Summary: | 碩士 === 國立虎尾科技大學 === 機械與電腦輔助工程系碩士班在職專班 === 100 === A global energy crisis and soaring raw material prices have prompted energy-saving trends this century, namely producing lightweight auto parts and using less material. The application of the forging technique is in line with the above trends. In addition, forged products are stronger and safer than metals shaped using other methods. Consequently, the application of the forging technique to the manufacture of parts and components is of great potential.
Forged wheel rims possess excellent mechanical properties. When compared with traditional cast wheel rims, forged wheel rims are safer and lighter. Faced with growing cost pressure, major car manufacturers have developed strategies to purchase parts and components worldwide.
Aluminum alloy possess many excellent characteristics, for instance, the small density, and the advantage on the strength, rigidity, impact function, corrosion, and recycling, etc. therefore the aluminum is the best choice material to use on lightweight automotive.
On the primary stage of tooling development, use Deform 3D finite element analysis software to simulate the AL 6061 wheel rims near net shape forging process. The analysis to predict the forging pressure requirement, according to the simulation results to assess the best status of tooling build-up. The strength of forging wheel rims will increase by improve the forging skill, reduce the heating material temperature, and use the near net shape forging to produce the forging flow line with lower forging temperature to cause strain hardening. Then compare the mechanical properties with traditional forging method by tensile test to approve the process.
The result shows that the forging wheel rims effectively enhance the yield strength and tensile strength by improve forging process. But the higher mechanical properties can drop the elongation on some parts. In conclusion, it needs to make the appropriate distribution and to have a choice between the mechanical properties and the measure temperature on the process design stage.
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