Additive Manufacturing and 3D printing Technology

Design for Additive Fabrication (PhD research 2016 - 2019)

Related publications

• A. W. Gebisa, H. G. Lemu (2019). Influence of 3D Printing FDM Process Parameters on Tensile Property of ULTEM 9085. Procedia Manufacturing. vol. 30, 331-338. DOI: 10.1016/j.promfg.2019.02.047.

• A. D. Akessa, A. W. Gebisa, H. G. Lemu (2019). Numerical simulation of FDM manufactured parts by adopting approaches in composite material simulation. IOP Conference Series: Materials Science and Engineering. vol. 700(1). DOI: 10.1088/1757-899X/700/1/012016.

• K.I. Byberg, A.W. Gebisa and H.G. Lemu (2018), Mechanical properties of ULTEM 9085 material processed by fused deposition modeling, Polymer Testing: https://doi.org/10.1016/j.polymertesting.2018.10.040

• A. W. Gebisa and H.G. Lemu (2018), Influence of 3D Printing FDM Process Parameters on Tensile Property of ULTEM 9085, In: Procedia Manufacturing, Proceedings of the 14th Global Congress on Manufacturing and Management (GCMM2018), Brisbane, Australia, 5-7th Dec. 2018.

• A. W. Gebisa and H.G. Lemu (2018), Effect of Process Parameters on Compressive Properties of ULTEM 9085 Produced by FDM Process, In: ASME, Int. Mechanical Engineering Congress and Exposition (IMECE2017), Nov. 9 – 15, Pittsburg, USA.  

• A. W. Gebisa and H.G. Lemu (2018): Investigating Effects of Fused-Deposition Modeling (FDM) Processing Parameters on Flexural Properties of ULTEM 9085 using Designed Experiment, Materials 2018, 11(4), 500; doi:10.3390/ma11040500.

• A. W. Gebisa and H.G. Lemu (2018) Additive Manufacturing for the manufacturE of Gas Turbine engine Components: Literature Review and Future Perspectives,  Proc. of ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition   , GT2018, June 11-15, 2018, Oslo, Norway .

• H.G. Lemu (2018), On Opportunities and Limitations of Additive Manufacturing Technology for Industry 4.0 Era, In: 8th International Workshop of Advanced Manufacturing and Automation (IWAMA2018). 25 – 26 Sept. 2018. Changzhou University, Jiangsu, China.

• A. W. Gebisa and H.G. Lemu (2017), A Case Study on Topology Optimized Design for Additive Manufacturing. In: Proc. of COTech Conf., IOP Conference Series: Materials Science and Engineering, vol.276.

• A.D. Akessa, H.G. Lemu and A.W. Gebisa (2017), Mechanical Property Characterization of Additive Manufactured ABS Material Using Design of Experiment Approach, ASME, Int. Mechanical Engineering Congress and Exposition (IMECE2017), Nov. 3 – 9, Tampa, USA.

• A.W. Gebisa, H.G. Lemu (2017), Design for Manufacturing to Design for Additive Manufacturing: Analysis of the Implications for Design Optimality and Product Sustainability, In: Proc. of the 7th Manufacturing Engineering Society International Conference, Vigo (Spain), June 2017,  Procedia Manufacturing, vol. 13, p. 724-731.

   

  Topology Optimization in AM for Healthcare Application (PhD research 2021)

  Related publications

• YW Adugna, AD Akessa, HG Lemu (2021) Overview study on challenges of additive manufacturing for a healthcare application, H. G. Lemu et al. (Eds.) IOP Conference Series: Materials Science and Engineering vol. 1201 (1), 012041.

   

  Other Related Publications

• AD Tura, HB Mamo, YD Jelila, HG Lemu (2021), Experimental investigation and ANN prediction for part quality improvement of fused deposition modeling parts, H. G. Lemu et al. (Eds.) IOP Conference Series: Materials Science and Engineering vol. 1201 (1), 012031

• H.G. Lemu and O. Mikkelsen (2021), Experience in Use of 3D Printing in Engineering Education at University of Stavanger, Nordic Journal of STEM Education, vol. 5 (1), MNT Conference 2021.

• A. Garcia-Granada, J. Catafal-Pedragosa, H. G. Lemu (2019). Topology optimization through stiffness/weight ratio analysis for a three-point bending test of additive manufactured parts. IOP Conference Series: Materials Science and Engineering. vol. 700(1), doi.org/10.1088/1757-899X/700/1/012012 

• K. Kopperstad and H.G.Lemu (2018), Design and Performance Study of Additive Manufactured Thrusters for Remotely Operated Underwater Vehicle, The International Society of Offshore and Polar Engineers Conference, ISOPE 2018, 10 - 15 June, 2018, Sapporo, Japan.

• H. G. Lemu (2016), Beyond Rapid Prototyping: Study of prospects and challenges of 3D printing in functional part fabrication, Int. Workshop of Advanced Manufacturing and Automation IWAMA 2016), Manchester, UK.  

• H. G. Lemu, and S. Kurtivic (2012), 3D Printing for Rapid Manufacturing: study of dimensional and geometrical accuracy (Rev.), In: Advances in Production Management Systems. Value Networks: Innovation, Technologies, and Management, Eds. J. Fric and B. T. Laugen, Springer, 470-479.

