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Intelligent Manufacturing Processing and Equipment for High-Performance Alloy Components
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Intelligent Manufacturing Processing and Equipment for High-Performance Alloy Components

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Manufacturing Processes and Systems".

Deadline for manuscript submissions: closed (20 March 2023) | Viewed by 9096

Special Issue Editors

Dr. Dong-Xu Wen

E-Mail Website
Guest Editor
State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: steels and alloys; microstructure; deformation and fracture mechanisms; mechanical properties; wire arc additive manufacturing; plastic deformation; thermomechanical processing
Prof. Dr. Yong-Cheng Lin

E-Mail Website
Guest Editor
School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China
Interests: alloys; intelligent manufacturing processing; heat treatment; microstructure; deformation mechanisms; properties
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Due to the pursuit of high-performance products, the precise shape-performance control of the critical alloy components becomes increasingly important, which further intensifies the complexity of the manufacturing process. Different forming processes, including stamping, forging, extrusion, rolling, additive manufacturing, and some other advanced technologies, are applied in the manufacture of critical components. Moreover, some new technologies, such as artificial intelligence, machine learning and big data, integrating with the forming processes, show a strong power to find the optimal processing parameters to obtain precise shape-performance control of the critical components. Thus, it is of great importance to investigate intelligent manufacturing processing and equipment for high-performance alloy components.

It is my pleasure to invite you to submit research articles and review papers to this Special Issue on the intelligent manufacturing processing and equipment for high-performance alloy components. Various intelligent methods, manufacturing processes, manufacturing equipment, and alloys are desirable. I believe that this Special Issue will inspire many scientists who have been pursuing a greater understanding of the advanced manufacturing of alloys.

Dr. Dong-Xu Wen
Prof. Dr. Yong-Cheng Lin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Materials is an international peer-reviewed open access semimonthly 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 2600 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

  • alloys
  • intelligence manufacturing
  • forming processing
  • shape-performance control
  • deformation

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Published Papers (3 papers)

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Research

29 pages, 8351 KiB  
Article
Substitutive Press-Bolster and Press-Ram Models for the Virtual Estimation of Stamping-Tool Cambering
by Farshad Abbasi, Alex Sarasua, Javier Trinidad, Nagore Otegi, Eneko Saenz de Argandoña and Lander Galdos
Materials 2022, 15(1), 279; https://doi.org/10.3390/ma15010279 - 30 Dec 2021
Cited by 3 | Viewed by 2454
Abstract
Today’s stamping simulations are realized by ignoring the elastic deformation of the press and tooling system through the assumption of a rigid behavior and a perfect press stroke. However, in reality, the press and tool components deform elastically and are one of the [...] Read more.
Today’s stamping simulations are realized by ignoring the elastic deformation of the press and tooling system through the assumption of a rigid behavior and a perfect press stroke. However, in reality, the press and tool components deform elastically and are one of the major error sources for the final adjustment and blue-spotting of the dies. In order to tackle this issue, a new approach is proposed in this study that substitutes the press stiffness by means of a substitutive model composed of cost-effective shell and beam elements. The substitute model was calibrated using full-scale measurements, in which a 20,000 kN trial press was experimentally characterized by measuring its deformation under static loads. To examine the robustness of the substitute model, a medium-size tool and a large-size tool were simulated together with the substitutive model. To this end, a B-pillar tool was re-machined based on the substitute-model results and a new cambering procedure was proposed and validated throughout the blue-painting procedure. The newly developed substitute model was able to replicate the global stiffness of the press with a high accuracy and affordable calculation time. The implementation of the findings can aid toolmakers in eliminating most of the reworking and home-line trials. Full article
(This article belongs to the Special Issue Intelligent Manufacturing Processing and Equipment for High-Performance Alloy Components)
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13 pages, 6017 KiB  
Article
Evolution of Annealing Twins in a Hot Deformed Nickel-Based Superalloy
by Yu-Chi Xia, Xiao-Min Chen, Yong-Cheng Lin and Xian-Zheng Lu
Materials 2022, 15(1), 7; https://doi.org/10.3390/ma15010007 - 21 Dec 2021
Cited by 8 | Viewed by 3295
Abstract
The hot deformation characteristics of a GH4169 superalloy are investigated at the temperature and strain rate ranges of 1193–1313 K and 0.01–1 s−1, respectively, through Gleeble-3500 simulator. The hot deformed microstructures are analyzed by optical microscopy (OM), transmission electron microscopy (TEM), [...] Read more.
The hot deformation characteristics of a GH4169 superalloy are investigated at the temperature and strain rate ranges of 1193–1313 K and 0.01–1 s−1, respectively, through Gleeble-3500 simulator. The hot deformed microstructures are analyzed by optical microscopy (OM), transmission electron microscopy (TEM), and electron backscattered diffraction (EBSD) technology. The effects of deformation parameters on the features of flow curves and annealing twins are discussed in detail. It is found that the shapes of flow curves are greatly affected by the deformation temperature. Broad peaks appear at low deformation temperatures or high strain rates. In addition, the evolution of annealing twins is significantly sensitive to the deformation degree, temperature, and strain rate. The fraction of annealing twins first decreases and then rises with the added deformation degree. This is because the initial annealing twin characters disappear at the relatively small strains, while the annealing twins rapidly generate with the growth of dynamic recrystallized grains during the subsequent hot deformation. The fraction of annealing twins is relatively high when the deformation temperature is high or the strain rate is low. In addition, the important role of annealing twins on dynamic recrystallization (DRX) behaviors are elucidated. The obvious bulging at initial twin boundaries, and the coherency of annealing twin boundaries with dynamic recrystallized grain boundaries, indicates that annealing twins can motivate the DRX nucleation during the hot deformation. Full article
(This article belongs to the Special Issue Intelligent Manufacturing Processing and Equipment for High-Performance Alloy Components)
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11 pages, 4654 KiB  
Article
Study of Grain Growth in a Ni-Based Superalloy by Experiments and Cellular Automaton Model
by Yan-Xing Liu, Zhi-Jiang Ke, Run-Hua Li, Ju-Qing Song and Jing-Jing Ruan
Materials 2021, 14(22), 6922; https://doi.org/10.3390/ma14226922 - 16 Nov 2021
Cited by 6 | Viewed by 2250
Abstract
The grain growth behavior in a typical Ni-based superalloy was investigated using isothermal heat treatment experiments over a holding temperature range of 1353–1473 K. The experimental results showed that the grain structure continuously coarsened as the holding time and holding temperature increased during [...] Read more.
The grain growth behavior in a typical Ni-based superalloy was investigated using isothermal heat treatment experiments over a holding temperature range of 1353–1473 K. The experimental results showed that the grain structure continuously coarsened as the holding time and holding temperature increased during heat treatment. A classical parabolic grain growth model was used to explore the mechanism of grain growth under experimental conditions. The grain growth exponent was found to be slightly above 2. This indicates that the current grain growth in the studied superalloy is mainly governed by grain boundary migration with a minor pinning effect from the precipitates. Then, the grain growth in the studied superalloy during isothermal heat treatment was modelled by a cellular automaton (CA) with deterministic state switch rules. The microscale kinetics of grain growth is described by the correlation between the moving velocity and curvature of the grain boundary. The local grain boundary curvature is well evaluated by a template disk method. The grain boundary mobility was found to increase with increasing temperature. The relationship between the grain boundary mobility and temperature has been established. The developed CA model is capable of capturing the dependence of the grain size on the holding time under different holding temperatures. Full article
(This article belongs to the Special Issue Intelligent Manufacturing Processing and Equipment for High-Performance Alloy Components)
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