Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 3
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

Management and Production Engineering Review (MPER) is a peer-refereed, international, multidisciplinary journal covering a broad spectrum of topics in production engineering and management. Production engineering is a currently developing stream of science encompassing planning, design, implementation and management of production and logistic systems. Orientation towards human resources factor differentiates production engineering from other technical disciplines. The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on production management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simulation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization and logistics. Management and Production Engineering Review is published under the auspices of the Polish Academy of Sciences Committee on Production Engineering and Polish Association for Production Management. The main purpose of Management and Production Engineering Review is to publish the results of cutting-edge research advancing the concepts, theories and implementation of novel solutions in modern manufacturing. Papers presenting original research results related to production engineering and management education are also welcomed. We welcome original papers written in English. The Journal also publishes technical briefs, discussions of previously published papers, book reviews, and editorials. Letters to the Editor-in-Chief are highly encouraged.
Go to article

Authors and Affiliations

Filip Górski
Download PDF Download RIS Download Bibtex

Abstract

This study investigated the relationship between the parameters of the DLP manufacturing process and the structure of photopolymerizable acrylic resins. Four different process parameters were established to produce different thin-walled acrylic sample series: exposure time, layer thickness, area offset, and number of transition layers. The structure and the surface of the obtained samples were examined with the use of the FTIR–ATR method and an optical microscope, respectively. It was proved that extension of the exposure time increases the density of crosslinking and sample thickness. A decreasing crosslinking density due to rising layer thickness is observed. The area offset affects only the dimensions of the sample, predictably reducing the dimensions of the sample as the compensation increases. The absence of transition layers proved unfavorable in many respects, both structurally and geometrically.
Go to article

Authors and Affiliations

Dorota Tomczak
1
ORCID: ORCID
Radosław Wichniarek
2
ORCID: ORCID
Wiesław Kuczko
2
ORCID: ORCID
Filip Górski
2
ORCID: ORCID

  1. Institute of Chemical Technology and Engineering, Poznan University of Technology, Berdychowo 4, 60-965 Poznan, Poland
  2. Faculty of Mechanical Engineering, Poznan University of Technology, Piotrowo 3, 61-138 Poznan, Poland
Download PDF Download RIS Download Bibtex

Abstract

The paper presents the results of research on the influence of the parameters of Fused Deposition Modelling (FDM) on the mechanical properties and geometric accuracy of angle-shaped parts. The samples were manufactured from acrylonitrile butadiene styrene (ABS) on a universal machine. A complete factorial experiment was conducted. The results indicated that the critical technological parameter was the angular orientation of the sample in the working chamber of the machine. The results were compared with the results of research performed on simple rectangular samples. A significant similarity was found in the relationships between the FDM parameters and properties for both sample types.
Go to article

