Z-Fact0r project deliverables
The page lists 12 deliverables related to the research project "Z-Fact0r".
List of Deliverables
| title and desprition | type | last update |
|---|---|---|
Project WebsiteA project website will be developed and also continuously updated with project progress information. Programme: H2020-EU.2.1.5.1. - Topic(s): FOF-03-2016 |
Websites, patent fillings, videos etc. | 2020-04-09 |
Z-Fact0r middleware platform and componentsDefinition of the specifications for the middleware and related components that integrates the sensors network with the proposed Z-Fact0r architecture. The middleware itself will act as service bus, based on SOA architecture, for the communication between levels. In this sense, all the elements to be attached to the middleware will be considered. The integration of the middleware with the multi sensor/actuator cloud will be achieved through the Device Managers which will allow an interoperable communication mechanism based on standardized protocols (e.g. OPC UA) with any kind of sensors and actuators on the shop floor. Programme: H2020-EU.2.1.5.1. - Topic(s): FOF-03-2016 |
Demonstrators, pilots, prototypes | 2020-04-09 |
Integration Discipline and Incremental StrategyZ-Factor architecture encompasses the design and development of a diverse set of technologies with different specifications, requirements and developing methodologies. Therefore, as an early activity in the Task, we’ll define an integration discipline to be followed for the integration exercise, incl. methodology, activities to be performed, hierarchy of components / interfaces integration, incremental builds, etc. Programme: H2020-EU.2.1.5.1. - Topic(s): FOF-03-2016 |
Documents, reports | 2020-04-09 |
Techniques for product reworkingA novel approach will be used by the Z-fact0r consortium to deal with the repairing/reworking, fully automated process of defected parts in a manner that will result in quality restoration of the defect without any deviation of the non-repaired parts. In this respect, the defected areas will be patched with dispensed material of the same kind as the underlying component using ink or paste dispensing techniques. Programme: H2020-EU.2.1.5.1. - Topic(s): FOF-03-2016 |
Documents, reports | 2020-04-09 |
Methodology for Z-Factor solution validation / evaluation• Methodology for the types of evaluation activities, timeframe and expected results per activity, instruments to be used (e.g. users’ acceptance questionnaires, impact check-lists and data collection forms) to assist the different types of evaluation exercise. Programme: H2020-EU.2.1.5.1. - Topic(s): FOF-03-2016 |
Documents, reports | 2020-04-09 |
Z-MANAGE Prescriptive Green Optimisation Model and SolverMathematical modelling of respective KPIs such as customer service and energy/power consumption as functions of decision variables. The resultant will be a multi-objective mixed-integer programming (MOMIP) model. To solve the model, a metaheuristic solver will be developed. Programme: H2020-EU.2.1.5.1. - Topic(s): FOF-03-2016 |
Other | 2020-04-09 |
Management update report 2Outline document describing the achieved progress from the 13th till the 24th month reporting period Programme: H2020-EU.2.1.5.1. - Topic(s): FOF-03-2016 |
Documents, reports | 2020-04-09 |
Deburring remanufacturing approachesA novel concept of intelligent robotic deburring cells, implementing ZF’s ZD strategies will be developed. Metrological on-line inspection tools will evaluate product quality at each deburring stage identifying defects; a parametrized model based control will interpret the sensory input and, thanks to a model based control embedding the knowledge of the deburring process, will automatically generate an optimized deburring cycle, choosing the best tools and setting the ideal working parameters. The Robot cell supervisory control will be then able to automatically generate the multi-stage deburring cycle once sensed the quality achieved. After each deburring stage, the quality achieved will be checked in order to better tune the next operation or, in the worst case, define a proper repairing action. Proper compliant tools and ZD deburring strategies will also be defined. One of the major challenges will deal with the development of the inference engine, and its encoding into the robotic cell supervisory control, in order to add the robotic cell the “intelligence†to autonomously generate ZD strategy in real-time. Integration and validation will be carried out experimentally on a prototype at TRL 5-6. Programme: H2020-EU.2.1.5.1. - Topic(s): FOF-03-2016 |
Documents, reports | 2020-04-09 |
Z-PREVENT Validation and Verification of KPIsValidation and verification of the KPI models by experiments on the line and with the help of line managers from the use-case factories. The models for the 5 KPIs (Productivity, Efficiency, Quality (Customer Satisfaction), Environmental Impact, and Inventory levels) will be measured and fine-tuned. The already installed actuators and sensors will be used to monitor the KPI over time Programme: H2020-EU.2.1.5.1. - Topic(s): FOF-03-2016 |
Documents, reports | 2020-04-09 |
Data Management Plan (DMP)The plan will describe ways to manage all research data, and metadata, during and after the project duration. Programme: H2020-EU.2.1.5.1. - Topic(s): FOF-03-2016 |
Documents, reports | 2020-04-09 |
Management update report 1Outline document describing the achieved progress for the first 12 month reporting period Programme: H2020-EU.2.1.5.1. - Topic(s): FOF-03-2016 |
Documents, reports | 2020-04-09 |
Report on the analysis of SoA, existing and past pro-jects/initiativesInvestigation and update on the SoA, analysing new, existing and past projects, initiatives and if new products/technologies have been introduced into the market. Programme: H2020-EU.2.1.5.1. - Topic(s): FOF-03-2016 |
Documents, reports | 2020-04-09 |