1.

Record Nr.

UNINA9910972856903321

Titolo

Manufacturing technology research . Volume 2 / / J. Paulo Davim and Mark J. Jackson, editors

Pubbl/distr/stampa

New York, : Nova Science Publishers, Inc., 2012

ISBN

1-61470-042-7

Edizione

[1st ed.]

Descrizione fisica

1 online resource (318 p.)

Collana

Manufacturing technology research, , 2157-2658 ; ; v. 2

Altri autori (Persone)

DavimJ. Paulo

JacksonMark J

Disciplina

670

Soggetti

Manufacturing processes

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Intro -- MANUFACTURING TECHNOLOGY RESEARCH -- MANUFACTURING TECHNOLOGY RESEARCH -- Library of Congress Cataloging-in-Publication Data -- CONTENTS -- PREFACE -- FORCES MEASUREMENT IN TURNING OF FEMORAL HEADS FROM AISI 316L STAINLESS STEEL -- ABSTRACT -- NOTATION AND ABBREVIATION -- 1. INTRODUCTION -- 2. HIGH SPEED MACHINING -- 3. CUTTING FORCE MODELS -- 4. EXPERIMENTAL METHOD AND PROCEDURE -- 4.1. Workpiece and Cutting Tool Material -- 4.2. Measurements -- 5. RESULTS AND DISCUSSION -- Surface Quality -- CONCLUSION -- REFERENCES -- FINITE ELEMENT ANALYSIS OF MICROMACHINING -- ABSTRACT -- 1. INTRODUCTION -- 2. FINITE ELEMENT MODELING OF MACHINING AND MICROMACHINING -- 2.1. Background on Machining Modeling and Simulation -- 2.2. Micromachining Modeling and the Size Effect -- 2.3. FEM Model of Micromachining -- 3. RESULTS AND DISCUSSION -- CONCLUSION -- REFERENCES -- EFFECTS OF MINIMUM QUANTITY LUBRICATIONIN DRILLING 1018 STEEL -- ABSTRACT -- 1. INTRODUCTION -- 2. EXPERIMENTAL METHODS AND PROCEDURES -- 2.1. Objectives -- 2.2. Design of Experiment -- 2.3. Cutting Tool -- 2.4. Drilling Equipment -- 2.5. Data Collection Method -- 2.6. Measuring Surface Finish -- 3. ANALYSES -- 3.1. ANOVA Assumptions -- 3.2. Hypothesis -- 3.3. Analysis of Variance for Inside Diameter Data -- 3.4. Surface Finish Analysis of Variance -- 3.5. Results -- CONCLUSIONS -- REFERENCES -- STATISTICAL MODELING AND



PREDICTION OF WEAR IN FRICTION STIR WELDING OF A METAL MATRIX COMPOSITE (AL 359/SIC/20P) -- ABSTRACT -- LIST OF SYMBOLS AND ABBREVIATIONS -- 1. INTRODUCTION -- 2. EXPERIMENTAL DESIGN -- 3. EXPERIMENTAL PROCEDURE -- 4. ANALYSIS -- CROSS-VALIDATION STUDY -- CONCLUSIONS AND DISCUSSION -- ACKNOWLEDGMENTS -- REFERENCES -- MICROSTRUCTURE EVOLUTION IN TITANIUM ALLOYS ENFORCED BY JOULE HEATING AND SEVERE PLASTIC DEFORMATION CONCURRENTLY -- ABSTRACT -- 1. INTRODUCTION.

