Journal: CIRP Journal of Manufacturing Science and Technology

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Abbreviation

CIRP J Manuf Sci Technol

Publisher

Elsevier

Journal Volumes

ISSN

1755-5817
1878-0016

Description

Search Results

Publications 1 - 10 of 25
  • Voss, Robert; Seeholzer, Lukas; Kuster, Friedrich; et al. (2017)
    CIRP Journal of Manufacturing Science and Technology
  • Mohammadi, Ali; Züst, Simon; Mayr, Josef; et al. (2017)
    CIRP Journal of Manufacturing Science and Technology
  • Zhang, Nanyuan; Klippel, Hagen; Afrasiabi, Mohamadreza; et al. (2023)
    CIRP Journal of Manufacturing Science and Technology
    This paper presents a hybrid Smoothed Particle Hydrodynamics (SPH) – Finite Element Method (FEM) solver for metal cutting simulations on Graphics Processing Units (GPU). For the first time in chip formation simulation, the heat transfer between an SPH model of the workpiece, and a transient FEM temperature model for the cutting tool, is established. For validation, the performance of the modeled thermal contact between two numerical domains is compared with a commercial FEM software. The sensitivity of the implemented SPH-FEM contact parameters is investigated for the first time and further insights into the thermal modeling of cutting simulations are generated. Overall, the newly developed hybrid model saves the computational time on the cutting tool side in the pure SPH method and enables more efficient high-fidelity cutting simulations. By clearly defining the thermal contact at the tool-chip interface, the simulated tool surface temperature agrees well with the experimental measurements in the literature.
  • Roh, Philip; Kunz, Andreas; Wegener, Konrad (2019)
    CIRP Journal of Manufacturing Science and Technology
  • Wu, Pei-Ying; Hirtler, Markus; Bambach, Markus; et al. (2020)
    CIRP Journal of Manufacturing Science and Technology
    Selective laser melting (SLM) is an additive manufacturing process, which allows for producing parts of very complex geometry. While SLM may produce the desired net-shape geometry, the surface conditions of as-built SLM parts are often insufficient. Also, the as-built state may yield undesired tensile stresses at the surface. Post processes such as magnetic field-assisted finishing (MAF) processes can yield the desired surface roughness and improve the residual stress state. However, in a part made by SLM, these processes will act on surfaces with various different orientations to the built direction, and, in particular, to the laser scanning direction. This paper analyzes the influence of laser scanning direction with respect to the surface to be finished by MAF using 316L steel disks produced with different orientations and scan strategies. The build plane of an as-printed disk has greater surface roughness and hardness but lower tensile residual stresses than the plane perpendicular to the build plane. These characteristics create difficulties in material removal and smoothing but do not impede MAF’s ability to increase hardness and impart compressive residual stresses to the surface scanned by the laser. The results indicate that material removal rate and hence optimal finishing time depend on the orientation of the surface with respect to the scanning direction, which should be accounted for in process planning.
  • Hirtler, Markus; Ünsal, Ismail; Buhl, Johannes; et al. (2022)
    CIRP Journal of Manufacturing Science and Technology
    In this study, 22MnB5 sheet metals are reinforced using Directed Energy Deposition (DED) in order to investigate the quench-hardening behavior of additively manufactured 22MnB5. Therefore, the hardness and element loss of the DED-material are examined. When compared to conventional materials, the DED-material requires faster cooling rates to achieve full martensite transformation. Titanium inhibits the formation of boron nitrides in conventional 22MnB5 sheet material (Ti). However, the Ti/N-ratio in DED-material is very low, owing to a high mill scale of Ti during the DED-process. Possible solutions and optimizations are discussed for this purpose.
  • Politze, Daniel; Dierssen, Stefan; Wegener, Konrad (2012)
    CIRP Journal of Manufacturing Science and Technology
  • Barth, Konrad; Heingärtner, Jörg; Bambach, Markus (2024)
    CIRP Journal of Manufacturing Science and Technology
    An enhanced Transformation Induced Plasticity (TRIP) material model based on the model from Hänsel was proposed in this paper to improve the stress-strain representation for high martensite contents for the metastable austenitic stainless steel 1.4301. Isothermal tensile tests were used as the data basis to rebuild the TRIP effect. The martensite content was measured in-situ during the experiments using a Feritscope. The transition from the Feritscope output to actual martensite content was described in detail, leading to higher martensite content results. Focus was placed on correcting the Villari effect, which indicated a dependence on the current yield strength. The proposed phenomenological model to correct the effect improved the correction, especially at high stresses. With the entire correction applied, over 80 % martensite was measured in an isothermal tensile test performed at 0 °C with no sign of saturation. The fitted enhanced material model achieved a very good agreement with the experimental martensite evolution and the stress-strain curve. The new definition of the prefactor and the exponent in the martensite formation rate model reduced the dependence of the optimization on the initial values. The introduced nonlinear mixture rule between the austenitic and the martensitic hardening was confirmed and improved the hardening representation by 35 %.
  • Ostadi Ali Akbari, Vahid; Eichenberger, Andrea; Wegener, Konrad (2024)
    CIRP Journal of Manufacturing Science and Technology
    Chatter stability of milling operations is a complicated phenomenon causing serious productivity issues in the manufacturing industry, yet a shop-floor implementable solution is lacking. This paper follows a physics-supported Bayesian machine learning approach and incorporates the potential effect of process damping on the stability of the process. Using a likelihood function based on the Nyquist stability criterion, the learning system monitors the actual stability state of the process during arbitrary cuts and refines the underlying model parameter uncertainties in the structural dynamics, cutting force coefficients, as well as the process damping. The framework can operate with limited training data and display the remaining uncertainties in stability predictions to the machine operator. Experimental case studies show the effectiveness of the proposed method and highlight the importance of considering process damping for certain endmills.
  • Byrne, Gerald; Damm, O. F.R.A.; Monostori, László; et al. (2021)
    CIRP Journal of Manufacturing Science and Technology
    This paper reports on a highly ambitious international study undertaken in the period 2018–2020 on the topic of convergence between biology and advanced manufacturing systems. The international team (authors of this paper) worked together to analyse the status of this convergence through the assessment of concrete examples, referred to here as demonstrators, within advanced manufacturing systems. Four independent demonstrators from different sections of the manufacturing value chain and involving bio-inspiration, bio-integration and/or bio-intelligence were selected to test the following hypothesis: “That Future Manufacturing Systems will incorporate Components, Features, Characteristics and Capabilities that enable the convergence towards Living Systems”. Each of these four demonstrators have succeeded in supporting this hypothesis and in providing clear evidence to confirm that significant performance benefits may be derived through the “biologicalisation” of advanced manufacturing systems. This conclusion is of great significance for the next phases of development of manufacturing science and engineering globally. The evidence reported in this paper provides a robust basis for recommending that a deeper analysis of the implications of biologicalised manufacturing systems be undertaken. As a result of this early stage work, it is concluded that there is a high likelihood that this new convergence will lead to a major paradigm shift in advanced manufacturing. Outstanding opportunities exist for high levels of innovation in the next stages of development of advanced manufacturing processes and systems from the biological perspective. The relationship between the human and the physical manufacturing system will also change and the world of advanced manufacturing will be confronted with many new challenges including important ethical questions.
Publications 1 - 10 of 25