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Optimum Laser Polishing Decision-Making for On-Demand Additive Manufacturing of Spare Parts: An Exploratory Study

Year 2020, , 516 - 525, 26.08.2020
https://doi.org/10.19113/sdufenbed.677943

Abstract

Additive manufacturing is increasingly being used for satisfying spare parts needs of capital products using a nearby 3D printer. Such a technology allows inventory managers to start manufacturing after the demand realization which eliminates significant portion of spare parts inventory being held due to random nature of component breakdowns. Quality difference between printed and original parts, which is one of the biggest problems of using 3D printers, can be decreased by the use of laser polishing which alleviates surface roughness and increases reliability of parts in exchange of an additional cost term. Using different parameters, reliability of parts can be altered depending on needs of capital products and systems’ status. In this study, the problem where surface roughness and reliability of printed parts are jointly optimized with inventory levels of original spare parts is considered. In the problem setting, a machine part consisting of a constant number of identical products which are subject to random breakdowns over a finite planning horizon is considered. Using mathematical analysis and exhaustive numerical experiments, the relationship between optimum control policy and cost parameters was shown, which might be critical for cost-effective management of the system.

References

  • [1] Bellini, A., Güçeri, S. 2003. Material Characterization of Parts Fabricated Using Fused Deposition Modeling. Rapid Prototyping Journal, 9(4), 252-264.
  • [2] Pandey, P.M., Reddy, N.V., Dhande, S.G. 2003. Improvement of Surface Finish by Staircase Machining in Fused Deposition Modeling. Journal of Materials Processing Technology, 132(1-3), 323-331.
  • [3] Lee, K., Jee, H. 2015. Slicing Algorithms for Multi-Axis 3-D Metal Printing of Overhangs. Journal of Mechanical Science and Technology, 29(12), 5139-5144.
  • [4] Ding, D., Pan, Z., Cuiuri, D., Li, H. 2015, A Multi-Bead Overlapping Model for Robotic Wire and Arc Additive Manufacturing (WAAM). Robotics and Computer-Integrated Manufacturing, 31, 101-110.
  • [5] Ma, C.P., Guan, Y.C., Zhou, W. 2017. Laser Polishing of Additive Manufactured Ti Alloys. Optics and Lasers in Engineering, 93, 171-177.
  • [6] Maiya, P.S., Busch, D.E. 1975. Effect of Surface Roughness on Low-Cycle Fatigue Behavior of Type 304 Stainless Steel. Metallurgical Transactions A, 6(9), 1761.
  • [7] Chang, C.S., Chen, T.H., Li, T.C., Lin, S.L., Liu, S.H., Lin, J.F. 2016. Influence of Laser Beam Fluence on Surface Quality, Microstructure, Mechanical Properties, and Tribological Results for Laser Polishing of SKD61 Tool Steel. Journal of Materials Processing Technology, 229, 22-35.
  • [8] Perez Dewey, M., Ulutan, D. 2017. Development of Laser Polishing As an Auxiliary Post-Process to Improve Surface Quality in Fused Deposition Modeling Parts. ASME 2017 Proceedings. https://doi.org/10.1115/MSEC2017-3024.
  • [9] Westerweel, B., Basten, R., den Boer, J., van Houtum, G.-J. 2018. Printing Spare Parts at Remote Locations: Fulfilling the Promise of Additive Manufacturing. Working paper. Eindhoven: Eindhoven University of Technology.
  • [10] Bertsekas, D.P. 1995. Dynamic programming and optimal control, Vol 1. Athena scientific. Belmont, MA.
  • [11] Hekimoğlu, M., Van der Laan, E., Dekker R., 2018, Markov-Modulated Analysis of a Spare Parts System with Random Lead Times and Disruption Risks, European Journal of Operational Research, 269 (3), 909-922.
  • [12] Porteus, E.L. 2002. Foundations of stochastic inventory theory. Stanford University Press.
  • [13] Zipkin, P. 2008. On the structure of lost-sales inventory models. Operations Research, 56(4), 937-944.
  • [14] Sheopuri, A., Janakiraman, G., Seshadri, S. 2010. New Policies for the Stochastic Inventory Control Problem with Two Supply Sources. Operations Research, 58(3), 734-745.