2. MATERIALS AND TEST METHODS -- 3. THERMODYNAMICS PROPERTIES EVOLUTION -- 4. MICROSTRUCTURE FORMING INSTANCES -- 5. PHASE ANALYZE -- 6. MECHANICAL PROPERTIES -- CONCLUSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- EFFECT OF PROCESS PARAMETERS ON MICROSTRUCTURE, COMPRESSION STRENGTH AND CTE OF 7075 AL ALLOY COMPOSITE -- ABSTRACT -- 1. INTRODUCTION -- 2. LITERATURE REVIEW -- 3. STIR CASTING PROCESS -- 3.1. Heat Treatment of Reinforcement Particles -- 3.2. Design of Stir Caster -- 3.3. Operation of Stir Caster -- 4. MATERIALS AND METHODS -- 4.1. Analytical Thermo- Elastic Models -- Kerner Model -- Schapery bounds -- Turner Model -- 4.2. Fabrication of 7075 Aluminium Alloy and 10 wt% SiCp Composite -- 4.3. Microstructure -- 4.3. Thermo Mechanical Analyses (TMA) -- 4.4. Compression Test -- 5. RESULTS -- Microstructure -- TMA -- Compression Test -- DISCUSSION -- Microstructure -- Al Alloy -- Al Alloy SiCp Composite -- TMA -- Compression Test -- CONCLUSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- OPTIMUM TOLERANCE SYNTHESIS WITH PROCESS AND MACHINE SELECTION FOR MINIMIZING MANUFACTURING COST AND MACHINING TIME BY USING GENETIC ALGORITHM -- ABSTRACT -- 1. INTRODUCTION -- 2. PROBLEM DEFINITION -- 3. RESEARCH METHODOLOGY -- 4. NUMERICAL EXAMPLE -- 4.1. Implementation of GA -- 5. RESULT AND DISCUSSION -- 6. MANAGERIAL IMPLICATION -- CONCLUSION -- REFERENCES -- SELECTION OF CUTTING VELOCITY IN WIRE-EDM PROCESS USING TAGUCHI-FUZZY APPROACH -- ABSTRACT -- 1. INTRODUCTION -- 2. METHODOLOGY -- 3. EXPERIMENTAL RESULTS -- 3.1. Influence of Operating Parameters on Cutting Velocity -- 3.2. Influence of Operating Parameters on Average Surface Roughness -- 4. FUZZY MODEL FOR WEDM PROCESS -- 4.1. Membership Functions for Various Input and Output Variables -- 4.2. Fuzzy Rules for Cutting Velocity -- 4.3. Fuzzy Cutting Velocity Evaluation Strategy -- 5. RESULTS AND DISCUSSION.

CONCLUSIONS -- REFERENCES -- DEVELOPMENT OF MATHEMATICAL MODELS FOR PREDICTION OF WELD BEAD GEOMETRY OF HARDFACED GATE VALVE BY PLASMA TRANSFERRED ARC SURFACING -- ABSTRACT -- 1. INTRODUCTION -- 2. EXPERIMENTAL WORK -- 3. DEVELOPMENT OF MATHEMATICAL MODELS -- 4. RESULTS AND DISCUSSION -- 4.1. Direct Effects of Process Parameters on Weld Bead Geometry -- 4.1.1. Effect of Process Parameters on Depth of Penetration -- 4.1.2. Effect of Process Parameters on Height of Reinforcement -- 4.1.3. Effect of Process Parameters on Bead Width -- 4.1.4. Effect of Process Parameters on Percent Dilution -- 4.2. Interaction Effects of Process Parameters on Weld Bead Geometry -- 4.2.1. Interaction Effect of Welding Current and Welding Speed on Penetration -- 4.2.2. Interaction Effect of Welding Current and Welding Speed on Reinforcement -- 4.2.3. Interaction Effect of Welding Current and Welding Speed on Bead Width -- 4.2.4. Interaction Effect of Welding Current and Welding Speed on Percent Dilution -- CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES -- RECENT RESEARCH TRENDS IN THE FIELD OF SUBMERGED ARC WELDING - AN OVERVIEW -- ABSTRACT -- 1. INTRODUCTION -- 2. RECENT RESEARCH TRENDS IN SUBMERGED ARC



WELDING -- 3. RESEARCH RELATED TO WELD METAL CHEMISTRY AND ELEMENT TRANSFER BEHAVIOR -- 4. RESEARCH RELATED TO HEAT AFFECTED ZONE, MECHANICAL PROPERTIES AND WELD BEAD GEOMETRY -- 5. RESEARCH RELATED TO OPTIMIZATION TECHNIQUES OF SUBMERGED ARC WELDING -- 5.1. Response Surface Methodology (RSM) and Artificial Neural Network for Process Modeling and Simulation -- 5.2. Other Optimization Techniques -- 6. UTILIZING OF SAW SLAG AND WASTE FLUX DUST -- CONCLUSION -- REFERENCES -- ON-LINE PRODUCT DIMENSION VERIFICATION ON CNC MACHINE TOOL -- ABSTRACT -- 1. INTRODUCTION -- 2. PRODUCT DESCRIPTION -- 3. MANUFATURING OPERATIONS -- 4. VERIFYING PROCESS -- 4.1. Pin Bore Inspection.

