the elasto-plastic behaviour of complex anisotropic metallic sheets, were revisited in the context of hydrodynamic deep drawing. Returning to cutting and machining related techniques, innovative insights into the grinding process were studied experimentally and numerically, respectively, in references [5,6]. Hahn and Tekkaya [7] addressed both the numerics and experiments regarding the use of Vaporizing Foil Actuators (VFA) as an innovative and extremely fast sheet-metal forming methodology. Laser forming technology received attention from Safari et al. in the works [8] and [9], the former as a state-of-art review in the field. The hydroforming process for the manufacture of complex shapes, such as metallic bellows, was performed by Safari et al. [10]. A low-pressure die cast of aluminum automotive wheels was modelled and validated by Ou et al. [11], while Jardin et al. [12] employed additive manufacturing and 42CrMo4 steel in a very disruptive investigation. Finally, Al-Hamdany [13] revisited the tube drawing process, which included anisotropy and die-tilting for eccentricity.
In this sense, a wide range of materials, processes and investigation methodologies were researched in this Special Issue.

3. Acknowledgments

The guest editors would like to thank all of the authors for submitting their excellent work to this Special Issue. Furthermore, we would like to thank all the reviewers for their outstanding work in evaluating the manuscripts and providing helpful comments. The guest editors would also like to thank the MDPI team involved in the preparation, editing, and managing of this Special Issue. Finally, we would like to express our sincere gratitude to Ms. Sunny He, the contact editor of this Special Issue, for her kind, efficient, professional guidance and support throughout the whole process. We would not be able to reach the above collection of high-quality papers without this joint effort.
Ricardo Alves de Sousa is currently an Assistant Professor habilitating at the Department of Mechanical Engineering at the University of Aveiro (Portugal), and a member of the Center of Mechanical Technology (TEMA) research unit. In 2006, he obtained a PhD degree in Mechanical Engineering from the University of Aveiro, Portugal. He has more than 100 scientific contributions, in papers, book chapters and books, and he is the author of three patents. In 2011, he received the international scientific ESAFORM (European Association of Material Forming) career prize. In 2013 he received the Innovation Prize from APCOR (Portuguese Association for Cork), and for March 2015 was researcher of month at the University of Aveiro.
Mehdi Safari is currently an Associate Professor at the Department of Mechanical Engineering at the Arak University of Technology (Iran). In 2013, he obtained a PhD degree in Mechanical Engineering from the Isfahan University of Technology (Iran). He has published over 80 scientific papers on advanced manufacturing methods.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Joudaki, J.; Safari, M.; Alhosseini, S.M. Hollow Twist Extrusion: Introduction, Strain Distribution, and Process Parameters Investigation. Met. Mater. Int. 2019, 25, 1593–1602. [Google Scholar] [CrossRef]
  2. Yalçinkaya, T.; Şimşek, Ü.; Miyamoto, H.; Yuasa, M. Numerical Analysis of a New Nonlinear Twist Extrusion Process. Metals 2019, 9, 513. [Google Scholar] [CrossRef] [Green Version]
  3. Wang, G.; Zhou, X.; Wu, X.; Ma, J. Failure and Control of PCBN Tools in the Process of Milling Hardened Steel. Metals 2019, 9, 885. [Google Scholar] [CrossRef] [Green Version]
  4. Wang, C.; Li, D.; Meng, B.; Wan, M. Effect of Anisotropic Yield Functions on Prediction of Critical Process Window and Deformation Behavior for Hydrodynamic Deep Drawing of Aluminum Alloys. Metals 2020, 10, 492. [Google Scholar] [CrossRef] [Green Version]
  5. Urgoiti, L.; Barrenetxea, D.; Sánchez, J.; Lanzagorta, J. Detailed Thermo-Kinematic Analysis of Face Grinding Operations with Straight Wheels. Metals 2020, 10, 524. [Google Scholar] [CrossRef]
  6. Qian, N.; Zhao, Z.; Fu, Y.; Xu, J.; Chen, J. Numerical Analysis on Temperature Field of Grinding Ti-6Al-4V Titanium Alloy by Oscillating Heat Pipe Grinding Wheel. Metals 2020, 10, 670. [Google Scholar] [CrossRef]
  7. Hahn, M.; Tekkaya, A. Experimental and Numerical Analysis of the Influence of Burst Pressure Distribution on Rapid Free Sheet Forming by Vaporizing Foil Actuators. Metals 2020, 10, 845. [Google Scholar] [CrossRef]
  8. Safari, M.; Alves de Sousa, R.; Joudaki, J. Fabrication of Saddle-Shaped Surfaces by a Laser Forming Process: An Experimental and Statistical Investigation. Metals 2020, 10, 883. [Google Scholar] [CrossRef]
  9. Safari, M.; Alves de Sousa, R.; Joudaki, J. Recent Advances in the Laser Forming Process: A Review. Metals 2020, 10, 1472. [Google Scholar] [CrossRef]
  10. Safari, M.; Joudaki, J.; Ghadiri, Y. A Comprehensive Study of the Hydroforming Process of Metallic Bellows: Investigation and Multi-objective Optimization of the Process Parameters. Int. J. Eng. 2019, 32, 1681–1688. [Google Scholar] [CrossRef]
  11. Ou, J.; Wei, C.; Cockcroft, S.; Maijer, D.; Zhu, L.; Lateng, A.; Li, C.; Zhu, Z. Advanced Process Simulation of Low Pressure Die Cast A356 Aluminum Automotive Wheels—Part II Modeling Methodology and Validation. Metals 2020, 10, 1418. [Google Scholar] [CrossRef]
  12. Jardin, R.; Tuninetti, V.; Tchuindjang, J.; Hashemi, N.; Carrus, R.; Mertens, A.; Duchêne, L.; Tran, H.; Habraken, A. Sensitivity Analysis in the Modelling of a High Speed Steel Thin-Wall Produced by Directed Energy Deposition. Metals 2020, 10, 1554. [Google Scholar] [CrossRef]
  13. Al-Hamdany, N.; Salih, M.; Palkowski, H.; Carradò, A.; Gan, W.; Schell, N.; Brokmeier, H. Tube Drawing with Tilted Die: Texture, Dislocation Density and Mechanical Properties. Metals 2021, 11, 638. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Alves de Sousa, R.J.; Safari, M. Numerical and Experimental Advances in Innovative Manufacturing Processes. Metals 2021, 11, 1273. https://doi.org/10.3390/met11081273

AMA Style

Alves de Sousa RJ, Safari M. Numerical and Experimental Advances in Innovative Manufacturing Processes. Metals. 2021; 11(8):1273. https://doi.org/10.3390/met11081273

Chicago/Turabian Style

Alves de Sousa, Ricardo J., and Mehdi Safari. 2021. "Numerical and Experimental Advances in Innovative Manufacturing Processes" Metals 11, no. 8: 1273. https://doi.org/10.3390/met11081273

APA Style

Alves de Sousa, R. J., & Safari, M. (2021). Numerical and Experimental Advances in Innovative Manufacturing Processes. Metals, 11(8), 1273. https://doi.org/10.3390/met11081273

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