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pendekatan sistematik untuk identifikasi optimal kekasaran permukaan pada proses freis dengan variasi bahan (CD)
Surface roughness at one particular machine component represent result of workmanship an tool machine which can result damage. Damage which resulted from by surface roughness from a product of machinery can influence some functional attribute of product, like contact causing surface form, fatigue, timeworn and others.
Surface roughness is one other concerning prima facie quality attribute from end-milling. So that arise an problems that is how to determine parameter end-milling process by arranging amputation parameter to reach optimal surface condition.
Drawing up object test that is cast iron, steel, aluminum and plastic as according to size measure which have been determined, end-milling operation with parameter which have been determined. Measurement of surface roughness by using appliance talysirf.
Pursuant to from surface roughness measurement result hence mean as according to amputation parameter. For the cast iron got by prediction surface crudity mean 1,92 µm with condition depth of cut = 0,2 mm, cutting speed = 570 rpm, feed rate = 67,8 mm/min and tool diameter = 12 mm. At substance test its steel prediction of surface roughness mean 1,33 µm with condition depth of cut = 0,2 mm, cutting speed = 310 rpm, feed rate = 67,8 mm/min and tool diameter = 12 mm. Substance test its aluminium prediction of surface roughness mean 0,3 µm with condition depth of cut = 0,2 mm, cutting speed = 102 rpm, feed rate = 67,8 mm/min and tool diameter = 12 mm. And for the substance test its plastic prediction of surface roughness mean 0,35 µm with condition depth of cut = 0,5 mm, cuting speed = 570 rpm, feed rate = 120 mm/min and tool diameter = 12 mm.
So at process of the end-milling earn prediction crudity of most optimal surface by determining parameter of amputation before process of end-milling conducted.
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