book

Intelligent Production Machines and Systems - First I*PROMS Virtual Conference

Name: Intelligent Production Machines and Systems - First I*PROMS Virtual Conference
Author: Duc T. Pham
ISBN: 9780080451572

by Duc T. Pham

December 2005

Intermediate to advanced

592 pages

30h 56m

English

Elsevier Science

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IPROMS 2005 Sponsors
Preface
Introduction by Mr A Gentili, European Commission
Programme and Organising Committees
Special Session OrganisersSession Chairmen and Co-ChairmenRefereesFacilitatorsI*PROMS Central Coordination and MEC Teams
The EU FP6 I*PROMS Network of Excellence for Innovative Production Machines and Systems
Abstract1. Rationale for Networks of Excellence2. The I*PROMS Network of Excellence3. The Clusters in I*PROMS3.1. Advanced Production Machines (APM) Cluster3.2. Production Automation and Control (PAC) Cluster3.3. Innovative Design Technology (IDT) Cluster3.4. Production Organisation and Management (POM) Cluster4. I*PROMS Activities5. Network Management6. Impact of I*PROMSAcknowledgementReferences
A robustness index for scheduling based on sensitivity analysis
Abstract1. Introduction2. Basics of Sensitivity Analysis3. Job shop scheduling4. Sensitivity analysis for schedules of job-shop environment5. Measuring Robustness of Schedules5.1. Background5.2. The robustness index6. ConclusionReferences
Computer aided procedure for selecting technological parameters in the drawing process
Abstract1. Introduction2. Analytical methods3. Analysis by FEM4. Results and discussion4. ConclusionsReferences
Intelligent software agents as a basis for collaborative manufacturing systems
Abstract1. Introduction2. Intelligent software agents3. Agents in the manufacturing application domain4. Agent-based process planning and scheduling5. Agent-based inter-organisational coordination5.1. The Agent.Enterprise approach5.2. The MaBE approach5.2.1. Description of the MaBE middleware5.2.2. MaBE demonstrator functionalities5.2.4. Latest developments in ontology mapping6. ConclusionsAcknowledgementReferences
Modelling and simulation on an RFID based manufacturing system
Abstract1. Introduction2. RFID conception3. Constraints in conventional manufacturing systems4. A framework for RFID based manufacturing system4.1. Machining stage4.2. Assembly stage4.3. Packaging stage5. A case study on the machining process and assembling process5.1. Model construction5.2. Evaluation based on simulation6. ConclusionsAcknowledgementsReferences

Production variable management: a software tool based on the connectance concept
Abstract1. Introduction2. Tool For Action Plan Selection (TAPS)2.1. Database Module2.2. Analysis Module2.3. Graphic User Interface (GUI)2.4. Evaluation Module3.0. Applications4.0. ConclusionAcknowledgementReferences
Toward the Next Generation of Manufacturing Systems. FRABIHO: A Synthesis Model for Distributed Manufacturing
Abstract1. Introduction2. Distributed Manufacturing Systems models2. 1. Fractal Manufacturing Systems2.2. Bionic Manufacturing Systems2.3. Holonic Manufacturing Systems3. DMS protomodel: FRABIHO4. Modelling FRABIHO4. ConclusionsAcknowledgementsReferences
An Enterprise Collaborative Portal with a Case-Based Reasoning Tool for Business Process Model Creation
Abstract1. Introduction2. Enterprise Collaborative Portals, Business Process Modelling and Case Based Reasoning3. Proposed approach3.1. Collaborative authoring of process models3.2. The proposed approach4. System architecture4.1. Graphical process modelling tool4.2. Collaboration tool4.3. Case-based reasoning tool4.4. Portal services5. Case study6. ConclusionsAcknowledgementsReferences
Automatic formation of rules for feature recognition in solid models
Abstract1. Introduction2. Automatic formation of feature recognition rules2.1. Inductive learning2.2. Training data creation2.2.1. Proposed approach2.2.2. Data format2.2.3. Characteristic vector design3. Illustrative example3.1. Training data creation3.1.1. Feature taxonomy3.1.2. Feature coding schemes3.1.3. Extraction of characteristic vectors3.2. Rule formation4. Testing5. ConclusionsAcknowledgementsReferences
Backlash Error and Effects on the Accuracy of Vertical Machining Center
Abstract1. Introduction2. Experimental procedures2.1. The VM101 linear encored measurement System2.2. Measurement process3. Experimental results3.1. Axis linear displacement error3.2. Backlash error4. The models of backlash error4.1. The ANN models of backlash error4.2. The polynomial models of backlash error5. Accuracy after backlash error compensated6. ConclusionsAcknowledgementsReferences
BM_Virtual Enterprise Architecture Reference Model for Concurrent Engineering processes performance improvement: An experiment
Abstract1. Introduction2. Concurrent Engineering Concept3. BM_VEARM4. The Experiment4.1. Team work Description4.1.1. Distributed CE Team4.1.2. Agile CE Team According to BM_VEARM4.1.3. Virtual CE Team According to BM_VEARM4.2. Evaluation Criteria5. Results6. ConclusionReferences
Holistic Approach for Condition Monitoring and Prediction of Machine Axis
Abstract1. Introduction2. Research Activities2.1. IMS- Watchdog Agent™2.2. Live Cycle Unit2.3. Intelligent Spindle Unit3. Test Routines3.1. Friction – Indicator for Degradation3.2. NC-Test Cycles – Uncovering of the Indicators3.2.1. The Stiction Test3.2.2. The Viscosity Test3.3. Using Statistical Data4. OutlookAcknowledgementReferences
