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This article presents the method determining the motion trajectory of the bucket on the side dump bucket loader MVC E500-1 during the materials digging through the combinative method.
Survey with some process of filling the material for the working equipment: the process of filling materials into the bucket can be carried out in different ways, separately or simultaneous movement.
Models and methods for determining the proper trajectory of side dumping bucket are well suitable for the calculation and design of work equipment, machine use training and especially for automation research of the process of loading materials in particular conditions.
References [1] Ahmad Hemami, Modelling, analysis and preliminary studies for automatic scooping/loading in a mechanical loader, International Journal of Surface Mining and Reclamation 6 (1992): pp. 151-159
[3] Dat Chu Van, Duong Le Van, Huy Ta Van, Research on determination of general resistance in the process of filling materials into bucket of Side dump bucket loader, Journal of Military Science and Technology, 4, 2016, pp. 166-172 (in Vietnamese version)

Continuous cooling transformation behavior of subcooling austenite of SCM435 steels[J].Journal of Northeastem University(Natural Science).2013, 34(3):356-359
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Determination of the Dynamic Recrystallization Kinetics Model for SCM435 Steel [J], Journal of Wuhan University of Technology-Materials Science Edition, 2013, 28(4): 819-824
Journal of Iron and Steel Research .2008,20 (10): 40-43
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Stacking fault energy is a physical nature of metal materials, the value of stacking fault energy is closely related to motion mode of dislocation during the deformation of materials, and directly affects the mechanical properties of materials.
Yao: Journal of Manufacturing Science and Engineering,Vol. 124 (2002), pp.369-378
Kysar: Journal of Manufacturing Science and Engineering, Vol. 126 (2004), pp.226-236
Yao: Journal of Manufacturing Science and Engineering, Vol. 129 (2007), pp.485-496
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The parameters of the manufactured surface roughness and their deviation in case of different workpiece-materials, tool-materials and edge-materials were analysed with statistical methods.
Subject and Methods Workpiece and tool materials The increased silicon content means difficulties in the course of aluminium cutting.
The edge materials were PCD, CVD-D, and they were manufactured by TiroTool.
Lee, Surface roughness and cutting force prediction in MQL and wet turning process of AISI 1045 using design of experiments, Journal of Mechanical Science and Technology 24 (2010) 1669-1677
Čepová, A New Method for the Prediction of Laser Cut SurfaceTopography, Measurement Science Review 12 (2012) 195-204

Polymer composite materials / M.L.
Journal: Applied Composite Materials. 
Journal of Encapsulation and Adsorption Sciences.
Mechanics and Analysis of Composite Materials – Oxford: Elsevier Science Ltd, (2001)
Journal: Applied Composite Materials.

Kumar, A Review on Mechanical and Tribological Behaviors of Stir Cast Aluminum Matrix Composites, 3rd International Conference on Materials Processing and Characterization (ICMPC 2014), Procedia Materials Science. 2014; 6: 1951–1960
Olubambic, Corrosion and wear behaviour of Al–Mg–Si alloy matrix hybrid composites reinforced with rice husk ash and silicon carbide, Journal of materials research technology. 2014; 3(1): 9–16
Dean, The effects of the disposition of SiC particles on the forgeability and mechanical properties of co-sprayed aluminium-based MMCs, Journal of Materials Processing Technology. 1997; 69: 58-67
Sudhaker Nayak, Corrosion behaviour of silicon carbide particle reinforced 6061/Al alloy composites, Journal of Material Science. 1991; 26: 4991–4996
Ghosal, An experimental and micrographical investigation on aluminium nano metal matrix composites, Journal of Composite Materials. 2016; 50(26): 1-15

Gur: Length scale effects and multiscale modeling of thermally induced phase transformation kinetics in NiTi SMA, Modelling and Simulation in Materials Science and Engineering 25(4) (2017), 045002
Muralidharan: Atomistic simulation of shape memory effect (SME) and superelasticity (SE) in nano-porous NiTi shape memory alloy (SMA), Computational Materials Science 152 (2018), 28-37
Gargarella: Revisiting Cu-based shape memory alloys: Recent developments and new perspectives, Journal of Materials Research 37(1) (2022), 162-182
Xie: Enhanced mechanical properties of polycrystalline Cu-Al-Ni alloy through grain boundary orientation and composition control, Materials Science and Engineering: A 650(2016), 218-224
Halle: Review of types, properties, and importance of ferrous based shape memory alloys, Korean Journal of Materials Research 28(7) (2018), 381-390

Loureiro: Fracture toughness of welds - effect of brittle zones and strength mismatch, Journal of Materials Processing Technology 153-154 (2004), p. 537-543
Kim: Determination of microstructural criterion for cryogenic toughness variation in actual HAZs using microstructure-distribution maps, Materials Science and Engineering A351 (2003), p. 183-189
Teodosiu: Three-dimensional numerical simulation of the deep-drawing process using solid finite elements, Journal of Materials Processing Technology 97 (2000), p. 100106
Accepted to Materials Science Forum
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Journal of Refractory Metals and Hard Materials Vol. 50 (2015), p. 178

Journal of materials processing technology Vol.199(2008), p.214
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