Mitrovic / Milosevic / Mladenovic Experimental and Numerical Investigations in Materials Science and Engineering

Proceedings of the International Conference of Experimental and Numerical Investigations and New Technologies, CNNTech 2018
1. Auflage 2018
ISBN: 978-3-319-99620-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 54, 241 Seiten, eBook

Reihe: Lecture Notes in Networks and Systems

This book provides a collection of high-quality peer-reviewed research papers presented at the International Conference of Experimental and Numerical Investigations and New Technologies (CNNTech2018), held in Zlatibor, Serbia from 4 to 6 July 2018. The book discusses a wide variety of industrial, engineering and scientific applications of engineering techniques. Researchers from academia and the industry share their original work and exchange ideas, experiences, information, techniques, applications and innovations in the field of mechanical engineering, materials science, chemical and process engineering, experimental techniques, numerical methods and new technologies.

Zielgruppe

Research

Autoren/Hrsg.

Mitrovic, Nenad

Milosevic, Milos

Mladenovic, Goran

Inhaltsverzeichnis

1;Preface;6
2;Organization;8
2.1;Scientific Committee;8
3;Contents;10
4;Materials Science;13
5;Thermal and Mechanical Characteristics of Dual Cure Self-etching, Self-adhesive Resin Based Cement;14
5.1;Abstract;14
5.2;1 Introduction;15
5.3;2 Experimental Setup and Procedure;16
5.4;3 Results and Discussion;17
5.5;4 Conclusions;23
5.6;Acknowledgement;23
5.7;References;23
6;TGA-DSC-MS Analysis of Pyrolysis Process of Various Biomasses with Isoconversional (Model-Free) Kinetics;27
6.1;Abstract;27
6.2;1 Introduction;27
6.3;2 Materials and Methods;29
6.3.1;2.1 Materials and Sampling Procedure;29
6.3.2;2.2 Simultaneous Thermal Analysis (STA) Measurements;29
6.3.3;2.3 Mass Spectrometry (MS) Analysis;30
6.3.4;2.4 Theoretical Background;30
6.4;3 Results and Discussion;31
6.4.1;3.1 Results of Proximate and Ultimate Analysis and Bio-char Yields;31
6.4.2;3.2 TGA-DTG-DSC Curves of Pyrolysis Processes of Various Biomass Samples;33
6.4.3;3.3 Analysis of Gases Produced During Pyrolysis;36
6.4.4;3.4 Isoconversional Analysis;39
6.5;4 Conclusions;41
6.6;Acknowledgments;41
6.7;References;41
7;Thermal Energy Storage of Composite Materials Based on Clay, Stearic Acid, Paraffin and Glauber’s Salt as Phase Change Materials;45
7.1;Abstract;45
7.2;1 Introduction;46
7.3;2 Experimental;48
7.3.1;2.1 Materials;48
7.3.2;2.2 Heterogeneous Gel Based on Alkali Bentonite Clay Activation Making Procedure;48
7.3.3;2.3 Characterization of the Heterogeneous Gel;48
7.4;3 Results and Discussion;49
7.5;4 Conclusion;52
7.6;References;52
8;Experimental Investigation of Mechanical Properties on Friction Stir Welded Aluminum 2024 Alloy;55
8.1;Abstract;55
8.2;1 Introduction;55
8.3;2 Experimental Work;57
8.4;3 Results and Discussions;61
8.5;4 Conclusions;67
8.6;References;68
9;Possibility for Removing Products of Thermal Degradation of Edible Oil by Natural Aluminosilicates;70
9.1;Abstract;70
9.2;1 Introduction;70
9.3;2 Use of Aluminosilicate in Environmental Protection;72
9.4;3 Materials and Methods;75
9.4.1;3.1 Materials;75
9.4.2;3.2 Methods;75
9.5;4 Results and Discussion;76
9.6;5 Conclusion;80
9.7;References;80
10;Study of Water Vapor Resistance of Co/PES Fabrics Properties During Maintenance;83
10.1;Abstract;83
10.2;1 Introduction;83
10.3;2 Experimental Part;85
10.3.1;2.1 Materials;85
10.4;3 Methods;85
10.4.1;3.1 Hot Plate Method;86
10.4.2;3.2 Comfort Rating According to Ret Values;86
10.4.3;3.3 Establishing the Mathematical Model of Dependence of Ret Values on the Number of Washing Cycles;87
10.5;4 Results and Discussion;87
10.5.1;4.1 Functional Dependence of Ret Values on the Number of Washing Cycles;91
10.6;5 Conclusion;93
10.7;References;94
11;Experimental Dimensional Accuracy Analysis of Reformer Prototype Model Produced by FDM and SLA 3D Printing Technology;95
11.1;Abstract;95
11.2;1 Introduction;95
11.3;2 Materials and Methods;98
11.4;3 Results and Discussion;102
11.5;4 Conclusion;105
11.6;Acknowledgement;105
11.7;References;105
12;Application of Numerical Methods in Design and Analysis of Orthopedic Implant Integrity;107
12.1;Abstract;107
12.2;1 Introduction;107
12.3;2 Application of FEM in Analysis of Behavior of Biomaterials with Cracks;109
12.4;3 Application of X-FEM Method to Crack Growth Simulation;110