Overcoming the challenges of product development and engineering changes in a distributed engineering environment
Abstract1. Introduction2. Product data driven engineering workflow3. Distributed workspace3.1. How to share information in a distributed environment3.2. Demands on a distributed workspace3.3. Architecture of the distributed workspace3.4. Organisation of collaboration3.5. Security mechanisms deployed4. ConclusionsAcknowledgements
A problem solving approach to developing product support systems
Abstract1. Introduction2. Background2.1. Problem solving and reasoning techniques in AI2.2. Reasoning techniques in product support3. Problem solving approach to product support3.1. Information object cluster3.2. Problem characterisation3.3. Knowledge reuse for previously solved problems3.4. Knowledge adaptation for similar problems3.5. Knowledge creation for new problems4. Implementation5. Conclusions and future workAcknowledgementsReferences
An Object-Oriented Framework for Intelligent Product Manuals
Abstract1. Introduction2. Problems on Documentation Systems Development2.1. Web Enabled Documentation2.2. Information Integration2.3. Ensuring High Quality Information Systems3. An Object-Oriented Framework for the Generation of Technical Documentation4. Enabling Object Technologies4.1. Servlet Technologies4.2. Java Database Connectivity4.3. XML Technology4.4. Text Pattern Matching5. System Architecture6. Case Study7. Discussion & ConclusionsAcknowledgementsReferences
Design and development of a decision support system for manufacturing systems
Abstract1. Introduction2. The decision support system architecture3. Design and Development of the DSS3.1. Process Modelling Tool3.2. Simulation Modelling Tool3.3. Virtual Modelling Tool3.4. Simulate and output analyzing tools4. Conclusions5. AcknowledgementReferences
E-supply application - Finnish case study
Abstract1. Introduction2. Study approach3. ICT in supply chain integration3.1. Supply chain integration3.2. Information integration with ICT3.3. e-supply design4. Case study4.1. Case network4.2. The evolution of e-supply chains4.2.1. State of art – level I/II4.2.2. The first step to the level III4.2.3. The second step to the level IV4.3. SteelNet system5. ConclusionReferences
Knowledge-based manufacturing within the extended enterprise
Abstract1. Introduction2. Knowledge representation3. Representation of information for reconfigurable machine tools4. Agent support for the extended enterprise5. Customer supplier collaboration6. Knowledge management within the extended enterprise7. ConclusionAcknowledgementReferences
Potentials of Voice Interaction in Industrial Environments
Abstract1. Introduction2. Criteria for the implementation of voice user interfaces2.1. Communication with computers is still restricted—yet effective2.2. Even large amounts of information can be easily input via voice, whereas output is limited2.3. Suitable information for VUIs is one that can easily be put in words2.4. Dealing with linguistic diversity and overcoming physical handicaps2.5. Hands and eyes free, mobility provided2.6. Straight usability – even in adverse conditions2.7. Motivational aspects matter2.8. Economical factors3. ConclusionReferences
Real Time Integrated Transportation System
Abstract1. Introduction2. Proposed System3. RTITS Components3.1. Mobile Units3.2. Central Server4. Working of Real Time Integrated Transportation System4.1. Operations4.2. Use Case Model for RTITS5. ConclusionAcknowledgementReferences
Study On Manufacture Resource Evaluating System Of the ASP-based Platform
Abstract1. Introduction2. The Synthesis Evaluation System of Manufacturing Resources2.1. The Forming Process of Virtual Enterprise2.2. Two-stage Decision Model of Manufacture Resources3. Synthesis Evaluation algorithm of Manufacture Resources3.1. Weighing Measurement of Various Index3.2. Comprehensive Sequencing of Manufacture Resources4. ConclusionReferences
User Interfaces for Service Oriented Architectures
Abstract1. Motivation2. Approach2.1. Process2.2. Interface3. User interfaces for services3.1. Interfaces for process overview and control3.2. Interfaces for interactive services3.2.1. Simple Service User Interfaces3.2.2. Complex Service User Interfaces3.2.3. Multi-Service User Interfaces3.2.4. Service Application User Interfaces4. Interfaces for an SOA-based Portal5. Future work6. AcknowledgementsReferences
A Roaming Vehicle for Entity Relocation
Abstract1.0. Introduction2.0. Platform design3.0. Control circuit architecture4.0. Control algorithm5.0. Experimentation Results5.1. Load versus time of travel5.2. Load versus current5.3. Station stopping response distances6.0. ConclusionAcknowledgementsReferences
A system for automatic end-quality assessment of vacuum cleaner motors
Abstract1. Introduction2. System architecture3. Diagnostic modules4. Diagnostic system performance5. Diagnostic system evaluation6. ConclusionAcknowledgementsReferences
Agent technology used for monitoring of automotive production
Abstract1. Current situation1.1. Software support in automotive plants1.2. State of the art for software agents in manufacturing environments2. Research and application development steps2.1. Closed control loops and connection of monitoring and order management2.2. Virtual Startup3. Agent based production monitoring4. ConclusionReferences
An Intelligent System for Manufacturing Fibre Optic Components