4.2. Measurements on CMM -- 5. SOME OTHER PROCESS FINDINGS -- 5.1. Drilling Problems -- 5.2. CNC-Machine Tool Inaccuracy -- 5.3. Cooling Lubrication Fluid Temperature Problems -- 6. FINAL SOLUTION -- 6.1. Touch Probe Head Specifications -- 6.2. Company Benefits Using the Touch Probe Head -- CONCLUSION -- RESPONSIBILITY NOTICE -- REFERENCES -- EXPERIMENTAL INVESTIGATION OF THE PART COORDINATE SYSTEM EFFECTS ON THE DIMENSIONAL EVALUATION OF GEOMETRIC FEATURES -- ABSTRACT -- INTRODUCTION -- BACKGROUND -- PRELIMINARY WORK -- FOLLOW UP EXPERIMENTATION -- RESULTS AND DISCUSSIONS -- DISCLAIMER -- ACKNOWLEDGMENTS -- REFERENCES -- A GENETIC ALGORITHM FOR THE MACHINING CONDITION OPTIMIZATION IN THE PROCESS PLANNING OF CYLINDRICAL PARTS -- ABSTRACT -- 1. INTRODUCTION -- 2. BACKGROUND -- 3. THE WEBMACHINING SYSTEM -- 3.1. WebCADbyFeatures -- 3.2. WebCAPP -- 3.3. WebTurning -- 4. METHOD -- 4.1. WebCAPP and the Search for Cutting Tools in the Database -- 4.2. WebCAPP and the Optimization of Cutting Conditions through a Genetic Algorithm -- 5. RESULTS AND DISCUSSION -- CONCLUSION -- REFERENCES -- METHODOLOGY FOR SPUR GEARS MANUFACTURING WITH TEETH PROFILE MODIFICATION THROUGH 3D MODELING -- ABSTRACT -- 1. INTRODUCTION -- 1.1. Teeth Profile Modification Technique -- 1.2. Educational Computer Program -- 2. METHODOLOGY -- 2.1. Modeling of Spur Gears -- 2.2. Numerical Command Codes -- 2.3. Validation of Methodology -- CONCLUSION -- REFERENCES -- ANALYSIS OF DRILLING COMPACTED GRAPHITE IRON WITH CARBIDE-COATED HELICAL DRILLS USING DIFFERENT CUTTING FLUIDS -- ABSTRACT -- 1. INTRODUCTION -- 2. EXPERIMENTAL PROCEDURE -- 3. RESULTS AND DISCUSSIONS -- 3.1. Tool Wear -- 3.2. Tool Life Tests -- 3.3. Diameter -- 3.4. Circularity -- 3.5. Straightness -- 3.6. Cylindricity -- 3.7. Surface Roughness -- CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES.

INFLUENCE OF CUTTING PARAMETERS ON DEEP HOLE DRILLING OF AISI 4144 STEEL -- ABSTRACT -- 1. INTRODUCTION -- 2. METHODOLOGY -- 2.1. Machinability Assessment: Chip Shape Criterion -- 2.2. Identification of Tool Fracture -- 2.2.1. Test Methodology -- 2.2.2. Evaluation Methodology -- 2.3. Machinability Improvement Test -- 2.3.1. Test Methodology -- 2.3.2. Evaluation Methodology -- 3. RESULTS AND DISCUSSION -- 3.1. Influence of the Cutting Parameters and Drill Condition on Tool Fracture -- 3.1.1. Analysis of the Risk of the Chip -- 3.1.2. Analysis of the Amount of Chips -- 3.1.3. Analysis of the Risk of Tool Fracture -- 3.2. Validation of the Influence of Cutting Speed and Feed Speed on Machinability -- 3.2.1. Machinability Results -- CONCLUSION -- REFERENCES -- INFLUENCE OF CURRENT ON WELD BEAD GEOMETRY OF PLASMA-MIG WELDING PROCESS -- ABSTRACT -- 1. INTRODUCTION -- 2. EXPERIMENTAL PROCEDURE -- 3. RESULTS AND DISCUSSION -- CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES



