• Title/Summary/Keyword: Forging load reduction technique

Search Result 2, Processing Time 0.016 seconds

Forging process design of cup shaped large forging using finite element method (유한요소해석을 통한 컵형상 대형단조품의 성형공법 설계)

  • Kang, Jong Hun;Kim, Hyun Jun;Lee, Hyoung Woo
    • Journal of Advanced Marine Engineering and Technology
    • /
    • v.39 no.7
    • /
    • pp.729-734
    • /
    • 2015
  • This research developed a new deep-bore, cup-shape, large forging process by combining die forging and free forging methods. In the proposed process, a preform for cup-shape large forging is produced by die forging, and a product with a deep bore is finally manufactured using an open die forging method, which is generally produced using a backward extrusion process. Finite element analysis results showed a higher effective strain distribution with a smaller forging load using the proposed method compared to the backward extrusion method. The production of a prototype with good internal quality using a small press capacity verified the proposed method.

Lightweight Design of an Outer Tie Rod Using Meta-Model Based Optimization Technique (메타모델기반최적화를 이용한 아우터타이로드의 경량화 설계)

  • Kim, Young-Jun;Park, Soon-Hyeong;Lee, Kwon-Hee;Park, Young-Chul
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.16 no.11
    • /
    • pp.7754-7760
    • /
    • 2015
  • The outer tie rod is one of the part of steering system, the optimization process was executed to find the lightweight design. The inner tie rod was considered in the optimum design of an outer tie rod. it could be closer to the test condition than in the case of considering outer tie rod only. The aluminum forging material was considered as a weight reduction proposal. The target of optimization was the shape of the minimum weight to resist at the load of buckling. RSM and Kriging interpolation method were applied as a optimization method to consider the nonlinear shape optimization problem. Then, 16.3%, 16.6% of weight reduction was obtained from the result comparing with that of the initial model. The results of meta model optimization was compared with that of finite element method. The error values of buckling load estimation were 2.6%, 2.04%. and those of weight estimation were 0.17%, 0.13%. Therefore, it seemed that the result of Kriging model could be obtained closer to optimum value than that of RSM model.