Yedek Parçaların Talebe Yönelik Eklemeli Üretiminde Lazer Cilalamanın Optimum Karar Verme Politikası Üzerinde Etkisi

Year 2020, , 516 - 525, 26.08.2020
https://doi.org/10.19113/sdufenbed.677943

Abstract

Eklemeli imalatın yakınlarda bulunan bir 3D yazıcı kullanılarak sermaye ürünlerinin yedek parça ihtiyaçlarını karşılamak için kullanılması giderek yaygınlaşmaktadır. Böyle bir teknoloji, talebe-binaen parça üretimini mümkün kılarak arızaların rassallığı nedeniyle tutulan yedek parça envanterinin önemli bir kısmını ortadan kaldırma imkânı sunmaktadır. 3D yazıcı kullanımının en büyük sorunlarından biri olan basılı ve orijinal parçalar arasındaki kalite farkı, yüzey pürüzlülüğünü hafifleten ve ek maliyet terimi karşılığında parçaların güvenilirliğini artıran lazer parlatma kullanılarak azaltılabilir. Farklı parametreler kullanılarak, parçaların güvenilirliği, sermaye ürünlerinin ihtiyaçlarına ve sistemlerin durumuna göre değiştirilebilir. Bu çalışmada, basılı parçaların yüzey pürüzlülüğü ve güvenilirliğinin orijinal yedek parçaların envanter seviyeleri ile birlikte optimize edilmesi sorunu ele alınmıştır. Çalışmada, sınırlı bir planlama ufku üzerinde rastgele arızalara maruz kalan sabit sayıda özdeş makinadan oluşan bir üretim tesisi dikkate alınmıştır. Matematiksel analiz ve ayrıntılı sayısal deneyler kullanılarak, sistemin uygun maliyetli yönetimi için kritik olabilecek optimum kontrol politikası ve maliyet parametreleri arasındaki ilişki gösterilmiştir.

References

  • [1] Bellini, A., Güçeri, S. 2003. Material Characterization of Parts Fabricated Using Fused Deposition Modeling. Rapid Prototyping Journal, 9(4), 252-264.
  • [2] Pandey, P.M., Reddy, N.V., Dhande, S.G. 2003. Improvement of Surface Finish by Staircase Machining in Fused Deposition Modeling. Journal of Materials Processing Technology, 132(1-3), 323-331.
  • [3] Lee, K., Jee, H. 2015. Slicing Algorithms for Multi-Axis 3-D Metal Printing of Overhangs. Journal of Mechanical Science and Technology, 29(12), 5139-5144.
  • [4] Ding, D., Pan, Z., Cuiuri, D., Li, H. 2015, A Multi-Bead Overlapping Model for Robotic Wire and Arc Additive Manufacturing (WAAM). Robotics and Computer-Integrated Manufacturing, 31, 101-110.
  • [5] Ma, C.P., Guan, Y.C., Zhou, W. 2017. Laser Polishing of Additive Manufactured Ti Alloys. Optics and Lasers in Engineering, 93, 171-177.
  • [6] Maiya, P.S., Busch, D.E. 1975. Effect of Surface Roughness on Low-Cycle Fatigue Behavior of Type 304 Stainless Steel. Metallurgical Transactions A, 6(9), 1761.
  • [7] Chang, C.S., Chen, T.H., Li, T.C., Lin, S.L., Liu, S.H., Lin, J.F. 2016. Influence of Laser Beam Fluence on Surface Quality, Microstructure, Mechanical Properties, and Tribological Results for Laser Polishing of SKD61 Tool Steel. Journal of Materials Processing Technology, 229, 22-35.
  • [8] Perez Dewey, M., Ulutan, D. 2017. Development of Laser Polishing As an Auxiliary Post-Process to Improve Surface Quality in Fused Deposition Modeling Parts. ASME 2017 Proceedings. https://doi.org/10.1115/MSEC2017-3024.
  • [9] Westerweel, B., Basten, R., den Boer, J., van Houtum, G.-J. 2018. Printing Spare Parts at Remote Locations: Fulfilling the Promise of Additive Manufacturing. Working paper. Eindhoven: Eindhoven University of Technology.
  • [10] Bertsekas, D.P. 1995. Dynamic programming and optimal control, Vol 1. Athena scientific. Belmont, MA.
  • [11] Hekimoğlu, M., Van der Laan, E., Dekker R., 2018, Markov-Modulated Analysis of a Spare Parts System with Random Lead Times and Disruption Risks, European Journal of Operational Research, 269 (3), 909-922.
  • [12] Porteus, E.L. 2002. Foundations of stochastic inventory theory. Stanford University Press.
  • [13] Zipkin, P. 2008. On the structure of lost-sales inventory models. Operations Research, 56(4), 937-944.
  • [14] Sheopuri, A., Janakiraman, G., Seshadri, S. 2010. New Policies for the Stochastic Inventory Control Problem with Two Supply Sources. Operations Research, 58(3), 734-745.
There are 14 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Mustafa Hekimoğlu 0000-0001-9446-0582

