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  • 1.
    Botkina, Darya
    et al.
    KTH.
    Hedlind, Mikael
    Olsson, Bengt
    Henser, Jannik
    KTH, School of Industrial Engineering and Management (ITM).
    Lundholm, Thomas
    KTH, School of Industrial Engineering and Management (ITM).
    Digital Twin of a Cutting Tool2018In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 215-218Article in journal (Refereed)
    Abstract [en]

    This paper focuses on a digital twin of a cutting tool as a digital replica of a physical tool, its data format and structure, information flows and data management, as well as possibilities for further applications and analysis of productivity. Data are collected throughout the production lifecycle in an accurate way, using the international standard ISO 13399 and messaging based on the previously developed event-driven line information system architecture (LISA) with IoT functionality. The digital twin is tweeted to be stored, refined and propagated to the process planning for an optimized machining solution.

  • 2.
    Bouchouireb, Hamza
    et al.
    KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering. KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design.
    O'Reilly, Ciarán J.
    KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering. KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design.
    Göransson, Peter
    KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering. KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design.
    Schöggl, Josef-Peter
    University of Graz, Institute of Systems Sciences Innovation & Sustainability Research, Austria.
    Baumgartner, Rupert J.
    University of Graz, Institute of Systems Sciences Innovation & Sustainability Research, Austria.
    Potting, José
    KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design.
    The inclusion of vehicle shape and aerodynamic drag estimations within the life cycle energy optimisation methodology2019In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 84, p. 902-907Article in journal (Refereed)
    Abstract [en]

    The present work describes a widening of the scope of the Life Cycle Energy Optimisation (LCEO) methodology with the addition of shape-related design variables. They describe the curvature of a vehicle which impacts its aerodynamic drag and therewith its operational energy demand. Aerodynamic drag is taken into account through the estimation of the drag coefficient of the vehicle body shape using computational fluid dynamics simulations. Subsequently, the aforementioned coefficient is used to calculate the operational energy demand associated with the vehicle. The methodology is applied to the design of the roof of a simplified 2D vehicle model which is both mechanically and geometrically constrained. The roof is modelled as a sandwich structure with its design variables consisting of the material compositions of the different layers, their thicknesses as well as the shape variables. The efficacy of the LCEO methodology is displayed through its ability to deal with the arising functional conflicts while simultaneously leveraging the design benefits of the underlying functional alignments. On average, the optimisation process resulted in 2.5 times lighter and 4.5 times less life cycle energy-intensive free shape designs. This redesign process has also underlined the necessity of defining an allocation strategy for the energy necessary to overcome drag within the context of vehicle sub-system redesign.

  • 3. Dadbakhsh, Sasan
    et al.
    Mertens, Raya
    Vanmeensel, Kim
    Vleugels, Jef
    Humbeeck, Jan Van
    Kruth, Jean-Pierre
    In situ alloying and reinforcing of Al6061 during selective laser melting2018In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 74, p. 39-43Article in journal (Refereed)
    Abstract [en]

    This work investigates the feasibility of a novel method to simultaneously alloy and reinforce a low alloyed Al alloy (i.e., Al6061) during selective laser melting (SLM) via in situ decomposition of zinc oxide (ZnO). Based on Gibbs free energy calculations, an Al6061+6wt%ZnO powder mixture is designed and prepared. The thermal decomposition of ZnO, resulting in the formation of Al oxide and free Zn, simultaneously alloys and reinforces the Al matrix. This also provides extra thermal energy that alters the dynamics of the melt pool and necessitates a completely different set of optimised SLM parameters compared to traditional Al alloys. After SLM, it is shown that this method can successfully reinforce the Al matrix with numerous nanometer sized oxide particles (typically ~ 50-120 nm). Despite this clear success to manufacture in situ reinforced Al composites by SLM, the applied method could not avoid partial Zn evaporation (limiting in situ alloying) and could not successfully suppress the cracking that also occurs after SLM of unreinforced Al6061.

