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Molding equipment processing param-eter is set to: The height of 0.1 mm, Nozzle temperature 210 ℃, Density of 30%, Materials is polylactide, the filling speed of 30 mm/s.
Error between the actual gear tooth pr-ofile and the theory is derived from the nozzle of the filament width error and materials in the proc-ess of solidification shrinkage [18,19,20,21].Actual gradually open surface section belo-w.
Journal of mechanical science and technology, 2008, 27 (10) : 1207-1215
Journal of mechanical science and technology, 2002, 21 (5) : 788-790
Journal of mechanical science and technology, 1998, (4) : 58-63

Ruffini, Effect of the training set size on springback control by neural network in an air bending process, Journal of Materials Processing Technology, Vol. 80–81 (1998), p.493–500 [3] R.
Hambli, Optimization of Blanking Processes Using Neural Network Simulation, The Arabian Journal for Science and Engineering, Vol. 30 (2005), p.3-16 [6] K.
Ramakrishnan, Application of Neural Network in Sheet Metal Bending Process, Defence Science Journal, Vol. 55 (2005), p. 125-131 [7] K.
Qiu, Springback prediction for sheet metal forming based on GA-ANN technology, Journal of Materials Processing Technology, Vol.187–188 (2007), p.227–231 [9] M.
Golcu, Artificial neural network analysis of springback in V bending, journal of applied science, Vol. 8 (17) (2008), p.3038-3043 [10] F.

Samuel, Effect of casting imperfections on the fatigue life of 319-F and A356-T6 Al–Si casting alloys, Materials Science and Engineering: A. 473 (2008) 65-75
Stratford, Factors influencing the production of high integrity aluminium/silicon alloy components by die and squeeze casting processes, Journal of Materials Processing Technology. 38 (1993) 303-326
Reed, The mechanisms of long fatigue crack growth behaviour in Al–Si casting alloys at room and elevated temperature, Materials Science and Technology. 23 (2007) 1396-1401
Sokolowski, The effect of cooling rate on microstructure and mechanical properties of AC AlSi9Cu alloy, Archives of Materials Science and Engineering. 28 (2007) 105-112
Prado, Fatigue variability in Al–Si cast alloys, Materials Science and Engineering: A. 398 (2005) 171-179

Fracture Toughness of Liquid Phase Sintered SiC by using Indentation Fracture Method Hun Chae Jung 1,a, Han Ki Yoon 2,b, Bu Ahn Kim 3,c, Joon Soo Park4,d and Akira Kohyama 5,e 1 Department of Mechanical Engineering, Graduate School of Dong-Eui University, Busan, Korea 2 Division of Mechanical Engineering, Dong-Eui University, Busan, Korea 3 Department of Materials Science & Engineering, Pukyong National University, Busan, Korea 4 Institute of Energy Science and Technology Co.
Therefore, in the interests of safety, we are required to measure fracture toughness of materials.
Moon: Journal of KCORE Vol. 15 No. 2 (2001), pp. 61-65 [8] S.
Thevenot: Materials Chemistry and Physics Vol. 67 (2001), pp. 165-174 [9] V.A.
Bressiani: International Journal of Refractory Metals & Hard Materials Vol. 19 (2001), pp. 409-417 [10] G.R.

Journal of Materials Research and Technology, 2020, 9(2): 1162-1174
Journal of Xi’an Shiyou University (Natural Science Edition), 2018, 33(05): 101-106+126
Development and Application of Materials, 2019, 34(06): 96-102
Rare Metal Materials and Engineering, 2020, 49(03): 1090-1099
Journal of Materials Science & Technology, 2021, 71: 177-185

Silva, Process Stability Evaluation of Manual Metal Arc Welding Using Digital Signals, Materials Science Forum 730-732 (2013) 847-852
Dobrzanski, Structure and mechanical properties of gradient coatings deposited by PVD techniques onto the X40CrMoV5-1 steel substrate, Journal of Materials Science 43 (2008) 4300-4307
Borek, Hot-rolling of advanced high-manganese C-Mn-Si-Al steels, Materials Science Forum 706/709 (2012) 2053-2058
Borek, Microstructure evolution of C-Mn-Si-Al-Nb high-manganese steel during the thermomechanical processing, Materials Science Forum 638 (2010) 3224-3229
Bojar, Intermetallic alloys with ceramic particles and technological concept for high loaded materials, Journal of Materials Processing Technology 164-165 (2005) 850-855

Materials Science & Engineering R-Reports, 43, 61-102
Chemistry of Materials, 17, 130-135
Journal of Optoelectronics and Advanced Materials, 6, 817-824
Journal of Optoelectronics and Advanced Materials, 6, 297-305
Science and Engineering of Composite Materials, 11, 19-26

Final properties of ceramic products depend on raw materials, shaping technologies and optimization of the sintering process.
Among them, the most common approach is the reaction sintering using AlN and Al2O3 as raw materials.
Stark, Laufenburg, Germany, 99.95% purity) were used as starting materials.
Roy, Journal of materials science letters, 1999. 18(24): p. 1989-1990
Zhang, Journal of materials science letters, 2001. 20(1): p. 77-79

External conditions such as strain rate and temperature influence the mechanical properties of materials.
The influence of strain rate on the mechanical properties of materials within the elastic-plastic regime was studied by numerous authors.
The 3D printed specimens were tested uniaxially in tension using the X350-20 materials testing machine from Testometric.
Journal of Materials Engineering and Performance 32.22 (2023): 10412-10430
[9] Yoshihiro Tomita, Makoto Uchida, Characterization of micro- to macroscopic deformation behavior of amorphous polymer with heterogeneous distribution of microstructures, International Journal of Mechanical Sciences, Volume 45, Issue 10, pp. 1703-1716. (2003). https://doi.org/10.1016/j.ijmecsci.2003.09.023

Experiment Materials.
Ismail, and M.Tavman.: Thermal Conductivity of Particle Filled Polyethylene Composite Materials, Composites Science and Technology, (2003)63(1):113-117
Journal of Composite Material, (2008)42(2):173-186
[6] Agari,Y. and T.Uno..: Estimation on Thermal Conductivities of Filled Polymer, Journal of Applied Polymer Science, (1986)32(5):705-708
:Dynamic Mechanic Properties of Particulate-filled composites, Journal of Applied Polymer Science, (1970)14(1);449