Nowadays, several manufacturing systems are evolving towards a greater collaboration between human and robots. The development of such systems requires integrated design tasks involving many ...disciplines and domains such as systems engineering, safety analyses and multi-physics. Furthermore, the increasing presence of multiple and structured requirements makes the use of models inevitable during the designing phases and also strongly helpful during other phases of the system life-cycle. Besides, for a better efficiency, there is an increasing demand to have a Digital Twin of the system to be used for different purposes such as design improvements by playing different scenarios, virtual commissioning and controlling maintenance activities. In this paper, we first summarize the research context, the reference methodologies, and the emerging needs for Digital Twin creation. Then, we apply a design approach including Model-Based Systems Engineering (MBSE), Model-Based Safety Assessment (MBSA) and multi-physics modeling for the design of a collaborative workplace for the assembly of Electro-Mechanical Actuators on an aircraft wing. An operational flow to integrate MBSE, MBSA and multi-physics modelling activities is provided. Then, after having identified some relevant scientific barriers, we provide a meta-model for system models integration within a digital twin framework.
The transition to sustainable energy sources presents significant challenges for energy distribution and consumption systems. Specifically, the intermittent availability of renewable energy sources ...and the decreasing usage of fossil fuels pose challenges to energy flexibility and efficiency. An approach to tackle these challenges is demand-side management, aiming to adapt energy consumption and demand. A key requirement for demand-side management is the traceability of the energy flow among individual energy consumers. In recent years, advancements in industrial information and communication technology have provided additional potential for data acquisition. Complementary to acquired data, a physics-based modeling and analysis approach is proposed, which describes the energy consumption with physical parameters. This results in comprehensive options for monitoring actual energy consumption and planning future energy demand supporting energy efficiency and demand-response goals. To validate the proposed approach, a case study with a 3D printer covering approximately 110 h of active printing time is conducted. The medium-term study results indicate a consistent parameter trend over time, suggesting its conceptual suitability for industrial application. The approach helps to monitor energy efficiency among manufacturing assets by identifying peak loads and consumption hotspots, and provides parameters to estimate energy consumption of manufacturing processes. Results indicate up to 50% energy savings when switching the printing material and indicate further potentials.
Volatility in the availability of energy resources is a key challenge to master in the transition to sustainable energy sources. Especially with a rising share of renewable energy sources the ...situation is expected to intensify. To leverage the situation within an industrial context, energy-aware scheduling could be used. However, state-of-the-art simulation techniques use state-based energy determination, which is merely suitable for recurring manufacturing of products.
In order to enable energy-aware scheduling within a changeable manufacturing environment, an alternative approach is researched. The approach aims to disaggregate the used manufacturing entities and identify the individual load patterns. Based on the individual load patterns, a simulation and optimization architecture was derived to conduct energy-aware scheduling in future applications.
The used methods include the analysis of current methods for scheduling and energy consumption prediction and derivation of the component-based simulation approach based on the state-of-the-art. Depending on the inclusion of environmental dependencies two optimization architectures were created. A case study with a small-scale demonstrator was conducted to present and validate the approach. Within the scope of the small-scale demonstrator the approach could be validated. The main contribution of the publication is the provision of an approach for scheduling orders for merely non-recurring jobs.
Optimizing and predicting the energy consumption of industrial manufacturing can increase its cost efficiency. The interaction of different aspects and components is necessary. An overarching ...framework is currently still missing, and establishing such is the central research approach in this paper. This paper provides an overview of the current demands on the manufacturing industry from the perspective of digitalization and sustainability. On the basis of the developed fundamentals and parameters, a superordinate framework is proposed that allows the modelling and simulation of energy-specific properties on several product and process levels. A detailed description of the individual methods concludes this work and demonstrates their application potential in an industrial context. As a result, this integrated conceptual framework offers the possibility of optimizing the production system, in relation to different energy flexibility criteria.
Software and systems engineering combine artifacts from diverse domains and tools. This article explores how incremental consistency checking is able to automatically and continuously detect ...inconsistencies among these artifacts.
Metrics Generation Process for Mechatronics Warniez, Aude; Penas, Olivia; Choley, Jean-Yves ...
Journal of robotics and mechatronics,
02/2016, Letnik:
28, Številka:
1
Journal Article
Recenzirano
Odprti dostop
abstFig src='/00280001/05.jpg' width=""300"" text='Metrics generation process overview' Due to the complexity of designing mechatronic systems, providers of these systems need to precisely evaluate ...their products, design processes and projects all along the design phase and beyond. We propose a metrics generation process and then define related specifications to develop an evaluation tool to build customized metrics for the mechatronic industry with respect to its specific process and expectations. The proposed process has been experimented on the modularity measure of two generations of vacuum cleaner robots.
The increased competitive pressure forces companies to cease distinguishing products and services, and to provide customers with highly individualised solutions. To meet this requirement, it has been ...proposed the concept of product-service system (PSS) that is not simply an extension of physical products by delivering non-physical services to customers, but a systematic combination of products and services. However, most current studies do not consider the multi-disciplinary integration relating to the PSS design process, during which the collaboration within the product and service design teams should be achieved. Otherwise, the large number of iterative design activities resulting from poor multi-disciplinary collaboration may lead to long development lead-times and high development cost.
To achieve the multi-disciplinary integration during the PSS design process, the authors propose an integrated design method using an improved interface modelling approach that provides a structural form to represent the information transfer between product and service components. The proposed PSS design method enables the product and service design teams to decrease the iterative design activities and improve their collaboration so that a more integrated design process can be accomplished. To demonstrate its effectiveness, the design method is applied to a design case of an industrial PSS.
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