Bibliography

  1.  T. Kudasik and S. Miechowicz, “Methods of reconstructing complex multi-structural anatomical objects with RP techniques”, Bull. Pol. Acad. Sci. Tech. Sci. 64(2), 315‒323 (2016), doi: 10.1515/bpasts-2016-0036.
  2.  O. Ivanova, C. Williams, and T. Campbell, “Additive manufacturing (AM) and nanotechnology, promises and challenges”, Rapid Prototyp. J. 19, 353‒364 (2013), doi: 10.1108/RPJ-12-2011-0127.
  3.  J. Safka, M. Ackermann, and D. Martis, “Chemical resistance of materials used in additive manufacturing”, MM Sci. J. 2016, 1573‒1578 (2016), doi: 10.17973/MMSJ.2016_12_2016185.
  4.  R.I. Campbell, D. Bourell, and I. Gibson, “Additive manufacturing, rapid Prototyp. comes of age”, Rapid Prototyp. J. 18, 255‒258 (2012), doi: 10.1108/13552541211231563.
  5.  T. Kudasik, M. Libura, O. Markowska, and S. Miechowicz, “Methods for designing and fabrication large-size medical models for orthopaedics”, Bull. Pol. Acad. Sci. Tech. Sci. 63(3), 623‒627 (2015), doi: 10.1515/bpasts-2015-0073.
  6.  G.N. Levy, R. Schindel, and J.P. Kruth, “Rapid manufacturing and rapid tooling with layer manufacturing (LM) technologies, state of the art and future perspectives”, CIRP Ann. 52, 589‒609 (2003), doi: 10.1016/S0007-8506(07)60206-6.
  7.  D. Croccolo, M. De Agostinis, and G. Olmi, “Experimental characterization and analytical modelling of the mechanical behaviour of fused deposition processed parts made of ABS-M30”, Comput. Mater. Sci. 79, 506–518 (2013), doi: 10.1016/j.commatsci.2013.06.041.
  8.  S.C. Ligon, R. Liska, J. Stampfl, M. Gurr, and R. Mülhaupt, “Polymers for 3D Printing and Customized Additive Manufacturing”, Chem Rev. 117, 10212‒10290 (2017), doi: 10.1021/acs.chemrev.7b00074.
  9.  I. Rojek, D. Mikołajewski, P. Kotlarz, M. Macko, and J. Kopowski, “Intelligent System Supporting Technological Process Planning for Machining and 3D Printing”, Bull. Pol. Acad. Sci. Tech. Sci. 69(2), e136722 (2021), doi: 10.24425/bpasts.2021.136722.
  10.  D. Popescu, A. Zapciu, C. Amza, F. Baciu, and R. Marinescu, “FDM process parameters influence over the mechanical properties of polymer specimens, A review”, Polym. Test. 69, 157‒166 (2018), doi: 10.1016/j.polymertesting.2018.05.020.
  11.  M. Montero, R. Shad, D. Odell, S.H. Ahn, and P.K. Wright, “Material Characterization of Fused Deposition Modeling (FDM) ABS by Designed Experiments”, Soc. Manuf. Eng. 10, 1‒21 (2001).
  12.  H.C. Song, N. Ray, D. Sokolov, and S. Lefebvre, “Anti-aliasing for fused filament deposition. Comput”, Aided Des. 89, 25‒34 (2017), doi: 10.1016/j.cad.2017.04.001.
  13.  S.H. Ahn, M. Montero, D. Odell, S. Roundy, and P.K. Wright, “Anisotropic material properties of fused deposition modeling ABS”, Rapid Prototyp. J. 8, 248‒257 (2002), doi: 10.1108/13552540210441166.
  14.  C. Casavola, A. Cazzato, V. Moramarco, and C. Pappalettere, “Orthotropic mechanical properties of fused deposition modelling parts described by classical laminate theory”, Mater. Des. 90, 453‒458 (2016), doi: 10.1016/j.matdes.2015.11.009.
  15.  O.A. Mohamed, S.H. Masood, J.L. Bhowmik, M. Nikzad, and J. Azadmanjiri, “Effect of Process Parameters on Dynamic Mechanical Performance of FDM PC/ABS Printed Parts Through Design of Experiment”, J. Mater. Eng. Perform. 25, 2922–2935 (2016), doi: 10.1007/ s11665-016-2157-6.
  16.  A.K. Sood, R.K. Ohdar, and S.S. Mahapatra, “Parametric appraisal of mechanical property of fused deposition modelling processed parts”, Mater. Des. 31, 287–295 (2010), doi: 10.1016/j.matdes.2009.06.016.
  17.  G.C. Onwubolu and F. Rayegani, “Characterization and Optimization of Mechanical Properties of ABS Parts Manufactured by the Fused Deposition Modelling Process”, Int. J. Manuf. Eng. 2014, 598531 (2014), doi: 10.1155/2014/598531.
  18.  M. Spoerk, F. Arbeiter, H. Cajner, J. Sapkota, and C. Holzer, “Parametric optimization of intra and interlayer strengths in parts produced by extrusion based additive manufacturing of poly(lactic acid)”, J. Appl. Polym. Sci. 134, 45401 (2017), doi: 10.1002/app.45401.
  19.  A. Peng, X. Xiao, and R. Yue, “Process parameter optimization for fused deposition modeling using response surface methodology combined with fuzzy inference system”, Int. J. Adv. Manuf. Technol. 73, 87‒100 (2014), doi: 10.1007/s00170-014-5796-5.
  20.  G. Papazetis, G.C. Vosniakos, “Mapping of deposition-stable and defect-free additive manufacturing via material extrusion from minimal experiments”, Int. J. Adv. Manuf. Technol. 100, 2207‒2219 (2019), doi: 10.1007/s00170-018-2820-1.
  21.  S. Mahmood, A.J. Qureshi, K.L. Goh, and D. Talamona, “Tensile strength of partially filled FFF printed parts, experimental results”, Rapid Prototyp. J. 23, 122‒128 (2017), doi: 10.1108/RPJ-08-2015-0115.
  22.  S. Abid et al., “Optimization of mechanical properties of printed acrylonitrile butadiene styrene using RSM design”, Int. J. Adv. Manuf. Technol. 100, 1363‒1372 (2019), doi: 10.1007/s00170-018-2710-6.
  23.  V.E. Kuznetsov, A.N. Solonin, O.D. Urzhumtsev, R. Schilling, and A.G Tavitov, “Strength of PLA Components Fabricated with Fused Deposition Technology Using a Desktop 3D Printer as a Function of Geometrical Parameters of the Process”, Polymers 10, 1‒16 (2018), doi: 10.3390/polym10030313.
  24.  L. Yang, S. Li, Y. Li, and Y. Mingshun, “Experimental Investigations for Optimizing the Extrusion Parameters on FDM PLA Printed Parts”, J. Mater. Eng. Perform. 28, 169‒182 (2019), doi: 10.1007/s11665-018-3784-x.
  25.  J.T. Belter and A.M. Dollar, “Strengthening of 3D Printed Fused Deposition Manufactured Parts Using the Fill Compositing Technique”, PloS One 10(4) (2015), doi: 10.1371/journal.pone.0122915.
  26.  J.A. Gopsill, J. Shindler, and B.J. Hicks, “Using finite element analysis to influence the infill design of fused deposition modelled parts”, Prog. Addit. Manuf. 3, 145‒163 (2018), doi: 10.1007/s40964-017-0034-y.
  27.  G.A.M. Capote, N.M. Rudolph, P.V. Osswald, and A.T. Osswald, “Failure surface development for ABS fused filament fabrication parts”, Addit. Manuf. 28, 169‒175 (2019), doi: 10.1016/j.addma.2019.05.005.
  28.  F. Gorski, R. Wichniarek, W. Kuczko, and A. Hamrol, “Selection of Fused Deposition Modeling Process Parameters using Finite Element Analysis and Genetic Algorithms”, J. Mult.-Valued Logic Soft Comput. 32, 293‒311 (2019).
Go to article

Authors and Affiliations

Wiesław Kuczko
1
ORCID: ORCID
Adam Hamrol
1
ORCID: ORCID
Radosław Wichniarek
1
ORCID: ORCID
Filip Górski
1
ORCID: ORCID
Michał Rogalewicz
1
ORCID: ORCID

  1. Poznan University of Technology, Faculty of Mechanical Engineering, Piotrowo 3, 61-138 Poznan, Poland

This page uses 'cookies'. Learn more