Geomechanics and Engineering

  • 제10권1호
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  • Pages.109-124
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  • 2016
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  • 2005-307X(pISSN)
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  • 2092-6219(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Dynamic compaction of cold die Aluminum powders

  • Babaei, Hashem (Department of Mechanical Engineering, Engineering Faculty, University of Guilan) ;
  • Mostofi, Tohid Mirzababaie (Department of Mechanical Engineering, Engineering Faculty, University of Guilan) ;
  • Alitavoli, Majid (Department of Mechanical Engineering, Engineering Faculty, University of Guilan) ;
  • Namazi, Nasir (Department of Mechanical Engineering, Engineering Faculty, University of Guilan) ;
  • Rahmanpoor, Ali (Department of Mechanical Engineering, Roudbar Branch, Islamic Azad University)
  • 투고 : 2015.08.09
  • 심사 : 2015.11.27
  • 발행 : 2016.01.25
⟨ 이전 논문 다음 논문 ⟩

초록

In this paper, process of dynamic powder compaction is investigated experimentally using impact of drop hammer and die tube. A series of test is performed using aluminum powder with different grain size. The energy of compaction of powder is determined by measuring height of hammer and the results presented in term of compact density and rupture stress. This paper also presents a mathematical modeling using experimental data and neural network. The purpose of this modeling is to display how the variations of the significant parameters changes with the compact density and rupture stress. The closed-form obtained model shows very good agreement with experimental results and it provides a way of studying and understanding the mechanics of dynamic powder compaction process. In the considered energy level (from 733 to 3580 J), the relative density is varied from 63.89% to 87.41%, 63.93% to 91.52%, 64.15% to 95.11% for powder A, B and C respectively. Also, the maximum rupture stress are obtained for different types of powder and the results shown that the rupture stress increases with increasing energy level and grain size.

키워드

참고문헌

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  2. Gas mixture detonation method, a novel processing technique for metal powder compaction: Experimental investigation and empirical modeling vol.315, 2017, https://doi.org/10.1016/j.powtec.2017.04.006
  3. Modeling and prediction of metallic powder behavior in explosive compaction process by using genetic programming method based on dimensionless numbers pp.2041-3009, 2018, https://doi.org/10.1177/0954408918761223
  4. High-velocity powder compaction: An experimental investigation, modelling, and optimization vol.78, pp.2, 2021, https://doi.org/10.12989/sem.2021.78.2.145