Abstract1. Introduction2. Problem definition3. Laser-to-fibre coupling algorithm4. Evolutionary algorithm5. Experimental settings and results5.1. Experimental set up5.2. EA settings5.3. Results6. ConclusionsAcknowledgementsReferences
Automatic detection of Mediterranean water eddies from satellite imagery of the Atlantic Ocean
Abstract1. Introduction2. Automatic identification of oceanic eddies3. Problem domain4. Proposed algorithm4.1. SST image pre-processing4.2. Numerical feature extraction4.3. ANN meddy identification5. Experimental settings and identification results5.1. Experimental set up and algorithm implementation5.2. Experimental results6. Discussion7. Conclusions and further workAcknowledgementsReferences
Complementary agents for intelligent cluster sensors technology
Abstract1. A Challenging technology2. Systems characteristics3. Sensor Structure4. Intelligent agents5. Single-agent and Multi or hybrid agent systems6. Example of agent’s functionalities7. Intelligent sensor functionalities7.1. Compensation functionality7.2. Computing functionality7.3. Communication functionality7.4. Validation functionality7.5. Integration functionality7.6. Data fusion functionality8. Practical expectations for intelligent sensors8.1. Sensor Master/clusters set-up for single/hybrid processes8.2. In process Parameter evaluation8.3. Extreme environment sensors for manufacturing processes and cutting interfaces8.4. Plug and Play sensors with standardization of interfaces9. ConclusionAcknowledgmentReferences
Fuzzy Logic Modelling of a Powder Coating System
Abstract1. Introduction2. Fuzzy modelling and the design methodology for the fuzzy-logic based powder coating system3. Experimental design and material setup4. Assessing powder deposition using response surface method5. The fuzzy-logic based powder coating system5.1. Performance evaluation of the fuzzy-logic based powder coaling system6. ConclusionAcknowledgementReferences
Image segmentation using fuzzy min-max neural networks for wood defect detection
Abstract1. Introduction2. Image segmentation method2.1. Seed selection process2.2. Input patterns2.3. Fuzzy min-max neural network for image segmentation2.3.1. FMMIS learning algorithm2.4. Output of the FMMIS3. Methods4. Experimental results5. ConclusionsAcknowledgementsReferences
Integrating human personnel, robots, and machines in manufacturing plants using ubiquitous augmented reality and smart agents
Abstract1. Introduction2. Related work3. Semantic network for manufacturing plants3.1. The Smart-Connected-Control Platform3.2. Integrating human personnel4. High-level architecture5. Application areas5.1. Advanced just-in-time maintenance5.2. Customized production5.3. Error reporting, diagnosis and self-healing6. ConclusionsAcknowledgementsReferences
Neural Networks in Automated Visual Inspection of Manufacturing Parts
Abstract1. Introduction2. Higher-order neural networks3. Coarse coding representation4. System structure5. Genetic algorithms in HONN topology optinnisation6. Results7. ConclusionsReferences
Petri net controller synthesis using theory of regions
Abstract1. Introduction2. PN controller design problem w.r.t. a desired behavior2.1. The desired controlled behavior2.2. The PN controller design problem3. Control places design3.1. Some basic relations3.1. Pure control places3.3. Impure control places4. An actual deadlock problem in a railway network5. ConclusionAcknowledgementReferences
Quality Control of High Pressure Die Casting using a Neural Network
Abstract1. Introduction2. High Pressure Die Casting3. Modelling the High Pressure Die Casting Process4. Modelling Results and Discussion5. Proposed Control Mechanism6. Conclusion7. Future Work7. AcknowledgmentReferences
Robot kinematic calibration using Genetic Algorithms
Abstract1. Introduction2. Robot calibration problem2.1. Principle2.2. The Denavit-Hartenberg model3. Genetic Algorithms4. Robot error model5. Calibration algorithm6. Implementation6.1. Four different Types of configurations6.2. Finding the best parameters7. A Case Study8. ConclusionsAcknowledgementReferences
A performance evaluation approach of an inventory system with batch orders
Abstract1. Introduction2. The inventory system3. Performance evaluation3.1. The manufacturing plant model3.2. The transport system model3.3. Order to delivery lead-time and inventory on order3.4. Total inventory cost estimation4. Numerical results5. Conclusion6. Acknowledgement:References
Applications of machine learning in manufacturing
Abstract1. Introduction2. Machine learning approaches to classification learning2.1. Inductive learning2.2. Instance-based learning2.3. Neural networks2.4. Genetic algorithms3. Applications of machine learning techniques in manufacturing4. ConclusionsAcknowledgementsReferences
Applications of RULES-3 Induction System
Abstract1. Introduction2. RULES-3 Inductive Learning Algorithm3. Applications of RULES-3 Algorithm3.1. Industrial Visual Inspection3.2. Banknote Recognition3.3. Signature Recognition3.4. Number plate Recognition3.5. Inspection of ceramic tiles3.6. Rat code Recognition3.7. Dynamic System Identification3.8. Data Mining3.9. Cell Formation Application3.10. Other Applications4. ConclusionReferences
Correlation Analysis of Environmental Pollutants and Meteorological Variables Applying Neuronal Networks
