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Metal Forming Simulation Techniques

Metal Forming Simulation Techniques is a research topic within Mechanical Engineering. Science Explorer counts 42k research works in it since 1950. 12.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the study of ductile fracture in sheet metal forming processes, with an emphasis on anisotropic yield functions, plasticity, and fracture mechanics. It covers topics such as incremental forming, formability, triaxial loading effects, void growth, microforming, and springback simulation.

  • Ductile Fracture
  • Sheet Metal Forming
  • Anisotropic Yield Function
  • Plasticity and Fracture
  • Incremental Forming
  • Formability
  • Triaxial Loading
  • Void Growth
  • Microforming
  • Springback Simulation
Research works
42k
fractional, since 1950
In the world top 10%
5.2k
per year above
Top-10% rate
12.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-3%
the tick is no change

Which countries lead Metal Forming Simulation Techniques research?

By volume, China and India publish the most (1.7k and 529 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.7k works
  2. 2 India 529 works
  3. 3 Germany 396 works
  4. 4 United States 344 works
  5. 5 Japan 292 works
  6. 6 South Korea 151 works
  7. 7 Russia 150 works
  8. 8 Iran 139 works
  9. 9 France 138 works
  10. 10 Indonesia 134 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 43.5%India: 13.2%Germany: 9.9%United States: 8.5%6 others listed: 25.0%43%largest
China1,748 · 43.5%India529 · 13.2%Germany396 · 9.9%United States344 · 8.5%6 others listed1,004 · 25.0%

Shares of the rows listed above, not of the whole node.

Which institutions lead Metal Forming Simulation Techniques research?

By volume in 2022–2025, Shanghai Jiao Tong University publishes the most Metal Forming Simulation Techniques research, followed by Central South University and Harbin Institute of Technology.

Who are the leading researchers in Metal Forming Simulation Techniques?

The most-cited researchers publishing on Metal Forming Simulation Techniques include Dierk Raabe, Ted Belytschko and John W. Hutchinson.

  1. 1 Dierk Raabe Germany 4.5k citations
  2. 2 Ted Belytschko United States 4.1k citations
  3. 3 John W. Hutchinson United States 3.2k citations
  4. 4 Terence G. Langdon United States 3k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Metal Forming Simulation Techniques research done?

The largest centres of Metal Forming Simulation Techniques research in 2022–2025 are Beijing (China), Shanghai (China), Xi'an (China) and Tokyo (Japan). Among places with at least 20 works in it, it is an unusually large share of all research in Paderborn, Qinhuangdao and Aachen.

Largest cities, 2022–2025

  1. 1 Beijing China 265 works
  2. 2 Shanghai China 149 works
  3. 3 Xi'an China 120 works
  4. 4 Tokyo Japan 92 works
  5. 5 Wuhan China 87 works
  6. 6 Changsha China 78 works
  7. 7 Nanjing China 75 works
  8. 8 Harbin China 71 works
  9. 9 Shenyang China 62 works
  10. 10 Taiyuan China 60 works

Where it is the local speciality

  1. PaderbornDE · 23.0 works25×
  2. QinhuangdaoCN · 43.5 works20×
  3. AachenDE · 47.1 works10.0×
← less than its size predictsmore →

Location quotient: how much more of its research is in Metal Forming Simulation Techniques than the world average.

See Metal Forming Simulation Techniques on the map

Where is the best place to study Metal Forming Simulation Techniques?

Among universities, judged by research, Taiyuan University of Technology, Universität der Bundeswehr München and Imperial College London score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%10%20%mean 15.73%fractional works in this node (log) →share in the world top 10% →Taiyuan University of Technology: 22, 23.5%Universität der Bundeswehr München: 10, 20.6%Imperial College London: 21, 19.8%RWTH Aachen University: 44, 7.4%Shanghai Jiao Tong University: 69, 14.7%University of Science and Technology Beijing: 50, 9.7%Northeastern University: 35, 17.4%Central South University: 54, 18.0%Iran University of Science and Technology: 15, 12.8%University of New Hampshire: 11, 13.4%Taiyuan University o…Universität der Bund…Imperial College Lon…RWTH Aachen University
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Taiyuan University of TechnologyChina 64.023.5%9.9×22 -17.2%
2 Universität der Bundeswehr MünchenGermany 63.520.6%15.8×10 +143.6%
3 Imperial College LondonUnited Kingdom 59.519.8%4.3×21 +149.6%
4 RWTH Aachen UniversityGermany 56.67.4%11.5×44 +19.9%
5 Shanghai Jiao Tong UniversityChina 55.414.7%6.0×69 -9.3%
6 University of Science and Technology BeijingChina 55.19.7%11.8×50 -40.8%
7 Northeastern UniversityChina 55.017.4%7.4×35 -11.1%
8 Central South UniversityChina 54.518.0%6.1×54 -43.4%
9 Iran University of Science and TechnologyIran 54.412.8%10.1×15 +65.6%
10 University of New HampshireUnited States 53.113.4%22.4×11 +66.0%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Metal Forming Simulation Techniques research growing?

Output in 2018–2022 was 3% lower than in 2013–2017, peaking in 2011. The fastest-growing topics are Metal Forming Simulation Techniques.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.