Related publications

• E.T. Woldemariam, H.G. Lemu, G.G. Wang (2017), Geometric Parameters’ Effect Characterization and Design Optimization of a Micro Scale Cross-flow Turbine for an Improved Performance, The International Society of Offshore and Polar Engineers Conference, ISOPE 2017, 26 - 30 June, San Francisco, USA

• E.T. Woldemariam, H.G. Lemu (2016), Proposal for Design-centered Cloud Computing in Engineering Design and Manufacturing, Int. Workshop of Advanced Manufacturing and Automation IWAMA 2015), Shangahi, 22- 23 October, 2015.

• E.T. Woldemariam, H.G. Lemu (2016), Nonlinear Isogeometric analysis in simulation-based product design optimization: State-of-the-art analysis, Int. Workshop of Advanced Manufacturing and Automation IWAMA 2015), Shangahi, 22- 23 October, 2015.

Related publications

• Development of a metamodel-assisted sampling approach to aerodynamic shape optimization problems. J. of Mechanical Science and Technology (2015).

• Surrogate-assisted Self-accelerated Particle Swarm Optimization. In: Proc. of 10th AIAA Multidisciplinary Design Optimization Conference, Maryland, USA. January 13 – 17 2014: doi: 10.2514/6.2014-1486  

• A Comparative Analysis of Nature-Inspired Optimization Approaches to 2D Geometric Modelling for Turbomachinery Applications, Mathematical Problems in Engineering, vol. 2013, http://dx.doi.org/10.1155/2013/716237.

• Decomposition of High-dimensional Shape Optimization Problems through Quantifying Design Variable Correlation, In: Proc. of ASME 2013 Int. Mechanical Engineering Congress and Exposition (IMECE2013), Nov. 14 – 21, San Diego, CA, USA.

• A Novel Combination of Adaptive Tools for Turbomachinery Airfoil Shape Optimization Using a Real-Coded Genetic Algorithm ,In: Proc. of ASME Turbo Expo 2013, Volume 6B, June 3 - 7, San Antonio, Texas, USA.

• Shape optimization of typical heavy-duty gas turbine compressor airfoil using metamodel based algorithm, In: Proc. of 10th World Congress on Structural and Multidisciplinary Optimization, May 19 -24, 2013, Orlando, Florida, USA.

• Review of recent researches on gas turbine blade design/optimization techniques and approaches, in: Int. Journal of Earth Sciences and Engineering, Proc. of RACE2012.

• Geometric Modeling and Numerical Simulation of Airfoil Shapes Using Integrated MATLAB® and COMSOL Multiphysics, In: Proc. of COMSOL Conference 2012, Milan, Italy.

• Optimum NURBS curve fitting for geometry parameterization of gas turbine blades’ sections: Part I – Evolutionary optimization techniques, In: Proc. of ASME 2012 Int. Mechanical Engineering Congress, Nov. 9 – 15, Houston, Texas, USA.

• A comparative study of optimum Bezier and NURBS curve fitting for measured point cloud of airfoil shapes, In: Proc. of Int. Workshop of Advanced Manufacturing and Automation (IWAMA 2012), Tapir Academic Press, 421-8.

• Assessment of Gas Turbine Compressor Fouling Effects on Operation Cost and Performance of Thermal Power Plants, In: Proc. of COMADEM 2011, the 24th Int. Congress on Condition monitoring and Diagnostics management, Stavanger, Norway, May 30 – June 1.

• A Quantitative Prediction of Axial Compressor Performance Deterioration Using Fouling Full 3D Modeling, In: Proc. of ICAE 2011 - International Conference on Applied Energy, Perugia, Italy, May 16 – 18.

Related publications

• Multiple Regression and Neural Network based Characterization of Friction in Sheet Metal Forming, Proc. of GMEE 2014, In: Advanced Materials Research Journal, 1051, 204-210. doi:10.4028/www.scientific.net/AMR.1051.204

• Application of Genetic Algorithms to Optimize Neural Networks for Selected Tribological Tests, Journal of Mechanics Engineering and Automation, 2, 69-76.

• Study of anisotropy in metal forming using Finite Element Methods. In: Anisotropy Research: New Developments, ed. H.G. Lemu (2012), NOVA Science Publisher Inc., NY, 1-24.

• Application of Genetic Algorithms to Optimize Neural Networks for Selected Tribological Tests, Acta Mechanica Slovaka, 2, 2012, pp. 30-36.

• Influence of Interference Fit and Surface Roughness on Contact Resistance of Tubing Connections, Journal of Mechanics Engineering and Automation, 1 (4), 2011, pp. 285 - 292.

• Investigation of Anisotropy Problems in Sheet Metal Forming using Finite Element Method, International Journal of Material Forming, 4 (4):2011, pp. 357–369, DOI: 10.1007/s12289-010-0994-7.

• Finite Element Based Stress Prediction for Design of Composite Materials, In: Proc. of Int. Workshop of Advanced Manufacturing and Automation. Ed. K. Wang, O. Myklebust and D. Tu, Tapir Academic Press (2010), 149 – 156.