Abstract1. Introduction1.1. Principal air pollutants features1.2. The Air Quality Index (AQI)2. Model and Theoretical Fundament2.1. Variable definition2.2. Proposed Model2.2.1. Data Base, and Pre-processing2.2.2. Clustering Method2.2.3. Classifier Design2.2.4. Classifier Optimization3. Experimental Results3.1. Data Clustering for SO2 and PM10 concentrations3.2. AQI estimation for SO2, PM10 and Meteorological variables4. ConclusionsAcknowledgementsReferences
Early design analysis using rough set theory
Abstract1. Introduction2. Design Concepts Analysis3. Rough Sets Theory and Unavailable Information3.1. Basic notions3.2. Unavailable information4. An Approach to the Handling of Non-Relevant Attributes in Design Concepts Analysis5. A Case Study5.1. Application of Dissimilar Objects Algorithm5.2. A Comparative Study6. ConclusionsReferences
Hypermedia-based adaptive expert system for advanced performance support
Abstract1. Introduction2. Advanced performance support systems3. Integrated fault data model for diagnostic expert systems4. Adaptive retrieval of hypermedia-based technical information using data semantics4.1. Semantic data model for technical information4.2. Stereotype model for user knowledge4.3. User knowledge-based strategy for adaptive support using conditional semantic rules5. Integrated adaptive diagnostic expert system for a forklift truck6. ConclusionsReferences
Intelligent SERM (Strategic Enterprise Resource Management)
Abstract1. Introduction2. A brief overview of SERM3. Intelligent agents4. SERM agents5. ConclusionAcknowledgementReferences
Performance analysis of two-machine continuous-flow model with delay Iyad Mourani, Sophie Hennequin, Xiaolan Xie
Abstract1. Introduction2. Production line with delay3. Performance analysis4. Numerical resultsA. Case of exponential distributed random variablesB. Case of random variables of Weibull distributions5. ConclusionsAcknowledgementReferences
RULES-IS: An Immune-network inspired machine learning algorithm
Abstract1. Introduction2. Immune-System-inspired Rule Extraction Algorithm2.1. Representation of Antibody and Antigen2.2. Immune Network2.3. Matching Algorithm2.4. Antibody Generation via Combination2.5. Antibody Generation from Antigen2.6. Decomposition2.7. Incremental Learning Memory2.8. Overall Algorithm3. Results and Discussion3.1. Complete Data3.1.1. Season Classification Problem3.1.2. Flower Identification Problem3.1.3. Iris Data Set3.2. Incomplete Data4. Conclusions and Further WorkAcknowledgementsReferences
Semantic modelling of product support knowledge
Abstract1. Introduction2. Background and related work2.1. Product support2.2. Product support and knowledge engineering3. Knowledge modelling approach3.1. Product support knowledge sets3.2. From data to knowledge3.3. Conceptual modelling3.3.1. First phase3.3.2. Second phase3.4. Knowledge base and product support documents3.5. Implementation4. Conclusions and future workAcknowledgementsReferences
SO2 concentrations forecasting for different hours in advance for the city of Salamanca, Gto., Mexico.
Abstract1. Introduction2. Methodology2.1. Pre-processing2.2. General Description of GRNN2.3. GRNN Training2.4. GRNN Simulation3. Results4. Conclusions5. Further WorkReferences
Towards interactive analysis of virtual manufacturing simulations
Abstract1. Introduction2. Assumptions3. An overall framework4. Modeling the manufacturing system5. Preliminary Tier 1 calculations6. Pre-simulation, real-time visualization, and interactive analysis7. ConclusionsReferences
An integrated knowledge-based system for sheet metal processing
Abstract1. Introduction2. The modular structure of the system2.1. Modeling module2.2. Nesting module2.3. Process-planning module2.4. NC-programming module2.5. Simulation & reporting module3. The knowledge base of the system3.1. The Nesting Rule Base3.2. The Optimization Algorithm Library3.2.1. Sheet metal nesting algorithm3.2.2. Punching tool sequencing algorithm3.2.3. Cutting sequencing algorithm3.3. The Process Rule Base4. Case study5. ConclusionsAcknowledgementReferences
Artificial intelligence methods a challenge for the modern polymer chemistry
Abstract1. Introduction2. Polymer structures and properties2.1. Polymer structure2.2. Polymer properties3. Designee solution3.1. Genetic algorithm approach3.2. Multiobjective Tabu Search3.3. Neural network approach4. Results and discussions5. ConclusionsAcknowledgementReferences
Construction using combined materials - possibilities and limits
Abstract1. Introduction2. Material choice - the design engineer’s task3. Using plastic deformation to increase load-bearing capacity4. Combining composites and metal in the design of high speed air separators5. Development of ceramic ventilators for hot gas circulation at temperatures up to 1350°C6. ConclusionAcknowledgement7. References
Evolutionary Neuro-Fuzzy Modeling in Parametric Design
Abstract1. Introduction2. Background issues3. The Proposed Methodology3.1. Design entities and associative relations3.2. Solution search with GAs3.3. Transition to fuzzy model with ANN4. ConclusionsAcknowledgementsReferences
Intelligent Conceptual Design of Robot Grippers for Assembly Tasks
Abstract1. Introduction2. Conceptual Design and Configuration Problems3. Intelligent Gripper Design System3.1. Importing CAD Models3.2. Recognising Geometric Structures3.2.1. Reference Box3.2.2. Solid Object Checkers3.3. Determining Information about the Imported Components3.4. Grouping Components3.5. Generating the Optimum Gripping Solution4. Example Application5. Conclusion and Further WorkAcknowledgementsReferences