  • 4. Kianinejad, Kaveh
    et al.
    Uhlmann, Eckart
    Peukert, Bernd
    Investigation into Energy Efficiency of Outdated Cutting Machine Tools and Identification of Improvement Potentials to Promote Sustainability2015In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 26, p. 533-538Article in journal (Refereed)
  • 5.
    Kjellberg, Torsten J. A.
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Editorial: Creative Design of Products and Production Systems2016In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 50Article in journal (Refereed)
  • 6.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Grahn, Sten
    Nuur, Cali
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
    Characterization of the impact of digitalization on the adoption of sustainable business models in manufacturing2019In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 81, p. 765-770Article in journal (Refereed)
    Abstract [sv]

    Sustainability and digitalization are fast growing sub-topics in the domain of manufacturing research and they will both be main forces shaping the future production systems. An overview of the related literature reveals two big bodies of knowledge being created in these fields, but also a little intersection among them. The reason lies in the fact that while digitalization is a trend aimed mainly at technological advancement, sustainability requires a long term commitment to reshape the whole approach to business of a manufacturing firm. However, there is a growing indication in literature that digitalization can be a powerful tool in the necessary road towards sustainable manufacturing. This work analyses the related scientific contribution through the lens of the concept of Business Model (BM) and Business Model Innovation (BMI) as understood by leading economic literature. The result is a characterisation, and when possible a description of the ways digitalization can support manufacturing firms in the adoption of sustainable business models.

  • 7. Mertens, R.
    et al.
    Dadbakhsh, S.
    Humbeeck, J. Van
    Kruth, J.-P.
    Application of base plate preheating during selective laser melting2018In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 74, p. 5-11Article in journal (Refereed)
    Abstract [en]

    Base plate preheating is one of the recent enhancing tools added to the process of Selective Laser Melting (SLM). This tool aims at a reduction of thermal stresses in SLM parts, achieved by decreasing the thermal gradients during SLM processing. In the current study, base plate preheating up to a temperature of 400°C is applied during SLM of 4 different materials, including aluminum 7075 alloy, nickel alloy Hastelloy X, H13 tool steel and CoCr. General trends, as well as material specific effects are discussed regarding part density, crack formation, internal stresses, microstructure and mechanical properties. These show how base plate preheating can induce different influences according to each particular material category.

  • 8.
    O'Reilly, Ciarán J.
    KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering. KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design.
    Creative engineers: Is abductive reasoning encouraged enough in degree project work?2016In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 50, p. 547-552Article in journal (Refereed)
    Abstract [en]

    Creativity is considered to be an important ability for an engineer to have, and it is therefore important that the development of this ability is structured into the education of engineering students, along with the ability to apply, analyse and evaluate based on existent knowledge. In this paper, the importance of abduction in creative engineering processes is briefly reviewed. It has been shown that abductive reasoning plays a key role in design as it is the only logical operation that introduces new ideas. Its encouragement within the KTH Royal Institute of Technology's degree projects at the Department of Aeronautical and Vehicle Engineering is analysed by examining the stated intended learning outcomes, and through interviewing students. It is found that abductive reasoning is not explicitly encouraged within the intended learning outcomes of these degree project courses, despite its importance in creative thinking. Although, it is very likely that at least some abduction takes place in the project work, its absence from the intended learning outcomes means that students may not have a felt need to demonstrate their abductive reasoning, and supervisors may encourage only non-creative deductive or inductive reasoning. A more explicit inclusion of abductive reasoning in the intended learning outcomes would help both students and supervisors to include creative thinking in the degree project courses. 