-- GTAW ARC MONITORING USING SPECTROSCOPY AND CHANGE DETECTION ALGORITHMS -- ABSTRACT -- INTRODUCTION -- Spectroscopy -- Change Detection -- EXPERIMENTAL PROCEDURE -- RESULTS -- CONCLUSION -- REFERENCES -- HIGH SPEED MECHANICAL TESTING USING AN INNOVATIVE ELECTROMAGNETIC COMPRESSIVE SPLIT HOPKINSON BAR -- ABSTRACT -- 1. INTRODUCTION -- 2. ELECTROMAGNETIC COMPRESSIVE SPLIT HOPKINSON BAR -- 2.1. Basic Structural Parts -- 2.2. Specific Mechanical and Pneumatic Parts -- 2.3. Electrical and Electromagnetic Parts -- 3. RESULTS AND DISCUSSION -- CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES -- INFLUENCE OF TEMPERING TEMPERATURE IN WEAR OF AISI T15 HIGH SPEED STEEL TOOLS PRODUCED BY TWO DIFFERENT SINTERING PROCESSES -- ABSTRACT -- INTRODUCTION -- MATERIALS AND METHODS -- RESULTS AND DISCUSSION -- CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES -- INDEX.

Sommario/riassunto

Today, manufacturing technology is an interdisciplinary field involving the analysis of product design to assure manufacturability, the selection, specification and optimization of the required equipment, as well as tooling, processes and operations. Manufacturing technology is well established in a great number of industries such as aircraft, automotive, aerospace, machine tools, molds and dies, product manufacturing, computers, electronics, semiconductor and communications. This book focuses on all manufacturing technology materials, such as metals, plastics, ceramics, composites and nanomaterials, as well as various manufacturing processes.



2.

Record Nr.

UNINA9911047714703321

Autore

Lu Weidang

Titolo

Secure Communications in Unmanned Aerial Vehicle-Enabled Mobile Edge Computing Systems / / by Weidang Lu, Yu Ding, Huimei Han, Guanjun Xu

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026

ISBN

981-9696-11-9

Edizione

[1st ed. 2026.]

Descrizione fisica

1 online resource (139 pages)

Collana

SpringerBriefs in Computer Science, , 2191-5776

Altri autori (Persone)

DingYu

HanHuimei

XuGuanjun

Disciplina

004.0151

Soggetti

Computer science

Data protection

Electronic digital computers - Evaluation

Models of Computation

Security Services

System Performance and Evaluation

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

"Chapter 1. Overview of Unmanned Aerial Vehicle – Mobile Edge Computing Systems" -- "Chapter 2 PLS-based Secure communications for UAV-enabled MEC Systems" -- "Chapter 3 RIS-Based Secure Communications for UAV-Enabled MEC Systems" -- "Chapter 4 DRL-Based Secure Communications for UAV-Enabled MEC Systems" -- "Chapter 5 Online-Based Secure Communications for UAV-Enabled MEC Systems" -- "Chapter 6 Conclusions and Future Research".

Sommario/riassunto

With the rapid evolution of wireless communication technologies, emerging applications like autonomous driving, telemedicine, and virtual reality are becoming integral to modern life. These advancements have significantly increased computing demands and coverage requirements, posing challenges for traditional systems and resource-constrained devices. Unmanned aerial vehicle-assisted mobile edge computing (UAV-assisted MEC) offers an innovative solution, enabling rapid deployment of communication infrastructure and



providing efficient computing services for devices. However, the openness and broadcast nature of UAV communications make them highly susceptible to security threats. The book "Secure Communications in Unmanned Aerial Vehicle-Enabled Mobile Edge Computing Systems" explores advanced strategies to secure data transmission in UAV-enabled MEC systems. Furthermore, this book provides a detailed exploration of how physical-layer security techniques can be effectively employed to enhance secure communications within these complex systems. Aimed at researchers, engineers, and professionals in the fields of secure communications, MEC, and UAV technology, the book addresses the growing demand for resilient security frameworks that can handle the dynamic and real-time nature of UAV operations. It offers vital insights for anyone involved in the development of next-generation wireless networks, making it an indispensable reference for those tackling security challenges in UAV-enabled MEC systems. The content covers advanced theoretical insights and technical analysis, offering a comprehensive range of methods to strengthen security in UAV-enabled MEC systems. Key topics include secure offloading strategies, communication modes, edge learning, deep reinforcement learning, reconfigurable intelligent surface, and multiple UAVs collaboration. Additionally, the book delves into physical-layer security techniques such as artificial noise generation and cooperative jamming. These methods aim to safeguard sensitive information from eavesdroppers and secure communication channels at the physical layer. Alongside these security-focused techniques, the book also covers essential optimization strategies, including trajectory optimization, resource allocation under adversarial conditions, which collectively enhance secure performance in UAV-enabled MEC systems.