Web-enabled, Real-time, Quality Assurance for Machining Production Systems

AbstractIn order to maintain the close control of production quality, frequent measurement and process parameter adjustments are desirable. In the discrete parts industry, part inspection is intended to be a metric for the process quality but quality control is typically done long after the part has been machined. The long latency between machining and quality assessment makes it difficult to incorporate quality feedback into production. Quality assurance relies on continuous real–time quality feedback, which is not a complex concept. However, the collection and representation of the necessary process data and quality measurement data is challenging. This paper discusses Web-enabled, real-time quality data and statistics based on the integration of two manufacturing open specifications: MTConnect and Quality Measurement Results (QMResults). A pilot implementation that integrates the two technologies and produces Web-enabled, real-time quality results in a standard XML representation from Computer Numerical Control (CNC) machine tool inspections will be discussed

An eXtended Manufacturing Integrated System for feature based manufacturing with STEP-NC

International audienceCNC feature-based programming with STEP-NC standard extends the collaborative model of manufacturing data exchange all along the numerical data chain. This paper considers the mutations related to this approach from the manufacturing system level to the industrial enterprise as a whole. The eXtended Manufacturing Integrated System concept is introduced to fill in the gap of the current manufacturing data exchange bottleneck. It is composed of eXtended CAD and eXtended CNC systems to link the CAD model to the real machined part through the Manufacturing Information Pipeline. The contributions associated with these concepts are demonstrated through a validation platform implemented on industrial CNC manufacturing equipments

Visualisation of semantic architectural information within a game engine environment

Because of the importance of graphics and information within the domain of architecture, engineering and construction (AEC), an appropriate combination of visualisation technology and information management technology is of utter importance in the development of appropriately supporting design and construction applications. We therefore started an investigation of two of the newest developments in these domains, namely game engine technology and semantic web technology. This paper documents part of this research, containing a review and comparison of the most prominent game engines and documenting our architectural semantic web. A short test-case illustrates how both can be combined to enhance information visualisation for architectural design and construction

On systematic approaches for interpreted information transfer of inspection data from bridge models to structural analysis

In conjunction with the improved methods of monitoring damage and degradation processes, the interest in reliability assessment of reinforced concrete bridges is increasing in recent years. Automated imagebased inspections of the structural surface provide valuable data to extract quantitative information about deteriorations, such as crack patterns. However, the knowledge gain results from processing this information in a structural context, i.e. relating the damage artifacts to building components. This way, transformation to structural analysis is enabled. This approach sets two further requirements: availability of structural bridge information and a standardized storage for interoperability with subsequent analysis tools. Since the involved large datasets are only efficiently processed in an automated manner, the implementation of the complete workflow from damage and building data to structural analysis is targeted in this work. First, domain concepts are derived from the back-end tasks: structural analysis, damage modeling, and life-cycle assessment. The common interoperability format, the Industry Foundation Class (IFC), and processes in these domains are further assessed. The need for usercontrolled interpretation steps is identified and the developed prototype thus allows interaction at subsequent model stages. The latter has the advantage that interpretation steps can be individually separated into either a structural analysis or a damage information model or a combination of both. This approach to damage information processing from the perspective of structural analysis is then validated in different case studies

ENABLE-S3 – Advanced V&V technologies and methods combined with simulation and testing environments enable the safe and secure development of Autonomous Vehicles

Highly automated and autonomous transport is a technology field that enables safer and cleaner transport and unburdens the driver from boring and/or error prone driving task. The development of automated transport features and vehicles will or have already led to new business opportunities in many technology sectors, like sensor technologies, SW-development or mobility services to name just a few of them. The highly precise sensors and communication technologies as well as the necessary computing power and algorithms within the vehicle plus the digital infrastructure that are necessary to realize the autonomous transport are developing very fast. But this goes also along with new heavy-weight challenges in terms of safety and security aspects. Extensive verification and validation efforts are necessary to make automated systems at least as safe as human-operated systems are nowadays. The ENABLE-S3 project develops verification and validation technologies and methods that will help to tackle this challenge with reasonable efforts and high coverage of test-cases. 71 partners from different transport sectors (automotive, aerospace, rail, maritime, farming) and other industries are creating new knowledge in the areas of testing and simulation methods & technologies as well as the required testing platforms and environments. Research within ENABLE-S3 focuses on: - Test and simulation environments supporting open standards (e.g. Functional Mock-up Interface, OpenSimulationInterface) wherever possible in order to run tests for automated transport seamlessly in different virtual and semi-virtual environments. - Open standards for the definition, management and execution of test cases/testing scenarios like OpenScenario or OpenDrive and their relationship to other existing standards like ASAM-XiL. - Investigation of testing methodologies which are necessary to reduce the number of test cases tremendously, among them are DoE (design of experiments), combinatorial testing, FMEA analysis etc. - Development of sensor models as well as sensor stimuli (physical sensor signal generators). - Generation of test cases out of existing recorded real-world data. The developed methods are applied in different industrial use-cases. This paper will give an overview over the needed building blocks for testing AD functions, including scenario generation, test planning, and test execution and simulation that were already developed within the ENABLE-S3 project and will finally present a practical use case and the application of aforementioned methods to an ACC function of a vehicle. The results gained so far in the project will show that the verification and validation methods combined with simulation and testing technologies for automated vehicles in transport play a major role in reaching the high safety and security levels that end customers and legal authorities will demand for this important technology in order to get acceptance and in order to provide a great step forward in reducing road fatalities and at the same time also CO2 emissions

Business process management: a bird's-eye view and research agenda.

Processes; Management; Research;