Knowledge-based and requirements-driven product development
Abstract1. Introduction2. The knowledge society2.1. Innovation and vision2.2. PRIME3. Starting point: requirements3.1. Requirement engineering3.2. Configuration and change management4. Intelligent design support5. ConclusionsAcknowledgementReferences
Participatory innovative design technology tools for enhancing production systems and environment
Abstract1. Introduction2. Technologies supporting participatory design2.1. Video Exposure Monitoring (VEM)2.2. Virtual Environments (VEs)2.3. Participation3. Application examples3.1. Case 1: Steel factory3.2. Case 2: Medium size factories3.3. Case 3: Vehicle manufactures3.4. Case 4: Contamination problems in production systems4. Application fields and future development5. ConclusionsAcknowledgementsReferences
Statistics supporting the design process via Kansei Engineering
Abstract1. Introduction2. Kansei Engineering methodology3. Examination of the semantic space4. Prediction Models5. ConclusionsAcknowledgementReferences
A case-based reasoning of computer-aided process planning system for rotational parts
Abstract1. Introduction2. Background and previous related research3. The case-based approach4. Proposed CAPP4.1. Description of the proposed CBR system5. Components of the case-based reasoning (CBR) system5.1. Parts database and similarity system5.2. Case retrieval5.3. Case adaptation4. ConclusionsAcknowledgementsReferences
A knowledge-based system to schedule multi-skilled labor with variable demand
Abstract1. Introduction2. Problem definition3. Shift-assignment model4. The proposed knowledge-based system5. Computational results6. Conclusion7. Future workAcknowledgmentsReferences
Application of reinforcement learning to a mobile robot in reaching recharging station operation
Abstract1. Introduction2. Background/literature review3. System implementation4. Experiments4.1. Reinforcement Learning Rate4.2. RL vs. non-AI control5. Results and analysis5. I RL rate5.2. RL vs. non-Aï control6. ConclusionsReferences
Intelligent manufacturing strategy selection
Abstract1. Introduction2. Literature review3. Causal strategy selection3.1. Game theory3.2. Dynamic causal mining3.3. Causal game theory4. An illustrative example5. ConclusionAcknowledgementReference
Operating policy generation using a reinforcement learning agent in a melt facility
Abstract1. Overview2. Problem Formulation2.1. Overview2.2. Metal demand2.3. State definition2.4. Action Selection3. RL agent design3.1. General structure3.2. Agent reward4. Results and discussion5. ConclusionReferences
Quantitative utilities for the ‘intelligent’ definition of CNC programs for the high speed milling of complex parts
Abstract1. Introduction2. CAM planning process2.1. Analysis of the stability of process2.2. Force definition3. Example4. ConclusionsAcknowledgmentsReferences
Using artificial neural networks for process planning of cylindrical machined components
Abstract1. Introduction2. Background and previous related research2.1. Applications of expert systems in CAPP2.2. Applications of fuzzy reasoning in CAPP2.3. Applications of neural networte in CAPP3. Proposed CAPP methodology for process selection3.1. Objectives and scope3.2. Strategy for development of the neural network architecture3.2.1. Identification of network input and output variables3.2.2. Preparation of the set of training examples3.2.3. Designing, training and validating of the neural network3.2.3. Designing, training and validating of the neural network3.3. Illustrative examples and results4. ConclusionsAcknowledgementsReferences
Active Interpolated Surfaces for Robotic Arm Control: The Potential for High Speed Implementation in FPGA
Abstract1. Introduction2. Method2.1. Definition of the problem2.2. Implementation of the interpolated surfaces2.3. 3-dimensional virtual model using Webots robot simulation package2.4. Modelling using a PUMA robot data2.5. Active Surface interpolation algorithm2.6. Adaptation - switching sides3. Results4. DiscussionAcknowledgementsReferences
Design and Implementation of a Web Based Mobile Robot
Abstract1. Introduction2. Developed Web Based Mobile Hobot: SUNAR2.1. Vehicle Motion System2.2. Camera Motion System2.3. Communication System2.4. Control Center2.5. Software Developed2.6. Vision System of SUNAR3. Results and ConclusionsReferences
Docking of Autonomous Vehicles: A Comparison of Model-Independent Guidance Methods
Abstract1. Introduction2. Line-of-Sight Based Task-Space Sensing3. Model-Independent Guidance Methodologies3.1. Guidance Based on Passive Sensing3.2. Guidance Based on Active Sensing4. Simulations4.1. Set-up and Procedure4.2. Examples5. Discussion and ConclusionsAcknowledgementsReferences
Simulation and Optimisation of a Tendon-Based Stewart Platform
Abstract1. Introduction1.1. The Challenge of a Tendon-based Stewart Platform2. Simulation of controllable workspace2.1. The kinematic model2.1.1. Assumptions2.1.2. Force-Torque-Equilibrium2.2. The simulation tool2.3. Controllable workspace of the prototype3. Optimisation3.1. Reduction of mechanical fasteners of the platform3.2. Tetraeder structureConclusions / Further WorkAcknowledgementsReferences
Visual servoing of a robotic manipulator based on fuzzy logic control for handling fabric lying on a table
Abstract1. Introduction2. The robot sewing process2.1. The control system2.2. Image features extraction3. Experimental results4. ConclusionsAcknowledgementsReferences
