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The Establishment of Distribution Model of Inner Surface Pressure of Elbow Pipe Based on FLUENT Xiaoyang Lu a, Wei Zheng b, Lili Huang c, Yong Zhou, Hongliang Zhu Institute of Engineering Mechanics, School of Material Science and Engineering, Shandong Jianzhu University, Jinan 250101, China aluxy5504@163.com, bzhengweino1@163.com, chuang0539@gmail.com, Key words: elbow pipe, impact parameters, numerical simulation, distribution model of pressure Abstract: The processes of the fuild through the elbow pipe under different conditions are simulated by the FEM software named FLUENT.
Acknowledgements This research was supported by National Natural Science Foundation of China (11272188) and Shandong Provincial Natural Science Foundation, China (ZR2010AM016).
Advanced Materials Research.
Advanced Materials Research.
Chinese Journal of Computational Mechanics.

Hossein. sajjadi2 and Reza Gholamnia1 1 Faculty of Health, Safety and Environment, Shahid Beheshti University of Medical Science, Tehran, Iran 22 Laboratoire de chimie et Méthodologie pour l’Environnement, EA 4164,1 Bd Arago 570570 METZ, France aJabbarim@sbmu.ac.ir Keywords: Consequence analysis, 1, 3- butadiene, Chemical exposure index.
The airborne quantity refers to the total quantity of material entering the atmosphere over time, directly as vapor or due to liquid flashing or pool evaporation.
Material and Methods In this study, airborne quantity of 1, 3-butadiene was determined by the chemical exposure index (CEI) in a petrochemical zone.
[5] Jabbari, M., Kavousi, A., Consequence Analysis of Flammable Chemical Releases from a pipeline, 2011 Fourth International Joint Conference on Computational Sciences and Optimization, CSO 2011.
Khavanin, A., Comprehensive risk assessment and management of petrochemical feed and product transportation pipelines, Journal of Loss Prevention in the Process Industries, 2009.22, 533-539.

Introduction Electrical Discharge machining (EDM) is a non-conventional machining process to machine electric conductive materials independently of their mechanical properties.
Solid carbide WC-6Co was chosen as the workpiece material and copper was chosen as the electrode material.
Czelusniak et al., Materials used for sinking EDM electrodes: a review, J Braz.
Chakradhar, Failure detection and control for wire EDM process using multiple sensors, CIRP Journal of Manufacturing Science and Technology, vol. 33, pp. 315–326, (2021), doi: 10.1016/j.cirpj.2021.04.009
Yap, Supervised and Unsupervised Learning for Data Science.

Five examples are given in the article, which cover main specifications of incoming material, as shown in Tab 1.
Bentall: Journal of the Mechanics and Physics of Solids, Vol. 17 (1969), p.253
Johnson: International Journal of Mechanical Sciences, Vol. 29 (1987) No.7, p.507
Sutcliffe: International Journal of Mechanical Sciences, Vol. 43 (2001), p.1405
Liu: Journal of Plasticity Engineering, Vol. 15 (2008) No.1, p.172.

Test Materials and Methods.
Dong-min: Journal of Anhui Agricultural Sciences, Vol. 18(2008)Nop.53
Chuan-lai: Journal of Anhui Agricultural Sciences, Vol. 21(2006)Nop.31
Fang: Journal of Anhui Agricultural Sciences, Vol. 35(2007)No.13, p.3844
Kaneko, et al: Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering, Vol. 78(2012)No.2, p.160-167.

Image processing methods are used in biology and medical science for the evaluation of images, in engineering for processing electron microscope and spectrometer images, and in aeronautics and space science for the evaluation of satellite photos and weather forecasting.
One of these application areas involves earth science and the mining industry.
Roselli: “Analysis of Landsat 5 TM Images for Monitoring the State of Restoration of Abandoned Quarries”, International Journal of Surface Mining, Reclamation and Environment, 18 (2) (2004) pp. 122-134
Journal for Blasting and Fragmentation, 7 (2) (2003) pp. 105-132
Gundogdu: “Color identification of some Turkish marbles”, Construction and Building Materials, 22 (7) (2008) pp. 1342-1349

This prevents an optimal exploitation of the outstanding properties of high-performance materials [1].
In: Advanced Engineering Materials 18 (2016), Nr. 3, S. 391–396 [6] Sankaran, Vignaesh ; Ruder, Tristan ; Rittner, Steffen ; Hufnagl, Evelin ; Cherif, Chokri: A multiaxial warp knitting based yarn path manipulation technology for the production of bionic-inspired multifunctional textile reinforcements in lightweight composites.
In: IOP Conference Series: Materials Science and Engineering 254 (2017), S. 42007 [8] Trümper, W. ; Lin, H. ; Callin, T. ; Bollengier, Q. ; Cherif, C. ; Krzywinski, S.: Recent developments in multi-layer flat knitting technology for waste free production of complex shaped 3D-reinforcing structures for composites.
In: IOP Conference Series: Materials Science and Engineering 141 (2016), S. 12015 [9] Sankaran, Vignaesh ; Rittner, Steffen ; Hahn, Lars ; Cherif, Chokri: Development of multiaxial warp knitting technology for production of three-dimensional near net shape shell preforms.
In: Textile Research Journal 81 (2011), Nr. 9, S. 932–944 [13] Schmoldt, A. ; Benthe, H.

A Novel Approach to Get Bisphenol-A Bis(Diphenyl Phosphate) Ban Daming1,a, Min Yang1,b, Zhang Yonghang1,c, Zhao Ou1,d 1 School of Chemistry and Material Science, Guizhou Normal University, Guiyang Guizhou 550001, P.R.
In this work, we succeeded to prepare an oligomer phosphate with the same crude material as liquid BDP flame retardant.
Scheme 1, Synthesis Procedure of S-BDP Materials and Measurement All chemicals were obtained from commercial sources and used without further purification.
Acknowledgement The work was financially supported by the Program for International Cooperation of Guizhou Science and Technology Department (Grant Nos.G[2012]7018) and Special Foundation for High Talent of Guizhou Province (Grant Nos. [2005]13).
Levchik, Journal of Fire Sciences, 24(5)( 2006):p. 345-364

Computer science, 2010,37(6):1-5
Journal of Beijing university of posts and telecommunications,2010,33(3): 1-9
Computer science, 1999,26(5): 78-83
International Journal of Information Systems and Change Management. 2010,4(4): 299-313
Journal of Manufacturing Technology Management. 2010,21(6): 758-780

The fatigue failure function f(σij) of different materials is different, and the influence of different stress states should be fully included, considering that most engineering structural materials are isotropic elastoplastic metal materials, under multiaxial load, f(σij) can use the equivalent force formula
For isotropic metal materials, the elastic stress distribution is only related to the notch geometry, and for anisotropic metal materials, Φ(r) is also related to the elastic properties of the material.
Beijing, Science Press, 2019
Journal of Applied Mechanics. 1961,28:544-550
[5] Yao W, Description of the stress field strength method for the fatigue behavior of metallic materials, Journal of Solid Mechanics, 1997(1):38-48