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Kanga Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Republic of Korea asjkang@kaist.ac.kr Keywords: grain boundary structure, grain boundary migration, microstructural evolution, grain growth model, abnormal grain growth, nonstationary grain growth Abstract.
Ltd. though the Center for Advanced MLCC Manufacturing Processes.
Forum., 558-559 (2007) 827-834 [18] B.K.

Cañero1,a , Jose Solano1,a and Lorenzo Sevilla1,a 1Department of Civil, Materials and Manufacturing Engineering, Universidad de Málaga, C/Dr.
Oladijo, Microstructural, mechanical and corrosion properties of aluminium MIG welds reinforced with copper powder, International Journal of Advanced Manufacturing Technology, 105 (2019) 5181–5190, doi: 10.1007/s00170-019-04546-9
Pasquale, MIG-welding of dissimilar advanced high strength steel sheets, Materials Science Forum, 885 (2017) 80–85, doi: 10.4028/WWW.SCIENTIFIC.NET/MSF.885.80

Conclusion Grey theory can expediently combine with other uncertain theories to work out the problems of insufficient and incomplete information in mechanical engineering.
Tool Engineering. 42 (2008), p.27-30 [4]X.F.
Materials Science Forum Vols. 626-627 (2009), p. 605-610 [5]Deng Julong.
Grey System Theory and Its Application to Mechanical Engineering ( National University of Defense and Technology Publications, China 2001)
Computers & Industrial Engineering. 56 (2009), p.648-661 [8] Zhang Yongjuan, Zhang Xiong.

Schreyer, DiffractionBased Residual Stress Analysis Applied to Problems in the Aircraft Industry, Advanced Engineering Materials, 2007, 9, No. 8
Vöhringer, Materials Science and Engineering, 1983, Vol. 61, p. 43-50
Andreani, Advances in Physics, 1985, Vol. 34, No. 4, pp. 445-473, 1985
Winholtz, Materials Science and Engineering, 1994, Vol.
Wright, Materials Science and Engineering, 1997, Vol.

To solve these problems, researchers have adopted advanced numerical techniques and computing tools for finding a more precise approximation of complex mathematical models with boundary conditions in solving nonlinear models.
Capturing these dependencies is crucial for accurately modelling many practical engineering applications.
These limitations should be considered when interpreting the results and applying them to specific engineering applications.
Case Studies in Thermal Engineering (2020) 20-22
[15] Navid Namdari, Numerical Solution for Transient Heat Transfer in Longitudinal Fins, International Research Journal of Advanced Engineering and Science, 3 (2018) pp. 131-136

Yuan: Applications of polymer in concrete, Chemical Engineering Press, Beijing (2003)
Suzhou Academy of Building, Construction and Environmental Engineering Vol.30 (1998), p.10
The author should indicate on the checklist if he wishes to have them printed in full color and make the necessary payments in advance.
Forum Vol. 83-87 (1992), p. 119 [2] M.A.
Mishing, in: Diffusion Processes in Advanced Technological Materials, edtied by D.

Mehta1,a* and Rahul Patel2 1Department of Mechanical Engineering, School of Technology, Pandit Deendayal Petroleum University, Raisan – 382007, Gandhinagar, India 2Department of Mechanical Engineering, Shankersinh Vaghela Bapu Institute of Technology, Gandhinagar, India a*kush_2312@yahoo.com Keywords: friction stir welding, keyhole, pin less tool, properties, repairing Abstract.
Table 1 Process parameters and conditions of dissimilar friction stir welding Tool Design Process parameters Tool material: tool steel H13 grade Rotational speed: 1070 [rpm] Shoulder diameter: 20 [mm] Travel speed: 70 [mm/min] Tool pin diameter:7 [mm] Tool pin offset: 2 [mm] towards Mg Tool pin profile: cylindrical threaded Tilt angle: 3° Tool pin length: 5.8 [mm] Workpiece material position: Al on advancing side and Mg on retreating side Shoulder to pin diameter ratio: 2.85 Workpiece materials thickness: 6 [mm] After repairing phase, the repaired zone, weld zone and base materials are compared in terms of its microstructure and mechanical properties.
Ma, Friction stir welding and processing, Materials science and engineering: R: reports 50, 1-2 (2005) 1-78
In Trans Tech Publications, Materials Science Forum 765 (2013) 776-780
F. dos Santos, Process optimization and microstructure analysis in refill friction stir spot welding of 3-mm-thick Al-Mg-Si aluminum alloy, The International Journal of Advanced Manufacturing Technology 92, 9-12 (2017) 4213-4220

Your 3D Angle Searching System with PSO for Face Recognition Paper's Title Starts Here: Please Center use Helvetica (Arial) 14 FULL Ching-Tang Hsieh1,a, Chia-Shing Hu2,b and Meng-Shian ShihFirst Author1, a, FULL Second Author2,b and Last Author3,c 1FDepartment of Electrical Engineering, Tamkang University, New Taipei City, 25137, Taiwan, R.O.Cull address of first author, including country 2Department of Electrical Engineering, Tamkang University, New Taipei City, 25137, Taiwan, R.O.C 3Department of Electrical Engineering, Tamkang University, New Taipei City, 25137, Taiwan, R.O.C Full address of second author, including country 3List all distinct addresses in the same way ahsieh@ee.tku.edu.tw, b894350106@s94.tku.edu.tw, chsieh@ee.tku.edu.tw792350075@s92.tku.edu.twemail, bemail, cemail Keywords: PSO, FACE RECOGNITIONList the keywords covered in your paper.
The author should indicate on the checklist if he wishes to have them printed in full color and make the necessary payments in advance.
Forum Vol. 83-87 (1992), p. 119Jin Young Kim, Dae Young Ko, Seung You Na. : Implementation and enhancement of GMM face recognition systems using flatness measure, 13th IEEE, Robot and Human Interactive Communication, (2004), pp.247 – 251
Mishing, in: Diffusion Processes in Advanced Technological Materials, edtied by D.

Fesmire: Advances in Cryogenic Engineering Vol.45 (2000), p. 1691-1698 Dj.M.
Forum Vol. 83-87 (1992), p. 119 [3] Q.
Morgunov: Chemical and petroleum engineering Vol. 14 (3) (1978), p. 243-245 [6] Stephen M.
Zahn: Advances in cryogenic engineering Vol. 23 (1978), p. 569-579 [8] V.
Gouge: Advances in cryogenic engineering Vol. 53 (2008), p. 160-167

Part II: infilled structures, Journal of Earthquake Engineering, vol.1, n.3, pp. 475-503, (1997)
Journal for Multiscale Computational Engineering, Vol. 5, n. 2, pp. 105-116, (2007)
[14] De Angelis, F., On constitutive relations in non-smooth elasto/viscoplasticity, Advanced Materials Research, Vol. 566, pp. 691-698, (2012)
[17] De Angelis, F., Computational issues in rate dependent plasticity models, Advanced Materials Research, Vol. 566, pp. 70-77, (2012)
[19] De Angelis, F., Numerical algorithms for J2 viscoplastic models, Advanced Materials Research, Vol. 567, pp. 267-274, (2012)