A Computer Aided Design System for Product Oriented Manufacturing Systems Reconfiguration
Abstract1. Introduction2. Product Oriented Manufacturing Systems3. Computer Aided Design System for POMS3.1. CADS POMS components and structure3.2. Fundamental concepts and data sets4. ConclusionAcknowledgementsReferences
A Distributed Control Environment for Reconfigurable Manufacturing
Abstract1. Introduction2. Reconfiguration requirements on lower level control2.1. Requirements introduced through the domain2.2. Reconfiguration process requirements2.3. Requirements for engineering of reconfiguration applications3. IEC 61499 as a reference model for reconfigurable distributed control at real-time level3.1. Main characteristics of IEC 614993.2. Management interface of IEC 61499 devices4. Engineering & runtime environment for distributed automation and control systems4.1. Approach for controlled evolution4.2. Modelling of control and evolution control4.3. Execution environment for control and evolution control applications4.3.1. Description of the execution environment5. Demonstration prototype6. Summary and conclusionsAcknowledgementsReferences
A multi-agent scheduler for reconfigurable manufacturing systems
Abstract1. Introduction2. Scheduling challenges in RMS2.1. Layout2.2. Performance measures2.3. Distributed Scheduling2.4. RMS Scheduler Requirements3. Multi-agent scheduling3.1. Multi-agent systems3.2. Resource allocation4. A Multi-Agent Scheduler for RMS4.1. Overview4.2. The agents4.3. Allocation of tasks5. Simulation tests6. ConclusionsAcknowledgementsReferences
Custom-Fit: A knowledge-based manufacturing system enabling the creation of Custom-Fit Products to improve the Quality of Life
Abstract1. Introduction2. Applications3. Objectives3.1. Technical & Scientific Objectives3.2. Social & Policy Objectives3.3. Core3.4. Implication on Business & Consumer3.4.1. Capturing Technology3.4.2. Design technology and systems3.4.3. Rapid manufacturing processes, machines and materials4. ConclusionsAcknowledgementsReferences
Hybrid Manufacturing Technologies
Abstract1. Motivation2. Charakterisation of Hybrid Manufacturing Methods3. Thermally Assisted Hybrid Processes4. Chemically Assisted Hybrid Processes5. Mechanically Assisted Hybrid processes6. ConclusionAppendix A. AuthorsReferences
Reconfigurable Robots towards the Manufacturing of the Future
Abstract1. Introduction2. Robot Platforms3. Mechatronic modules4. Design, motion planning and control aspects5. Challenges and perspectives6. Conclusions7. AcknowledgementsReferences
Robotised nano manufacturing: current developments and future trends
Abstract1. Introduction2. Current developments2.1. Nano motion and positioning2.2. SPM-based nano vision and manipulation2.3. Nano gripping and 3D handling3. Future trends3.1. Object-oriented nano manipulation3.2. Versatile 3D nano handling3.3. Automatic or semi-automatic 3D nano assembly3.4. Nano rapid prototyping and rapid tooling3.5. Hybrid nano handling and manufacturing4. ConclusionAcknowledgementsReferences
Simulation of manufacturing processes using multi-agent technology
Abstract1. Introduction2. Agent-based planning and simulation3. Time Synchronization3.1. Confirmed Time Windows Synchronization4. System architecture4.1. Simulation agents4.1.1. Agent structure4.1.2. Contracting and Negotiation4.2. Time synchronization and control4.3. Visualization and data evaluation4.3.1. Logical Visio4.3.2. Analytical Visio4.3.3. 3D Visio4.3.4. Log Manager5. Conclusions and future work6. AcknowledgementsReferences
The reality of functionally graded material products
Abstract1. Introduction12. Rapid Manufacturing2.1. Monomaterial2.2. Multimaterial3. Functionally Graded Materials3.1. History of Functionally Graded Materials3.2. Rapid Manufacturing and FGM4. Modeling FGM structures5. Innerspace principles5.1. Domains5.2. PropsISO propVari propDistribution functionsAbsolute distribution junctionRelative distribution function6. ConclusionReferences
Acoustic Holography in Solids for Computer-Human Interaction
Abstract1. Introduction2. Acoustic source localisation methods3. Optic Holography4. Acoustic Holography5. Rayleigh-Sommerfeld Algorithm6. Material and applications8. Experimental and simulation results7. ConclusionAcknowledgementsReferences
Acoustic pattern registration for a new type of human-computer interface
Abstract1. Introduction2. Acoustic signal pattern registration and matching3. Experimentation4. ConclusionAcknowledgementsReferences
Expressive Gesture in Tangible Acoustic Interfaces
Abstract1. Introduction2. The EyesWeb 4 platform3. Expressive gesture in TAIs4. TAI interfaces in EyesWebConclusions and future workAcknowledgementsReferences
Hardware structure of tangible acoustic interface systems
Abstract1. Introduction2. Operating principle of tangible acoustic interfaces3. Acoustic Sensors and signal conditioning4. Embedded Digital Signal Processing (DSP) system5. Multi-channel AD converter and interface with DSP6. Results and conclusionAcknowledgementsReferences
Impact Localisation Techniques for Tangible Acoustic Interfaces
Abstract1. Introduction2. TDOA Approach3. LTM Approach4. Implementation5. ConclusionAcknowledge mentsReferences
In-air passive acoustic source localization in reverberant environments