12.5;4 Numerical Calculation of Selected Hip Implant Models;111
12.5.1;4.1 Development of Numerical Models;112
12.5.2;4.2 Discretization of Structure in Numerical Models;113
12.6;5 Development of a Model with a Crack;114
12.7;6 Results of Numerical Analysis;115
12.8;7 Conclusions;119
12.9;References;120
13;Measurement of the Stress State in the Lower Link of the Three-Point Hitch Mechanism;123
13.1;Abstract;123
13.2;1 Introduction;123
13.3;2 Field Tests Preparation;125
13.4;3 Measurement Results;127
13.5;4 Conclusion;131
13.6;Acknowledgement;131
13.7;References;131
14;Engineering;133
15;Research of Lean Premixed Flame by Chemiluminescence Tomography;134
15.1;Abstract;134
15.2;1 Introduction;134
15.3;2 Flame Imaging Method;135
15.4;3 Experimental;138
15.5;4 Results and Discussion;140
15.6;5 Conclusions;144
15.7;References;144
16;freeCappuccino - An Open Source Software Library for Computational Continuum Mechanics;146
16.1;Abstract;146
16.2;1 Introduction;146
16.3;2 Handling Complex Geometry and Computational Meshes;147
16.4;3 Tensor Fields Manipulation;149
16.5;4 Finite Volume Discretisation;151
16.6;5 Linear Algebra;151
16.7;6 Parallelisation;153
16.8;7 Example Simulation Results;153
16.9;8 Conclusion;156
16.10;Acknowledgements;156
16.11;References;156
17;Multiparameter Structural Optimization of Pressure Vessel with Two Nozzles;157
17.1;Abstract;157
17.2;1 Introduction;157
17.3;2 Experimental Analysis;158
17.3.1;2.1 Basic Model;158
17.3.2;2.2 Experimental Findings;159
17.4;3 Finite Element Analysis;160
17.4.1;3.1 Optimization of the Pressure Vessel Geometry;162
17.5;4 Discussion;164
17.6;5 Conclusion;165
17.7;Acknowledgements;165
17.8;References;165
18;Mathematical Modelling and Performance Analysis of a Small-Scale Combined Heat and Power System Based on Biomass Waste Downdraft Gasification;168
18.1;Abstract;168
18.2;1 Introduction;168
18.3;2 Development of Mathematical Models;169
18.4;3 Downdraft Gasification CHP System Description;170
18.5;4 CHP System Modelling;170
18.5.1;4.1 Process Model Simulator;170
18.5.2;4.2 Model Settings;171
18.5.3;4.3 Model Description of the Different CHP Units;172
18.6;5 Results and Discussion;175
18.6.1;5.1 Configuration;176
18.6.2;5.2 Configuration;176
18.6.3;5.3 Configuration;177
18.7;6 Conclusions;180
18.8;References;181
19;Determination of the Wing Conveyor Idlers’ Axial Loads Using the Finite Element Method;183
19.1;Abstract;183
19.2;1 Introduction;184
19.2.1;1.1 Belt Conveyors and Their Components;184
19.2.2;1.2 Conveyor Idlers Testing Methodologies;185
19.3;2 Determination of the Conveyor Idlers Radial and Axial Loads;188
19.3.1;2.1 Load Distribution in the Transverse Direction;188
19.3.2;2.2 Determination of the Conveyor Belts Modulus of Elasticity in the Lateral Direction;192
19.3.3;2.3 Numerical Model of the Test According to the DIN 22102 Standard;194
19.3.4;2.4 The Quarterly Field Model of the Belt Between Garlands;195
19.3.5;2.5 Wing Conveyor Idlers Axial Load Intensity;196
19.4;3 Conveyor Idlers Testing Machine;198
19.5;4 Conclusion;199
19.6;Acknowledgement;200
19.7;References;200
20;Mathematical Modelling Approach of WntSignalling PATHWAY Analyse in Alzheimer Disease;202
20.1;Abstract;202
20.2;1 Introduction;203
20.3;2 Roles of Signalling Pathways and Crosstalk of Complex Network of Signalling Pathway;205
20.4;3 WntSignaling Pathway;206
20.5;4 Description of the Mechanism;206
20.6;5 Biochemical Reactions;207
20.7;6 Mathematical Model of Wnt Signalling Pathway;210
20.8;7 Simulation Results;211
20.9;8 Analysis of Mathematical Model;214
20.10;9 Conclusion;215
20.11;References;215
21;Identification and Recognition of Vehicle Environment Using Artificial Neural Networks;217
21.1;Abstract;217
21.2;1 Introduction;217
21.3;2 Object Detection Using Convolutional Neural Networks;218
21.3.1;2.1 Convolutional Layers;219
21.3.2;2.2 Pooling (Subsampling) Layers;220
21.3.3;2.3 Non-linear Layers;220
21.3.4;2.4 Fully Connected Layers;221
21.4;3 Classifying Objects Using the Faster Convolutional Neural Network (Faster R-CNN);222
21.5;4 Results and Discussion;223
21.5.1;4.1 Dataset Description;223
21.5.2;4.2 Test Results;223
21.6;5 Conclusion;226
21.7;References;226
22;Model Predictive Control of a Medical Robotic System;229
22.1;Abstract;229
22.2;1 Introduction;229
22.3;2 Mathematical Model of the System;230
22.4;3 Model Predictive Controller;232
22.5;4 Results;235
22.6;5 Conclusion;238
22.7;References;238
23;Author Index;240