Durul Ulutan 0000-0002-1784-4686

Publication Date August 26, 2020
Published in Issue Year 2020

Cite

APA Hekimoğlu, M., & Ulutan, D. (2020). Optimum Laser Polishing Decision-Making for On-Demand Additive Manufacturing of Spare Parts: An Exploratory Study. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 24(2), 516-525. https://doi.org/10.19113/sdufenbed.677943
AMA Hekimoğlu M, Ulutan D. Optimum Laser Polishing Decision-Making for On-Demand Additive Manufacturing of Spare Parts: An Exploratory Study. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. August 2020;24(2):516-525. doi:10.19113/sdufenbed.677943
Chicago Hekimoğlu, Mustafa, and Durul Ulutan. “Optimum Laser Polishing Decision-Making for On-Demand Additive Manufacturing of Spare Parts: An Exploratory Study”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 24, no. 2 (August 2020): 516-25. https://doi.org/10.19113/sdufenbed.677943.
EndNote Hekimoğlu M, Ulutan D (August 1, 2020) Optimum Laser Polishing Decision-Making for On-Demand Additive Manufacturing of Spare Parts: An Exploratory Study. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 24 2 516–525.
IEEE M. Hekimoğlu and D. Ulutan, “Optimum Laser Polishing Decision-Making for On-Demand Additive Manufacturing of Spare Parts: An Exploratory Study”, Süleyman Demirel Üniv. Fen Bilim. Enst. Derg., vol. 24, no. 2, pp. 516–525, 2020, doi: 10.19113/sdufenbed.677943.
ISNAD Hekimoğlu, Mustafa - Ulutan, Durul. “Optimum Laser Polishing Decision-Making for On-Demand Additive Manufacturing of Spare Parts: An Exploratory Study”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 24/2 (August 2020), 516-525. https://doi.org/10.19113/sdufenbed.677943.
JAMA Hekimoğlu M, Ulutan D. Optimum Laser Polishing Decision-Making for On-Demand Additive Manufacturing of Spare Parts: An Exploratory Study. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 2020;24:516–525.
MLA Hekimoğlu, Mustafa and Durul Ulutan. “Optimum Laser Polishing Decision-Making for On-Demand Additive Manufacturing of Spare Parts: An Exploratory Study”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 24, no. 2, 2020, pp. 516-25, doi:10.19113/sdufenbed.677943.
Vancouver Hekimoğlu M, Ulutan D. Optimum Laser Polishing Decision-Making for On-Demand Additive Manufacturing of Spare Parts: An Exploratory Study. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 2020;24(2):516-25.

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