Abstract1. Introduction2. Methods used in passive source localization3. TDOA method based on PHAT3.1. Mathematical model of TDOA based on cross correlation3.2. The phase transform4. MATLAB simulation results5. Experimental tests6. ConclusionsAcknowledgementsReferences
A framework for the integration of a trajectory pre-shaping technique into an advanced machine tool system
Abstract1. Introduction2. Overview of the Analytical Technique2.1. General characteristics of the technique2.2. Requirements2.3. Outline of design with velocity loop model3. Integrating Into a Machine Tool System3.1. Preparing motion profiles3.2. Implementing trajectory pre-shaping3.3. Obtaining parametric models3.4. The integration of main components3.4.1. Core level3.4.2. Middle level3.4.3. Top level6. ConclusionReferences
Accurate 3D modelling for automated inspection: A stereo vision approach
Abstract1. Introduction2. Disparity estimation algorithms1.1. Probabilistic measure1.2. Optimization and interpolation3. Experimental outcomes4. Conclusion5. AcknowledgmentReferences
Best practice development within a manufacturing enterprise collaboration framework
AbstractKeywords1. Introduction2. Best practice3. Best practice development and learning4. ICT and collaborative manufacturing5. Findings and discussion6. ConclusionAcknowledgementReference
Development of a Smart Supervisory Control System in a Sugar Mill Crystallisation Stage
Abstract1. Introduction2. The Smart Supervisory Control Framework2.1. Modular architecture2.2. Standard layer2.3. Discourse semantics2.4. Meta-consequent3. Predictive models3.1. Crystallisation stage overview3.2. Syrup rate prediction3.3. Individual empirical vacuum pan models3.4. Pan stage massecuite model3.5. Stock tank models4. Discussion and ConclusionAcknowledgementsReferences
From simulation to VR based simulation and testing
Abstract1. Introduction1.1. VR for broad consumption1.2. Simulation2. VR as simulation tool for design product testing2.1. Beta testing2.2. Simulation as a tool of hardware/software testing2.3. What is missing from Virtual Reality simulation3. Design product VR simulation and testing4. Virtual Reality simulation implementation4.1. Designing of the VR assembly simulation4.2. Building behavior model of the VA simulation4.3. Input and control peripheral devices5. ConclusionReferences
Identifying defects on plywood using a minimum distance classifier and a neural network
Abstract1. Introduction2. The minimum distance classifier (MDC)2.1. Calculating the weights of the MDC3. Neural network (NN)3.1. Feedforward calculations3.2. Error back-propagation claculations4. Wood veneer inspection application5. Training the classifiers5.1. Training the wood veneer inspection minimum distance classifier (WVIMDC)5.2. Training the wood veneer inspection neural network (WVINN)6. ConclusionAcknowledgementReferences
Issues concerned with the spatial optimisation of shapes
Abstract1.0. Introduction2.0. Problem Definition3.0. Objective Function4.0. Overlap between shapes5.0. Optimisation method6.0. Initial Configuration7.0. ConclusionAcknowledgementsBibliography
Optimisation of nesting using Simulated Annealing
Abstract1.0. Introduction2.0. The Markov chain length3.0. The Cooling Schedule4.0. The move set5.0. The objective function6.0. ConclusionAcknowledgementsReferencesBibliography
Rapid Tooling Process Chain
Abstract1. Introduction2. CAD construction3. Data Preparation4. DMLS Building Process5. Finishing6. Final Sintered Products7. Conclusion8. References
Reverse engineering and rapid prototyping for new orthotic devices
Abstract1. Introduction1.1. Reverse engineering1.2. Biomedical applications of reverse engineering2. Methods2.1. Data Acquisition2.2. Pre-processing2.3. Contours and surface fitting2.4. CAD Model creation and data analysis3. Results3. I. New personalized elbow orthosis3.1.1. Elbow CAD model based on laser scanning “in vivo”3.1.2. Elbow CAD model based on laser scanning of a wax model.3.1.3. Manufacturing of the Elbow Orthosis using Rapid Prototyping3.2. New personalized ankle-foot orthosis4. ConclusionAcknowledgementsReferences
Towards rapid sheet metal forming
Abstract1. Introduction2. Dieless forming of sheet metals2.1. Mechanics of ISF2.2. Equipment and software for ISF2.3. Accuracy of incremental ISF2.4. Economics of lSF2.5. Research issues in ISF3. Forming Of Sheetmetal using Reconfigura ble Tool3.1. Mechanics of sheetmetal forming using reconfigurable tooling3.2. Equipment for sheetmelal forming using reconfigurable tooling3.5. CAD/CAM system for sheetmetal forming using reconfigurable tooling3.6. Accuracy of sheetmetal forming using reconfigurable tooling3.7. Economics and sustainability issues in sheetmelal forming using reconfigurable tooling3.8. Research issues in sheetmetal forming using reconfigurable tooling4. ConclusionsAcknowledgementReferences
Agent-based multiple supplier tool management system
Abstract1. Introduction2. Turbine blade manufacturing3. Generic agent shell4. Multi-agent tool management system4.1. MATMS agent communication4.2. MATMS functioning5. ConclusionsAcknowledgementsReferences
A correlation between the friction coefficient and the roughness of rolls in a hot flat rolling
Abstract1. Introduction2. Experimental tests3. Experimental results4. FEM analysis5. ConclusionAcknowledgementsReferences
Advanced Hybrid Mechatronic Materials for ultra precise and high performance machining systems design