  • 9.
    Pervaiz, Salman
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. American University of Sharjah, United Arab Emirates .
    Deiab, Ibrahim
    Wahba, Essam Moustafa
    Rashid, Amir
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology.
    Nicolescu, Mihai
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    A coupled FE and CFD approach to predict the cutting tool temperature profile in machining2014In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 17, p. 750-754Article in journal (Refereed)
    Abstract [en]

    The paper presents an innovative methodology of coupling the conventional finite element machining simulations with computational fluid dynamic (CFD) model to analyse the temperature distribution at the cutting tool. The conventional finite element machining simulations were conducted using DEFORM 2D to predict the heat generation and tool tip temperature during the cutting action. Machining simulations were conducted using Ti6Al4V and uncoated carbide as a workpiece and tool material respectively. Modified version of Johnson-Cook constitutive model was incorporated in the conventional finite element based machining simulations to predict the behavior of flow stresses for Ti6Al4V titanium alloy. Computational fluid dynamics (CFD) simulations were performed using ANSYS (R) CFX. CFD model has incorporated air as a cooling media to simulate the dry cutting and temperature distribution at the tool surface was obtained. The coupled numerical modeling methodology showed encouraging potential of predicting precise temperature distribution on the cutting tool. The approach can be further evaluated to predict temperature distribution under flood cooling and minimum quantity lubrication (MQL).

  • 10. Peukert, Bernd
    et al.
    Benecke, Stephan
    Clavell, Janire
    Neugebauer, Sabrina
    Nissen, Nils F.
    Uhlmann, Eckart
    Lang, Klaus-Dieter
    Finkbeiner, Matthias
    Addressing sustainability and flexibility in manufacturing via smart modular machine tool frames to support sustainable value creation2015In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 29, p. 514-519Article in journal (Refereed)
  • 11. Peukert, Bernd
    et al.
    Saoji, Mihir
    Uhlmann, Eckart
    An evaluation of building sets designed for modular machine tool structures to support sustainable manufacturing2014In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 26, p. 612-617Article in journal (Refereed)
  • 12. Ribeiro da Silva, E. H. D.
    et al.
    Shinohara, A. C.
    Pinheiro de Lima, E.
    Angelis, Jannis
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Management. Research Institute of Industrial Economics, Grevgatan 34, Stockholm, 10215, Sweden.
    Machado, C. G.
    Reviewing digital manufacturing concept in the Industry 4.0 paradigm2019In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 81, p. 240-245Article in journal (Refereed)
    Abstract [en]

    Digitalization of manufacturing is once again on the industry application research agenda and Digital Manufacturing plays a fundamental role in this process. However, there is a lack of commonality in the literature about the purpose of Digital Manufacturing. The purpose of this paper is to analyze the concept and application domain of Digital Manufacturing considering the increasingly established Industry 4.0 paradigm. Based on a content analysis concepts are framed, and new technological characteristics identified. The paper contributes to a better understanding of the future challenges that companies face by positioning Digital Manufacturing conceptually and delimiting its application domain.

  • 13.
    Szipka, Karoly
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Dax, Paul
    Archenti, Andreas
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Degen, Florian
    Mikael, Hedlind
    Scania CV AB.
    Integration of machining system capability information into a CAx software environment for complex tool trajectory prediction2018In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271Article in journal (Refereed)
    Abstract [en]

    Integration of machine tool specific capability information related to a manufactured part’s accuracy can significantly support the decision-making in production, help to understand root-cases of quality loss and optimize cutting processes. In this paper, a systematic methodology is proposed to bridge the gap between machine tool specific capability and finished part’s accuracy. For this purpose, a measurement-based model is implemented in a CAx software environment for the prediction of geometrical deviations in complex milling processes. Results are presented in a case study to demonstrate errors on the workpiece level due to the quasi-static capabilities of a given machine tool.

  • 14. Uhlmann, Eckart
    et al.
    Saoji, Mihir
    Peukert, Bernd
    Principles for the Interconnection of Modular Machine Tools2016In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 40, p. 413-418Article in journal (Refereed)
  • 15. Uhlmann, Eckart
    et al.
    Saoji, Mihir
    Peukert, Bernd
    Utilization of thermal energy to compensate quasi-static deformations in modular machine tool frames2016In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 40, p. 1-6Article in journal (Refereed)
  • 16.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Kjellberg, Torsten J. A.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Xi Vincent
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Ji, Wei
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Editorial: Smart Manufacturing at CIRP CMS 20182018In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 1-2Article in journal (Refereed)
1 - 16 of 16
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