PENENTUAN KEMUDAHAN PADA PROSES PERMESINAN ELECTRICAL DISCHARGE MACHINING
All materials in the world could be formed and applied in many fields, such as aerospace, automotive, electronics, environment, and military industries. Selecting the right machining process technology will produce the suitable shape of raw material required. Electrical Discharge Machining (EDM) as...
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| Main Authors: | , |
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| 格式: | Theses and Dissertations NonPeerReviewed |
| 出版: |
[Yogyakarta] : Universitas Gadjah Mada
2014
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| 主題: | |
| 在線閱讀: | https://repository.ugm.ac.id/128574/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=68927 |
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| 總結: | All materials in the world could be formed and applied in many fields, such
as aerospace, automotive, electronics, environment, and military industries.
Selecting the right machining process technology will produce the suitable shape
of raw material required. Electrical Discharge Machining (EDM) as one of nonconventional
machine has been known by its ability in machining many complex
3D shapes even for high hardness metal. This machine could also process work
piece with small size (micro machining). The ease of machining a work piece by
Electrical Discharge Machining (EDM) processes is determined by � �� ��
theory.
A method in order to obtain the forecast model which can be used as initial
prediction that made the EDM process easier by using an approach between the
required energy during machining process and λ, θ, and � variables has been
developed in this research. There are two methods used for establishing the
formula: dimensional analysis of Buckingham � theorem and Logarithm-Algebra
Operations.
The formula chosen in this investigation is generated by Logarithm-Algebra
Operations which has R2 value of 0.7477. This result shows that the percentage of
formula effect on value of total energy of discharge pulses (Et) predicted is
74.77% and the effect of Mean Absolute Percentage Error (MAPE) formula on
value of total energy of discharge pulses (Et) predicted is 30.32%. Material which
has the lowest value calculated using 0,2156 0,7 0,2537 E �� �� �� formula is the
material that is predicted will be the easiest to be machined so that the suitable
electrodes could be determined. The suitable electrodes will reduce the energy
needed during machining and the tool electrode wear |
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