Abstract1. Introduction2. Requirements and possible solutions2.1. Reduction of Vibration in a low frequency domain (0-50 Hz)2.2. Reduction of Vibration in a high frequency domain (50-1000 Hz)2.3. Reduction of structura! displacements due to thermal effects or elastic deformations3. Passive solutions for the reduction of vibrations4. Active solutions for the reduction of vibrations4.1. Tuned Absorbers4.2. Smart Platform5. Solutions for thermal deformation problems5.1. Fiber Bragg Gratings5.2. Extrinsic Fabry Perot Interferometer Sensors6. ConclusionsAcknowledgementsReferences
Advanced ultrasonic system for high performance composite laminate nondestructive evaluation
Abstract1. Introduction2. Ultrasonic Nondestructive Evaluation System2. Materials and experimental work2.1. Materials2.2. Mechanical testing2.3. Ultrasonic testing3. Results and discussion3.1. Mechanical testing results3.2. Ultrasonic non-destructive evaluation results3.2.1. UT image generation3.2.2. UT image analysis4. ConclusionsAcknowledgementsReferences
Application of Artificial Neural Networks in the prediction of quality of wastewater treated by a biological plant
Abstract1. Introduction2. The biological plant3. Scope and ANN architectures4. Results and discussion5. ConclusionsReferences
Chip form monitoring in turning based on neural network processing of cutting force sensor data
Abstract1. Introduction2. Experimental procedures3. Sensor signal analysis4. Neural network data processing5. Result and discussion6. ConclusionsAcknowledgementsReferences
Critical aspects in the application of acoustic emission sensing techniques for robust and reliable tool condition monitoring
Abstract1. Introduction2. Background2.1. Friction and tool wear2.2. Friction and acoustic emission3. Problems and solutions3.1. Definition of the cutting tests3.2. Definition of the tool condition monitoring tests4. ConclusionsAcknowledgementsReferences
Design, CFD Simulation and Testing of Special-Purpose Nozzles for Powder Coating Guns
Abstract1. Introduction2. Evaluation of the efficiency of the basic powder coating gun nozzle3. Creation of Virtual Prototype Powder Coating Nozzle and CFD Validation3.1. CAD Design of Virtual Prototype Nozzle3.2. CFD Validation of Virtual Prototype Nozzle3.2.1. Simulation of Inlet Nozzle Pressure3.2.2. CFD Simulation of Spray Patterns Using Virtual Prototype Nozzle4. Rapid Prototyping of New Nozzle Designs5. Nozzles Testing and Evaluation6. ConclusionsAcknowledgementReferences
Development of an artificial neural network for defects prediction in metal forming
Abstract1. Introduction2. The artificial neural network approach3. Network morphology4. Number of hidden layers and neurons5. The training process6. Input vectors and data structures6. Analysis of the results7. ConclusionsReferences
FEM analysis of advanced high strength steel car body drawing process
Abstract1. Introduction2. Material requirements for sheet metal drawing2.1. Safety requirements2.2. Durability requirements2.2.1. Corrosion2.2.2. Fatigue2.3. Environmental requirements2.4. AHSS disadvantages3. FEM analysis of sheet metal drawing processes3.1. Finite element methods (FEM)3.1.1. FEM codes3.1.2. FEM approaches (one-step vs. incremental)The FEM numerical computation typology for3.1.3. Elements in sheet metal drawing simulation3.2. AutoForm FEM code4. Test case with AutoForm Incremental code6. ConclusionsAcknowledgementsReferences
Flexible tool management strategy for optimum tool inventory control
Abstract1. Introduction2. CBN grinding wheel tool management3. Tool inventory control3.1. Flexible Tool Management Strategy3.2. Novel FTMS Approach3.3. Test Case Applications4. Conclusions and further developmentsAcknowledgementsReferences
Neural network material modelling for machining FEM simulation
Abstract1. Introduction2. NN processing procedures2.1. Stress-strain curves for NN training set formation2.2. Neural network processing2.2.1. NN configuration: 3-5-12.2.2. NN configuration: 4-5-12.2.3. NN configuration: 6-5-12.2.4. NN configuration: 7-5-13. Material modelling input into the FEM code4. ConclusionsAcknowledgementReferences
Open controller enabled by an advanced real-time network
Abstract1. Introduction2. Objectives3. Phases of the project3.1. Analysis of Communication Systems, Platforms and Tools3.2. Design, implementation and validation of a Distributed Control System Real-time Framework (DCRF)3.2.1. Implementation of the DCRF3.2.2. Configuration system3.3. Design, implementation and validation of Motion Control base and extension components for an open numerical control system3.4. Current and future activitiesAcknowledgementsReferences
Prediction of machining errors on the geometric accuracy of a milled guide
Abstract1. Introduction2. Form Shaping Function3. Error Matrix4. Modelling swept envelopes of cutting tools5. Application at the case of a milted guide6. Future developmentsAcknowledgementsReference
Reconstruction of 3-D Relief Surfaces from 2-D Images
Abstract1. Introduction2. The illumination model3. Transforming a 2-D image into a digital image4. Extraction of the grey levels from the image5. Applications of the proposed approach to reverse engineering process1. Reverse engineering design of a paperclip2. Recreation of 3-D relief surface from a 2-D visual image6. ConclusionsAcknowledgementsReferences

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Intelligent Production Machines and Systems - First I*PROMS Virtual Conference

by Duc T. Pham

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